Detection of Communities in a Graph of Interactive Objects
- Авторлар: Kolomeychenko M.I.1, Polyakov I.V.2, Chepovskiy A.A.2, Chepovskiy A.M.2
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Мекемелер:
- Federal Research Center “Information and Management” of the Russian Academy of Sciences
- National Research University “The Higher School of Economics”
- Шығарылым: Том 237, № 3 (2019)
- Беттер: 426-431
- Бөлім: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/242358
- DOI: https://doi.org/10.1007/s10958-019-04168-2
- ID: 242358
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
M. Kolomeychenko
Federal Research Center “Information and Management” of the Russian Academy of Sciences
Email: Jade.Santos@springer.com
Ресей, Moscow
I. Polyakov
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Ресей, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Ресей, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Ресей, Moscow
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