Multiplex community detection in complex networks using an evolutionary approach

作者：

Highlights：

• The MOEA/D-TS is applied to detect shared communities in multiplex networks.

• Improved MOEA/D-TS uses the clustering coefficient for the generation of initial population.

• No prior knowledge on the number and size of communities is required.

• Experiments on real networks show the superiority of the improved MOEA/D-TS.

摘要

•The MOEA/D-TS is applied to detect shared communities in multiplex networks.•Improved MOEA/D-TS uses the clustering coefficient for the generation of initial population.•No prior knowledge on the number and size of communities is required.•Experiments on real networks show the superiority of the improved MOEA/D-TS.

论文关键词：Community detection,Multiplex networks,Evolutionary algorithms,Social network analysis

论文评审过程：Received 18 September 2019, Revised 15 December 2019, Accepted 3 January 2020, Available online 7 January 2020, Version of Record 13 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113184