大数据环境下网络舆情信息交互模型研究

目的/意义]面向大数据研究多个网络传播平台之间网络舆情信息交互模型，能够准确把握大数据环境下网络舆情演化趋势以及网络信息在多个平台之间的传播规律，为政府治理网络舆情提供参考依据。方法/过程]定性分析大数据环境下网络舆情信息交互机理，通过定义交互系数，基于微分方程理论构建网络舆情信息交互模型，并应用差分回归法对各个媒体平台的网络舆情信息交互趋势开展预测。结论/结果]经过理论建模和实证分析得出本文构建的信息交互模型及趋势预测方法是可行的，以上理论研究可为政府准确把握大数据环境下网络舆情演化规律，制定网络舆情治理对策提供参考依据。

The Research on Information Interaction Model of Network Public Opinion under Big Data Environment

Purpose/Significance]Facing big data to research the information interaction model of network public opinion between multiple network communication platforms,this will accurately grasp the evolution trend of network public opinion and the propagation regularity of network information between multiple platforms under big data environment,and then provide references of network public opinion management for government.Method/Process]Through the qualitative analysis of the information interaction mechanism of network public opinion under big data environment,defined the interaction coefficient,established the information interaction model based on the theory of differential equation,and used differential recursive scheme to predict network public opinion information interaction trend on multiple platforms.Result/Conclusion]Through theoretical modeling and empirical analysis,confirmed the feasibility of information interaction model and trend prediction method in this paper.The above theory research will contribute to accurately grasp network public opinion evolution under big data environment,and provided references of network public opinion countermeasures for government.