Research on Emergency Search and Event Evolutionary Graph Construction in Social Networks

[Purpose] With the rapid development of social networks, the public opinion environment on the Internet is changing rapidly. Nowadays, social networks have become one of the important platforms for internet users to understand current political news and discuss hot news, and the generation and dissemination of emergencies are inseparable from the important channel of social networks. It is necessary to effectively channel public opinion, reduce the malicious spread of users, and resolve the crisis of public opinion when an emergency occurs. [Method] This paper collects the comment data of three emergencies at the national security level under the microblog platform, and uses the natural language processing model to process the data, and constructs the emergency event evolutionary graph and the emergency abstract event evolutionary graph. [Conclusion] The results show that when a major emergency occurs, the severity, details and background of the event attract the most attention from the public, and they are the core elements that constitute the event evolutionary graph. In emergencies involving all aspects of national security, politics and medical care, the relevant departments shall guide a positive and favorable public opinion atmosphere in society and create a harmonious public opinion environment.