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Entropy production on cooperative opinion dynamics

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  • Oliveira, Igor V.G.
  • Wang, Chao
  • Dong, Gaogao
  • Du, Ruijin
  • Fiore, Carlos E.
  • Vilela, André L.M.
  • Stanley, H. Eugene

Abstract

As one of the most widespread social dynamics, cooperative behavior is among the most fascinating collective phenomena. Several animal species, from social insects to human beings, feature social groups altruistically working for a common benefit. This collaborative conduct pervades the actions and opinions of individuals, yielding strategic decision-making between political, religious, ethnic, and economic social puzzles. Here, we explore how cooperative behavior phenomena impact collective opinion dynamics and entropy generation in social groups. We select a random fraction f of community members as collaborative individuals and model the opinion dynamics using a social temperature parameter q that functions as a social anxiety noise. With probability q, regular individuals oppose their companions about a social decision, assuming group dissent. Collaborative agents experience a reduced effective social noise μq, where 0<μ<1 is the social anxiety noise sensibility parameter that enhances social validation. We perform numerical simulations and mean-field analysis and find the system undergoes nonequilibrium order–disorder phase transitions with expressive social entropy production. Our results highlight the effects of a social anxiety attenuation level in improving group consensus and the emergence of cooperative dynamics as a natural maximization of entropy production in noisy social groups, thus inducing exuberant collective phenomena in complex systems.

Suggested Citation

  • Oliveira, Igor V.G. & Wang, Chao & Dong, Gaogao & Du, Ruijin & Fiore, Carlos E. & Vilela, André L.M. & Stanley, H. Eugene, 2024. "Entropy production on cooperative opinion dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924002467
    DOI: 10.1016/j.chaos.2024.114694
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    References listed on IDEAS

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    1. Sznajd-Weron, Katarzyna & Sznajd, Józef, 2005. "Who is left, who is right?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 593-604.
    2. Valerio Capraro, 2013. "A Model of Human Cooperation in Social Dilemmas," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-6, August.
    3. Vilela, André L.M. & Wang, Chao & Nelson, Kenric P. & Stanley, H. Eugene, 2019. "Majority-vote model for financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 762-770.
    4. Sznajd-Weron, K. & Weron, R., 2003. "How effective is advertising in duopoly markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 437-444.
    5. Galam, Serge, 1997. "Rational group decision making: A random field Ising model at T = 0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 238(1), pages 66-80.
    6. Mateus F. B. Granha & Andr'e L. M. Vilela & Chao Wang & Kenric P. Nelson & H. Eugene Stanley, 2022. "Opinion Dynamics in Financial Markets via Random Networks," Papers 2201.07214, arXiv.org.
    7. Kononovicius, Aleksejus, 2021. "Supportive interactions in the noisy voter model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    8. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
    9. Lu, Xi & Mo, Hongming & Deng, Yong, 2015. "An evidential opinion dynamics model based on heterogeneous social influential power," Chaos, Solitons & Fractals, Elsevier, vol. 73(C), pages 98-107.
    10. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    11. Serge Galam, 2008. "Sociophysics: A Review Of Galam Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 409-440.
    12. Ball, Philip, 2002. "The physical modelling of society: a historical perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 1-14.
    13. Zubillaga, Bernardo J. & Vilela, André L.M. & Wang, Chao & Nelson, Kenric P. & Stanley, H. Eugene, 2022. "A three-state opinion formation model for financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    14. Galam, Serge & Zucker, Jean-Daniel, 2000. "From individual choice to group decision-making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 644-659.
    15. Encinas, J.M. & Chen, Hanshuang & de Oliveira, Marcelo M. & Fiore, Carlos E., 2019. "Majority vote model with ancillary noise in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 563-570.
    16. Quanbo Zha & Gang Kou & Hengjie Zhang & Haiming Liang & Xia Chen & Cong-Cong Li & Yucheng Dong, 2020. "Opinion dynamics in finance and business: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-22, December.
    17. Vilela, André L.M. & Pereira, Luiz Felipe C. & Dias, Laercio & Stanley, H. Eugene & da Silva, Luciano R., 2021. "Majority-vote model with limited visibility: An investigation into filter bubbles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    18. Katarzyna Sznajd-Weron & Janusz Szwabiński & Rafał Weron, 2014. "Is the Person-Situation Debate Important for Agent-Based Modeling and Vice-Versa?," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-7, November.
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