现代情报2024，Vol.44Issue(9)：16-30,15.DOI:10.3969/j.issn.1008-0821.2024.09.002
跨社交媒体舆情关键节点识别方法及其实证研究
Methodology and Empirical Research to Identify Key Nodes of Public Opinion Across Social Media
摘要
Abstract
[Purpose/Significance]Combining the theory of super network to identify key nodes in cross-social media public opinion dissemination has practical implications for relevant departments to regulate online public opinion and ensure network information security.[Method/Process]The research selected specific online public opinion events and used the same user algorithm across social media to identify information users participating in cross-social media public opinion dis-semination.Based on super network theory,various subnets in cross-social media public opinion communication were mod-elled,and methods such as natural language processing,topic mining and sentiment analysis were integrated to explore key nodes in the process of cross-social media public opinion communication.[Result/Conclusion]Research found that the cross-social media public opinion key node identification method proposed in this study can identify and interpret key nodes in the process of cross-social media public opinion dissemination from different perspectives,thereby better describing the dissemination process and characteristics of cross-social media public opinion,and providing new research methods and i-deas for the study of cross-social media public opinion dissemination.关键词
超网络/跨社交媒体/网络舆情/关键节点/信息传播Key words
super network/cross-social media/public opinion/key nodes/information dissemination分类
社会科学引用本文复制引用
孔婧媛,毕达天,杨阳,王璐,张雪..跨社交媒体舆情关键节点识别方法及其实证研究[J].现代情报,2024,44(9):16-30,15.基金项目
国家社会科学基金项目"基于用户跨社交媒体的信息行为偏好特征挖掘与推荐研究"(项目编号:21BTQ059). （项目编号:21BTQ059）
