@article{7d139bbb3f9a44ffa6888c319c806763,
title = "A scalable community detection algorithm for large graphs using stochastic block models",
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",
author = "Chengbin Peng and Zhihua Zhang and Ka-Chun Wong and Xiangliang Zhang and Keyes, {David E.}",
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).",
year = "2017",
month = nov,
day = "24",
doi = "10.3233/IDA-163156",
language = "English (US)",
volume = "21",
pages = "1463--1485",
journal = "Intelligent Data Analysis",
issn = "1088-467X",
publisher = "IOS Press",
number = "6",
}