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JOURNALS // Fundamentalnaya i Prikladnaya Matematika // Archive

Fundam. Prikl. Mat., 2016 Volume 21, Issue 3, Pages 131–139 (Mi fpm1738)

This article is cited in 1 paper

Detection of communities in graph of interactive objects

M. I. Kolomeychenkoa, I. V. Polyakovb, A. A. Chepovskiyb, A. M. Chepovskiyb

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
b National Research University "Higher School of Economics" (HSE), Moscow

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, their classification and analysis. In addition, it considers applicability of algorithms for real tasks in social network graph analysis.

UDC: 004.421.2:519.178


 English version:
Journal of Mathematical Sciences (New York), 2019, 237:3, 426–431


© Steklov Math. Inst. of RAS, 2024