中文摘要：

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.

英文摘要：

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.