Title: IS2NM: integrated social service network model for computing web service reputation

Authors: Jooik Jung; Kyung-Ryul Kim; Sejin Chun; Gunhee Cho; Kyong-Ho Lee

Addresses: Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, South Korea ' Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, South Korea ' Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, South Korea ' Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, South Korea ' Department of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, South Korea

Abstract: 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.

Keywords: service reputation; social networks; service networks; service discovery; web services; trustworthiness.

DOI: 10.1504/IJWGS.2015.072807

International Journal of Web and Grid Services, 2015 Vol.11 No.4, pp.390 - 409

Available online: 28 Oct 2015 *

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