Analysis Of The Evolution Path Of Network Public Opinion And Risk Early Warning Research Of Major Public Health Events

Since the 20 th National Congress of the Communist Party of China,the Party Central Committee has repeatedly proposed to implement the overall national security outlook,strengthen the construction of network space,and prevent various major risks.With the rapid development and popularization of network technology today,social networks have become an indispensable part of people’s lives.Its unique information interaction characteristics pose a certain degree of threat to the security of network space.In order to deeply understand the path of public opinion evolution of social networks and online public opinion risk early warning,this article conducts related research on the online public opinion evolution path and risk warning of major public health incidents.This article clarifies the connotation of online public opinion risk early warning of major public health events through the research of online public opinion evolution and online public opinion risk warning.This thesis is divided into six chapters,which deeply explores the analysis of online public opinion evolution path analysis and public opinion risk early warning research under major public health incidents.The first chapter is the introduction of the introduction.By introducing the research status of the research background,the path of online public opinion evolution,and the risk warning,it will explain the research significance,research methods and innovation points of this article.The second chapter mainly describes the concepts and characteristics of online public opinion,the connotation and characteristics of online public opinion,the connotation and characteristics of the Internet of public opinion,the theory of the Topsis algorithm theory and the TOPSIS algorithm theory.The third chapter mainly analyzes the map and evolution path of the online public opinion evolution of major public health incidents.By constructing a regular template and syntactic mode,the related incidents in the public opinion incident are extracted,and similar incidents are generalized to achieve the construction of the map and abstract affairs.,To reveal key events in the development of public health events in major public health incidents.Chapter 4 On the basis of sorting out the results of the study of Chapter 3,build a major public health event network public opinion risk warning index system,and use the entropy right method to calculate the weight of the indicator,and use the TOPSIS algorithm evaluation index system to carry out evidence research.Chapter 5 from the perspective of government and public opinion control departments,online media platform operators and online media platform users to propose a major public health event online public opinion risk early warning strategy.Chapter 6 summarizes the research conclusions,pointing out the shortcomings in this study and looking forward to the outlook.At the theoretical level,this article,based on the theory of the map and the abstract map,builds the map of public opinion evolution and abstract affairs of public health incidents;and build a network of public opinion risk early warning indicators for major public health incidents.At the practical level,this article analyzes the path of online public opinion evolution and public opinion risk early warning,and proposes a major public health event online public opinion risk early warning strategy to provide reference and reference for the government and public opinion platforms to deal with and respond to the risk of public opinion to avoid public opinion risks.Social harm and adverse effects that will cause.