Foursquare Global Check-ins with Social Network (WWW 2019)
A Foursquare dataset of 22,809,624 check-ins, 114,324 users, 3,820,891 venues, collected by Yang et al. via Foursquare API (2012–2014). Each record contains check-in timestamps, venue IDs, GPS coordinates, venue categories, friendship edges. One of the largest public Foursquare datasets with both check-in histories and social networks. Suitable for location-based social network analysis, user mobility, POI recommendation, community detection.
Cite this dataset at
foursquare-www2019.echo.directory
Analytics
The full graph has 114,324 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
foursquare_www2019- Authors
- Yang, Dingqi; Qu, Bingqing; Yang, Jie; Cudre-Mauroux, Philippe
- Year
- 2019
- Source paper
- Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach
- DOI / arXiv
- 10.1145/3308558.3313635
- License
- Academic use — see dataset page (LicenseRef-Research-Only)
- Records
- 22,809,624
- Nodes
- 114,324
- Edges
- 607,333
- Nodes are
- user
- Edges are
- friendship
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- Apr 2012 – Jan 2014 (2010s)
- Tasks
- Recommendation (ranking) inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://sites.google.com/site/yangdingqi/home/foursquare-dataset link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-16, 2.5 GB across 1 files. Checksums in MANIFEST.json.
Citations
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach
Dingqi Yang, Bingqing Qu, Jie Yang, P. Cudré-Mauroux
Book · The Web Conference · 2019
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Ding-Qi Yang, Benjamin Fankhauser et al. · International Joint Conference on Artificial Intelligence · 2020 · cited 207× - Graph-Flashback Network for Next Location Recommendation
Xuan Rao, Lisi Chen et al. · Knowledge Discovery and Data Mining · 2022 · cited 199× - Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Zhu Sun, Qing Guo et al. · Electronic Commerce Research and Applications · 2019 · cited 187×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{yang2019revisiting,
author = {Yang, Dingqi and Qu, Bingqing and Yang, Jie and Cudre-Mauroux, Philippe},
title = {Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach},
booktitle = {Proceedings of The Web Conference (WWW 2019)},
year = {2019},
address = {San Francisco, USA},
doi = {10.1145/3308558.3313510}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Yang, D., Qu, B., Yang, J., & Cudre-Mauroux, P. (2019). Foursquare Global Check-ins with Social Network (WWW 2019) [Data set]. https://doi.org/10.1145/3308558.3313635
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Yang, Dingqi, et al. Foursquare Global Check-ins with Social Network (WWW 2019). 2019, doi.org/10.1145/3308558.3313635.