It is a widely held belief among designers of social tagging systems that tag clouds represent a useful tool for navigation. This is evident in the increasing number of tagging systems offering tag clouds, which hints towards an implicit assumption that tag clouds support efficient navigation. In this paper, we test this assumption from a network-theoretic perspective, and show that in many cases, it does not hold. We first model navigation in tagging systems and then simulate the navigation process in such a graph. We analyse the navigability of three tagging datasets with regard to different user interface restrictions imposed by tag clouds. Our results confirm that tag clouds have efficient navigation properties in theory, but they also show that popular user interface decisions, such as 'pagination' significantly impair their navigability. Finally, we identify a number of avenues for further research and the design of novel tag cloud construction algorithms.
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D. Helic et al.Keywords: tagging; tag clouds; navigability; simulation; user interface; pagination.Reference to this paper should be made as follows: Helic, D., Trattner, C., Strohmaier, M. and Andrews, K. (2011) His research interests include multimedia and hypermedia information systems, the web, semantic modelling on the web, and e-learning systems. He published more than 50 research papers in refereed international journals and conferences and won a number of conference best-paper awards related to his e-learning research work. Keith Andrews is a Tenured Associate Professor at the Institute for Information Systems and Computer Media (IICM) at Graz University of Technology, in Austria. Having done work in the fields of computer graphics, 3D worlds, hypermedia, and the web, he is currently pursuing his research in the fields of information visualisation and usability. He was a Programme co-Chair of the IEEE
Christoph Trattner is a Scientific