caa a22 4500 606228691 CHVBK 20210128101205.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10796-014-9519-0 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9519-0 Estimating trust value: A social network perspective [Elektronische Daten] [Wei-Lun Chang, Arleen Diaz, Patrick Hung] 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. Springer Science+Business Media New York, 2014 Trust value nationallicence Social network nationallicence Self-organizing maps nationallicence Online rating systems nationallicence Chang Wei-Lun Department of Business Administration, Tamkang University, NO 151, Yingchuan Road, Tamsui District, New Taipei City, Taiwan aut Diaz Arleen Department of Business Administration, Tamkang University, NO 151, Yingchuan Road, Tamsui District, New Taipei City, Taiwan aut Hung Patrick Faculty of Business and Information Technology, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, L1H 7K4, Oshawa, ON, Canada aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1381-1400 1387-3326 17:6<1381 2015 17 10796 https://doi.org/10.1007/s10796-014-9519-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-014-9519-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chang Wei-Lun Department of Business Administration, Tamkang University, NO 151, Yingchuan Road, Tamsui District, New Taipei City, Taiwan aut NATIONALLICENCE 700 1- Diaz Arleen Department of Business Administration, Tamkang University, NO 151, Yingchuan Road, Tamsui District, New Taipei City, Taiwan aut NATIONALLICENCE 700 1- Hung Patrick Faculty of Business and Information Technology, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, L1H 7K4, Oshawa, ON, Canada aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1381-1400 1387-3326 17:6<1381 2015 17 10796