文章基本信息

标题：Agent-Based Modelling Approach for Multidimensional Opinion Polarization in Collective Behaviour
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作者：Jin Li ; Renbin Xiao
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2017
卷号：20
期号：2
页码：1-23
DOI：10.18564/jasss.3385
出版社：University of Surrey, Department of Sociology
摘要：Opinion polarization in a group is an important phenomenon in collective behaviour that has become increasingly frequent during periods of social transition. In general, an opinion includes several dimensions in reality. By combining social judgement theory with the multi-agent model, we propose a multidimensional opinion evolution model for studying the dynamics of opinion polarization. Compared with previous models, a major contribution is that the opinion of the agent is extended to multiple dimensions, and the BA network is used as a model of real social networks. The results demonstrate that polarization is influenced by the average degree of the network, and the polarization process is affected by the parameters of the assimilation effect and contrast effect. Moreover, the evolution processes in different dimensions of opinion show correlation under certain specific conditions, and the discontinuous equilibrium phenomenon is observed in multidimensional opinion evolution in subsequent experiments.
关键词：Social Computing; Collective Behaviour; Agent-Based Model; Multidimensional Opinion Polarization; Social Judgement Theory; Multi-Agent System