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Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Summary: GCS finds a densely connected user community and a dense location cluster in location-based social networks. NP-hard; not APX unless P=NP. three algorithms: core-based basic, top-down greedy removal, expansion; extensive experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5878
Venue
SIGMOD
Year
2020
Pagerank
5.9496108e-05
Overall Rank
6,179 | 57.61%
DOI
10.1145/3318464.3380603

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kim_sigmod20,
        title = {{Densely Connected User Community and Location Cluster Search in Location-Based Social Networks}},
        author = {Kim, Junghoon and Guo, Tao and Feng, Kaiyu and Cong, Gao and Khan, Arijit and Choudhury, Farhana M.},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380603},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380603},
        year = {2020}
}

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