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Why share in peer-to-peer networks?
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Source ACM International Conference Proceeding Series; Vol. 342 archive
Proceedings of the 10th international conference on Electronic commerce table of contents
Innsbruck, Austria
SESSION: AGENTS-1 table of contents
Article No. 4  
Year of Publication: 2008
ISBN:978-1-60558-075-3
Authors
Lian Jian  University of Michigan, Ann Arbor, MI
Jeffrey K. MacKie-Mason  University of Michigan, Ann Arbor, MI
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Prior theory and empirical work emphasize the enormous free-riding problem facing peer-to-peer (P2P) sharing networks. Nonetheless, many P2P networks thrive. We explore two possible explanations that do not rely on altruism or explicit mechanisms imposed on the network: direct and indirect private incentives for the provision of public goods. The direct incentive is a traffic redistribution effect that advantages the sharing peer. We find this incentive is likely insufficient to motivate equilibrium content sharing in large networks. We then approach P2P networks as a graph-theoretic problem and present sufficient conditions for sharing and free-riding to co-exist due to indirect incentives we call generalized reciprocity.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Lian Jian: colleagues
Jeffrey K. MacKie-Mason: colleagues