Modeling and Simulation of Network Public Opinion Propagation Model Based on Interest Matching in Social Network

摘要

By using a variety of explicit or implicit relationships in social networks, we can reproduce the real propagation process of network public opinion in the social network from the perspective of complex networks. The relation of users and the data of microblog content in Sina microblog was obtained by programming and web crawler, multiple relationships between microblog users were discovered by using big data analysis. On the basis of this, a semi-supervised user interest matching prediction algorithm was proposed in this paper. According to the individual state division method of compartment model, network public opinion propagation model is constructed based on user interest matching through state transition analysis and inference of state transition probability. The results show that the model can well describe the law of public opinion propagation in social networks, and truly reflect the propagation of network public opinion in the Internet.