Detection of Communities in a Graph of Interactive Objects

M. I. Kolomeychenko; I. V. Polyakov; A. A. Chepovskiy; A. M. Chepovskiy

doi:10.1007/s10958-019-04168-2

Detection of Communities in a Graph of Interactive Objects

作者: Kolomeychenko M.I.¹, Polyakov I.V.², Chepovskiy A.A.², Chepovskiy A.M.²
隶属关系:
1. Federal Research Center “Information and Management” of the Russian Academy of Sciences
2. National Research University “The Higher School of Economics”
期: 卷 237, 编号 3 (2019)
页面: 426-431
栏目: 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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详细

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.