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Individual and social behavior in tagging systems

Published: 29 June 2009 Publication History

Abstract

In tagging systems users can annotate items of interest with free-form terms. A good understanding of usage characteristics of such systems is necessary to improve the design of current and next generation of tagging systems. To this end, this work explores three aspects of user behavior in CiteULike and Connotea, two systems that include tagging features to support online personalized management of scientific publications. First, this study characterizes the degree to which users re-tag previously published items and reuse tags: 10 to 20% of the daily activity can be characterized as re-tagging and about 75% of the activity as tag reuse. Second, we use the pairwise similarity between users' activity to characterize the interest sharing in the system. We present the interest sharing distribution across the system, show that this metric encodes information about existing usage patterns, and attempt to correlate interest sharing levels to indicators of collaboration such as co-membership in discussion groups and semantic similarity of tag vocabularies. Finally, we show that interest sharing leads to an implicit structure that exhibit a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems.

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cover image ACM Conferences
HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia
June 2009
410 pages
ISBN:9781605584867
DOI:10.1145/1557914
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 29 June 2009

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Author Tags

  1. interest sharing
  2. random null model
  3. tag reuse
  4. tagging

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  • (2016)Identifying the most influential topic-sensitive opinion leaders in online review communities2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2016.7529579(330-335)Online publication date: Jul-2016
  • (2016)Comparative analysis of book tags: a cross-lingual perspectiveThe Electronic Library10.1108/EL-03-2015-004234:4(666-682)Online publication date: Aug-2016
  • (2015)A user-profile-based friendship recommendation solution in social networksJournal of Information Science10.1177/016555151556965141:3(284-295)Online publication date: 12-Feb-2015
  • (2015)Analysis of a Heterogeneous Social Network of Humans and Cultural ObjectsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2014.237821545:4(559-570)Online publication date: Apr-2015
  • (2014)Requirement Estimation and Design of Tag software in Web ApplicationInternational Journal of Information Technology and Web Engineering10.4018/ijitwe.20140401019:2(1-19)Online publication date: 1-Apr-2014
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