基于校园一卡通数据好友发现及应用

doi:10.11959/j.issn.2096-0271.2017021

Abstract

Abstract:

Recently，educational big data has become a hot topic.A distributed file system to store，preprocess，and analyze campus card data was adopted.Based on it，a student encounter model has been proposed，so as to mine students’ offline social relations.To distinguish real friends from familiar strangers，the offline social relations for either individual students or classes were analyzed.Through these two perspectives，the students’ offline encounters was analyzed，which can not only extract social relationship between friends (including the isolated students)，but also provide data support for the campus class management.The experimental results show that the mined social relations reflect the real relationship.

Key words: community discovery, encounter model, offline social relation

CLC Number:

TP181

Mingming LU, Dan ZHANG, Jianxin WANG. Smart-card based campus friend mining and its applications[J]. Big Data Research, 2017, 3(2): 78-91.

Figures/Tables 11

References 19

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Smart-card based campus friend mining and its applications

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