计算机工程与应用2019，Vol.55Issue(24)：128-134,201,8.DOI:10.3778/j.issn.1002-8331.1808-0467
消除时空集聚性影响的社交关系推断方法研究
Method for Inferring Social Ties by Eliminating Influence of Spatio-Temporal Aggregation
摘要
Abstract
Mining university students’social ties based on their spatio-temporal trajectory is one of the hotspots of educa-tional big data research, some mining methods have also been proposed. In view of the impact of spatio-temporal distribu-tion aggregation, the contribution of spatio-temporal factors to the formation of social ties is comprehended, the location weight and group weight based on Shannon entropy are constructed. The method for inferring Weighted Social Ties based on Multiple Hypothesis Tes(t WST-MHT)is proposed and used to explore the social ties and intimacy of university stu-dents. A lot of experiments have been done with real data sets. The result is compared with the current popular methods of inferring social ties. It is observed that the accuracy by using the WST-MHT is 98.9% at the optimal threshold, and the recall is increased by around 20%.关键词
时空集聚性/地点权重/分组权重/多重假设验证Key words
spatio-temporal aggregation/location weight/group weight/multiple hypothesis test分类
信息技术与安全科学引用本文复制引用
刘涛,杨林涛,徐静雅,谢文武,刘守印..消除时空集聚性影响的社交关系推断方法研究[J].计算机工程与应用,2019,55(24):128-134,201,8.基金项目
国家自然科学基金地区基金(No.61867002) （No.61867002）
湖南省自然科学基金(No.2018JJ3210,No.2018JJ2154). （No.2018JJ3210,No.2018JJ2154）
