Finding compact communities in large graphs

J. Creusefond; T. Largillier; S. Peyronnet

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arXiv · 1410.2105

Finding compact communities in large graphs

J. Creusefond·T. Largillier·S. Peyronnet

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Abstract

This article presents an efficient hierarchical clustering algorithm that solves the problem of core community detection. It is a variant of the standard community detection problem in which we are particularly interested in the connected core of communities. To provide a solution to this problem, we question standard definitions on communities and provide alternatives. We also propose a function called compactness, designed to assess the quality of a solution to this problem. Our algorithm is based on a graph traversal algorithm, the LexDFS. The time complexity of our method is in $O(n\times log(n))$. Experiments show that our algorithm creates highly compact clusters.

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J. Creusefond, T. Largillier, S. Peyronnet. 2015-08-31. Finding compact communities in large graphs. https://arxiv.org/abs/1410.2105

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