The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/15112308

Dingqi Yang; Bingqing Qu; Jie Yang; Philippe Cudré-Mauroux (2021): LBSN2Vec++: Global-scale Check-in Dataset with User Social Networks. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15112308.v1

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Categories

• Computer Software
• Information Systems

Keywords

Check-in Foursquare Friendship Location-based Social Network LSBN Twitter

Time coverage

Apr. 2012 to Jan. 2014

Licence

CC BY 4.0

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by Dingqi Yang , Bingqing Qu, Jie 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.

History

• 2021-08-05 first online, published, posted

Publisher

4TU.ResearchData

Format

TSV files

Associated peer-reviewed publication

Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach

References

• https://doi.org/10.1145/3308558.3313635
• https://doi.org/10.1109/TKDE.2020.2997869

Funding

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

Organizations

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