群体性突发事件中非一致信任水平舆论传播建模与分析  

On modeling and analysis of opinion formation with heterogeneous confidence levels for emergences

作　　者：赵奕奕[1] 寇纲[1] 彭怡[1] 李仕明[1] 

机构地区：[1]电子科技大学经济与管理学院,成都610054

出　　处：《系统工程理论与实践》2012年第5期971-976,共6页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(70901011,70901015,71173028);富士康科技集团--擢才创研计划(11F81210001)

摘　　要：群体性突发事件是影响社会稳定的重要因素,正确认识和理解舆论传播的演化机制,可以建立快速、高效的应急体系和措施,从而保证群体性突发事件的客观舆论导向.针对群体中个体属性的多样性,在Krause有界信任模型基础上提出了非一致有界信任模型,进行了一系列计算机仿真实验.结果表明:当社会网络中个体的信任水平各不相同时,要使社会网络的群体观点达到一致,远比相同信任水平时要难;而且,社会网络中个体的数量与舆论传播的最终观点簇之间存在正相关关系.Emergency is one of key factors affecting social stability.It is very important to investigate and understand the evolutionary mechanism of opinion dynamics.Thus,an objective opinion guidance can be ensured by building a fast and highly efficient emergency response system.In this paper,a new bounded confidence model with heterogeneous confidence levels is established under the framework of Krause model to deal with the diversities of human attributes.Some computer simulations are given to demonstrate that it is more difficult to reach consensus for the collective opinions with heterogeneous confidence levels than that with homogeneous confidence levels.Furthermore,the simulation results show that there is a positive correlation relationship between the total number of agents and the number of final opinion clusters.

关 键 词：突发事件 舆论传播 非一致信任水平 基于agent的建模 

分 类 号：F830[经济管理—金融学]