# Mechanism Design in Social Networks

**Authors:** Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

arXiv: 1702.03627 · 2017-02-14

## TL;DR

This paper introduces a novel auction mechanism called IDM that incentivizes truthful valuation reporting and information propagation in social networks, aiming to increase seller revenue in online social platforms.

## Contribution

It proposes the first formal mechanism design framework for auction-based information diffusion in social networks, addressing a gap in existing literature.

## Key findings

- IDM incentivizes truthful valuation reporting and information sharing.
- Compared to VCG, IDM maintains higher seller revenue.
- The mechanism is effective in large-scale online social networks.

## Abstract

This paper studies an auction design problem for a seller to sell a commodity in a social network, where each individual (the seller or a buyer) can only communicate with her neighbors. The challenge to the seller is to design a mechanism to incentivize the buyers, who are aware of the auction, to further propagate the information to their neighbors so that more buyers will participate in the auction and hence, the seller will be able to make a higher revenue. We propose a novel auction mechanism, called information diffusion mechanism (IDM), which incentivizes the buyers to not only truthfully report their valuations on the commodity to the seller, but also further propagate the auction information to all their neighbors. In comparison, the direct extension of the well-known Vickrey-Clarke-Groves (VCG) mechanism in social networks can also incentivize the information diffusion, but it will decrease the seller's revenue or even lead to a deficit sometimes. The formalization of the problem has not yet been addressed in the literature of mechanism design and our solution is very significant in the presence of large-scale online social networks.

## Full text

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## Figures

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## References

11 references — full list in the complete paper: https://tomesphere.com/paper/1702.03627/full.md

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Source: https://tomesphere.com/paper/1702.03627