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.
| Original language | English |
|---|---|
| Pages (from-to) | 390-409 |
| Number of pages | 20 |
| Journal | International Journal of Web and Grid Services |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2015 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Networks and Communications
Cite this
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IS2NM : Integrated social service network model for computing web service reputation. / Jung, Jooik; Kim, Kyung Ryul; Chun, Sejin; Cho, Gunhee; Lee, Kyong Ho.
In: International Journal of Web and Grid Services, Vol. 11, No. 4, 01.01.2015, p. 390-409.Research output: Contribution to journal › Article
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
PY - 2015/1/1
Y1 - 2015/1/1
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.
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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 -