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Strategyproofness and Monotone Allocation of Auction in Social Networks

Published: July 19, 2025 | arXiv ID: 2507.14472v1

By: Yuhang Guo , Dong Hao , Bin Li and more

Potential Business Impact:

Makes online auctions fairer and more profitable.

Business Areas:
Online Auctions Commerce and Shopping

Strategyproofness in network auctions requires that bidders not only report their valuations truthfully, but also do their best to invite neighbours from the social network. In contrast to canonical auctions, where the value-monotone allocation in Myerson's Lemma is a cornerstone, a general principle of allocation rules for strategyproof network auctions is still missing. We show that, due to the absence of such a principle, even extensions to multi-unit network auctions with single-unit demand present unexpected difficulties, and all pioneering researches fail to be strategyproof. For the first time in this field, we identify two categories of monotone allocation rules on networks: Invitation-Depressed Monotonicity (ID-MON) and Invitation-Promoted Monotonicity (IP-MON). They encompass all existing allocation rules of network auctions as specific instances. For any given ID-MON or IP-MON allocation rule, we characterize the existence and sufficient conditions for the strategyproof payment rules, and show that among all such payment rules, the revenue-maximizing one exists and is computationally feasible. With these results, the obstacle of combinatorial network auction with single-minded bidders is now resolved.

Country of Origin
🇨🇳 🇦🇺 Australia, China

Page Count
17 pages

Category
Computer Science:
CS and Game Theory