Evaluating tagging behavior in social bookmarking systems: Metrics and design heuristics

Umer Farooq, Thomas G. Kannampallil, Yang Song, Craig H. Ganoe, John M. Carroll, Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

71 Scopus citations

Abstract

To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze over two years of data from CiteULike, a social bookmarking system for tagging academic papers. We propose six tag metrics-tag growth, tag reuse, tag non-obviousness, tag discrimination, tag frequency, and tag patterns-to understand the characteristics of a social bookmarking system. Using these metrics, we suggest possible design heuristics to implement a social bookmarking system for CiteSeer, a popular online scholarly digital library for computer science. We believe that these metrics and design heuristics can be applied to social bookmarking systems in other domains.

Original languageEnglish
Title of host publicationGROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work
Pages351-360
Number of pages10
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 International ACM Conference on Supporting Group Work, GROUP'07 - Sanibel Island, FL, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameGROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work

Conference

Conference2007 International ACM Conference on Supporting Group Work, GROUP'07
CountryUnited States
CitySanibel Island, FL
Period11/4/0711/7/07

Keywords

  • CiteSeer
  • CiteULike
  • Collaboration

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    Farooq, U., Kannampallil, T. G., Song, Y., Ganoe, C. H., Carroll, J. M., & Giles, L. (2007). Evaluating tagging behavior in social bookmarking systems: Metrics and design heuristics. In GROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work (pp. 351-360). (GROUP'07 - Proceedings of the 2007 International ACM Conference on Supporting Group Work). https://doi.org/10.1145/1316624.1316677