Моделирование процессов информационно-психологического воздействия в социальных сетях

Authors

DOI:

https://doi.org/10.17308/sait.2018.2/1215

Keywords:

social network, information-psychological impact, negative IPI, positive IPI, cellular automata, distribution IPI, socio-psychological factors

Abstract

The models of social networks are considered, as well as the following classes of problems related to the study of information and psychological impact: modeling of information influence, information management and information confrontation. A model for the spread of information and psychological effects in social networks based on cellular automata is proposed, the hierarchical structure of the changes in the states of the subject of information-psychological influence, and the scheme of transitions from the state to the state that form the basis for the algorithm for the operation of the cellular automaton. The proposed cellular automaton allows to take into account the socio-psychological factors of social network subjects and to simulate the spread of information and psychological impact in the social network. The proposed algorithm is simulated. The results of modeling the proposed algorithm are presented

Author Biographies

  • И В Гончаров, Voronezh State University

    Ph.D., Associate Professor, Voronezh State University.

  • П А Паринов, Voronezh State University

    post-graduate student of the Department of Technology of Information Processing and Protection, Faculty of Computer Science, Voronezh State University

  • А А Сирота, Voronezh State University

    Doctor of Technical Sciencies, Professor, Department of Processing Technology and Information Security, Computer Sciences Faculty, Voronezh State University

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Published

2018-05-01

Issue

Section

System Analysis of Socio-Economic Processes

How to Cite

Моделирование процессов информационно-психологического воздействия в социальных сетях. (2018). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 2, 93-104. https://doi.org/10.17308/sait.2018.2/1215

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