A Game Theory Approach for Negotiating in Data Marketplaces
Summary: Game-theoretic multi-issue bargaining framework for data marketplaces, modeling provider/consumer negotiation over dataset, query, and governance parameters (price, format, privacy, terms) with distributed heuristics. The key novelty is automated negotiation with theoretical guarantees and improved agreement/fairness over monotonic/take-it-or-leave-it protocols. (summarized by gpt-5.4-mini on Apr 11 2026)
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Authors
- 1. Soulmaz Gheisari (University of Southampton)
- 2. Jaime Osvaldo Salas (University of Southampton)
- 3. Luis-Daniel Ibáñez (University of Southampton)
- 4. George Konstantinidis (University of Southampton)
BibTeX Citation
@inproceedings{gheisari_sigmod26,
title = {{A Game Theory Approach for Negotiating in Data Marketplaces}},
author = {Gheisari, Soulmaz and Salas, Jaime Osvaldo and Ibáñez, Luis-Daniel and Konstantinidis, George},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786616},
url = {https://dl.acm.org/doi/10.1145/3786616},
year = {2026}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,088 | A Formal Analysis of Information Disclosure in Data Exchange | 2004 | SIGMOD | 0.00012248135 |
| 3,705 | Protecting Data Markets from Strategic Buyers | 2022 | SIGMOD | 7.1826873e-05 |
| 4,785 | Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia | 2023 | SIGMOD | 6.5084717e-05 |
| 9,228 | Enabling Personal Consent in Databases | 2022 | VLDB | 5.3018457e-05 |
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