PODCD: Probabilistic overlapping dynamic community detection

作者：

Highlights：

• Propose a novel probabilistic based dynamic community detection algorithm.

• Present a primary node based metric to detect dynamic community structures.

• Model the dynamic property of networks based on the evolutionary clustering.

• The proposed approach outperformed several state-of-the-art methods.

摘要

•Propose a novel probabilistic based dynamic community detection algorithm.•Present a primary node based metric to detect dynamic community structures.•Model the dynamic property of networks based on the evolutionary clustering.•The proposed approach outperformed several state-of-the-art methods.

论文关键词：Complex networks,Temporal networks,Dynamic community detection,Network evolution,Probabilistic graphical model,Overlapping structures

论文评审过程：Received 15 January 2020, Revised 20 January 2021, Accepted 20 January 2021, Available online 1 February 2021, Version of Record 7 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114650