IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v67y2016i5p1121-1137.html
   My bibliography  Save this article

How users employ various popular tags to annotate resources in social tagging: An empirical study

Author

Listed:
  • Xuwei Pan
  • Shenglan He
  • Xiyong Zhu
  • Qingmiao Fu

Abstract

This paper focuses on exploring the usage patterns and regularities of co‐employment of various popular tags and their relationships with the activeness of users and the interest level of resources in social tagging. A hypernetwork for social tagging is constructed in which a tagging action is expressed as a hyperedge and the user, resource, and tag are expressed as nodes. Quantitative measures for the constructed hypernetwork are defined, including the hyperdegree and its distribution, the excess average hyperdegree, and the hyperdegree conditional probability distribution. Using the data set from Delicious, an empirical study was conducted. The empirical results show that multiple individual tags and one or very few popular tags are generally employed together in one tagging action, and the usage patterns and regularities of tags with varying popularity are correlated to both user activity and resource interest. The empirical results are further discussed and explained from the perspectives of tag functions and motivations. Finally, suggestions regarding the usage of various popular tags for both tagging users and service providers of social tagging are given.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:5:p:1121-1137
    DOI: 10.1002/asi.23478
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.23478
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.23478?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kwan Yi, 2012. "Harnessing collective intelligence in social tagging using Delicious," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2488-2502, December.
    2. Enrique Estellés Arolas & Fernando González Ladrón-de-Guevar, 2012. "Uses of explicit and implicit tags in social bookmarking," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 313-322, February.
    3. 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.
    4. Fu, Feng & Liu, Lianghuan & Wang, Long, 2008. "Empirical analysis of online social networks in the age of Web 2.0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 675-684.
    5. Ying Ding & Elin K. Jacob & Michael Fried & Ioan Toma & Erjia Yan & Schubert Foo & Staša Milojević, 2010. "Upper tag ontology for integrating social tagging data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 505-521, March.
    6. Ying Ding & Elin K. Jacob & Michael Fried & Ioan Toma & Erjia Yan & Schubert Foo & Staša Milojević, 2010. "Upper tag ontology for integrating social tagging data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 505-521, March.
    7. 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.
    8. 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.
    9. Chen Xu & Benjiang Ma & Xiaohong Chen & Feicheng Ma, 2013. "Social tagging in the scholarly world," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(10), pages 2045-2057, October.
    10. Jian-Wei Wang & Li-Li Rong & Qiu-Hong Deng & Ji-Yong Zhang, 2010. "Evolving hypernetwork model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 493-498, October.
    11. Ying Ding & Elin K. Jacob & Zhixiong Zhang & Schubert Foo & Erjia Yan & Nicolas L. George & Lijiang Guo, 2009. "Perspectives on social tagging," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2388-2401, December.
    12. Kwan Yi, 2012. "Harnessing collective intelligence in social tagging using Delicious," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2488-2502, December.
    13. Enrique Estellés Arolas & Fernando González Ladrón‐de‐Guevar, 2012. "Uses of explicit and implicit tags in social bookmarking," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(2), pages 313-322, February.
    14. Danielle H. Lee & Titus Schleyer, 2012. "Social tagging is no substitute for controlled indexing: A comparison of Medical Subject Headings and CiteULike tags assigned to 231,388 papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1747-1757, September.
    15. Danielle H. Lee & Titus Schleyer, 2012. "Social tagging is no substitute for controlled indexing: A comparison of Medical Subject Headings and CiteULike tags assigned to 231,388 papers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(9), pages 1747-1757, September.
    16. Chen Xu & Benjiang Ma & Xiaohong Chen & Feicheng Ma, 2013. "Social tagging in the scholarly world," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(10), pages 2045-2057, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunhong Xu & Dehu Yin & Duanning Zhou, 2019. "Investigating Users’ Tagging Behavior in Online Academic Community Based on Growth Model: Difference between Active and Inactive Users," Information Systems Frontiers, Springer, vol. 21(4), pages 761-772, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Yunhong Xu & Dehu Yin & Duanning Zhou, 2019. "Investigating Users’ Tagging Behavior in Online Academic Community Based on Growth Model: Difference between Active and Inactive Users," Information Systems Frontiers, Springer, vol. 21(4), pages 761-772, August.
    3. Bin Li & Yuxiang Tan & Qingqing Guo & Weihuan Wang, 2023. "Application of Comprehensive Evaluation of Line Loss Lean Management Based on Big-Data-Driven Paradigm," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    4. Simona Ibba & Filippo Eros Pani, 2016. "Digital Libraries: The Challenge of Integrating Instagram with a Taxonomy for Content Management," Future Internet, MDPI, vol. 8(2), pages 1-15, May.
    5. Mike Thelwall, 2018. "Differences between journals and years in the proportions of students, researchers and faculty registering Mendeley articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 717-729, May.
    6. 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.
    7. Yang, Guang-Yong & Hu, Zhao-Long & Liu, Jian-Guo, 2015. "Knowledge diffusion in the collaboration hypernetwork," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 429-436.
    8. Krawczyk, M.J. & Dydejczyk, A. & Kułakowski, K., 2014. "The Simmel effect and babies’ names," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 384-391.
    9. Yuan, Wei-Guo & Liu, Yun, 2015. "A mixing evolution model for bidirectional microblog user networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 167-179.
    10. Kibae Kim & Jorn Altmann & Junseok Hwang, 2010. "The Impact of the Subgroup Structure on the Evolution of Networks: An Economic Model of Network Evolution," TEMEP Discussion Papers 201056, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
    11. Wang, Jiang-Pan & Guo, Qiang & Yang, Guang-Yong & Liu, Jian-Guo, 2015. "Improved knowledge diffusion model based on the collaboration hypernetwork," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 250-256.
    12. Elias G. Carayannis & Klitos Christodoulou & Panayiotis Christodoulou & Savvas A. Chatzichristofis & Zinon Zinonos, 2022. "Known Unknowns in an Era of Technological and Viral Disruptions—Implications for Theory, Policy, and Practice," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 587-610, March.
    13. Wang, Junjie & Zhou, Shuigeng & Guan, Jihong, 2011. "Characteristics of real futures trading networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 398-409.
    14. Jian-Guo Liu & Guang-Yong Yang & Zhao-Long Hu, 2014. "A Knowledge Generation Model via the Hypernetwork," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    15. Shen, Ai-Zhong & Guo, Jin-Li & Suo, Qi, 2017. "Study of the variable growth hypernetworks influence on the scaling law," Chaos, Solitons & Fractals, Elsevier, vol. 97(C), pages 84-89.
    16. Wenjia Liu & Jian Wang & Yanfeng Ouyang, 2022. "Rumor Transmission in Online Social Networks Under Nash Equilibrium of a Psychological Decision Game," Networks and Spatial Economics, Springer, vol. 22(4), pages 831-854, December.
    17. Li, Yuan & Gao, Haoyu & Yang, Mingmin & Guan, Wanqiu & Ma, Haixin & Qian, Weining & Cao, Zhigang & Yang, Xiaoguang, 2015. "What are Chinese talking about in hot weibos?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 546-557.
    18. 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).
    19. Zhu, Zhiguo, 2013. "Discovering the influential users oriented to viral marketing based on online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3459-3469.
    20. Qiao, Jian & Meng, Ying-Ying & Chen, Hsinchun & Huang, Hong-Qiao & Li, Guo-Ying, 2016. "Modeling one-mode projection of bipartite networks by tagging vertex information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 270-279.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:67:y:2016:i:5:p:1121-1137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.