舆论动力学动力学方程中出现的凝结模式

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2024-09-10 DOI:10.1016/j.physd.2024.134356
E. Calzola , G. Dimarco , G. Toscani , M. Zanella
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引用次数: 0

摘要

在这项工作中,我们定义了一类模型,以了解群体规模对意见形成动态的影响,这种现象通常与群体一致性有关。为此,我们引入了一个新的动力学模型,在该模型中,互动频率由动力学密度加权。在准不变体系中,该模型简化为具有非线性漂移的 Kaniadakis-Quarati- 型方程,该方程最初是为空间均质环境中玻色子的动力学而引入的。根据所得到的舆论密度演化的 PDE,我们确定了存在临界质量并引发解爆炸的参数体系。因此,在持有特定观点的个体总密度超过固定临界规模的情况下,该模型能够描述强一致性现象。最后,几个数值实验证明了所引入模型的特点以及相关的共识效应。
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Emergence of condensation patterns in kinetic equations for opinion dynamics

In this work, we define a class of models to understand the impact of population size on opinion formation dynamics, a phenomenon usually related to group conformity. To this end, we introduce a new kinetic model in which the interaction frequency is weighted by the kinetic density. In the quasi-invariant regime, this model reduces to a Kaniadakis–Quarati-type equation with nonlinear drift, originally introduced for the dynamics of bosons in a spatially homogeneous setting. From the obtained PDE for the evolution of the opinion density, we determine the regime of parameters for which a critical mass exists and triggers blow-up of the solution. Therefore, the model is capable of describing strong conformity phenomena in cases where the total density of individuals holding a given opinion exceeds a fixed critical size. In the final part, several numerical experiments demonstrate the features of the introduced class of models and the related consensus effects.

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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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