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
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;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2007.46