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LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks

Summary: Introduces Local Sketch Modularity (LSM), a query-centric community quality measure computable without full-graph structure, aimed at overcoming free-rider effects in modularity-based search. Defines the NP-hard size-constrained community search problem LMSC and gives two efficient algorithms with strong empirical results on large networks. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7683
Venue
SIGMOD
Year
2026
Pagerank
5.0723324e-05
Overall Rank
10,509 | 28.15%
DOI
10.1145/3786666

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BibTeX Citation

@inproceedings{kim_sigmod26,
        title = {{LMSC: Local Sketch Modularity Optimisation for Size-Constrained Community Search in Networks}},
        author = {Kim, Dahee and Han, Taejoon and Feng, Kaiyu and Kim, Junghoon and Yoon, Susik},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786666},
        url = {https://dl.acm.org/doi/10.1145/3786666},
        year = {2026}
}

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