Research On The Derivative Mechanism Of Network Public Opinion

In recent years, with the development of information technology, public opinion under the Internet environment has been widely studied. Scholars have made fruitful research from different perspectives, including the definition, evolution, analysis of the concept of public opinion, and the content of public opinion early warning and forecasting. However, in view of the existing literature, the study of network public opinion is usually regarded as the development process of a single event, which means that there is no systematic and comprehensive understanding of the relationship between the initial public opinion and the derived public opinion.Based on this, this paper focuses on the derivation of the initial network public opinion, and the chain structure of the derived public opinion. In the process of research, through the basis theoretical research on the network public opinion, and understood the basic idea of the emergence of hot spots, and combined the results of the research on the event chain structure analysis, this paper analyzes the hot public opinion events in the network environment, and the structure model of different types of network public opinion is constructed, and the probability of nodes in each model is given. Through the analysis of the actual data collection and analysis of public opinion, it is mainly to observe whether the derivative effect of public opinion event is related to the structure type and the derived chain path. The results show that the model of the network public opinion derived chain structure model successfully predicts the structure of the initial public opinion and the whole path of the derivation.This paper extended the research of the evolution of network public opinion, and it concerns about the subsequent derivative chain effect of the initial public opinion, and the research results have certain guiding significance to the decision-making problem in real life.