https://wiki.cs.hse.ru/api.php?action=feedcontributions&feedformat=atom&user=Shestakoffandrey 2026-09-21T10:30:21Z Вклад MediaWiki 1.43.9 https://wiki.cs.hse.ru/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Ashestakoff&diff=17315 2015-10-08T09:13:32Z

<p>Shestakoffandrey: /* Шестаков Андрей Владимирович */</p> <hr /> <div>{{Карточка_ментора<br /> |categorize = yes<br /> }}<br /> <br /> = Шестаков Андрей Владимирович =<br /> [[Файл:Ashestakoff small.jpg|мини|Шестаков А.В. (выспанный) в анфас]]<br /> Дата Рождения: 17.05.1991&lt;br \&gt;<br /> <br /> Аспирант Факультета Компьютерных Наук (год поступления - 2014)&lt;br \&gt;<br /> Патриот НИУ ВШЭ (см. образование), в частности, Отделения Прикладной Математики и Информатики Факультета Бизнес Информатики, которое, слава богу, перешло в состав Факультета Компьютерных Наук<br /> <br /> == Образование ==<br /> '''Бакалавриат:''' НИУ ВШЭ, 2012, факультет: Отделение Прикладной Математики и Информатики&lt;br /&gt;<br /> '''Магистратура:''' НИУ ВШЭ, 2014, факультет: Отделение Прикладной Математики и Информатики&lt;br /&gt;<br /> '''Магистратура''' (по обмену): [http://www.isima.fr/ Institut supérieur d'informatique, de modélisation et de leurs applications], 2014, spécialité: Master Recherche - Modèles, Systèmes, Imagerie, Informatique&lt;br /&gt;<br /> '''Аспирантура:''' НИУ ВШЭ, факультет: Компьютерных Наук&lt;br /&gt;<br /> <br /> == Профессиональные интересы ==<br /> * Анализ Данных<br /> * Машинное Обучение<br /> * Прикладная Статистика<br /> * Прогнозирование Временных Рядов<br /> <br /> == Проекты ==<br /> * [[Утилита_для_чистки_корпуса_от_дубликатов_(проект)|Утилита для чистки корпуса от дубликатов]]<br /> * [[Утилита_для_очистки_текстов_от_обсценной_лексики_(проект)|Утилита для очистки текстов от обсценной лексики]]<br /> <br /> == Some Stuff ==<br /> [https://www.dropbox.com/s/n1shqf35n5pc32m/r_tutorial.zip?dl=0 Анализ и разработка данных 08.10.2015]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=%D0%A3%D1%87%D0%B0%D1%81%D1%82%D0%BD%D0%B8%D0%BA:Ashestakoff&diff=17314 2015-10-07T22:31:30Z

