Parallel and distributed paradigms for community detection in social networks: A methodological review
作者：
Highlights：
• Systematic procedures are followed to obtain the most relevant studies.
• Mendeley web application is used in filtering process to extract the relevant studies.
• Each relevant study is evaluated based on the performance analysis questions.
• Selected studies are compared based on the various important parameters.
• The articles are categorized based on the type of framework used for implementations.
摘要
•Systematic procedures are followed to obtain the most relevant studies.•Mendeley web application is used in filtering process to extract the relevant studies.•Each relevant study is evaluated based on the performance analysis questions.•Selected studies are compared based on the various important parameters.•The articles are categorized based on the type of framework used for implementations.
论文关键词：Social Networks,Community Detection,Parallel Algorithms,Distributed Algorithms
论文评审过程：Received 12 October 2020, Revised 6 September 2021, Accepted 19 September 2021, Available online 25 September 2021, Version of Record 30 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115956
