选前民意调查的动态民意形成模型

Bertram Düring, Oliver Wright
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引用次数: 6

摘要

受最近基于模型的选前民意调查成功的启发,我们提出了一个民意形成的动态模型,其中包括选民人口统计学和社会经济因素,如年龄、性别、种族、教育水平、收入和其他可测量因素,如以前选举或公投中的行为,作为民意形成动态的关键驱动因素。该模型基于Toscani的动态意见形成模型(Toscani G. 2006)。Commun。数学。科学学报,4,481-496 .)和d ring等人的领导-追随者模型(d ring B. et al. 2009)。Boltzmann和Fokker-Planck方程对强领导存在下意见形成的建模。程序R. Soc(A 465, 3687-3708 .),并导致耦合boltzmann型方程和相关的近似fokker - planck型系统的系统。使用英国大选数据的数值示例显示了不同人口统计对意见形成过程和选举结果的影响。本文是“社会和经济的动态交换模型”主题的一部分。
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On a kinetic opinion formation model for pre-election polling
Motivated by recent successes in model-based pre-election polling, we propose a kinetic model for opinion formation which includes voter demographics and socio-economic factors like age, sex, ethnicity, education level, income and other measurable factors like behaviour in previous elections or referenda as a key driver in the opinion formation dynamics. The model is based on Toscani’s kinetic opinion formation model (Toscani G. 2006 Kinetic models of opinion formation. Commun. Math. Sci. 4, 481–496.) and the leader–follower model of Düring et al. (Düring B. et al. 2009 Boltzmann and Fokker–Planck equations modelling opinion formation in the presence of strong leaders. Proc. R. Soc. A 465, 3687–3708.), and leads to a system of coupled Boltzmann-type equations and associated, approximate Fokker–Planck-type systems. Numerical examples using data from general elections in the UK show the effect different demographics have on the opinion formation process and the outcome of elections. This article is part of the theme issue ‘Kinetic exchange models of societies and economies’.
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