<p>Shestakoffandrey: /* Шестаков Андрей Владимирович */</p> <hr /> <div>{{Карточка_ментора<br /> |categorize = yes<br /> }}<br /> <br /> = Шестаков Андрей Владимирович =<br /> [[Файл:Ashestakoff small.jpg|мини|Шестаков А.В. (выспанный) в анфас]]<br /> Дата Рождения: 17.05.1991&lt;br \&gt;<br /> <br /> Аспирант Факультета Компьютерных Наук (год поступления - 2014)&lt;br \&gt;<br /> Патриот НИУ ВШЭ (см. образование), в частности, Отделения Прикладной Математики и Информатики Факультета Бизнес Информатики, которое, слава богу, перешло в состав Факультета Компьютерных Наук<br /> <br /> == Образование ==<br /> '''Бакалавриат:''' НИУ ВШЭ, 2012, факультет: Отделение Прикладной Математики и Информатики&lt;br /&gt;<br /> '''Магистратура:''' НИУ ВШЭ, 2014, факультет: Отделение Прикладной Математики и Информатики&lt;br /&gt;<br /> '''Магистратура''' (по обмену): [http://www.isima.fr/ Institut supérieur d'informatique, de modélisation et de leurs applications], 2014, spécialité: Master Recherche - Modèles, Systèmes, Imagerie, Informatique&lt;br /&gt;<br /> '''Аспирантура:''' НИУ ВШЭ, факультет: Компьютерных Наук&lt;br /&gt;<br /> <br /> == Профессиональные интересы ==<br /> * Анализ Данных<br /> * Машинное Обучение<br /> * Прикладная Статистика<br /> * Прогнозирование Временных Рядов<br /> <br /> == Проекты ==<br /> * [[Утилита_для_чистки_корпуса_от_дубликатов_(проект)|Утилита для чистки корпуса от дубликатов]]<br /> * [[Утилита_для_очистки_текстов_от_обсценной_лексики_(проект)|Утилита для очистки текстов от обсценной лексики]]<br /> <br /> == Some Stuff ==</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16799 2015-06-25T15:52:23Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> <br /> '''THE FINAL EXAM''' will be held on ''26.06.2015'' at 18:10, room 501<br /> <br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 25.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16775 2015-06-17T18:44:14Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> <br /> '''THE FINAL EXAM''' will be held on ''26.06.2015'' at 18:10, room 501<br /> <br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 12.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16774 2015-06-17T18:26:13Z

<p>Shestakoffandrey: /* About the course */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> <br /> '''THE FINAL EXAM''' will be held on ''26.06.2015'' at 18:10.<br /> <br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 12.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16773 2015-06-17T18:23:42Z

<p>Shestakoffandrey: /* About the course */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> '''FINAL EXAM''' will be held on ''26.06.2015''<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 12.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16772 2015-06-16T12:28:44Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 12.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16757 2015-06-12T00:39:33Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 12.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16753 2015-06-10T15:59:56Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> '''4. Network Epidemics ''' -- [due date - 19.06.2015 23:59] -- [([https://www.dropbox.com/s/xmamo7quxm94enp/sna_ha4.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_ha4 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 05.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16728 2015-06-05T15:52:52Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])], [''Graph'' ([https://www.dropbox.com/s/pqwzwokpdjhoblr/graph.txt?dl=0 .txt])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 05.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16727 2015-06-05T15:26:44Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> ''' 5 June 2015:''' Information Propagation Models [''Lab Script'' ([https://www.dropbox.com/s/qq9mvznerdq9955/sna_lab8.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab8 .html])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 05.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16726 2015-06-05T15:10:24Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 05.06.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16515 2015-05-29T12:02:14Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=16509 2015-05-29T11:59:47Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> ''' 29 May 2015:''' Epidemic Models [''Lab Script'' ([https://www.dropbox.com/s/g25z7qt87k8icl0/lab7.rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab7 .html])]&lt;br/&gt;<br /> <br /> http://rpubs.com/shestakoff/sna_lab7<br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=15828 2015-05-27T16:59:11Z

