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基于VAR-SSM模型的突发事件舆情圈层扩散内生影响研究
引用本文:阳长征.基于VAR-SSM模型的突发事件舆情圈层扩散内生影响研究[J].现代情报,2021,40(12):36.
作者姓名:阳长征
作者单位:西安交通大学新闻与新媒体学院, 陕西 西安 710049
基金项目:中国博士后科学基金第13批特别资助项目"基于情感传播的突发事件网络舆论偏差及弥合机制研究"(项目编号:2020T130521);中国博士后科学基金第65批面上资助项目"网络突发事件公众认知偏差及引导机制"(项目编号:2019M653680)。
摘    要:目的/意义] 为了探索位势梯度、情感共轭与圈层扩散之间动态影响机制,对网络空间中的信息进行分类和定级,实现危机信息的差异化监控与治理。方法/过程] 本文采用向量自回归、状态空间模型及时间序列模型对位势梯度、情感共轭及圈层扩散之间关系进行分析。结果/结论] 研究发现:1)位势梯度及情感共轭的每次冲击对圈层扩散产生滞后性影响,在整个过程中呈现右偏态分布特征。2)位势梯度及情感共轭对圈层扩散波动的贡献率均较大。3)位势梯度与情感共轭对圈层扩散的边际影响变化呈倒U形抛物线特征,且均较大。4)位势梯度、情感共轭与圈层扩散之间的相互影响效应在不同人口统计学群体间存在差异。

关 键 词:圈层扩散  位势梯度  情感共轭  突发事件  内生影响  

Research on Endogenous Influence of Layered Diffusion of Public Opinion in Emergency Events Based on VAR-SSM
Authors:Yang Changzheng
Institution:School of Journalism & New Media, Xi'an Jiaotong University, Xi'an 710049, China
Abstract:Purpose/Significance] In order to seek for the endogenous influence of potential gradient and emotional conjugation on layered diffusion of public opinion,monitor and govern crisis information,and enhance the intention of sharing positive information.Method/Process] The paper used VAR model,panel data model,and state space model to analyze the relationship between potential gradient,emotional conjugation and layered diffusion.Result/Conclusion] The research found that(1)The impact of the potential gradient and emotional conjugation was not quickly transmitted to the layered diffusion,and presents a right skew distribution characteristic throughout the process.(2)The effect of potential gradient and the emotional conjugate was greater.(3)The change of the marginal influence of potential gradient and emotional conjugation on the layered diffusion showed an inverted U-shaped parabola,and the corresponding marginal influence effects were all relatively large.(4)The interaction effects between potential gradient,emotional conjugation,and layered diffusion were different among different demographic groups.
Keywords:layered diffusion  potential gradient  emotional conjugation  emergencies events  endogenous influence  
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