DocumentCode
996521
Title
TopoLayout: Multilevel Graph Layout by Topological Features
Author
Archambault, Daniel ; Munzner, Tamara ; Auber, David
Author_Institution
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC
Volume
13
Issue
2
fYear
2007
Firstpage
305
Lastpage
317
Abstract
We describe TopoLayout, a feature-based, multilevel algorithm that draws undirected graphs based on the topological features they contain. Topological features are detected recursively inside the graph, and their subgraphs are collapsed into single nodes, forming a graph hierarchy. Each feature is drawn with an algorithm tuned for its topology. As would be expected from a feature-based approach, the runtime and visual quality of TopoLayout depends on the number and types of topological features present in the graph. We show experimental results comparing speed and visual quality for TopoLayout against four other multilevel algorithms on a variety of data sets with a range of connectivities and sizes. TopoLayout frequently improves the results in terms of speed and visual quality on these data sets
Keywords
graph theory; TopoLayout; graph hierarchy; graph visualization; information visualization; multilevel graph layout; topological features; undirected graphs; visual quality; Clustering algorithms; Computer Society; Computer vision; Data visualization; Detectors; Runtime; Topology; Tree graphs; Information visualization; graph visualization.; graphs and networks; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Software; User-Computer Interface;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2007.46
Filename
4069239
Link To Document