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Proceedings of the Institute for System Programming of the RAS, 2016, Volume 28, Issue 6, Pages 153–170
DOI: https://doi.org/10.15514/ISPRAS-2016-28(6)-11 (Mi tisp91) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Parallel modularity computation for directed weighted graphs with overlapping communities

Mikhail Drobyshevskiya, Anton Korshunova, Denis Turdakovabc

a Institute for System Programming of the Russian Academy of Sciences
b National Research University "Higher School of Economics" (HSE)
c Lomonosov Moscow State University
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DOI: https://doi.org/10.15514/ISPRAS-2016-28(6)-11
Abstract: The paper presents new versions of modularity measure for directed weighted graphs with overlapping communities. We consider several approaches to computing modularity and try to extend them. Taking into account computational complexity, we suggest two parallelized extensions which are scalable to large graphs (more than $10^4$ nodes).
Keywords: modularity, community detection, PageRank, LinkRank, belonging function, belonging coefficient.
Funding agency
This research was collaborated with and supported by Russian Research Center, Huawei Technologies.
Bibliographic databases:
Document Type: Article
Language: English
Citation: Mikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov, “Parallel modularity computation for directed weighted graphs with overlapping communities”, Proceedings of ISP RAS, 28:6 (2016), 153–170
Citation in format AMSBIB
\Bibitem{DroKorTur16}
\by Mikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov
\paper Parallel modularity computation for directed weighted graphs with overlapping communities
\jour Proceedings of ISP RAS
\yr 2016
\vol 28
\issue 6
\pages 153--170
\mathnet{http://mi.mathnet.ru/tisp91}
\crossref{https://doi.org/10.15514/ISPRAS-2016-28(6)-11}
\elib{https://elibrary.ru/item.asp?id=27679176}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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