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)
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Authors
- 1. Dahee Kim (Ulsan National Institute of Science and Technology)
- 2. Taejoon Han (Ulsan National Institute of Science and Technology)
- 3. Kaiyu Feng (Beijing Institute of Science and Technology)
- 4. Junghoon Kim (Ulsan National Institute of Science and Technology)
- 5. Susik Yoon (Korea University)
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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