TRIC: An Infrastructure for Trust and Reputation Across Virtual Communities

Gal-Oz, Nurit; Grinshpoun, Tal; Gudes, Ehud; Friese, Ingo

doi:10.1109/iciw.2010.14

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…It is necessary to quickly react to misbehavior indicated in third-party information to avoid first-hand losses. We survey different approaches to evaluating the credibility of external information sources in earlier work [37]; overcoming the semantic challenges of combining information from multiple sources and different formats is an important research topic as well [9], [16]. Finally, fraudulent behavior of partners must be detected also during the collaboration operation, and it should increase distrust in the culprit.…”

Section: Journal Of Theoretical and Applied Electronic Commerce Researchmentioning

confidence: 99%

Trust and Distrust in Adaptive Inter-enterprise Collaboration Management

Ruohomaa

Kutvonen

2010

J. theor. appl. electron. commer. res.

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Section: Journal Of Theoretical and Applied Electronic Commerce Researchmentioning

confidence: 99%

Trust and Distrust in Adaptive Inter-enterprise Collaboration Management

Ruohomaa

Kutvonen

2010

J. theor. appl. electron. commer. res.

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“…TRIC stands for an implementation project of the proposed architecture (see also [5]). In its core TRIC consists of two fundamental computational models -one for the internal reputation within each community and one for the sharing of reputation knowledge across communities.…”

Section: Introductionmentioning

confidence: 99%

Sharing Reputation Across Virtual Communities

Gal-Oz

Grinshpoun

Gudes

2010

J. theor. appl. electron. commer. res.

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Trust and reputation systems for virtual communities are gaining increasing research attention. These systems track members' activities and obtain their reputation to improve the quality of member interactions and reduce the effect of fraudulent members. As virtual communities become a central playground for internet users, the reputation a member gains within a community may be viewed as a social credential. These credentials can serve the user as a means for promoting her status in new communities on one hand, and on the other hand assist virtual communities to broaden their knowledge about users with relatively low activity volume. The Cross-Community Reputation (CCR) model was designed for sharing reputation knowledge across communities. The model identifies the fundamental terms that are required for a meaningful sharing of reputation information between communities and proposes methods to make that information sharing feasible within the boundaries of users' and communities' policies. This paper presents the CR model and draws the architecture guidelines for designing an infrastructure to support it. The proposed model is evaluated by using a sample of real-world users' ratings as well as by conducting a dedicated experiment with real users. The results of the experimental evaluation demonstrate the effectiveness of the CCR model in various aspects.

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Toward unified trust and reputation messaging in ubiquitous systems

Jelenc

2020

Ann. Telecommun.

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TRIC: An Infrastructure for Trust and Reputation Across Virtual Communities

Cited by 9 publications

References 8 publications

Trust and Distrust in Adaptive Inter-enterprise Collaboration Management

Trust and Distrust in Adaptive Inter-enterprise Collaboration Management

Sharing Reputation Across Virtual Communities

Toward unified trust and reputation messaging in ubiquitous systems

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