Structure and pattern of social tags for keyword selection behaviors.

dc.contributor 國立臺灣師範大學圖書資訊學研究所 zh_TW 柯皓仁 zh_TW Ke, Hao-Ren en_US Chen, Ya-Ning en_US 2015-09-03T01:11:16Z 2015-09-03T01:11:16Z 2012-07-01
dc.description.abstract 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. en_US
dc.identifier ntnulib_tp_A1204_01_016
dc.identifier.issn 0138-9130、1588-2861
dc.language en_US
dc.relation Scientometrics, 92(1), 43-62. en_US
dc.title Structure and pattern of social tags for keyword selection behaviors. en_US