Cart (Loading....) | Create Account
Close category search window
 

Does Tagging Indicate Knowledge Diffusion? An Exploratory Case Study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Saeed, A.U. ; Inst. for Knowledge Manage. (IWM), Graz Univ. of Technol., Graz ; Afzal, M.T. ; Latif, A. ; Stocker, A.
more authors

The high potential of knowledge to create economies of scale attracted the interest towards understanding the dynamics of its diffusion. The new developments in the collaborative and participatory role of web emerges new knowledge structures driving the need towards Web based indicators for studying the diffusion of knowledge on Web. We present the results of an exploratory case-study investigating the tagging and citing practices for the WWW `06 conference papers. We observed two important patterns: (1) Papers which got heavily tagged in all three applications Delicious, Citeulike and Bibsonomy (average total tags > 6) generally achieved a high number of citations. We also observed that most of the tags were from 2006 and most of the citations were from 2007. This indicated that tags may hold the potential of foretelling the future volume of regenerative diffusion of research. (2) Terms appearing in tag-clouds of highly tagged papers in 2006 reappear frequently in the titles of respective citing papers in 2007. This shows that tag clouds may have the potential of forecasting the context of diffusion as well. It furthermore indicates that the users tag the papers with multiple tags according to their specific contexts of use as well as content of that knowledge artifact. Based on these patterns we propose that tags may be used as a supplementary indicator to model the diffusion of knowledge on Web.

Published in:

Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on  (Volume:1 )

Date of Conference:

11-13 Nov. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.