Efficient Influence Minimization via Node Blocking
Summary: First data-dependent approximation framework for Influence Minimization via node blocking: derive submodular monotone lower/upper bounds via a Sandwich framework and prove computing those bounds is #P-hard. Introduce advanced sampling and martingale-based concentration to cut sample complexity and deliver (1-1/e-ε)-approx algorithms for the bounds, achieving up to two orders of magnitude speedup in experiments. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jinghao Wang (University of Technology Sydney; Zhejiang Gongshang University)
- 2. Yanping Wu (University of Technology Sydney)
- 3. Xiaoyang Wang (University of New South Wales)
- 4. Ying Zhang (Zhejiang Gongshang University)
- 5. Lu Qin (University of Technology Sydney)
- 6. Wenjie Zhang (University of New South Wales)
- 7. Xuemin Lin (Shanghai Jiao Tong University)
BibTeX Citation
@article{wang_vldb24,
title = {{Efficient Influence Minimization via Node Blocking}},
author = {Wang, Jinghao and Wu, Yanping and Wang, Xiaoyang and Zhang, Ying and Qin, Lu and Zhang, Wenjie and Lin, Xuemin},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {10},
pages = {2501--2513},
doi = {10.14778/3675034.3675042},
url = {https://doi.org/10.14778/3675034.3675042},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,731 | Simpler is More: Efficient Top-K Nearest Neighbors Search on Large Road Networks | 2024 | VLDB | 5.3766157e-05 |
| 9,688 | Deep Overlapping Community Search via Subspace Embedding | 2025 | SIGMOD | 5.2351259e-05 |
| 10,408 | Time-Critical Influence Minimization via Node Blocking | 2026 | SIGMOD | 5.093636e-05 |
| 10,611 | Augmenting Social Influence of Uncertain Seeds via Probabilistic Link Insertion | 2026 | VLDB | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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