Population Behavior Analysis of Chinese University Students via Digital Campus Cards

• Published in: 2015 IEEE International Conference on Data Mining Workshop (ICDMW) pp. 72 - 77
• Main Authors: Fan, Shilin, Li, Ping, Liu, Ting, Chen, Yan
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01-11-2015
• Subjects: Artificial intelligence; Campus Behavior Analysis; Campus Card; Cards; Chinese University; Computer science; Conferences; Cultivation; Data mining; Digital; Electronic mail; Entropy; Libraries; Networks; Petroleum; Social networks; Students; Study Partner Network; Universities
• ISSN: 2375-9259
• DOI: 10.1109/ICDMW.2015.45

The analysis of students' behavior can provide an effective reference for campus construction, as well as the cultivation and management of students' life. In this work, based on the information collected from the digital campus card, we study the correlation between book borrowing behavior and academic achievements, as well as the consuming capability distribution and campus movement trajectory from two different departments in a Chinese university. Specifically, we present a network based method to explore the relationship between the achievement of a student and his study partners. We quantify the diversity of the social circle in terms of students' Study Partner Network by defining a structure entropy. Our findings show that the study buddies of the top students are more diverse in the achievements and students prefer to make study partners with the classmates doing well in study.