Towards an Efficient Weighted Random Walk Domination
Summary: Weighted random walk domination on weighted graphs: pick a k-set S under budget B to minimize residual access cost to S. DpSel baseline; MatrixSel matrix-based greedy; BoundSel bound-pruning; all achieve (1-1/e); real-data experiments show scalability, memory efficiency, and applicability to social advertising and base-station planning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Songsong Mo (Wuhan University)
- 2. Zhifeng Bao (Royal Melbourne Institute of Technology University)
- 3. Ping Zhang (Huawei)
- 4. Zhiyong Peng (Wuhan University)
BibTeX Citation
@article{mo_vldb21,
title = {{Towards an Efficient Weighted Random Walk Domination}},
author = {Mo, Songsong and Bao, Zhifeng and Zhang, Ping and Peng, Zhiyong},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {4},
pages = {560--572},
doi = {10.14778/3436905.3436915},
url = {https://doi.org/10.14778/3436905.3436915},
year = {2021}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|---|---|---|---|
| 194 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.000259047 |
| 1,478 | Online Processing Algorithms for Influence Maximization | 2018 | SIGMOD | 0.00010651983 |
| 2,320 | Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened | 2020 | SIGMOD | 8.7576221e-05 |
| 2,555 | Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks | 2017 | VLDB | 8.4184379e-05 |
| 2,752 | Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks | 2020 | VLDB | 8.1648436e-05 |
| 8,546 | Confucius and Its Intelligent Disciples: Integrating Social with Search | 2010 | VLDB | 5.4119882e-05 |
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