Microcanonical Monte Carlo simulation of opinion dynamics under the influence of mass media

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-05-15 Epub Date: 2025-03-09 DOI:10.1016/j.physa.2025.130516
Yasmín Navarrete , Carlos Femenías , Sergio Davis , Claudia Loyola
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Abstract

The formation of large social groups having uniform opinions influenced by mass media is currently an important topic in the social sciences. In this work, we explore and extend an off-lattice, two-dimensional Potts model (Eur. Phys. J. B 87, 78 [2014]) that describes the formation and dynamics of opinions in social groups according to individual consequence and agreement between neighbors. This model was originally obtained by the application of the maximum entropy principle, a general method in statistical inference, and using the same methodology we have now included the influence of mass media as a constant external field. By means of microcanonical Monte Carlo Metropolis simulations on a setup with two regions with opposing external influences, we have shown the presence of metastable states associated to the formation of clusters aligned with the locally imposed opinion. Our results suggest that, for some values of the total energy of the system, only a single cluster with a uniform opinion survives, thus the presence of two large, opposing groups is not a thermodynamically stable configuration.
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大众传媒影响下舆论动态的微规范蒙特卡罗模拟
在大众传媒的影响下形成意见统一的大型社会群体是当前社会科学的一个重要课题。在这项工作中,我们探索和扩展了一个离格的二维波茨模型(Eur。理论物理。J. B, 87, 78[2014]),描述了根据个体后果和邻居之间的协议,社会群体中意见的形成和动态。这个模型最初是通过应用最大熵原理获得的,这是统计推断中的一种通用方法,我们现在使用相同的方法将大众媒体的影响作为恒定的外部场。通过在两个具有相反外部影响的区域设置上的微规范蒙特卡罗大都市模拟,我们已经显示了与与局部强加意见一致的簇的形成相关的亚稳态的存在。我们的结果表明,对于系统总能量的某些值,只有一个具有统一观点的单个星团存活下来,因此两个大的,相反的星团的存在不是一个热力学稳定的构型。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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