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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Centralization measures in weighted graphs

I'm using the igraph package in R to analyze network data. I'm currently trying to calculate some centrality measures for the ...
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Force-directed methods to draw graphs

i am working to create a mapping of the adjacencies between 100 consumer goods. I have created an adjacency matrix based on product characteristics, and then create an i-graph of the graph/network ...
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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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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