• DocumentCode
    3717421
  • Title

    Texture-based edge bundling: A web-based approach for interactively visualizing large graphs

  • Author

    Jieting Wu;Lina Yu;Hongfeng Yu

  • Author_Institution
    Computer Science and Engineering, University of Nebraska-Lincoln
  • fYear
    2015
  • Firstpage
    2501
  • Lastpage
    2508
  • Abstract
    Directly visualizing a large graph as a node-link diagram often incurs visual clutter. Edge bundling can effectively address this issue and concisely reveal the main graph structure with reduced visual clutter. Although researchers have devoted noticeable efforts to develop acceleration methods, it remains a challenging task to efficiently conduct edge bundling on devices with a limited computing capacity, such as ubiquitous smart mobile devices. We present a new method for visualizing a node-link diagram based on force-directed edge bundling. We use textures to encode the data of lines and forces, and employ shaders to conduct the iterative line refinement on GPUs. We name this method as Texture-Based Edge Bundling (TBEB) as the major steps are done using textures. We demonstrate the high performance of TBEB using standard graphics cards. TBEB makes it feasible to interactively visualize large graphs on web-based platforms.
  • Keywords
    "Graphics processing units","Computational modeling","Data visualization","Visualization","Standards","Image edge detection"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7364046
  • Filename
    7364046