[01] Wenming Xia, School of Information Engineering, Yancheng Teachers University, Yancheng, China. [02] Jiacheng Ni, School of Information Engineering, Yancheng Teachers University, Yancheng, China. [03] Fengrui Zhang, School of Information Engineering, Yancheng Teachers University, Yancheng, China. [04] Fan Yang, School of Information Engineering, Yancheng Teachers University, Yancheng, China. [05] Weixuan Yan, School of Information Engineering, Yancheng Teachers University, Yancheng, China. [06] Hao Yang, School of Information Engineering, Yancheng Teachers University, Yancheng, China; Jiangsu Provincial Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng, China.

This paper focuses to study the relationship network of different dimensions of students’ individual data in school through social network theory, and conduct real-time event trajectory tracking. It takes the correlation degree of college students in school as the research object, and takes the association relationship of different dimensions of data of individual students in school as the target, such as the situation of card swiping in different places, freshmen questionnaire survey, mental health consultation, poverty subsidy, scholarship, achievement, and students' origin, and constructs the close relationship network between them by using social network theory. This paper studies the modeling method, verification method and feature analysis of the closely related network. Through the construction of close relationship network, it provides a more comprehensive and in-depth research dimension for students' intimate relationship, and is conducive to more targeted development of questionnaires and scales on mental health and personality formation, so as to better serve local colleges and universities in-depth understanding and analysis of college students' learning and physical and mental health. According to our feature analysis of the tight relationship network, this paper proposes the modeling method and verification method which provides effective theoretical and technical support for the research on the close relationship formed by college students in school, and provides relevant questionnaires research and scale development provide strong data support.

Social Network, Tight Relationship Network, College Students Relationship

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