?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Feprints.imtlucca.it%2F1537%2F&rft.title=Network-aware+Evaluation+Environment+for+Reputation+Systems&rft.creator=Celestini%2C+Alessandro&rft.creator=De+Nicola%2C+Rocco&rft.creator=Tiezzi%2C+Francesco&rft.subject=QA75+Electronic+computers.+Computer+science&rft.description=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%2C+it+is+important+to+find+the%0D%0Amost+suitable+model+and+to+determine+its+right+initial+configuration.+This+calls+for+an+engineering+approach+for+describing%2C+implementing+and+evaluating+reputation%0D%0Asystems+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%2C+we+analyse+reputation+models+based+on+the+beta+distribution+and+the+maximum+likelihood+estimation.&rft.publisher=IMT+Institute+for+Advanced+Studies+Lucca&rft.date=2013-03&rft.type=Working+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Feprints.imtlucca.it%2F1537%2F1%2FCSA_TR_2013_5.pdf&rft.identifier=++Celestini%2C+Alessandro+and+De+Nicola%2C+Rocco+and+Tiezzi%2C+Francesco++Network-aware+Evaluation+Environment+for+Reputation+Systems.++CSA+Technical+Report++%2305%2F2013++++IMT+Institute+for+Advanced+Studies+Lucca+++++++++