Multi-Objective Optimization of Local Overlapping Community Detection: A Formal Model and Novel Evolutionary Algorithm

Zhang, Lei; Li, Bin; Yang, Haipeng; Cheng, Fan; Zhang, Cheng; Cao, Renzhi

doi:10.1109/tnse.2023.3243120

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“…Sometimes it is reasonable to take several conflicting criteria into account at the same time in network clustering. Therefore, there are some multi-objective methods [2][3][4][5][6] being proposed. In the real-world networks are often dynamic due to various factors.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective consensus community detection algorithm based on Whale algorithm

Zhou,

Chen,

Dai

2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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Community detection in dynamic network is an essential topic in recent years that faces challenging tasks. In this paper, we introduce the concept of consensus community and propose a consensus community detection algorithm based on whale algorithm. The purpose of consensus community is to find knowledge from the network of previous time step and brought the knowledge to the network of successive time. Experimental results on artificial and real-world networks show that our method is more accurate and robust than some other state-of-art algorithms.

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