Computing communities in complex networks using the Dirichlet processing Gaussian mixture model with spectral clustering

DOI10.1016/J.PHYSLETA.2018.12.005zbMath1478.62167OpenAlexW2903621365WikidataQ128821898 ScholiaQ128821898MaRDI QIDQ822870

Yalin Jia, Jia Liu, Fang Hu, Yan-hui Zhu

Publication date: 24 September 2021

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2018.12.005

zbMATH Keywords

Dirichlet processcommunity detectionspectral clusteringGaussian mixture modelcomplex networks

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Inference from stochastic processes and spectral analysis (62M15) Statistical aspects of big data and data science (62R07)

Uses Software

• GraphBase

Cites Work

• U-statistic hierarchical clustering
• An algorithm J-SC of detecting communities in complex networks
• A Method for Comparing Two Hierarchical Clusterings
• Community structure in social and biological networks
• Fast unfolding of communities in large networks
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