Advanced modularity-specialized label propagation algorithm for detecting communities in networks

X. Liu and T. Murata

Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 7, 1493-1500

Abstract: A modularity-specialized label propagation algorithm (LPAm) for detecting network communities was recently proposed. This promising algorithm offers some desirable qualities. However, LPAm favors community divisions where all communities are similar in total degree and thus it is prone to get stuck in poor local maxima in the modularity space. To escape local maxima, we employ a multistep greedy agglomerative algorithm (MSG) that can merge multiple pairs of communities at a time. Combining LPAm and MSG, we propose an advanced modularity-specialized label propagation algorithm (LPAm+). Experiments show that LPAm+ successfully detects communities with higher modularity values than ever reported in two commonly used real-world networks. Moreover, LPAm+ offers a fair compromise between accuracy and speed.

Keywords: Community detection; Modularity; Network; Graph; Clustering (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:389:y:2010:i:7:p:1493-1500

DOI: 10.1016/j.physa.2009.12.019

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