Economics of BitTorrent communities

Over the years, private file-sharing communities built on the BitTorrent protocol have developed their own policies and mechanisms for motivating members to share content and contribute resources. By requiring members to maintain a minimum ratio between uploads and downloads, private communities effectively establish credit systems, and with them full-fledged economies. We report on a half-year-long measurement study of DIME -- a community for sharing live concert recordings -- that sheds light on the economic forces affecting users in such communities. A key observation is that while the download of files is priced only according to the size of the file, the rate of return for seeding new files is significantly greater than for seeding old files. We find via a natural experiment that users react to such differences in resale value by preferentially consuming older files during a 'free leech' period. We consider implications of these finding on a user's ability to earn credits and meet ratio enforcements, focusing in particular on the relationship between visitation frequency and wealth and on low bandwidth users. We then share details from an interview with DIME moderators, which highlights the goals of the community based on which we make suggestions for possible improvement.

[1]  Michael J. Freedman,et al.  Peer-assisted content distribution with prices , 2008, CoNEXT '08.

[2]  Nazareno Andrade,et al.  Resource demand and supply in BitTorrent content-sharing communities , 2009, Comput. Networks.

[3]  David Hales,et al.  BitTorrent or BitCrunch: Evidence of a Credit Squeeze in BitTorrent? , 2009, 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

[4]  Xiaowen Chu,et al.  Measurements, Analysis and Modeling of Private Trackers , 2010, 2010 IEEE Tenth International Conference on Peer-to-Peer Computing (P2P).

[5]  Keith W. Ross,et al.  Understanding and Improving Ratio Incentives in Private Communities , 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.

[6]  Johan A. Pouwelse,et al.  Public and private BitTorrent communities: a measurement study , 2010, IPTPS.

[7]  Emin Gün Sirer,et al.  AntFarm: Efficient Content Distribution with Managed Swarms , 2009, NSDI.

[8]  Fang Wu,et al.  Bootstrapping the Long Tail in Peer to Peer Systems , 2005, ArXiv.

[9]  David Hales,et al.  No more crash or crunch: Sustainable credit dynamics in a P2P community , 2010, 2010 International Conference on High Performance Computing & Simulation.

[10]  Nazareno Andrade,et al.  Influences on cooperation in BitTorrent communities , 2005, P2PECON '05.

[11]  Keith W. Ross,et al.  BitTorrent Darknets , 2010, 2010 Proceedings IEEE INFOCOM.

[12]  Joseph Y. Halpern,et al.  Optimizing scrip systems: efficiency, crashes, hoarders, and altruists , 2007, EC '07.

[13]  Jiangchuan Liu,et al.  Unveiling popularity of BitTorrent Darknets , 2012, IET Commun..

[14]  Nazareno Andrade,et al.  Gifting technologies: A BitTorrent case study , 2006, First Monday.