摘要
[目的/意义]结合超网络理论对高校网络舆情进行态势感知及传播分析,有助于健全高校舆情治理体系,实现对高校网络舆情的有效引导。[方法/过程]首先,基于超网络理论构建包含社交、时序、情感、话题和观点5层子网的舆情超网络模型;然后,通过超边相似度聚类发现舆情主题,通过超边排序识别关键节点,以此感知舆情态势,并在此基础上挖掘舆情传播路径;最后,以“翟天临事件”为例展开高校网络舆情实证研究。[结果/结论]文章提出的舆情超网络模型能够有效发现更具解释性的舆情主题,从不同视角解读舆情传播过程中的关键节点,从而更好地描述高校网络舆情的传播过程和传播特点,为高校网络舆情研究提供了新思路。
[Purpose/significance]Combined with the super network theory,the situation awareness and dissemination analysis of university network public opinion will help to improve the governance system of university public opinion and realize the effective guidance of university network public opinion.[Method/process]Firstly,based on the super network theory,a super network public opinion model is constructed containing five layers of social,time series,emotional,topical and viewpoint subnetworks.Then,the public opinion topics are discovered through the super edge similarity clustering,and key nodes are identified by super edge ranking,so as to perceive the public opinion situation and then mine the public opinion dissemination path;Finally,take the“Zhai Tianlin Incident”as an example to carry out an empirical study of university network public opinion.[Result/conclusion]The results show that the super public opinion network model proposed in this paper can effectively find more explanatory public opinion topics,interpret the key nodes in the process of public opinion dissemination from different perspectives,better describe the dissemination process and characteristics of university network public opinion,and provide new ideas for the research of university network public opinion.
出处
《情报理论与实践》
北大核心
2023年第8期131-137,164,共8页
Information Studies:Theory & Application
基金
湖南省教育科学“十四五”规划项目“社会网络环境下高校教育舆情监测与引导研究”的成果,项目编号:XJK21BXX004。
关键词
超网络模型
高校网络舆情
态势感知
传播路径
super network model
university network public opinion
situation awareness
dissemination path
