a few more references (old and new)

[Daniela Bourges Waldegg <dbw@zurich.ibm.com>]

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