<p>Shestakoffandrey: /* Usefull Links\Docs */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]<br /> # [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]<br /> # [http://swirlstats.com/ Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=14787 2015-05-24T11:23:01Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> '''3. Network preprocessing. Community detection ''' -- [due date - 05.06.2015 23:59] -- [([https://www.dropbox.com/s/x4x6nmf8p6069qb/sna_ha3.rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha3 .html])] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=14638 2015-05-22T14:51:47Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Graph Patterns, Assortativity Mixing [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=14637 2015-05-22T14:51:06Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> ''' 22 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/kdtybdl8m2ckzbc/lab6.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab6 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=12529 2015-05-15T14:57:52Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/k2pk4ufpv8evv04/R%20Tutorial.pdf?dl=0| .pdf])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=12517 2015-05-15T12:05:32Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> ''' 15 May 2015:''' Dense subgraphs and communities [''Lab Script'' ([https://www.dropbox.com/s/dwffl9124ti746i/lab5.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab5 .html])]&lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=12139 2015-05-13T19:29:32Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> '''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 13.05.2015)'''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=12138 2015-05-13T19:27:56Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> &lt;br/&gt;<br /> &lt;br/&gt;<br /> ''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing](Results [Update 13.05.2015])''<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=9535 2015-04-30T15:08:07Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])], [https://drive.google.com/file/d/0B0QWEJMlsxfRWUtVX1dlOVN1eEk/view?usp=sharing| NodeXL Tutorial] &lt;br/&gt;<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=9534 2015-04-30T14:51:25Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])] &lt;br/&gt;<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=9533 2015-04-30T14:51:12Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])]<br /> '''2. Graph models. Centrality metrics ''' -- [due date - 15.05.2015 23:59] -- [([https://www.dropbox.com/s/uw16lr7h70n1tp9/sna_ha2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha2 .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8595 2015-04-24T10:48:30Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centrality metrics [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8594 2015-04-24T10:48:09Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> ''' 24 April 2015:''' Centralities [''Lab Script'' ([https://www.dropbox.com/s/oparsgmt2u7zczn/lab_4.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab4 .html])] &lt;br/&gt;<br /> <br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8081 2015-04-21T15:41:14Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1 .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8080 2015-04-21T15:40:57Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0 .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8079 2015-04-21T15:39:44Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph | .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2 | .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0 | .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3 | .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8078 2015-04-21T15:38:49Z

<p>Shestakoffandrey: /* Home Assignments */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2| .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3| .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_ha1| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=8077 2015-04-21T15:36:07Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/tutorial_igraph| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_lab2| .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0| .Rmd]), ([http://rpubs.com/shestakoff/sna_lab3| .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/qdknos7apztxaqx/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=7879 2015-04-20T16:55:38Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/vzzbqdgy27th8a7/IntroLab.R?dl=0| .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/u8gam5xdloxhknn/tutorial_igraph.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/wxusskwd77mpo1n/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vnl9c9leylwfr7m/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/8pso9f9qim4y6t2/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/44lh1xa0r5sj7f8/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/tydpivc6a3b55ta/lab_3.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/3yy4t3wncj93rox/lab_3.html?dl=0| .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/nyl6e1iraw63n36/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/qdknos7apztxaqx/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=7442 2015-04-17T10:53:31Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 17 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/jeph8yegqjzqyrk/lab_3.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/8xci8oh67mtkr1g/lab_3.html?dl=0| .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/axx0gw7ki82a46a/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/rn0eyy5uy11e3td/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=7441 2015-04-17T10:53:18Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/jeph8yegqjzqyrk/lab_3.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/8xci8oh67mtkr1g/lab_3.html?dl=0| .html])] &lt;br/&gt;<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/axx0gw7ki82a46a/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/rn0eyy5uy11e3td/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=7440 2015-04-17T10:52:56Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])]<br /> ''' 10 April 2015:''' Graph models [''Lab Script'' ([https://www.dropbox.com/s/jeph8yegqjzqyrk/lab_3.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/8xci8oh67mtkr1g/lab_3.html?dl=0| .html])]<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/axx0gw7ki82a46a/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/rn0eyy5uy11e3td/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=6590 2015-04-12T23:52:48Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])]<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> '''1. Power law. Descriptive network analysis ''' -- [due date - 24.04.2015 23:59] -- [([https://www.dropbox.com/s/axx0gw7ki82a46a/sna_ha1.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/rn0eyy5uy11e3td/sna_ha1.html?dl=0| .html])]<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=6301 2015-04-10T15:22:01Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])]<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=6294 2015-04-10T14:28:29Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip])]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=6293 2015-04-10T14:27:54Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])] &lt;br/&gt;<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0| .zip)]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=6292 2015-04-10T14:26:57Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])]<br /> ''' 10 April 2015:''' Graph file-formats. Power law. Network descriptive statistics [''Lab Script'' ([https://www.dropbox.com/s/vphzn9gkbj8069k/Seminar2.Rmd?dl=0| .Rmd]), ([https://www.dropbox.com/s/0ao6bu76j5nnadg/Seminar2.html?dl=0| .html])], [''Network data'' ([https://www.dropbox.com/s/8vesub7ggg4lg9i/networks.zip?dl=0]| .zip)]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5257 2015-04-03T15:42:28Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])]<br /> <br /> [https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5256 2015-04-03T15:34:06Z

