Visualization and Analysis of Users' Online Behavior in Campus Network

Abstract

While the network provides convenience for students, it also allows students with poor self-control to get caught up in it. This paper uses the network log of college students' campus network as the data source, analyzes the online behavior log through user preference analysis, cluster analysis and correlation analysis, studies the correlation between academic performance and online behavior, and predicts academic performance, and analyzes the results. Visualize the display. In order to give users a better visual experience, this paper designs a user online behavior analysis system, which can analyze and reason the user's online behavior data, provide a scientific management basis for teachers to standardize and guide students to learn online behavior, and improve the students. Provide support and guidance on learning quality and efficiency.