Community detection using Local Group Assimilation

作者：

Highlights：

• Community detection through clustering nodes is proposed in three stages.

• Neighborhood similarity and inter cluster edge density is taken as measures to group nodes.

• Both local and global information of networks are used for detecting communities.

• Our algorithm performs well in real world networks.

摘要

•Community detection through clustering nodes is proposed in three stages.•Neighborhood similarity and inter cluster edge density is taken as measures to group nodes.•Both local and global information of networks are used for detecting communities.•Our algorithm performs well in real world networks.

论文关键词：Community detection,Complex networks,Social media,Clustering

论文评审过程：Received 17 July 2021, Revised 28 February 2022, Accepted 5 June 2022, Available online 11 June 2022, Version of Record 20 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117794