Fast Network K-function-based Spatial Analysis
Summary: Proposes count augmentation (CA) and neighbor sharing (NS) to accelerate network K-function computation on spatial networks. Integrates shortest path sharing (ASPS) to reduce worst-case complexity, delivering up to 165.85x speedups over prior methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tsz Nam Chan
- 2. Leong Hou U
- 3. Yun Peng
- 4. Byron Choi
- 5. Jianliang Xu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,835 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 4.1945683e-05 |
| 11,002 | LION: Fast and High-Resolution Network Kernel Density Visualization | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
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| 5,597 | Efficient Shortest Path Counting on Large Road Networks | 2022 | VLDB | 5.4178241e-05 |
| 11,065 | Efficient kNN Search in Public Transportation Networks | 2024 | VLDB | 4.1945683e-05 |
| 5,508 | Fast Large-Scale Trajectory Clustering | 2020 | VLDB | 5.4713696e-05 |
| 7,608 | Clustering Objects on a Spatial Network | 2004 | SIGMOD | 4.6967024e-05 |
| 433 | Scalable Network Distance Browsing in Spatial Databases | 2008 | SIGMOD | 0.00023310419 |
| 10,171 | High-Throughput k Nearest Neighbors Search in Road Networks | 2026 | SIGMOD | 4.1945683e-05 |
| 598 | Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases | 2004 | VLDB | 0.00019474545 |
| 11,499 | Fast Augmentation Algorithms for Network Kernel Density Visualization | 2021 | VLDB | 4.1945683e-05 |