Efficient Size-Bounded Community Search over Large Networks
Summary: Exact SC-BRB for size-bounded community search: find a connected subgraph containing q with l <= |V| <= h, maximizing min-degree. NP-hard; uses reductions, upper bounds, and branching to beat GreedyF and baselines, with speedups on large graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Yao (University of Sydney)
- 2. Lijun Chang (University of Sydney)
BibTeX Citation
@article{yao_vldb21,
title = {{Efficient Size-Bounded Community Search over Large Networks}},
author = {Yao, Kai and Chang, Lijun},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {8},
pages = {1441--1453},
doi = {10.14778/3457390.3457407},
url = {https://doi.org/10.14778/3457390.3457407},
year = {2021}
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