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Limited resolution in complex network community detection with Potts model approach

Jussi M. Kumpula·Jari Saramaki·Kimmo Kaski·Janos Kertesz
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Abstract

According to Fortunato and Barthelemy, modularity-based community detection algorithms have a resolution threshold such that small communities in a large network are invisible. Here we generalize their work and show that the q-state Potts community detection method introduced by Reichardt and Bornholdt also has a resolution threshold. The model contains a parameter by which this threshold can be tuned, but no a priori principle is known to select the proper value. Single global optimization criteria do not seem capable for detecting all communities if their size distribution is broad.

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Jussi M. Kumpula, Jari Saramaki, Kimmo Kaski, Janos Kertesz. 2007-05-14. Limited resolution in complex network community detection with Potts model approach. https://doi.org/10.1140/epjb%2Fe2007-00088-4

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