Email this article Detection of Communities in a Graph of Interactive Objects
- Authors: Kolomeychenko M.I.1, Polyakov I.V.2, Chepovskiy A.A.2, Chepovskiy A.M.2
-
Affiliations:
- Federal Research Center “Information and Management” of the Russian Academy of Sciences
- National Research University “The Higher School of Economics”
- Issue: Vol 237, No 3 (2019)
- Pages: 426-431
- Section: Article
- URL: https://ogarev-online.ru/1072-3374/article/view/242358
- DOI: https://doi.org/10.1007/s10958-019-04168-2
- ID: 242358
Cite item
Open Access
Access granted
Subscription Access
Abstract
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.
About the authors
M. I. Kolomeychenko
Federal Research Center “Information and Management” of the Russian Academy of Sciences
Email: Jade.Santos@springer.com
Russian Federation, Moscow
I. V. Polyakov
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Russian Federation, Moscow
A. A. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Russian Federation, Moscow
A. M. Chepovskiy
National Research University “The Higher School of Economics”
Email: Jade.Santos@springer.com
Russian Federation, Moscow
Supplementary files
