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Adapted Deffuant–Weisbuch model with implicit and explicit opinions

Author

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  • Luo, Yun
  • Li, Yuke
  • Sun, Chudi
  • Cheng, Chun

Abstract

It is noted in the psychology literature that a discrepancy may exist between individuals’ implicit opinions and their explicit opinions (or beliefs) on a matter due to political correctness or peer pressures. This study proposes an adaptation of the Deffuant–Weisbuch model that incorporates both implicit and explicit opinions to investigate the evolution of opinions in a population. In our proposed model, we also consider the scenario where an opinion leader exists. We present a theoretical analysis of opinion convergence and consensus in our proposed model and prove a result on the occurrence of “strong diversity” in opinions. We further show that with the existence of an opinion leader, the model will predict a convergence to consensus. Finally, we show the emergence of a strong diversity of opinions in the population for model-based networks and square networks using Monte Carlo simulations.

Suggested Citation

  • Luo, Yun & Li, Yuke & Sun, Chudi & Cheng, Chun, 2022. "Adapted Deffuant–Weisbuch model with implicit and explicit opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    • Handle: RePEc:eee:phsmap:v:596:y:2022:i:c:s0378437122001339
    DOI: 10.1016/j.physa.2022.127095
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    References listed on IDEAS

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    1. Cheng, Chun & Luo, Yun & Yu, Changbin, 2020. "Dynamic mechanism of social bots interfering with public opinion in network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    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. Lorenz, Jan, 2005. "A stabilization theorem for dynamics of continuous opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 217-223.
    4. Nicole L. Waters & Valerie P. Hans, 2009. "A Jury of One: Opinion Formation, Conformity, and Dissent on Juries," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 6(3), pages 513-540, September.
    5. Guillaume Deffuant & David Neau & Frederic Amblard & Gérard Weisbuch, 2000. "Mixing beliefs among interacting agents," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 3(01n04), pages 87-98.
    6. Andreas Flache & Michael Mäs & Thomas Feliciani & Edmund Chattoe-Brown & Guillaume Deffuant & Sylvie Huet & Jan Lorenz, 2017. "Models of Social Influence: Towards the Next Frontiers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-2.
    7. Chung-Yuan Huang & Tzai-Hung Wen, 2014. "A Novel Private Attitude and Public Opinion Dynamics Model for Simulating Pluralistic Ignorance and Minority Influence," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-8.
    8. Klaus Abbink & Lata Gangadharan & Toby Handfield & John Thrasher, 2017. "Peer punishment promotes enforcement of bad social norms," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
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    Cited by:

    1. Zhu, Jiefan & Yao, Yiping & Tang, Wenjie & Zhang, Haoming, 2022. "An agent-based model of opinion dynamics with attitude-hiding behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    2. Zhang, Yaozeng & Ma, Jing & Fang, Fanshu, 2024. "How social bots can influence public opinion more effectively: Right connection strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Xu, Yuxin & Gao, Fei, 2024. "A novel higher-order Deffuant–Weisbuch networks model incorporating the Susceptible Infected Recovered framework," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    4. Shen, Han & Tu, Lilan & Wang, Xianjia, 2024. "The influence of emotional tendency on the dissemination and evolution of opinions in two-layer social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    5. Huang, Changwei & Bian, Huanyu & Han, Wenchen, 2024. "Breaking the symmetry neutralizes the extremization under the repulsion and higher order interactions," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    6. Ding, Haixin & Xie, Li, 2024. "The applicability of positive information in negative opinion management: An attitude-laden communication perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).

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