<p>Shestakoffandrey: /* Seminars */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph [''R tutorial'' ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 .R])], [''igraph tutorial'' ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0| .Rmd]), ([https://www.dropbox.com/s/5qazf45daa9bby0/tutorial_igraph.html?dl=0| .html])]<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5253 2015-04-03T15:28:30Z

<p>Shestakoffandrey: /* Usefull Links\Docs */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5232 2015-04-02T21:59:38Z

<p>Shestakoffandrey: /* MAGoLEGO SOCIAL NETWOKR ANALYSIS */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/students.html| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5231 2015-04-02T21:57:26Z

<p>Shestakoffandrey: </p> <hr /> <div>=MAGoLEGO SOCIAL NETWOKR ANALYSIS=<br /> __TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/students.html| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=%D0%9E_%D1%84%D0%B0%D0%BA%D1%83%D0%BB%D1%8C%D1%82%D0%B5%D1%82%D0%B5&diff=5229 2015-04-02T21:56:32Z

<p>Shestakoffandrey: </p> <hr /> <div>== Факультет компьютерных наук НИУ ВШЭ ==<br /> <br /> == Курсы за 2014/15 учебный год ==<br /> [[Основы и методологии программирования]]&lt;br /&gt;<br /> [[Алгоритмы и структуры данных]]&lt;br /&gt;<br /> [[Анализ данных (Программная инженерия)]]&lt;br /&gt;<br /> [[Алгебра]]&lt;br /&gt;<br /> [[Magolego_sna_2015| MAGoLEGO Social Network Analysis]]<br /> <br /> == Проектная работа, 2015 год ==<br /> [[Проектная работа]]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5227 2015-04-02T21:53:45Z

<p>Shestakoffandrey: /* About the course */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov <br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/students.html| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5225 2015-04-02T21:50:48Z

<p>Shestakoffandrey: </p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> == About the course ==<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugen Kolbey, Tanya Makhalova, Pavel Perevedencev<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> == Seminars ==<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> == Home Assignments ==<br /> Coming Soon...<br /> <br /> == Usefull Links\Docs ==<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/students.html| Learning R with SWIRL]</div>

Shestakoffandrey https://wiki.cs.hse.ru/index.php?title=Magolego_sna_2015&diff=5224 2015-04-02T21:50:18Z

<p>Shestakoffandrey: /* Usefull Links\Docs */</p> <hr /> <div>__TOC__ [[Файл:FB-donation degree.png|мини]]<br /> === About the course ===<br /> Course web-page: http://www.leonidzhukov.net/hse/2015/sna/<br /> <br /> '''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov &lt;br/&gt;<br /> '''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugen Kolbey, Tanya Makhalova, Pavel Perevedencev<br /> <br /> Please, send your questions and home assignments to [mailto:hse.ntwks@gmail.com hse.ntwks@gmail.com] with prefix ''[MAGOLEGO SNA 2015]'' in message topic<br /> <br /> === Seminars ===<br /> ''' 3 April 2015:''' Basic concepts and pre-requisites for the course. Introduction to R and igraph ([https://www.dropbox.com/s/kh1i77b2hib6yan/IntroLab.R?dl=0 R tutorial]) ([https://www.dropbox.com/s/4dj05y7pgh6euq7/igraph_tutorial.rar?dl=0 igraph tutorial])<br /> <br /> === Home Assignments ===<br /> Coming Soon...<br /> <br /> === Usefull Links\Docs ===<br /> # [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]<br /> # [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]<br /> # [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]<br /> # [http://swirlstats.com/students.html| Learning R with SWIRL]</div>

Shestakoffandrey