复杂网络中的舆情演化机制:传播媒体的外场力作用

Public Opinion Evolution Incomplex Network: the Role of Mass Media

以探索新兴传播媒体环境下的舆情演化机制和规律为研究目的。首先,以伊辛模型为基础,利用媒介研究行业数据构建了由大量节点组成的复杂网络,以此来描述现实世界的舆情演化环境。然后,通过对伊辛模型体系下的格劳伯动力学进行改进,得出了有向、加权的复杂网络舆情演化模型,并运用蒙特卡罗方法,对舆情演化过程进行计算机仿真。实验结果揭示了舆情演化机制和网络发生相变的规律,总结出了一些对舆情管理具有指导意义和实践价值的结论。

The aim of this paper is to investigate the mechanism and common rules of opinion evolution in the environment in the presence of new media. A complex network consists of 585 individuals is introduced to represent the social network based on Ising Model. On this basis, this paper proposed a public opinion evolution model in a weighted and directed complex network using a variation of Glauber Dy-namics. A series of Monto Carlo simulations are performed. The result shows the presence of phase transition in the process of opinion for-mation and conclusions with practical significance have been provided at the end of this paper.