Evolutionary Community Discovery from Dynamic Multi-relational CQA ...
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This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and ...
This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and ...
This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and ...
As a knowledge sharing platform, Community. Question Answering (CQA) services have attracted much attention from both academic and industry. This.
Are two users more likely to be friends if they share common interests? Are two users more likely to share common interests if they're friends?
Jun 1, 2021 · In this paper, we propose a method of tracking dynamic community evolution that is based on resistance distance.
Missing: relational CQA
Evolutionary community discovery is a hot research topic which clusters the dynamic or temporal network. The communities detected in dynamic network should ...
Dec 19, 2020 · We design a community discovery algorithm that essentially discovers community structures on dynamic networks by identifying the so-called core ...
Evolutionary community discovery from dynamic multi-relational CQA networks. Zeng, Daniel ; Li, Qiudan. 2010. 会议名称, 2010 IEEE/WIC/ACM International ...
Jan 29, 2014 · In this article, we propose a probabilistic community model (PCM) to extract overlapping community structures and capture their evolution ...