Structure and pattern of social tags for keyword selection behaviors

淡江大學機構典藏 > 文學院 > 資訊與圖書館學系暨研究所 > 期刊論文 > Item 987654321/99499

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/99499

題名:	Structure and pattern of social tags for keyword selection behaviors
作者:	Ke, Hao-Ren;Chen, Ya-Ning
貢獻者:	淡江大學資訊與圖書館學系
關鍵詞:	Social tags;Social network analysis;Frequent-pattern tree;CiteULike
日期:	2012-07
上傳時間:	2014-11-11 11:48:23 (UTC+8)
出版者:	Budapest: Akademiai Kiado Rt.
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.
關聯:	Scientometrics 92(1), pp.43-62
DOI:	10.1007/s11192-012-0718-5
顯示於類別:	[資訊與圖書館學系暨研究所] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	380	檢視/開啟
Structure and pattern of social tags for keyword selection behaviors.pdf		589Kb	Adobe PDF	3	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章