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Density-based Place Clustering in Geo-Social Networks

Summary: Extends density-based clustering to geo-social places by fusing spatial proximity with user social ties. Proposes a distance metric, indexing-based methods, and metrics: social entropy and community score to distinguish geo-social from purely spatial clusters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4930
Venue
SIGMOD
Year
2014
Pagerank
6.585234e-05
Overall Rank
4,651 | 68.10%
DOI
10.1145/2588555.2601497

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{shi_sigmod14,
        title = {{Density-based Place Clustering in Geo-Social Networks}},
        author = {Shi, Jieming and Mamoulis, Nikos and Wu, Dingming and Cheung, David W.},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2601497},
        url = {https://dl.acm.org/doi/10.1145/2588555.2601497},
        year = {2014}
}

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