Abstract

In the traditional double auction market, the number of achievable tradable pairs are usually limited by the market size. To solve this problem, we propose new double auction mechanisms based on social networks to realize market expansion. In this paper, we examine the double auction market, which consists of a group of sellers and a group of buyers, where the sellers provide the same type of items, and the buyers respectively purchase one from them. In addition, every buyer can invite other potential buyers to enter the market through social networks. The goal of this paper is to propose mechanisms such that they can encourage buyers already in the market to invite other potential buyers to join the auction through social networks, and achieve an effective allocation of merchandises and increase profits for sellers, which cannot be achieved under the existing double auction mechanism. We found that the extended McAfee auction mechanism cannot motivate existing buyers to invite other potential ones, while the traditional Vickrey-Clark-Groves (VCG) mechanism cannot guarantee to break even. To solve these problems, we propose two mechanisms, which are called information network auction (INA) mechanism and double network auction (DNA) mechanism. Both of these mechanisms can encourage old buyers in the market to invite new potential customers to participate. Moreover, INA focuses on achieving more effective allocation and DNA focuses on ensuring a balance between income and expenditure.

Highlights

  • At present, research on double auction has become a hot topic of great interest in the fields of economics and computer science

  • One idea of double auctions research is to find a dominant strategy that allows sellers and buyers to truly report their respective valuations of merchandises

  • Li et al [8] presented a report on related work in 2017, and they focused on the design of singleitem auctions on social networks, where buyers were motivated to disseminate auction information to their neighbors

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Summary

INTRODUCTION

Research on double auction has become a hot topic of great interest in the fields of economics and computer science. Li et al [8] presented a report on related work in 2017, and they focused on the design of singleitem auctions on social networks, where buyers were motivated to disseminate auction information to their neighbors. In 2003, Kempe et al [15] focused on how to select the most influential people and expect them to use social networks to disseminate information, and in 2011, Pickard et al [16] focused on how to design incentives mechanism to inspire buyers who invite more participants to complete the challenges of market trading together. We design a model for double auctions on social networks that allows buyers to interact only with her neighbors about their auction information. We further prove the conclusions induced by our theorems

MODEL DESCRIPTION
INFORMATION NETWORK AUCTION MECHANISM
DOUBLE NETWORK AUCTION MECHANISM
SIMULATION
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