Analysis of Influence Contribution in Social Advertising
Summary: ICA for influencer campaigns in OSNs is framed via Shapley-value rationale to quantify each influencer's contribution. It yields a linear-time exact solution under LT and a FPRAS for IC with scalable sampling, with experiments showing improved attribution and efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuqing Zhu (Nanyang Technological University)
- 2. Jing Tang (Hong Kong University of Science and Technology)
- 3. Xueyan Tang (Nanyang Technological University)
- 4. Lei Chen (Hong Kong University of Science and Technology)
BibTeX Citation
@article{zhu_vldb22,
title = {{Analysis of Influence Contribution in Social Advertising}},
author = {Zhu, Yuqing and Tang, Jing and Tang, Xueyan and Chen, Lei},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {2},
pages = {348--360},
doi = {10.14778/3489496.3489514},
url = {https://doi.org/10.14778/3489496.3489514},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,723 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 5.1349531e-05 |
| 9,963 | Fast and Space-Efficient Parallel Algorithms for Influence Maximization | 2024 | VLDB | 5.1038322e-05 |
| 10,414 | ASSS: Adaptive Stratified Sampling for Shapley-like Values | 2026 | SIGMOD | 4.9793485e-05 |
| 11,554 | Influence Maximization via Vertex Countering | 2024 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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