社会系统中舆情动力学的统计物理研究  

Statistical Physics of Opinion Formation in Social System

作　　者：郭龙[1] 李炜[2,3] 蔡勖[2,3] 

机构地区：[1]中国地质大学(武汉)数学与物理学院,武汉430074 [2]华中师范大学粒子物理研究所,武汉430079 [3]华中师范大学复杂科学中心,武汉430079

出　　处：《上海理工大学学报》2012年第3期221-227,共7页Journal of University of Shanghai For Science and Technology

基　　金：国家自然科学基金资助项目(11147123);中央高校基本科研业务费专项资金资助项目(中国地质大学(武汉))

摘　　要：近年来,许多物理学家开始关注利用统计物理思想和方法来研究社会系统中群体行为的涌现现象,例如疾病的雪崩、舆情的传播以及同步现象.实证研究表明:真实社会系统具有其特有的性质,例如小世界特性和节点度分布的无标度特性等.一个显而易见的问题:这些特性如何影响社会系统中群体行为的涌现.本文关注复杂网络拓扑结构对舆情传播行为的影响,并扼要介绍了社会系统中3个著名的舆情演化动力学模型及其研究现状,旨在为初学者提供一定的帮助.Recently, the collective phenomena emerging from the interactions of individuals in social systems, such as the avalanches of epidemic, the formation and synchronization of opinion, has attracted an increasing interest of physicists. Many empirical works show that social systems share some universal characteristics such as the small-world effect and the power scaling degree distribution. An obvious question is how those features affect the collective phenomena in social systems. Here, the opinion formation on complex networks was focused on and previous investigations on the three famous opinion models were reviewed.

关 键 词：社会系统 舆情模型 复杂网络 

分 类 号：N94[自然科学总论—系统科学]