The Survival of the Unfittest

5 Pages Posted: 19 Jun 2020

See all articles by Ali Ghodsi

Ali Ghodsi

affiliation not provided to SSRN

Bernardo A. Huberman

CableLabs

Fang Wu

University of Texas at Dallas

Date Written: May 26, 2020

Abstract

We explore the use of parimutuel markets in a peer- to-peer setting to generate a wide diversity of content offerings while responding adaptively to customer demand. Files are served and paid for through a parimutuel market similar to that used for betting in horse races and in lotteries. Our simulations are based on rational agents, which all act according to a set of simple rules. The results show that a favorite-long-shot bias occurs, where agents tend to bet on long-shots rather than favorites when following simple expected utility maximization. Furthermore, we have confirmed that the long-tail does sustain even when the agents only have a limited view of all files to pick from. If the limited view consists of random subsets of all files, the long tail is enhanced. If the limited view consists of the top most popular items, the long tail slightly decreases. We have also explored the effect of bounded rationality. Our results show that the system is robust in presence of a large fraction of providers that have bounded rationality. If the providers with bounded rationality pick random items, the long tail is enhanced. Conversely, if the providers with bounded rationality only pick their favorite, the long tail slightly decreases.

Keywords: markets, parimutuel, long tail

Suggested Citation

Ghodsi, Ali and Huberman, Bernardo A. and Wu, Fang, The Survival of the Unfittest (May 26, 2020). Available at SSRN: https://ssrn.com/abstract=3611352 or http://dx.doi.org/10.2139/ssrn.3611352

Ali Ghodsi

affiliation not provided to SSRN

Bernardo A. Huberman (Contact Author)

CableLabs ( email )

400 W California Ave
Sunnyvale, CA 94086
United States

Fang Wu

University of Texas at Dallas ( email )

2601 North Floyd Road
Richardson, TX 75083
United States

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