• 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