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.
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