An improved label propagation algorithm using average node energy in complex networks

Hao Peng, Dandan Zhao, Lin Li, Jianfeng Lu, Jianmin Han and Songyang Wu

Physica A: Statistical Mechanics and its Applications, 2016, vol. 460, issue C, 98-104

Abstract: Detecting overlapping community structure can give a significant insight into structural and functional properties in complex networks. In this Letter, we propose an improved label propagation algorithm (LPA) to uncover overlapping community structure. After mapping nodes into random variables, the algorithm calculates variance of each node and the proposed average node energy. The nodes whose variances are less than a tunable threshold are regarded as bridge nodes and meanwhile changing the given threshold can uncover some latent bridge node. Simulation results in real-world and artificial networks show that the improved algorithm is efficient in revealing overlapping community structures.

Keywords: Community structure; Label propagation; Average node energy (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:460:y:2016:i:c:p:98-104

DOI: 10.1016/j.physa.2016.04.042

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