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arXiv · 1402.6508

Considerations about multistep community detection

Cristian Bisconti·Angelo Corallo·Laura Fortunato·Antonio A. Gentile
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Abstract

The problem and implications of community detection in networks have raised a huge attention, for its important applications in both natural and social sciences. A number of algorithms has been developed to solve this problem, addressing either speed optimization or the quality of the partitions calculated. In this paper we propose a multi-step procedure bridging the fastest, but less accurate algorithms (coarse clustering), with the slowest, most effective ones (refinement). By adopting heuristic ranking of the nodes, and classifying a fraction of them as `critical', a refinement step can be restricted to this subset of the network, thus saving computational time. Preliminary numerical results are discussed, showing improvement of the final partition.

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Cristian Bisconti, Angelo Corallo, Laura Fortunato, Antonio A. Gentile. 2014-02-26. Considerations about multistep community detection. https://arxiv.org/abs/1402.6508

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