基于群集动力学和演化博弈论的网络舆情疏导模型

互联网已经成为公共舆情传播的主要平台,网络舆情的危机疏导问题直接关系到整个社会的安全和稳定,而对网络舆情的活动进行分析是网络舆情疏导的重要前提,基于网络舆情在产生和发展过程中所呈现的群体性,本文应用群集动力学和演化博弈论的,在研究网络舆情群体流动过程和个体流动过程的基础上,构建了网络舆情疏导模型.通过使用多Agent仿真,应用所提出型,寻求在相关约束下的最佳疏导策略,证明了网络舆情疏导模型的有效性.本文的研究成果为有效解决群体危机环境网络舆情疏导问题提供理论依据.

The Internet public opinion grooming model based on cluster dynamics and evolutionary game theory

The Internet is becoming a spreading platform for the public opinion and the crisis guidance issues of the Internet public opinion directly related to the safety and stability of the whole society. It's important to model the Internet public opinion activity as accurate as possible. Because of the Internet public opinion presents the group characteristics in the emergence and development process, the Internet public opinion groups flow process and individual flow process are studied and the Internet public opinion grooming mathematical model is presented based on the cluster dynamics and evolutionary game theory. By using multi-agent simulation for the proposed model, the validity of the model of the Internet public opinion grooming is proved. Results of this research provide a theoretical model for an effective solution to solve the Internet public opinion group crisis environment.