Keyword aware influential community search in large attributed graphs
作者：
Highlights：
• The query considers user preference (as keywords) for influential community search.
• Considering the semantics of the keywords adds flexibility for the users.
• The proposed influence measure eliminates the need for internal parameters as input.
• A novel index is proposed to efficiently retrieve the most influential communities.
• The datasets are shared publicly to help future works in this direction.
摘要
•The query considers user preference (as keywords) for influential community search.•Considering the semantics of the keywords adds flexibility for the users.•The proposed influence measure eliminates the need for internal parameters as input.•A novel index is proposed to efficiently retrieve the most influential communities.•The datasets are shared publicly to help future works in this direction.
论文关键词：Influential community search,Semantic keyword,Community search in attributed graph,Social network,Community search
论文评审过程：Received 24 November 2020, Revised 12 August 2021, Accepted 6 October 2021, Available online 16 October 2021, Version of Record 25 October 2021.
论文官网地址：https://doi.org/10.1016/j.is.2021.101914
