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2018 | OriginalPaper | Chapter

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

Authors : Ivan Derevitskii, Oksana Severiukhina, Klavdiya Bochenina, Daniil Voloshin, Anastasia Lantseva, Alexander Boukhanovsky

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

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Abstract

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.

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Footnotes
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Metadata
Title
Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society
Authors
Ivan Derevitskii
Oksana Severiukhina
Klavdiya Bochenina
Daniil Voloshin
Anastasia Lantseva
Alexander Boukhanovsky
Copyright Year
2018
Book
Computational Science – ICCS 2018

Print ISBN: 978-3-319-93700-7

Electronic ISBN: 978-3-319-93701-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93701-4_11

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