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Computing Communities in Large Networks Using Random Walks

This project implements the paper [1] that proposes a random-walk based algorithm Walktrap to efficiently find clusters in graphs. Also, I add extensive comparison tests with other algorithms and results from experiments on randomly-generated as well as real-world networks. One additional community detection algorithm and two real-world networks beyond the scope of the original paper are considered.

[1] Pascal Pons and Matthieu Latapy. Computing communities in large networks using random walks. J. Graph Algorithms Appl., 10(2):191โ€“218, 2006.

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computing-communities-in-large-networks-using-random-walks's Issues

Datasets are missing from repository.

Can you add following datasets to repository?

  • ./../Datasets/football/football.gml
  • ./../Datasets/lesmis/lesmis.gml
  • ./../Datasets/dolphins/dolphins.gml

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