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Project Summary

graph-tool is a python module to help with statistical analysis of graphs.

Its feature set includes support for both directed and undirected graphs with arbitrary vertex and edge properties, edge/vertex filtering, correlated random graph generation and community detection.

It supports also several statistical measurements, such as: degree histogram, combined degree histogram, vertex-vertex degree correlation, average nearest neighbours degree, vertex-edge-vertex correlation, clustering coefficients, extended clustering coefficient, assortativity coefficient, betweenness centrality, average distance, component statistics and reciprocity.

The core algorithms are written in C++, making use of the Boost Graph Library, and template metaprogramming techniques, with performance in mind.

In a Nutshell, graph-tool...

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30 Day Summary

Aug 22 2016 — Sep 21 2016

12 Month Summary

Sep 21 2015 — Sep 21 2016
  • 789 Commits
    Up + 265 (50%) from previous 12 months
  • 2 Contributors
    Down -2 (50%) from previous 12 months


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