2007/10/18 by Wei Ren, Guiying Yan, Ren, Wei +3 · 1 citation
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Data Management and Algorithms #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.0710.3422
7 pages, 8 figures
openalex publication_date 2007/10/18 · arxiv created 2008/07/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we propose a novel semi-parametric probabilistic model which considers interactions between different communities and can provide more information about the network topology besides correctly detecting communities. By using an additional parameter, our model can not only detect community structure but also detect pattern which is a generalization of common sense network community structure. The prior parameter in our model reveals the characteristics of patterns inside the network. Results on some widely known data sets prove the efficiency of our model.