A novel spatial tag cloud using multi-level clustering

Jen-Wei Huang, Kuan Ying Chen, Yuan Chang Chen, Kai Ning Yang, I. Shyan Hwang, Wei Che Huang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Conventional tag cloud systems can only present the frequency of tags and the connection of tags and tag clusters, but cannot properly express the strength of the relationships. In this paper we tackle this problem by improving the representation of tag clustering. We combine the advantages of conventional systems to create a multi-level interactive tag cloud system using clustering scheme. In our tag cloud system, tags are mapped onto a two-dimensional space. A force-directed algorithm is applied to make the tags move in 2D space. The tags will move until equilibrium is reached. As a result, the tags with high correlation are clustered in the close vicinity, and so are the tag clusters with high correlation. In addition, we let the users to interact with the tag cloud by zooming and panning for different perspectives and let user to select a tag than the tag will locate at the center of window and show the correlations of the user selected tag with other tags. We believe that our system can improve the user browsing experience, and can also be served as a great basis for social network analysis and other related research.

Original languageEnglish
Pages (from-to)687-700
Number of pages14
JournalJournal of Information Science and Engineering
Volume30
Issue number3
Publication statusPublished - 2014 Jan 1

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics

Cite this

Huang, J-W., Chen, K. Y., Chen, Y. C., Yang, K. N., Hwang, I. S., & Huang, W. C. (2014). A novel spatial tag cloud using multi-level clustering. Journal of Information Science and Engineering, 30(3), 687-700.