WeChat is one of the main applications of the modern Internet, but there are few studies on the characteristics analysis and modeling of its network traffic. The study takes WeChat traffic as the research object and finds that it has self-similarity and burstiness. In view of these two characteristics, we use the linear fractional stable noise model to characterize WeChat traffic and carry out the parameter estimation and the effect analysis of the model. The research results provide a basis for subsequent network performance analysis and traffic monitoring.