Study On The Coordinative Evolution Of Netizen Behaviors In The Evolution Of Public Opinion

Recently, the Internet has developed into a major distribution center for public opinion and has become one of the primary carriers that reflect public opinion. The synergistic effect between netizens behavior helps lead public opinions to a certain extent and play a very important role in the harmony and development of the whole society. The coordinative evolution of netizen behaviors in the evolution of public opinion are embodied in the synergistic effect between the nearest and the next-nearest neighbor in opinion evolution, the synergistic effect under online to offline interaction in topic propagation, the synergistic effect between the behaviors of opinion evolution and topic propagation.In order to investigate the synergistic effect of the nearest and the next-nearest neighbor in the process of the opinion evolution, proposes an evolution model of the microblog public opinion viewpoint considering influence of the next-nearest neighbors. Use the directed BA scale-free network to simulate the network formed by users’ attention relationship in microblog, and design the iterative rule, in which the nearest and the next-nearest neighbors influence the microblog view evolution in combination. Then simulate the view evolution of microblog public opinion with or without the influence of the next-nearest neighbors, and the view evolution under different review probabilities and different forwarding probabilities. Secondly, topics can spread through dual channels of the online internet and the offline social network simultaneously. In order to study the synergistic effect under online to offline interaction, the thesis proposes the public opinion propagation model based on coupled networks under online and offline interaction. The model uses the Price and WS network to simulate the online and offline network. The experiment compares the communication processes of the SIR₂O model with the single layer network model, and analyzes the impacts of the upload rate, download rate and their joint action on the communication processes by simulation. Finally, in order to study the synergistic effect between the behaviors of opinion evolution and topic propagation, the thesis analyzes the behaviors of Weibo user, the impacts of these behaviors on the opinion evolution and topic propagation. Use the Price network to simulate the microblogging network, and build the coordinative evolution model of the opinion evolution and topic propagation. Then, analyze the impacts of the communication frequency and the spread source on public opinion evolution by MATLAB emulation.