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An opinion diffusion model with decision-making groups: The influence of the opinion’s acceptability

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  • Cheng, Zhichao
  • Xiong, Yang
  • Xu, Yiwen

Abstract

An opinion dynamic model with decision-making groups was proposed to study the process of adopting new opinions or ideas by individuals. The opinion’s acceptability is introduced to distinguish the general character of different opinions. The simulation results on a free-scale network demonstrate that when two opinions have similar acceptability, the opinion supported by more decision-making groups in the beginning will eventually win the support of more agents, whereas an opinion supported by fewer decision-making groups in the beginning may be supported by the majority at the end only if it has better acceptability, and if the tolerance threshold of the society is higher than a specific value.

Suggested Citation

  • Cheng, Zhichao & Xiong, Yang & Xu, Yiwen, 2016. "An opinion diffusion model with decision-making groups: The influence of the opinion’s acceptability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 429-438.
    • Handle: RePEc:eee:phsmap:v:461:y:2016:i:c:p:429-438
    DOI: 10.1016/j.physa.2016.06.038
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    References listed on IDEAS

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    1. Deng, Lei & Liu, Yun & Xiong, Fei, 2013. "An opinion diffusion model with clustered early adopters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3546-3554.
    2. Fan, Kangqi & Pedrycz, Witold, 2015. "Emergence and spread of extremist opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 87-97.
    3. Nino Boccara, 2008. "Models Of Opinion Formation: Influence Of Opinion Leaders," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 93-109.
    4. Galam, Serge & Jacobs, Frans, 2007. "The role of inflexible minorities in the breaking of democratic opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 366-376.
    5. 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.
    6. 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.
    7. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    8. Tom Cottrell & Barrie R. Nault, 2004. "Product variety and firm survival in the microcomputer software industry," Strategic Management Journal, Wiley Blackwell, vol. 25(10), pages 1005-1025, October.
    9. Kacperski, Krzysztof & Hołyst, Janusz A., 2000. "Phase transitions as a persistent feature of groups with leaders in models of opinion formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 631-643.
    10. Martins, André C.R. & Pereira, Carlos de B. & Vicente, Renato, 2009. "An opinion dynamics model for the diffusion of innovations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3225-3232.
    11. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    12. Çağlar Tuncay, 2007. "Opinion Dynamics Driven By Leaders, Media, Viruses And Worms," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 849-859.
    13. Diemo Urbig, 2003. "Attitude Dynamics with Limited Verbalisation Capabilities," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(1), pages 1-2.
    14. Deng, Lei & Liu, Yun & Zeng, Qing-An, 2012. "How information influences an individual opinion evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6409-6417.
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