GWBM: an algorithm based on grey wolf optimization and balanced modularity for community discovery in social networks
Abstract
One of the crucial research areas in the analysis of complex social networks is the identification of communities. Since community detection is an NP-complete problem, numerous meta-heuristic approaches have been used for this problem, mostly taking “modularity” as the objective function. However, modularity-based optimization methods suffer from resolution limit. In this paper, a novel community detection algorithm is proposed that aims to...
Paper Details
Title
GWBM: an algorithm based on grey wolf optimization and balanced modularity for community discovery in social networks
Published Date
Nov 10, 2021
Volume
78
Issue
5
Pages
7354 - 7377
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