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Modelling the Information-Psychological Impact in Social Networks

In: Probability, Combinatorics and Control

Author

Listed:
  • Igor Goncharov
  • Alexander Dushkin
  • Nikita Goncharov
  • Pavel Parinov
  • Sergey Kochedykov

Abstract

The paper considers the objects, subjects, purposes, tools, methods and implementation of information-psychological impact (IPI). It suggests a cellular automata model of the diffusion process of information-psychological impact in social networks, the hierarchy of the changes in the states of the subjects of information-psychological impact and the chart of transitions from state to state used in the cellular automaton algorithm. The suggested cellular automaton takes into account the effect of forgetting the information-psychological impact, as well as social and psychological parameters and probabilistic characteristics of the subjects of the social network. It therefore allows for the modelling of the diffusion of the information-psychological impact in the social network. The model can be used to determine the number of subjects affected by the information-psychological impact and the possibility of successful diffusion of the impact. The modelling of the suggested algorithm was performed. The results of the modelling are analysed in the paper.

Suggested Citation

  • Igor Goncharov & Alexander Dushkin & Nikita Goncharov & Pavel Parinov & Sergey Kochedykov, 2020. "Modelling the Information-Psychological Impact in Social Networks," Chapters, in: Andrey Kostogryzov & Victor Korolev (ed.), Probability, Combinatorics and Control, IntechOpen.
    • Handle: RePEc:ito:pchaps:198503
    DOI: 10.5772/intechopen.88252
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    More about this item

    Keywords

    social network; information-psychological impact; negative information-psychological impact; positive information-psychological impact; cellular automata; diffusion; social and psychological parameters;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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