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This article is cited in 2 scientific papers (total in 2 papers)
MODELS OF ECONOMIC AND SOCIAL SYSTEMS
Approaches to a social network groups clustering
E. P. Okhapkinaa, V. P. Okhapkinb a Russian State University for the Humanities, Faculty of
Information Systems and Security, 25 Kirovogradskaya st.,
block 2, Moscow, 117534, Russia
b Vyatka State University, Faculty of Economics and Management, 36 Moskovskaya st., Kirov, 610000, Russia
Abstract:
The research is devoted to the problem of the use of social networks as a tool of the illegal activity and as a source of information that could be dangerous to society. The article presents the structure of the multi-agent system with which a social network groups could be clustered according to the criteria uniquely defines a group as a destructive. The agents’ of the system clustering algorithm is described.
Keywords:
multi-agent system, cluster analysis, system interaction, security.
Received: 06.03.2015 Revised: 24.06.2015
Citation:
E. P. Okhapkina, V. P. Okhapkin, “Approaches to a social network groups clustering”, Computer Research and Modeling, 7:5 (2015), 1127–1139
Linking options:
https://www.mathnet.ru/eng/crm284 https://www.mathnet.ru/eng/crm/v7/i5/p1127
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Abstract page: | 199 | Full-text PDF : | 518 | References: | 17 |
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