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Three-State Opinion Q-Voter Model with Bounded Confidence

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Computational Science – ICCS 2021 (ICCS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12744))

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Abstract

We study the q-voter model with bounded confidence on the complete graph. Agents can be in one of three states. Two types of agents behaviour are investigated: conformity and independence. We analyze whether this system is qualitatively different from a corresponding model without bounded confidence. The key result of this paper is that the system has two phase transitions: one between order-order phases and another between order-disorder phases.

Research is supported by the National Science Center (NCN, Poland) through grant no. 2019/35/B/HS6/02530.

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Author information

Authors and Affiliations

  1. Department of Theoretical Physics, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50–370, Wroclaw, Poland

    Wojciech Radosz & Maciej Doniec

Authors
  1. Wojciech Radosz
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  2. Maciej Doniec
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Corresponding author

Correspondence to Wojciech Radosz .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  3. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  5. University of Amsterdam, Amsterdam, The Netherlands

    Peter M.A. Sloot

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Radosz, W., Doniec, M. (2021). Three-State Opinion Q-Voter Model with Bounded Confidence. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12744. Springer, Cham. https://doi.org/10.1007/978-3-030-77967-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-77967-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77966-5

  • Online ISBN: 978-3-030-77967-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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