igraph is a collection of software packages for graph theory and network analysis. Its core is a software library written in C/C++, and it has interfaces to GNU R and Python.

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library for SNA network and graph in R with extra dimensionality [migrated]

I have a csv of the following format: person, location, time_of_day, money_spent I've been going through and seeing how to format data to make it work with the more popular libraries (see: ...
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What is the value of assortativity for k-regular graphs? [closed]

I want to know the value of assortativity for special kinds of graphs. Some tools exist for analyzing graph structures and calculation of some measures such as assortativity on them (these measures ...
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igraph edge.betweeness community detection

This question and answer (http://stats.stackexchange.com/questions/2948/how-to-do-community-detection-in-a-weighted-social-network-graph) shows that weighted community detection can be done in igraph. ...
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Importing GML file into R using the igraph extension [closed]

I would like to import the following network dataset into R using the package Igraph: http://www-personal.umich.edu/~mejn/netdata/karate.zip I am by no means an expert using the igraph package, so ...
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Weighted community analysis in R

I am trying to do a weighted community analysis. I have association matrices calculated (in SOCPROG) year by year over a 30-year period for a population of 80-100 individuals. I would like to explore ...
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742 views

Interpreting output of igraph's fastgreedy.community clustering method

With the help of several people in this community I have been wetting my feet in clustering some social network data using igraph's implementation of modularity-based clustering. I am having some ...
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Newman's modularity clustering for graphs

I am interested in running Newman's modularity clustering algorithm on a large graph. If you can point me to a library (or R package, etc) that implements it I would be most grateful. best ~lara