基于校园时空数据的朋友关系特征挖掘

he rapid development of campus network provides a large amount of data of students\'behavior characteristics based on spatio-temporal data. However, most of the existing mining methods only analyze the characteristics of campus consumption data in low dimensions, and it is difficult to cover the dimension of spatio-temporal attributes. In order to solve the above problems, this paper proposes a method of building friendships and mining behavior characteristics based on dichotomy network. This method constructs a bipartite network according to the characteristics of campus spatio-temporal data, uses hypothesis test method to verify whether students\'co-occurrence originates from random encounters, obtains the student-friend relationship network, and analyses the information of students\' behavior characteristics. The experimental results show that this method can effectively mine the friendship among students and play an important reference role in the management and decision-making of colleges and universities.