Effective and Efficient Community Search for Complex Network Semantics Capture: From Coarse-Grain to Fine-Grain
Summary: Introduces (τ,ρ)-camp, a tunable model for capturing multi-interaction network semantics at varying granularity, beyond single-model community search. A hierarchical index yields a 2-approximate solution to the NP-hard support-maximization problem in query-size-linear time. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Shuai Han (Harbin Engineering University)
- 2. Yushi Tao (Harbin Engineering University)
- 3. Jingwen Tan (Harbin Engineering University)
- 4. Huanran Wang (Harbin Engineering University)
- 5. Wu Yang (Harbin Engineering University)
- 6. Yanmei Wang (China Unicom (Heilongjiang))
BibTeX Citation
@article{han_vldb25,
title = {{Effective and Efficient Community Search for Complex Network Semantics Capture: From Coarse-Grain to Fine-Grain}},
author = {Han, Shuai and Tao, Yushi and Tan, Jingwen and Wang, Huanran and Yang, Wu and Wang, Yanmei},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {10},
pages = {3669--3681},
doi = {10.14778/3748191.3748223},
url = {https://doi.org/10.14778/3748191.3748223},
year = {2025}
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