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Range of interaction in an opinion evolution model of ideological self-positioning: Contagion, hesitance and polarization

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  • Gimenez, M. Cecilia
  • Paz García, Ana Pamela
  • Burgos Paci, Maxi A.
  • Reinaudi, Luis

Abstract

The evolution of public opinion using tools and concepts borrowed from Statistical Physics is an emerging area within the field of Sociophysics. In the present paper, a Statistical Physics model was developed to study the evolution of the ideological self-positioning of an ensemble of agents. The model consists of an array of L components, each one of which represents the ideology of an agent. The proposed mechanism is based on the “voter model”, in which one agent can adopt the opinion of another one if the difference of their opinions lies within a certain range. The existence of “undecided” agents (i.e. agents with no definite opinion) was implemented in the model. The possibility of radicalization of an agent’s opinion upon interaction with another one was also implemented. The results of our simulations are compared to statistical data taken from the Latinobarómetro databank for the cases of Argentina, Chile, Brazil and Uruguay in the last decade. Among other results, the effect of taking into account the undecided agents is the formation of a single peak at the middle of the ideological spectrum (which corresponds to a centrist ideological position), in agreement with the real cases studied.

Suggested Citation

  • Gimenez, M. Cecilia & Paz García, Ana Pamela & Burgos Paci, Maxi A. & Reinaudi, Luis, 2016. "Range of interaction in an opinion evolution model of ideological self-positioning: Contagion, hesitance and polarization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 320-330.
    • Handle: RePEc:eee:phsmap:v:447:y:2016:i:c:p:320-330
    DOI: 10.1016/j.physa.2015.12.020
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    References listed on IDEAS

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    2. Fan Zou & Yupeng Li & Jiahuan Huang, 2022. "Group interaction and evolution of customer reviews based on opinion dynamics towards product redesign," Electronic Commerce Research, Springer, vol. 22(4), pages 1131-1151, December.

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