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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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,083 | A Formal Analysis of Information Disclosure in Data Exchange | 2004 | SIGMOD | 0.00014210752 |
| 4,138 | Protecting Data Markets from Strategic Buyers | 2022 | SIGMOD | 6.4175758e-05 |
| 4,863 | Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia | 2023 | SIGMOD | 5.8697471e-05 |
| 9,130 | Enabling Personal Consent in Databases | 2022 | VLDB | 4.3900952e-05 |
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