TY  - RPRT
PB  - IMT Institute for Advanced Studies Lucca
A1  - Celestini, Alessandro
A1  - De Nicola, Rocco
A1  - Tiezzi, Francesco
N2  - Parties of reputation systems rate each other and use ratings to compute reputation scores that drive their interactions. When deciding which reputation model to deploy in a network environment, it is important to find the
most suitable model and to determine its right initial configuration. This calls for an engineering approach for describing, implementing and evaluating reputation
systems while taking into account specific aspects of both the reputation systems and the networked environment where they will run. We present a software tool (NEVER) for network-aware evaluation of reputation systems and their rapid prototyping through experiments performed according to user-specified parameters. To demonstrate effectiveness of NEVER, we analyse reputation models based on the beta distribution and the maximum likelihood estimation.
M1  - imt_cs_techninal_report
Y1  - 2013/03//
KW  - Reputation systems
KW  -  Network-awareness
KW  -  Evaluation tool
TI  - Network-aware Evaluation Environment for Reputation Systems
AV  - public
UR  - http://eprints.imtlucca.it/1537/
ID  - eprints1537
EP  - 23
ER  -