Managing Conflicting Interests of Stakeholders in Influencer Marketing
Summary: Models the brand–influencer agency as Profit Divergence Minimization in Investment-Persuasive Influencer Marketing Campaign (PDMIC); proves NP-hard. Employs staged search-space relaxation (binary → integer → continuous) with efficient approximate algorithms; experiments show strong performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shixun Huang (Royal Melbourne Institute of Technology)
- 2. Junhao Gan (University of Melbourne)
- 3. Zhifeng Bao (Royal Melbourne Institute of Technology)
- 4. Wenqing Lin (Tencent)
BibTeX Citation
@inproceedings{huang_sigmod23,
title = {{Managing Conflicting Interests of Stakeholders in Influencer Marketing}},
author = {Huang, Shixun and Gan, Junhao and Bao, Zhifeng and Lin, Wenqing},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588934},
url = {https://dl.acm.org/doi/10.1145/3588934},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,913 | Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee | 2024 | SIGMOD | 5.3483178e-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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