基于E-Divisive的网络舆情演化分析

Quantitative Analysis Method for Long-Term Network Public Opinion Events

[目的/意义]现有的网络舆情周期理论的舆情阶段间界定模糊,因此提出舆情阶段划分的定量模型,划分舆情演化阶段。有利于舆情演化的规律深层次挖掘,拓展了舆情周期理论。[方法/过程]该模型通过E-Divisive算法对网络舆情事件演化阶段的划分,提出一种新的分析网络舆情事件演化的研究思路。[结果/结论]最后,以"北京雾霾"事件为例进行实证研究,对该事件的生命周期进行定量研究,总结舆情事件的各阶段演化规律。

[Purpose / Significance] Existing network cycle theory of public ignores the researchabout the public opinion stage dividing,hence this paper builds public opinion phasing quantitative models,and analyzes the spread of internet public opinion. It＇s the evolution of public opinion in favor of deep- level mining and it can extend the public opinion cycle theory. [Method / process]This paper conducts a quantitative research idea based on E- Divisive method to analyze the network pubic events,and puts forward a newresearch idea about the division of the development stage of Internet public opinion stage,taking the haze event on internet as an example to carry through the research idea. [Result / Conclusion]The conclusion describes the rules about the public opinion event,and the study deepens the theory of periodic public opinion,so the paper has signification values in practical aspects.