Walktrap (WT by Pons and Latapy) - SergiuTripon/msc-thesis-na-epsrc GitHub Wiki

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Walktrap uses a hierarchical agglomerative method like FastGreedy (FG) but with a different merging criterion. Unlike FG, which relies on the modularity measure, WT uses a node-to-node distance measure to identify the closest communities.

This distance is based on the concept of random-walk. If two nodes are in the same community, the probability to get to a third one located in the same community through a random walk should not be very different for both of them. The distance is constructed by summing these differences over all nodes, with a correction for degree.

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