Samuel Thiriot

Monday 14 November 2016
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Software for networks analysis

The igraph package (http://igraph.sourceforge.net/) is a must-have. It includes basic network generators, efficient and reliable algorithms for statistical analysis - shortest pathes, clustering, centrality, etc. Stores graphs in a sparse way. Exists as a C library, a python one, and a R package. This last one is very efficient and convenient. See doc here: http://igraph.sourceforge.net/docum....

SIENA, from Tom Snidjers, is devoted to the statistical analysis of longitudinal social network data (dynamics networks) http://stat.gamma.rug.nl/siena.html.

The wikipedia page http://en.wikipedia.org/wiki/Social... lists (too ?) many softs, most of them being able to perform statistical analysis.

Networks generation

The nauty set of programs (http://cs.anu.edu.au/~bdm/nauty/), written by Brendan McKay, contains geng a marvellous tool able to generate all the possible networks of size N in a very efficient way. It is even able to generate only non-isomorphic networks (see the manual).

More software

Also see a list of software there: http://www.wikiviz.org/wiki/Tools

Bookmarks
All the bookmarks shared in this website.
Networks: manipulate them in Java
How to generate, analyze, manipulate networks in Java ? Here is a panorama (not exhustive) of the existing libraries. JUNG The JUNG framework (...)
Networks: persist them
How, where to save graphs and networks ? The classical solution is to store graphs into files using formats as interoperable as possible; yet more and more (...)
Simple Interconnected Islands network generator
Overview The Simple Interconnect Islands (SII) network generator creates networks made of nb.islands islands. Each island is made of a random network of (...)
YANG - plausible networks generation
YANG (Yet Another Network Generator) is a laboratory devoted to the reconstruction of plausible networks from local rules. It was applied to the (...)
Networks: public data
Network data is sometimes freely available online. Here are some examples. Real networks and data many sources in the KONECT site web map as a graph DOMES (...)
Growing Interconnected Islands network generator
Overview In this variation of Simple Interconnected Islands, each island is made of a growing network instead of a random network. Leads to a skewed (...)

(c) Samuel Thiriot 2012-2018
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