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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100672

    Title: Estimating Trust Value: A Social Network Perspective
    Authors: Chang, Wei-Lun;Arleen N. Diaz;Patrick Hung
    Contributors: 淡江大學企業管理學系
    Keywords: Trust value;Social network;Self-organizing maps;Online rating systems
    Date: 2015-12
    Issue Date: 2015-03-09 20:24:05 (UTC+8)
    Publisher: New York: Springer New York LLC
    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.
    Relation: Information Systems Frontiers 17(6), p.1381–1400
    DOI: 10.1007/s10796-014-9519-0
    Appears in Collections:[企業管理學系暨研究所] 期刊論文

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