ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)

vol 64 / January, 2021

DOI 10.17586/0021-3454-2019-62-6-511-516

UDC 004.94


Y. A. Ipatov
Mari State Technical University, Department of Informatics; assistant

A. V. Krevetsky
Mari State Technical University, Department of Informatics;

I. V. Kalagin
Volga State University of Technology, Department of Informatics and System Programming ;

B. V. Sokolov
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences; Deputy Director for R&D; Professor

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Abstract. Quantitative characteristics of graph models are studied. An algorithm is synthesized to analyze the dynamic characteristics of social networks target groups. The developed software toolkit may be useful in analysis of the problems of social network management by automating the tracking of causal indicators of changes in the social graph. The proposed prototype software may be of interest for marketers, system analysts, as well as for specialists involved in analysis of social networks.
Keywords: dynamic network analysis, network analysis methods, social graph models, graph visualization, conversion tool

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