Estimating Trust Value: A Social Network Perspective | |
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學年 | 104 |
學期 | 1 |
出版(發表)日期 | 2015-12-01 |
作品名稱 | Estimating Trust Value: A Social Network Perspective |
作品名稱(其他語言) | |
著者 | Chang, Wei-Lun; Arleen N. Diaz; Patrick Hung |
單位 | 淡江大學企業管理學系 |
出版者 | New York: Springer New York LLC |
著錄名稱、卷期、頁數 | Information Systems Frontiers 17(6), p.1381–1400 |
摘要 | 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. |
關鍵字 | Trust value;Social network;Self-organizing maps;Online rating systems |
語言 | en_US |
ISSN | 1387-3326 |
期刊性質 | 國外 |
收錄於 | SCI |
產學合作 | |
通訊作者 | |
審稿制度 | 是 |
國別 | USA |
公開徵稿 | |
出版型式 | ,電子版,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100672 ) |