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LBSN2Vec++: Global-scale Check-in Dataset with User Social Networks

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posted on 05.08.2021, 13:33 authored by Dingqi Yang, Bingqing Qu, Jie YangJie Yang, Philippe Cudré-Mauroux
This dataset includes long-term (about 22 months from Apr. 2012 to Jan. 2014) global-scale check-in data collected from Foursquare, and also two snapshots of user social networks before and after the check-in data collection period (see more details in our paper). The check-in dataset contains 22,809,624 checkins by 114,324 users on 3,820,891 venues. The social network data contains 363,704 (old) and 607,333 (new) friendships. Due to frequent requests, we also include the raw check-in dataset containing 90,048,627 checkins by 2,733,324 users on 11,180,160 venues.

Please cite our paper if you publish material based on this dataset:

+ Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudre-Mauroux, Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach, In Proc. of The Web Conference (WWW'19). May. 2019, San Francisco, USA.
+ Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudre-Mauroux, LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.


European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 683253/GraphInt)




Time coverage

Apr. 2012 to Jan. 2014


TSV files


University of Macau; TU Delft, Faculty of Electronic Engineering, Mathematics and Computer Science, Department of Software Technology; University of Fribourg