Budget Feasible Mechanisms Over Graphs

This paper studies the budget-feasible mechanism design over graphs, where a buyer wishes to procure items from sellers, and all participants (the buyer and sellers) can only directly interact with their neighbors during the auction campaign. The problem for the buyer is to use the limited budget to incentivize sellers to propagate auction information to their neighbors, thereby more sellers will be informed of the auction and more item value will be procured. An impossibility result shows that the large-market assumption is necessary. We propose efficient budget-feasible diffusion mechanisms for large markets that simultaneously guarantee individual rationality, budget-feasibility, strong budget-balance, incentivecompatibility to report private costs and diffuse auction information. Moreover, the proposed mechanisms achieve logarithmic approximation that the total procured value is within a logarithmic factor of the optimal solution. Compared to most related budget-feasible mechanisms, which do not take the individual interactions among sellers into account, our mechanisms can incentivize sellers to further propagate auction information to other potential sellers. Meanwhile, existing related diffusion mechanisms only focus on seller-centric auctions and fail to satisfy the budget-feasibility of the buyer.

[1]  Makoto Yokoo,et al.  Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network , 2019, AAAI.

[2]  Athanasios V. Vasilakos,et al.  TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[3]  Yao Zhang,et al.  Maximal Information Propagation with Budgets , 2020, ECAI.

[4]  Yaron Singer,et al.  Pricing mechanisms for crowdsourcing markets , 2013, WWW.

[5]  Theodore Groves,et al.  Incentives in Teams , 1973 .

[6]  M E J Newman,et al.  Identity and Search in Social Networks , 2002, Science.

[7]  E. Maasland,et al.  Auction Theory , 2021, Springer Texts in Business and Economics.

[8]  A. Mehta Advertising Attitudes and Advertising Effectiveness , 2000, Journal of Advertising Research.

[9]  Christos H. Papadimitriou,et al.  Mechanisms for complement-free procurement , 2011, EC '11.

[10]  Yaron Singer,et al.  Budget Feasible Mechanisms , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.

[11]  Ning Chen,et al.  On the approximability of budget feasible mechanisms , 2010, SODA '11.

[12]  Éva Tardos,et al.  Maximizing the Spread of Influence through a Social Network , 2015, Theory Comput..

[13]  Wen Zhang,et al.  Redistribution Mechanism on Networks , 2020, AAMAS.

[14]  Gagan Goel,et al.  Budget Feasible Procurement Auctions , 2018, Oper. Res..

[15]  Yaron Singer,et al.  How to win friends and influence people, truthfully: influence maximization mechanisms for social networks , 2012, WSDM '12.

[16]  Ning Chen,et al.  Budget feasible mechanism design: from prior-free to bayesian , 2012, STOC '12.

[17]  Bin Li,et al.  Mechanism Design in Social Networks , 2016, AAAI.

[18]  Makoto Yokoo,et al.  Diffusion and Auction on Graphs , 2019, IJCAI.

[19]  Manuel Cebrián,et al.  Finding red balloons with split contracts: robustness to individuals' selfishness , 2012, STOC '12.

[20]  Xiang-Yang Li,et al.  How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[21]  E. H. Clarke Multipart pricing of public goods , 1971 .

[22]  Bin Li,et al.  Selling Multiple Items via Social Networks , 2018, AAMAS.

[23]  I. Sarason,et al.  Assessing Social Support: The Social Support Questionnaire. , 1983 .

[24]  Roger B. Myerson,et al.  Optimal Auction Design , 1981, Math. Oper. Res..

[25]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[26]  Gagan Goel,et al.  Mechanism Design for Crowdsourcing: An Optimal 1-1/e Competitive Budget-Feasible Mechanism for Large Markets , 2014, 2014 IEEE 55th Annual Symposium on Foundations of Computer Science.