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Improved Finite Time in Eliminating Disagreement of Opinion Dynamics via Noise

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  • Yong Ding
  • Lipo Mo

Abstract

We aim to refine the estimation of the finite stopping time when the disagreement in an opinion group is eliminated by a simple but novel noise intervened strategy. It has been proved that, by using this noise intervened control strategy, the divisive opinions would get synchronized in finite time. Moreover, the finite stopping time when resolving the disagreement has been clarified. The estimation of the finite stopping time will effectively reveal which factors and how they determine the consequence of intervention. However, the upper bound for the estimation of the integrable stopping time when noise is oriented has been quite conservative. In this paper, we investigate the finite stopping time of eliminating the disagreement by completely oriented noise and a much more precise formula for the estimation of the finite stopping time is obtained finally via direct calculation.

Suggested Citation

  • Yong Ding & Lipo Mo, 2017. "Improved Finite Time in Eliminating Disagreement of Opinion Dynamics via Noise," Advances in Mathematical Physics, John Wiley & Sons, vol. 2017(1).
  • Handle: RePEc:wly:jnlamp:v:2017:y:2017:i:1:n:1098169
    DOI: 10.1155/2017/1098169
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    References listed on IDEAS

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    1. Santo Fortunato, 2004. "The Krause–Hegselmann Consensus Model With Discrete Opinions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 15(07), pages 1021-1029.
    2. 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.
    3. Miguel Pineda & Raúl Toral & Emilio Hernández-García, 2013. "The noisy Hegselmann-Krause model for opinion dynamics," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(12), pages 1-10, December.
    4. repec:plo:pcbi00:1000959 is not listed on IDEAS
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