UDC 004.942

V.P. Okhapkin, E.P. Okhapkina, A.O. Iskhakova, A.Y. Iskhakov

The article discusses the problem of the destructive information influence in social networks revealing. It is noted that the tasks that are associated with the rapid detection of destructive information influence are prerequisites for the development and improvement of methods and means for identifying such influences in social networks. To understand the social dynamics of social networks groups we consider: the communication model proposed by Theodore Newcomb, Kurt Levin’s “planar map”, and Fritz Haider’s theory of cognitive balance. UN documents on the counteraction of the use of the Internet for the extremist purposes and radicalization were analyzed. The role of the cognitive approach to the analysis of social network messages and the main scenarios implemented by influence actors in texts aimed at different audiences are considered. The study presents a systematic approach to the task of designing a multi-agent platform. Special attention is paid to the block of pattern analysis of user’s messages in social networks both from the position of mathematical modeling and social dynamics. The article describes the architecture and methods of the multi-agent system for the destructive information and humanitarian impact detection. The system consists of the administration interface, subsystems for the multi-agent system administration and agents management, clustering agents, network messages analysis and dispersion analysis. The description of the main blocks of agents and subsystems is given.

Keywords:multi-agent technologies, cluster analysis, information security, aggression, radicalization, machine learning, personality, information and psychological impact destructive informational impact, socio-cyberphysical system.

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