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An adaptive high-order knowledge guided multi-objective evolutionary algorithm for dynamic community detection

delete2026-03-02
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PRE
AI
X
Xiangyi Teng *
C
Chenjie Gao *
刘
刘晶 (Jing Liu)
DOI：10.1016/j.asoc.2026.114935delete
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Abstract

Abstract

En 中文
• We propose an adaptive high-order knowledge-guided MOEA to effectively solve the dynamic community detection problem. • We design a new encoding strategy and a novel biased mutation operator to better harness high-order knowledge. • A high-order NMI-based objective function is developed with adaptive weights based on temporal snapshot influence. • Our method achieved superior results and automatically determined the number of communities without requiring any prior knowledge.
Keywords:
dynamic community detection
multi-objective evolutionary algorithm
high-order knowledge
adaptive weighting
community detection

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available