Visual Representation of Multiple Associations in Data using Constrained Graph Layout

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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents a new approach for simultaneously visualizing multiple exclusive associations, defined on the same dataset, using constrained graph layout. We work with two different associations at a time, which can be represented as a binary graph operation. Given an initial graph layout which represents an association of the data, another set of constraints is applied to the graph to represent a second association on the same dataset to obtain the final layout. Our motivation is to preserve some features of the first layout as well as to achieve a simultaneous view of both the associations. We use this approach generically for three applications: for visualization of data with geometric and categorical constraints, respectively. We further propose to extend it to multiple associations, by using the binary operation multiple times.
Description

        
@inproceedings{
:10.2312/LocalChapterEvents/TPCG/TPCG09/065-068
, booktitle = {
Theory and Practice of Computer Graphics
}, editor = {
Wen Tang and John Collomosse
}, title = {{
Visual Representation of Multiple Associations in Data using Constrained Graph Layout
}}, author = {
Xu, Weijia
and
Sreevalsan-Nair, Jaya
}, year = {
2009
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905673-71-5
}, DOI = {
/10.2312/LocalChapterEvents/TPCG/TPCG09/065-068
} }
Citation