TY - JOUR
T1 - IS2NM
T2 - Integrated social service network model for computing web service reputation
AU - Jung, Jooik
AU - Kim, Kyung Ryul
AU - Chun, Sejin
AU - Cho, Gunhee
AU - Lee, Kyong Ho
N1 - Publisher Copyright:
© 2015 Inderscience Enterprises Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - Social networks facilitate information sharing and communication among people who have common interests. In the field of services computing, many researches have tried to exploit social networks to compute the reputations of web services. However, the reputation scores computed in most of these studies are still shown to be unreliable and lack trustworthiness. Therefore, this paper proposes an Integrated Social Service Network Model (IS2NM) which combines social and service network models along with the interactions among different types of service participants. Moreover, we present a sophisticated method of computing service reputations, which considers various types of participants such as service requesters, raters and providers participating in the service ecosystem. Based on the model, the proposed method calculates the credibility and expertise of the raters and providers of a service and incorporates them to the computation of service reputation scores. Experimental results with real-world web services show that the proposed method computes service reputations more elaborately and precisely.
AB - Social networks facilitate information sharing and communication among people who have common interests. In the field of services computing, many researches have tried to exploit social networks to compute the reputations of web services. However, the reputation scores computed in most of these studies are still shown to be unreliable and lack trustworthiness. Therefore, this paper proposes an Integrated Social Service Network Model (IS2NM) which combines social and service network models along with the interactions among different types of service participants. Moreover, we present a sophisticated method of computing service reputations, which considers various types of participants such as service requesters, raters and providers participating in the service ecosystem. Based on the model, the proposed method calculates the credibility and expertise of the raters and providers of a service and incorporates them to the computation of service reputation scores. Experimental results with real-world web services show that the proposed method computes service reputations more elaborately and precisely.
UR - http://www.scopus.com/inward/record.url?scp=84946916747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946916747&partnerID=8YFLogxK
U2 - 10.1504/IJWGS.2015.072807
DO - 10.1504/IJWGS.2015.072807
M3 - Article
AN - SCOPUS:84946916747
VL - 11
SP - 390
EP - 409
JO - International Journal of Web and Grid Services
JF - International Journal of Web and Grid Services
SN - 1741-1106
IS - 4
ER -