The dynamics of reputation systems

Amir Ban*, Nati Linial

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


Online reputation systems collect, maintain and disseminate reputations as a summary numerical score of past interactions of an establishment with its users. As reputation systems, including web search engines, gain in popularity and become a common method for people to select sought services, a dynamical system unfolds: Experts' reputation attracts the potential customers. The experts' expertise affects the probability of satisfying the customers. This rate of success in turn influences the experts' reputation. We consider here several models where each expert has innate, constant, but unknown level of expertise and a publicly known, dynamically varying, reputation. The specific model depends on (i) The way that experts' reputation affects customers' preferences, (ii) How experts' reputation is modified as a result of their success/failure in satisfying the customers' requests. We investigate several such models and elucidate some of the key characteristics of reputation in such a market of experts and customers.

Original languageAmerican English
Title of host publicationTARK XIII
Subtitle of host publicationTheoretical Aspects of Rationality and Knowledge - Proceedings of the 13th Conference, TARK 2011
Number of pages10
StatePublished - 2011
Event13th Conference on Theoretical Aspects of Rationality and Knowledge, TARK 2011 - Groningen, Netherlands
Duration: 12 Jul 201114 Jul 2011

Publication series

NameACM International Conference Proceeding Series


Conference13th Conference on Theoretical Aspects of Rationality and Knowledge, TARK 2011


  • expert
  • reputation
  • reputation system
  • search engine
  • social learning


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