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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)

Paper ID
13664
Venue
VLDB
Year
2024
Pagerank
5.3251649e-05
Overall Rank
9,057 | 37.87%
DOI
10.14778/3675034.3675042

Incoming Non-self Citations Over Time

Authors

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}
}

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