Approaches to a social network groups clustering

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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 multiagent 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
Citation in English: Okhapkina E.P., Okhapkin V.P. Approaches to a social network groups clustering // Computer Research and Modeling, 2015, vol. 7, no. 5, pp. 1127-1139
Citation in English: Okhapkina E.P., Okhapkin V.P. Approaches to a social network groups clustering // Computer Research and Modeling, 2015, vol. 7, no. 5, pp. 1127-1139
DOI: 10.20537/2076-7633-2015-7-5-1127-1139
According to Crossref, this article is cited by:
  • Elena Okhapkina, Alexander Tarasov, Valentine Okhapkin. Problem of identifying destructive informational influence in social networks. — 2016. — P. 46. DOI: 10.1109/DIPDMWC.2016.7529362
Please note that citation information may be incomplete as it includes data from Crossref cited-by program partners only.
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International Interdisciplinary Conference "Mathematics. Computing. Education"

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