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Neighborhood models of minority opinion spreading


  • C. J. Tessone
  • R. Toral


We introduce neighborhood models that account for local spatial effects in Galam's model [1] of minority opinion spreading. This model describes the spread of a minority opinion, incorporating absic mechanisms of social inertia, resulting in democratic rejection of social reforms initially favored by a majority. For systems with a number of agents N, the time to reach consensus is shown to scale with log(N) in Galam's model, while it grows linearly with N in the new neighborhood models. The threshold value of the initial concentration of minority supporters for the defeat of the initial majority, which is independent of N in Galam's model, goes to zero with growing number of agents in the neighborhood models. We show that this is a consequence of the existence of a critical size for the growth of a local domain of majority supporters

Suggested Citation

  • C. J. Tessone & R. Toral, 2004. "Neighborhood models of minority opinion spreading," Computing in Economics and Finance 2004 206, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:206

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    Cited by:

    1. Fang Wu & Bernardo A. Huberman, 2004. "Social Structure and Opinion Formation," Computational Economics 0407002, EconWPA.
    2. Galam, Serge, 2010. "Public debates driven by incomplete scientific data: The cases of evolution theory, global warming and H1N1 pandemic influenza," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3619-3631.
    3. repec:eee:apmaco:v:289:y:2016:i:c:p:388-395 is not listed on IDEAS
    4. Serge Galam, 2007. "From 2000 Bush–Gore to 2006 Italian elections: voting at fifty-fifty and the contrarian effect," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(4), pages 579-589, August.
    5. Galam, Serge, 2011. "Collective beliefs versus individual inflexibility: The unavoidable biases of a public debate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(17), pages 3036-3054.
    6. Balankin, Alexander S. & Martínez Cruz, Miguel Ángel & Martínez, Alfredo Trejo, 2011. "Effect of initial concentration and spatial heterogeneity of active agent distribution on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3876-3887.
    7. Pawel Sobkowicz, 2009. "Modelling Opinion Formation with Physics Tools: Call for Closer Link with Reality," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-11.
    8. Serge Galam, 2016. "Stubbornness as an unfortunate key to win a public debate: an illustration from sociophysics," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 15(1), pages 117-130, June.

    More about this item


    Agent-based Models; Dynamics of social systems.;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games


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