Spectral clustering-based network community detection with node attributes

• DOI: 10.4310/sii.2019.v12.n1.a11
• Publication Date: 2018-10-26T16:19:30Z
• Authors: Fengqin Tang; Yuanyuan Wang; Jinxia Su; Chunning Wang
• Keywords: Spectral Clustering

Identifying communities is an important problem in network analysis.Various approaches have been proposed the literature, but most of them either rely on topological structure or node attributes, with few integrating both aspects.Here we propose a community detection approach based spectral clustering combining information and attributes (SpcSA).Some may not describe are trying to detect correctly.These irrelevant can add noise lower overall accuracy detection.To determine how much each attribute contributes detection, our method introduces mechanism by which weights adjust themselves.We demonstrate effectiveness through numerical simulation real-world data.