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Subject: a few more references (old and new)
Online reputation in e-commerce =============================== General definitions: (1) Resnick, Paul, Zeckhauser, Richard, Friedman, Eric, and Kuwabara, Ko. Reputation Systems. Communications of the ACM, 43(12), December 2000, pages 45-48. A reputation system gives people information about others' past performance. It can enhance an on-line interaction environment by: - helping people decide who to trust; - encouraging people to be more trustworthy; - discouraging those who are not trustworthy from participating. Three basic properties: - Entities in the system must be long-lived enough to ensure expectation of future interaction. - Feedback concerning current interaction is elicited and distributed and must be visible in the future. - Feedback must have influence on the actions/trust of entities in the future. Analysis/simulation of specific reputation systems: (2) Resnick, Paul, Zeckhauser, Richard, Swanson, John, and Kate Lockwood. The Value of Reputation on eBay: A Controlled Experiment. Experimental Economics. Volume 9, Issue 2, Jun 2006 Examined correlation of prices obtained in eBay with reputation of the sellers: For a given product with exactly the same description, established sellers farebetter than the newcomer. For newcomers, one or two negative comments did not affect the price (3) Keser, Claudia. Experimental games for the design of reputation management systems. IBM Systems Journal, Vol. 42, No. 3, 2003 http://www.research.ibm.com/journal/sj/423/keser.html Described a simulated e-business environment for game theory-inspired experiments, where: trust - a characteristic of buyers (expectation the buyer has of goodwill and benign intent of the seller) trustworthiness - a characteristic of sellers reputation - a trust-enhancing factor, playing 2 roles: informational (given lack of past interactions, buyers can base decisions on reputation) and a tool for controlling dishonest behavior The author presents the results of game theory-inspired experiments simulating introduction of a reputation system in such an e-business environment; it significantly increases both the transaction volume (trust) and the level of trustworthiness (both player types earn higher payoffs; payoff distribution between buyers and sellers becomes more equitable) Reputation in social networks ============================= (4) Miu, L. Computational Models of Trust and Reputation: Agents, Evolutionary Games, and Social Networks. PhD dissertation, MIT, December 2002 http://groups.csail.mit.edu/medg/ftp/lmui/computational%20models%20of%20trust%20and%20reputation.pdf distibguishes between global reputation and "personalized" reputation (tailored to who is asking). Interesting reputation typology (p. 25 - see attached image)
(5) Jennifer Golbeck. Computing and Applying Trust in Web-based Social Networks. PhD Dissertation, 2005 http://trust.mindswap.org/papers/GolbeckDissertation.pdf Reputation in peer-to-peer systems ================================== (6) Sonja Buchegger, Jochen Mundinger, Jean-Yves Le Boudec. Reputation Systems for Self-Organized Networks: Lessons Learned. IEEE Technology and Society Magazine, Special Issue on Limits of Cooperation in Wireless Communications, Toward Fourth Generation Wireless, March 2008. http://www.sonja.ws/soctec.pdf Security of reputation systems ============================== (7) Carrara, E. and Hogben, G. (Eds). Reputation-based Systems: a security analysis. European Network and Information Security Agency, October 2007 (see attached PDF) This report was just presented at ECRYPT a couple of weeks ago. Security will become important later on, but the report also contains a good terminology discussion (distinction between distributed reputation and centralized reputation,...)
enisa_pp_reputation_based_system.pdf
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