Structure and pattern of social tags for keyword selection behaviors
學年 100
學期 2
出版(發表)日期 2012-07-01
作品名稱 Structure and pattern of social tags for keyword selection behaviors
作品名稱(其他語言)
著者 Ke, Hao-Ren; Chen, Ya-Ning
單位 淡江大學資訊與圖書館學系
出版者 Budapest: Akademiai Kiado Rt.
著錄名稱、卷期、頁數 Scientometrics 92(1), pp.43-62
摘要 This article identifies patterns and structures in the social tagging of scholarly articles in CiteULike. Using a dataset of 4,215 tags attributed to 1,600 scholarly articles from 15 library and information science journals, a network was built to understand users’ information organization behavior. Social network analysis and the frequent-pattern tree method were used to discover the implicit patterns and structures embedded in social tags as well as in their use, based on 26 proposed tag categories. The pattern and structure of this network of social tags is characterized by power-law distribution, centrality, co-used tag categories, role sharing among tag categories, and similar roles of tag categories in associating distinct tag categories. Furthermore, researchers generated 21 path-based decision-making sub-trees providing valuable insights into user tagging behavior for information organization professionals. The limitations of this study and future research directions are discussed.
關鍵字 Social tags; Social network analysis; Frequent-pattern tree; CiteULike
語言 en_US
ISSN 0138-9130
期刊性質
收錄於
產學合作
通訊作者
審稿制度
國別 HUN
公開徵稿
出版型式 紙本
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