Multi-level opinion dynamics under bounded confidence.
Multi-level opinion dynamics under bounded confidence.
复制标题
有限置信度下的多层次意见动态
DOI：
10.1371/journal.pone.0043507
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Shi Y
中科院分区：
文献类型：
--
作者：
Kou G;Zhao Y;Peng Y;Shi Y
舆论动力学关注的是一个社会群体中的舆论演变。最近，Deffuant和Krause等人提出了一些有界置信度下的连续意见动力学模型。在文献中，代理人通常被假设具有相同的置信度水平。针对一组具有不同置信度的智能体，提出了一种扩展模型。首先，引入社会分化理论，将社会群体划分为不同置信度的意见亚群。其次，在有界置信度框架下，构建了多层次异质意见形成模型。最后，对群体意见的演化进行了计算机模拟，重点研究了三个关键因素：异质主体的比例、初始意见和群体规模。仿真结果表明，当群体规模和初始意见一定时，最终意见的数量取决于封闭主体的比例；初始意见越接近，最终意见越容易收敛；最终意见的数量可以近似地用群体规模的线性递增函数来描述，增长率是封闭主体的比例。
Opinion dynamics focuses on the opinion evolution in a social community. Recently, some models of continuous opinion dynamics under bounded confidence were proposed by Deffuant and Krause, et al. In the literature, agents were generally assumed to have a homogeneous confidence level. This paper proposes an extended model for a group of agents with heterogeneous confidence levels. First, a social differentiation theory is introduced and a social group is divided into opinion subgroups with distinct confidence levels. Second, a multi-level heterogeneous opinion formation model is formulated under the framework of bounded confidence. Finally, computer simulations are conducted to study the collective opinion evolution, focusing on three key factors: the fractions of heterogeneous agents, the initial opinions, and the group size. The simulation results demonstrate that the number of final opinions depends on the fraction of close-minded agents when the group size and the initial opinions are fixed; the final opinions converge more easily when the initial opinions are closer; and the number of final opinions can be approximately modeled by a linear increasing function of the group size and the increasing rate is the fraction of close-minded agents.
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