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Structure and pattern of social tags for keyword selection behaviors

Author

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  • Hao-Ren Ke

    (National Taiwan Normal University)

  • Ya-Ning Chen

    (National Taiwan Normal University
    Computing Center, Academia Sinica)

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.

Suggested Citation

  • Hao-Ren Ke & Ya-Ning Chen, 2012. "Structure and pattern of social tags for keyword selection behaviors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 43-62, July.
    • Handle: RePEc:spr:scient:v:92:y:2012:i:1:d:10.1007_s11192-012-0718-5
    DOI: 10.1007/s11192-012-0718-5
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    References listed on IDEAS

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    1. Abebe Rorissa, 2010. "A comparative study of Flickr tags and index terms in a general image collection," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2230-2242, November.
    2. Besiki Stvilia & Corinne Jörgensen, 2010. "Member activities and quality of tags in a collection of historical photographs in Flickr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2477-2489, December.
    3. Abebe Rorissa, 2010. "A comparative study of Flickr tags and index terms in a general image collection," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(11), pages 2230-2242, November.
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    Cited by:

    1. Xuwei Pan & Shenglan He & Xiyong Zhu & Qingmiao Fu, 2016. "How users employ various popular tags to annotate resources in social tagging: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1121-1137, May.
    2. Youngok Choi & Sue Yeon Syn, 2016. "Characteristics of tagging behavior in digitized humanities online collections," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1089-1104, May.
    3. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).

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    1. Youngok Choi & Sue Yeon Syn, 2016. "Characteristics of tagging behavior in digitized humanities online collections," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1089-1104, May.
    2. Xuwei Pan & Shenglan He & Xiyong Zhu & Qingmiao Fu, 2016. "How users employ various popular tags to annotate resources in social tagging: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1121-1137, May.

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