Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society

  • Ivan Derevitskii
  • Oksana Severiukhina
  • Klavdiya Bochenina
  • Daniil Voloshin
  • Anastasia Lantseva
  • Alexander Boukhanovsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10861)


To describe the diversity of opinions and dynamics of their changes in a society, there exist different approaches—from macroscopic laws of political processes to individual-based cognition and perception models. In this paper, we propose mesoscopic individual-based model of opinion dynamics which tackles the role of context by considering influence of different sources of information during life cycle of agents. The model combines several sub-models such as model of generation and broadcasting of messages by mass media, model of daily activity, contact model based on multiplex network and model of information processing. To show the applicability of the approach, we present two scenarios illustrating the effect of the conflicting strategies of informational influence on a population and polarization of opinions about topical subject.


Context-dependent modeling Multiagent modeling Opinion dynamics Virtual society 



This research was supported by The Russian Scientific Foundation, Agreement #14-21-00137-П (02.05.2017).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ivan Derevitskii
    • 1
  • Oksana Severiukhina
    • 1
  • Klavdiya Bochenina
    • 1
  • Daniil Voloshin
    • 1
  • Anastasia Lantseva
    • 1
  • Alexander Boukhanovsky
    • 1
  1. 1.ITMO UniversitySaint PetersburgRussia

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