User Information Interaction of New Media Based on Network Communication Analysis

In the digital age, the new media platform has become the main place for young and adolescent users to spread information and interact, which has a far-reaching impact on ideological and political education in colleges and universities. This study uses the method of network communication analysis, combined with empirical research and social network analysis, to identify the patterns and trends of user interaction by collecting and analyzing user behavior data on new media platforms, including comments, likes, sharing and emotional tendencies. Quantitative analysis is carried out by SPSS software, and network diagram is constructed by UCINET software, which analyzes the characteristics of network structure and identifies key users and influential nodes. Experiments show that after the implementation of the optimization strategy, the click-through rate and retention rate of users' pages are significantly improved. Before the implementation of the optimization strategy, the average user retention rate was 43.44%, which increased to 65.48% after implementation. This study not only solves the problem of insufficient exploration of the influencing factors of users' willingness to interact in the existing research, but also deepens the research on the optimization strategy of information interaction mode. The research results provide useful insights for promoting the sharing and dissemination of social media health information and promoting the popularization and development of health communication in the new media era.