Community detection based on the Matthew effect

作者：

Highlights：

• New viewpoint: We consider the problem of community detection from a new viewpoint: the Matthew effect.

• High performance: The CDME algorithm has proven to be more efficient and can find high-quality communities.

• Parameter-free: The CDME method does not need parameter settings.

• Scalability:The CDME algorithm can be applied to large-scale networks.

摘要

•New viewpoint: We consider the problem of community detection from a new viewpoint: the Matthew effect.•High performance: The CDME algorithm has proven to be more efficient and can find high-quality communities.•Parameter-free: The CDME method does not need parameter settings.•Scalability:The CDME algorithm can be applied to large-scale networks.

论文关键词：Community detection,Matthew effect,Complex network,Cluster

论文评审过程：Received 3 February 2020, Revised 20 June 2020, Accepted 11 July 2020, Available online 16 July 2020, Version of Record 17 July 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106256