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An energy-like indicator to assess opinion resilience

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  • Mathias, Jean-Denis
  • Huet, Sylvie
  • Deffuant, Guillaume

Abstract

Using the bounded-confidence model, with fixed uncertainties and extremists, we investigate how resilient the moderate mean opinion of a population is to the arrival in it of a new group of agents, when the energy of the opinion of this group (extremeness × group size) is varied. We say moderate mean opinion is resilient when, even though it may become temporarily more extreme after the arrival of the new agents, it later recovers its moderate value. We show that such resilience is displayed up to a threshold value of the equivalent energy of the group. We also show that when the agent-based model spontaneously converges to a single extreme, then this energy threshold is nil.

Suggested Citation

  • Mathias, Jean-Denis & Huet, Sylvie & Deffuant, Guillaume, 2017. "An energy-like indicator to assess opinion resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 501-510.
    • Handle: RePEc:eee:phsmap:v:473:y:2017:i:c:p:501-510
    DOI: 10.1016/j.physa.2016.12.035
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    References listed on IDEAS

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    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. Guillaume Deffuant & Frederic Amblard & Gérard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-1.
    3. Rainer Hegselmann & Stefan König & Sascha Kurz & Christoph Niemann & Jörg Rambau, 2015. "Optimal Opinion Control: The Campaign Problem," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(3), pages 1-18.
    4. Jean-Denis Mathias & Sylvie Huet & Guillaume Deffuant, 2016. "Bounded Confidence Model with Fixed Uncertainties and Extremists: The Opinions Can Keep Fluctuating Indefinitely," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-6.
    5. Tianjun Fu & Ahmed Abbasi & Hsinchun Chen, 2010. "A focused crawler for Dark Web forums," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(6), pages 1213-1231, June.
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    Cited by:

    1. Sylvie Huet & Jean-Denis Mathias, 2018. "Few Self-Involved Agents Among Bounded Confidence Agents Can Change Norms," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-27, September.

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