Magolego sna 2015 — различия между версиями

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(Home Assignments)
м (Откат правок Seosky (обсуждение) к версии Ashestakoff)
 
(не показаны 23 промежуточные версии 3 участников)
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__TOC__ [[Файл:FB-donation degree.png|мини]]
 
__TOC__ [[Файл:FB-donation degree.png|мини]]
 
== About the course ==
 
== About the course ==
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'''THE FINAL EXAM''' will be held on ''26.06.2015'' at 18:10, room 501
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Course web-page: http://www.leonidzhukov.net/hse/2015/sna/
 
Course web-page: http://www.leonidzhukov.net/hse/2015/sna/
  
 
'''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov <br/>
 
'''Instructors:''' Prof. Leonid Zhukov, Dr. Ilya Makarov <br/>
'''Teaching assistants:''' Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov  
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'''Teaching assistants:''' [[Участник:Ashestakoff |Andrey Shestakov]], Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.
  
 
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
 
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
  
 
== Seminars ==
 
== Seminars ==
''' 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])] <br/>
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''' 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])] <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])]  <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])]  <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])]  <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])]  <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])]  <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])]  <br/>
 
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''' 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])]<br/>
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''' 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])]<br/>
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''' 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])]<br/>
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''' 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])]<br/>
  
 
[https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]
 
[https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0 Please, put your email here]
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== Home Assignments ==
 
== Home Assignments ==
 
'''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/>
 
'''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])]
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'''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] <br/>
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'''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])] <br/>
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'''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])] <br/>
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'''[https://docs.google.com/spreadsheets/d/1MM2OxXqnWjp5zU_T1cYfYmPdoThYueAUnMe4jk7WvZM/edit?usp=sharing Results] (Update 25.06.2015)'''
  
 
== Usefull Links\Docs ==
 
== Usefull Links\Docs ==
# [https://www.dropbox.com/s/2vvm9xo0wcrcn21/r_markdown.pdf?dl=0| R Markdown Tutorual]
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# [https://www.dropbox.com/s/uxqokfto3ypx472/rmarkdown-cheatsheet.pdf?dl=0 R Markdown Cheat-Sheet]
# [https://www.dropbox.com/s/laqachove29t2xv/r_refcard.pdf?dl=0| R Cheat-Sheet]
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# [https://www.dropbox.com/s/lqogj4t3y4wks2n/R%20Tutorial.pdf?dl=0 R Short Introduction]
# [https://www.dropbox.com/s/q0mlggq160u4b80/short_r_intro.pdf?dl=0| R Short Introduction]
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# [http://swirlstats.com/ Learning R with SWIRL]
# [http://swirlstats.com/| Learning R with SWIRL]
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Текущая версия на 09:36, 26 августа 2022

FB-donation degree.png

About the course

THE FINAL EXAM will be held on 26.06.2015 at 18:10, room 501

Course web-page: http://www.leonidzhukov.net/hse/2015/sna/

Instructors: Prof. Leonid Zhukov, Dr. Ilya Makarov
Teaching assistants: Andrey Shestakov, Dmitry Petrov, Julia Dodonova, Mikhail Dubov, Eugeniy Kolbey, Tanya Makhalova, Pavel Perevedencev, Daniil Gizdatullin, Eugeniy Tsymbalov, Sergei Korolev.

Please, send your questions and home assignments to hse.ntwks@gmail.com with prefix [MAGOLEGO SNA 2015] in message topic

Seminars

3 April 2015: Basic concepts and pre-requisites for the course. Introduction to R and igraph [R tutorial (.pdf)], [igraph tutorial (.Rmd), (.html)]
10 April 2015: Graph file-formats. Power law. Network descriptive statistics [Lab Script (.Rmd), (.html)], [Network data (.zip)]
17 April 2015: Graph models [Lab Script (.Rmd), (.html)]
24 April 2015: Centrality metrics [Lab Script (.Rmd), (.html)]
15 May 2015: Dense subgraphs and communities [Lab Script (.Rmd), (.html)]
22 May 2015: Graph Patterns, Assortativity Mixing [Lab Script (.Rmd), (.html)]
29 May 2015: Epidemic Models [Lab Script (.Rmd), (.html)]
5 June 2015: Information Propagation Models [Lab Script (.Rmd), (.html)], [Graph (.txt)]

Please, put your email here

Home Assignments

1. Power law. Descriptive network analysis -- [due date - 24.04.2015 23:59] -- [(.Rmd), (.html)]
2. Graph models. Centrality metrics -- [due date - 15.05.2015 23:59] -- [(.Rmd), (.html)], NodeXL Tutorial
3. Network preprocessing. Community detection -- [due date - 05.06.2015 23:59] -- [(.Rmd), (.html)]
4. Network Epidemics -- [due date - 19.06.2015 23:59] -- [(.Rmd), (.html)]



Results (Update 25.06.2015)

Usefull Links\Docs

  1. R Markdown Cheat-Sheet
  2. R Short Introduction
  3. Learning R with SWIRL