Ko Fujimura
ABSTRACT
This paper proposes a new method for displaying large-scale tag clouds. We use a topographical image that helps users to grasp the relationship among tags intuitively as a background to the tag clouds. We apply this interface to a blog navigation system and show that the proposed method enables users to find the desired tags easily even if the tag clouds are very large, 5,000 and above tags. Our approach is also effective for understanding the overall structure of a large amount of tagged documents.
- Fujimura, S., Fujimura, K., and Okuda, H. Blogosonomy: Autotagging Any Text Using Bloggers' Knowledge, In International Conference on Web Intelligence, 205--212, 2007. Google Scholar
Digital Library
- Kaser, O. and Lemire, D. Tag-Cloud Drawing: Algorithms for Cloud Visualization, In WWW Workshop on Tagging and Metadata for Social Information Organization, 2007.Google Scholar
- Saito, K., Yamada, T., and Kazama, K. Extracting Communities from Complex Networks by the k-dense method, In ICDM Workshop on Mining Complex Data, 2006. Google ScholarDigital Library
- Matsubayashi, T. and Yamada, T. A Force-directed Graph Drawing based on the Hierarchical Individual Timestep Method, International Journal of Electronics, Circuits and Systems, Vol.1, No.2, 116--121, 2007.Google Scholar
- BLOGRANGER TG, http://ranger.labs.goo.ne.jp/TG/Google Scholar
- The Generic Mapping Tools, http://gmt.soest.hawaii.edu/Google Scholar
- Graphvis, http://www.graphvis.org/Google Scholar
Index Terms
- Topigraphy: visualization for large-scale tag clouds
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