基于动力场理论的网络反腐舆情演化与传播仿真研究

The Evolution and Propagation Simulation Model of Network Anti-corruption Public Opinion Based on Dynamic Field Theory

网络反腐已成为现实社会的一大热点,但却鲜有文章进行网络反腐舆情与传播规律研究。本文从舆情演化和传播的角度研究网络反腐,首先通过动力场理论深入分析网民个体参与网络反腐的行为机制并建立影响模型,然后运用Netlogo平台进行仿真模拟,最后用百度指数进一步验证模型结论。研究结果不但揭示了政府行为是如何影响网络反腐舆情的演化结果的,同时揭示了政府何时介入舆情能极大提升人民参与反腐的热情。本文为未来网络反腐研究提供了新方向,亦为舆情研究探索了新领域。

Network Anti- corruption has become a hot spot in the current society. However,there are few articles about the Network Anti- corruption public opinion evolution and propagation rule. This paper research network anti- corruption from the perspective of public opinion evolution and propagation,firstly use the dynamic field theory to analysis the behavior mechanism internet users participate in Network Anti- corruption and establish the simulation model,secondly use Netlogo platform for simulation,and finally further verify the model conclusion according to the Baidu index. The results not only reveal that the government behavior is how to affect the evolution of the Network Anti- corruption public opinion,but also conclude that when government intervene in public opinion to greatly enhance the enthusiasm of the people to participate in the Network Anti- corruption. This paper provides a new direction for the future research of Network Anti- corruption,and also to explore new areas of public opinion research.