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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 6/2015

01.12.2015

Estimating trust value: A social network perspective

verfasst von: Wei-Lun Chang, Arleen N. Diaz, Patrick C. K. Hung

Erschienen in: Information Systems Frontiers | Ausgabe 6/2015

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Abstract

This research introduces the concept of social distance, which is drawn from clustering methods applied to the social network user base; and incorporates distance in the estimation of trust, as well as user-generated ratings. The trust value estimated will serve as a metric for filtering and sorting content of any kind based on the trustworthiness of the creator. The results revealed that it is possible to provide an estimated measure of trust within individuals in a social network, that clustering methods were of significant help into said evaluation, and that the integration of other variables affecting the building of trust. Results also showed that higher rating scores combined with shorter social distances provide satisfactory trust values, while the opposite happened for subjects presenting lower rating scores in combination with longer distances. This study contributes to the current literature on trust estimation and social networks role in such endeavors.
Vorheriger Artikel RFID in production and service systems: Technology, applications and issues
Nächster Artikel The Structured Process Modeling Theory (SPMT) a cognitive view on why and how modelers benefit from structuring the process of process modeling

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Fußnoten
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Metadaten
Titel
Estimating trust value: A social network perspective
verfasst von
Wei-Lun Chang
Arleen N. Diaz
Patrick C. K. Hung
Publikationsdatum
01.12.2015
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 6/2015
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-014-9519-0

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