跨社交媒体舆情关键节点识别方法及其实证研究OA北大核心CHSSCDCSSCICSTPCD

[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.