Effective Community Search over Large Spatial Graphs
Summary: Introduces spatial-aware community search (SAC) on large spatial graphs, enforcing both density and geographic proximity. Presents exact SAC solutions for a query vertex and three scalable approximations; experiments show SACs are more spatially compact and outperform standard CS methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yixiang Fang (University of Hong Kong)
- 2. Reynold Cheng (University of Hong Kong)
- 3. Xiaodong Li (University of Hong Kong)
- 4. Siqiang Luo (University of Hong Kong)
- 5. Jiafeng Hu (University of Hong Kong)
BibTeX Citation
@article{fang_vldb17,
title = {{Effective Community Search over Large Spatial Graphs}},
author = {Fang, Yixiang and Cheng, Reynold and Li, Xiaodong and Luo, Siqiang and Hu, Jiafeng},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {6},
pages = {709--720},
doi = {10.14778/3055330.3055335},
url = {https://doi.org/10.14778/3055330.3055335},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 34 of 34 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 273 | Online Search of Overlapping Communities | 2013 | SIGMOD | 0.00022671795 |
| 276 | Local Search of Communities in Large Graphs | 2014 | SIGMOD | 0.00022620623 |
| 706 | Effective Community Search for Large Attributed Graphs | 2016 | VLDB | 0.00014789612 |
| 982 | Influential Community Search in Large Networks | 2015 | VLDB | 0.0001283311 |
| 1,113 | Approximate Closest Community Search in Networks | 2016 | VLDB | 0.00012124571 |
| 4,715 | Efficient Algorithms for Answering the m-Closest Keywords Query | 2015 | SIGMOD | 6.5487034e-05 |
| 5,224 | A General Framework for Geo-Social Query Processing | 2013 | VLDB | 6.3102414e-05 |
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