Отправить статью по E-mail Detection of Communities in a Graph of Interactive Objects
- Авторы: Kolomeychenko M.I.1, Polyakov I.V.2, Chepovskiy A.A.2, Chepovskiy A.M.2
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Учреждения:
- Federal Research Center “Information and Management” of the Russian Academy of Sciences
- National Research University “The Higher School of Economics”
- Выпуск: Том 237, № 3 (2019)
- Страницы: 426-431
- Раздел: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/242358
- DOI: https://doi.org/10.1007/s10958-019-04168-2
- ID: 242358
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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.
Об авторах
M. Kolomeychenko
Federal Research Center “Information and Management” of the Russian Academy of Sciences
Email: Jade.Santos@springer.com
Россия, Moscow
I. Polyakov
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Россия, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Россия, Moscow
A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Россия, Moscow
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