A scalable community detection algorithm for large graphs using stochastic block models

Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Community detection in graphs is widely used in social and biological networks, and the stochastic block model is a powerful probabilistic tool for describing graphs with community structures. However, in the era of
Original languageEnglish (US)
Pages (from-to)1463-1485
Number of pages23
JournalIntelligent Data Analysis
Volume21
Issue number6
DOIs
StatePublished - Nov 24 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST).

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