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Research on Cross-OSN User Behavior Analytics at the Mobile Systems and Networking Group at Fudan University

Background

We are interested in understanding the behavior of many users across multiple OSNs. Our work covers the exploration of the cross-site linking function, and the cross-site user behavior prediction.

Publications

  • Qingyuan Gong, Yang Chen, Xinlei He, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu. Cross-Site Prediction on Social Influence for Cold-Start Users in Online Social Networks. To appear: ACM Transactions on the Web (TWEB). (DOI: 10.1145/3409108)

  • Qingyuan Gong, Yang Chen, Jiyao Hu, Qiang Cao, Pan Hui, Xin Wang. Understanding Cross-site Linking in Online Social Networks. ACM Transactions on the Web (TWEB), 2018, 12(4):25:1-25:29.

Datasets

  • An anonymized dataset of 60+ million Foursquare users with a focus on cross-site linking [Download]

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Research on Cross-OSN user behavior analytics at the Mobile Systems and Networking Group at Fudan University

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