Magolego sna 2015 — различия между версиями

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(Seminars)
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== 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/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])]
 
''' 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])]
 
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''' 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)]
[https://docs.google.com/spreadsheets/d/1s4d4foqhunVOmLDv2XFd3kgit8MhUXLvJHvSKjY4HpI/edit#gid=0| Please, put your email here]
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== Home Assignments ==
 
== Home Assignments ==

Версия 17:26, 10 апреля 2015

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About the course

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

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 (.R)], [igraph tutorial (.Rmd), (.html)] 10 April 2015: Graph file-formats. Power law. Network descriptive statistics [Lab Script (.Rmd), (.html)], [Network data ([1]| .zip)]

Home Assignments

Coming Soon...

Usefull Links\Docs

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