Evolution of communities in dynamic social networks: An efficient map-based approach

作者：

Highlights：

• Proposing a highly efficient approach to track community evolution.

• Defining a new community evolution terminology.

• Showing the effects of community detection algorithms on community evolution.

• Considering partial evolution and non-consecutive time windows.

摘要

•Proposing a highly efficient approach to track community evolution.•Defining a new community evolution terminology.•Showing the effects of community detection algorithms on community evolution.•Considering partial evolution and non-consecutive time windows.

论文关键词：Complex network,Social network analysis,Dynamic network,Community evolution,Community matching

论文评审过程：Received 15 October 2018, Revised 15 December 2019, Accepted 17 January 2020, Available online 20 January 2020, Version of Record 26 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113221