Evolutionary community discovery in dynamic social networks via resistance distance

作者：

Highlights：

• We propose a dynamic community evolution method based on resistance distance.

• To model the time-varying features of dynamic networks.

• To obtain the heterogeneity of neighbor nodes in the local topology of nodes.

• To design a community discovery algorithm that essentially searches the core node.

摘要

•We propose a dynamic community evolution method based on resistance distance.•To model the time-varying features of dynamic networks.•To obtain the heterogeneity of neighbor nodes in the local topology of nodes.•To design a community discovery algorithm that essentially searches the core node.

论文关键词：Dynamic social networks,Community discovery,Community evolution,Resistance distance

论文评审过程：Received 2 March 2020, Revised 19 December 2020, Accepted 23 December 2020, Available online 29 December 2020, Version of Record 18 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114536