Overlapping community detection based on conductance optimization in large-scale networks

Yang Gao, Hongli Zhang and Yue Zhang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 522, issue C, 69-79

Abstract: Community structure reveals useful information in domains of sociology, biology, physics and computer science. In this work, an overlapping community detection algorithm for large-scale networks based on local expansion is proposed, in which we present a novel seeding method. And we optimize conductance of communities by: (1) modifying inaccurate community affiliations by node movements; (2) combining densely overlapping communities with a novel combining function; (3) finding communities for the outliers with our proposed theorem. Experimental results in synthetic networks show that the optimization largely enhance the community accuracy. Experimental results in large real-world networks show that our approach is superior to the others in the state of the art.

Keywords: Community detection; Conductance optimization; Community combining; Node movements (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:522:y:2019:i:c:p:69-79

DOI: 10.1016/j.physa.2019.01.142

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