TagSpheres: Visualizing Hierarchical Relations in Tag Clouds

Stefan Jänicke, Gerik Scheuermann


Tag clouds are widely applied, popular visualization techniques as they illustrate summaries of textual data in an intuitive, lucid manner. Many layout algorithms for tag clouds have been developed in the recent years, but none of these approaches is designed to reflect the notion of hierarchical distance. For that purpose, we introduce a novel tag cloud layout called TagSpheres. By arranging tags on various hierarchy levels and applying appropriate colors, the importance of individual tags to the observed topic gets assessable. To explore relationships among various hierarchy levels, we aim to place related tags closely. Three usage scenarios from the digital humanities, sports and aviation, and an evaluation with humanities scholars exemplify the applicability and point out the benefit of TagSpheres.


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Paper Citation

in Harvard Style

Jänicke S. and Scheuermann G. (2016). TagSpheres: Visualizing Hierarchical Relations in Tag Clouds . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 15-26. DOI: 10.5220/0005654100150026

in Bibtex Style

author={Stefan Jänicke and Gerik Scheuermann},
title={TagSpheres: Visualizing Hierarchical Relations in Tag Clouds},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)},

in EndNote Style

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)
TI - TagSpheres: Visualizing Hierarchical Relations in Tag Clouds
SN - 978-989-758-175-5
AU - Jänicke S.
AU - Scheuermann G.
PY - 2016
SP - 15
EP - 26
DO - 10.5220/0005654100150026