摘要
以高校学生刷卡消费数据为分析对象,定义了学生之间呈现出的时空关联关系.设计了算法检测时空关联关系,利用检测出的时空关联关系构建社会关系网络,并对社会关系网络进行优化,进而挖掘出学生之间的社会网络关系.通过判断学生是否在同一个班级来验证挖掘出的社会网络关系.实验表明本方法能够较为准确地挖掘出学生的社会网络关系.
Based on the data of university students’ consumption,spatio-temporal correlation between students is defined.We designs an algorithm to detect spatio-temporal association,and the social relations network is constructed by using the spatiotemporal relation detected,and the social network is optimized,and social network relationship between students is found out.The social network relationship is verified by judging whether the students are in the same class.Experiments show that this method can accurately extract the social network relationship of students.
作者
李有增
周全
蒋鸿玲
LI You-zeng;ZHOU Quan;JIANG Hong-ling(Capital Normal University,Beijing 100048,China;Internet of Things Institute,CASC,Beijing 100094,China)
出处
《微电子学与计算机》
CSCD
北大核心
2018年第12期137-140,共4页
Microelectronics & Computer
关键词
时空关联
社会网络关系
消费数据
spatio-temporal correlation
social network relationship
consumption data
作者简介
李有增,男,(1962-),硕士,副研究员.研究方向为智慧校园、智慧教育、人才培训;周全,男,(1982-),硕士,助理研究员.研究方向为智慧校园、智慧教育、人才培训;通讯作者:蒋鸿玲,女,(1986-),博士,高级工程师.研究方向为智慧校园、大数据.E-mail:hangtian_jhl@163.com.
