TY  - JOUR
AU  - Kaser, Owen
AU  - Lemire, Daniel
T1  - Tag-Cloud Drawing: Algorithms for Cloud Visualization
JO  - CoRR
PY  - 2007/
VL  - abs/cs/0703109
IS  - 
SP  - 
EP  - 
UR  - http://arxiv.org/abs/cs/0703109
DO  - 
KW  - visualization
KW  - tag
KW  - folksonomy
KW  - cloud
KW  - drawing
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Tag clouds provide an aggregate of tag-usage statistics. They are typically sent as in-line HTML to browsers. However, display mechanisms suited for ordinary text are not ideal for tags, because font sizes may vary widely on a line. As well, the typical layout does not account for relationships that may be known between tags. This paper presents models and algorithms to improve the display of tag clouds that con- sist of in-line HTML, as well as algorithms that use nested tables to achieve a more general 2-dimensional layout in which tag relationships are considered. The first algorithms leverage prior work in typesetting and rectangle packing, whereas the second group of algorithms leverage prior work in Electronic Design Automation. Experiments show our algorithms can be efficiently implemented and perform well. 
ER  -