• DocumentCode
    1365653
  • Title

    Divided Edge Bundling for Directional Network Data

  • Author

    Selassie, David ; Heller, Brandon ; Heer, Jeffrey

  • Author_Institution
    Comput. Sci. Dept., Stanford Univ., Stanford, CA, USA
  • Volume
    17
  • Issue
    12
  • fYear
    2011
  • Firstpage
    2354
  • Lastpage
    2363
  • Abstract
    The node-link diagram is an intuitive and venerable way to depict a graph. To reduce clutter and improve the readability of node-link views, Holten & van Wijk´s force-directed edge bundling employs a physical simulation to spatially group graph edges. While both useful and aesthetic, this technique has shortcomings: it bundles spatially proximal edges regardless of direction, weight, or graph connectivity. As a result, high-level directional edge patterns are obscured. We present divided edge bundling to tackle these shortcomings. By modifying the forces in the physical simulation, directional lanes appear as an emergent property of edge direction. By considering graph topology, we only bundle edges related by graph structure. Finally, we aggregate edge weights in bundles to enable more accurate visualization of total bundle weights. We compare visualizations created using our technique to standard force-directed edge bundling, matrix diagrams, and clustered graphs; we find that divided edge bundling leads to visualizations that are easier to interpret and reveal both familiar and previously obscured patterns.
  • Keywords
    data visualisation; directed graphs; matrix algebra; pattern clustering; clustered graphs; directed edge bundling; directional edge patterns; directional network data; graph connectivity; graph theory; graph topology; matrix diagrams; node link diagram; visualization; Data visualization; Encoding; Graphics; Image edge detection; Graph visualization; aggregation; edge bundling; node-link diagrams; physical simulation.;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2011.190
  • Filename
    6065002