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Matching user accounts with spatio-temporal awareness across social networks

Li, Yongjun; Ji, Wenli; Gao, Xing; Deng, Yao; Dong, Wei; Li, Dongxu


User identification aims at matching user accounts across social sites, which benefits many real-world applications. Existing works based on user trajectories usually address spatial and temporal data separately while not fully utilizing the coupling relation between them. Differently, in this work, we jointly consider spatialtemporal information in users’ acitvities to improve the user identification method. In particular, we observe that check-in records of different users tend to create...[Show more]

CollectionsANU Research Publications
Date published: 2021
Type: Journal article
Source: Information Sciences
DOI: 10.1016/j.ins.2021.04.030


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