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

Hongji Zhou; Guoqiang Chen; Taoyun Dai

doi:10.1117/12.2692076

23 August 2023 A multi-objective consensus community detection algorithm based on Whale algorithm

Hongji Zhou, Guoqiang Chen, Taoyun Dai

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840O (2023) https://doi.org/10.1117/12.2692076
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

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.

Citation Download Citation

Hongji Zhou, Guoqiang Chen, and Taoyun Dai "A multi-objective consensus community detection algorithm based on Whale algorithm", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840O (23 August 2023); https://doi.org/10.1117/12.2692076

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