Enviar artigo por via de e-mail Detection of Communities in a Graph of Interactive Objects
- Autores: Kolomeychenko M.I.1, Polyakov I.V.2, Chepovskiy A.A.2, Chepovskiy A.M.2
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Afiliações:
- Federal Research Center “Information and Management” of the Russian Academy of Sciences
- National Research University “The Higher School of Economics”
- Edição: Volume 237, Nº 3 (2019)
- Páginas: 426-431
- Seção: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/242358
- DOI: https://doi.org/10.1007/s10958-019-04168-2
- ID: 242358
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Resumo
This article describes the problem of analysis of social network graphs and other interacting objects. It also presents community detection algorithms in social networks and their classification and analysis. In addition, it considers applicability of algorithms for real tasks in social network graph analysis.
Sobre autores
M. Kolomeychenko
Federal Research Center “Information and Management” of the Russian Academy of Sciences
Email: Jade.Santos@springer.com
Rússia, Moscow
I. Polyakov
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Rússia, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Rússia, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Rússia, Moscow
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