An overlapping semantic community detection algorithm base on the ARTs multiple sampling models
作者：
Highlights：
• The ARTs could resolve the issue of presetting the number of communities.
• The field clustering method could detect the semantic overlapping communities.
• The multiple sampling can accelerate the convergence of Gibbs sampling.
• The optimal sampling frequency equal to is verified by experimental study.
• The improving semantic community evaluations have a desirable performance.
摘要
•The ARTs could resolve the issue of presetting the number of communities.•The field clustering method could detect the semantic overlapping communities.•The multiple sampling can accelerate the convergence of Gibbs sampling.•The optimal sampling frequency equal to is verified by experimental study.•The improving semantic community evaluations have a desirable performance.
论文关键词：Semantic Social Network,Community detection,Overlapping communities,Multiple sampling
论文评审过程：Available online 26 December 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.029
