Visual Representation of Multiple Associations in Data using Constrained Graph Layout
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Date
2009
Authors
Journal Title
Journal ISSN
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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}
}