• DocumentCode
    2148220
  • Title

    Improving the Quality of Clustered Graph Drawing through a Dummy Element Approach

  • Author

    Jie Hua ; Mao Lin Huang

  • Author_Institution
    Fac. of Eng. & Inf., Technol. Univ. of Technol. Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    6-8 Aug. 2013
  • Firstpage
    88
  • Lastpage
    92
  • Abstract
    Clustered graphs have been widely consisted in Graph Drawing to overcome the problem of drawing large (or huge) graphs with thousands, or perhaps millions of nodes. Force-directed algorithm is one of the available approaches to draw such graphs with good layouts. However, the force directed methods are often produce very different layout outcomes based on different clustering algorithms that greatly affect the quality of the final result. In this paper, we propose a ´dummy element´ approach for drawing clustered graphs by using the traditional force-directed algorithm. Our approach attempts to maximize the satisfaction of aesthetics in graph drawing. The experimental results shown that our new method can reduce the side effects on choosing different clustering methods and improve the quality of final layouts.
  • Keywords
    computational complexity; directed graphs; pattern clustering; aesthetics satisfaction maximization; clustered graph drawing quality improvement; clustering algorithms; dummy-element approach; force-directed algorithm; graph layout quality improvement; Clustering algorithms; Data visualization; Educational institutions; Image edge detection; Layout; Manganese; Navigation; Force-Directed Graph Layout; Graph Clustering; Graph Drawing; Information Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/CGIV.2013.23
  • Filename
    6658169