• DocumentCode
    659630
  • Title

    ADraw: A novel social network visualization tool with attribute-based layout and coloring

  • Author

    Zhenwen Wang ; Weidong Xiao ; Bin Ge ; Hao Xu

  • Author_Institution
    Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    25
  • Lastpage
    32
  • Abstract
    Visualization is an important tool for social network analysis. Traditional visualization tools only take account into the links in the networks when displaying them. However, social networks are inherently attached to abundant attribute information. In order to display their attribute information, a novel visualization tool with attribute-based layout and coloring is developed in this paper. The core of this tool are two algorithms: one for node layout and the other for node coloring. These two algorithms are designed based on the principle of making the nodes with same attribute values closer in the diagram. The experiments on synthetic networks and real-world networks show that this tool can return more reasonable visualization.
  • Keywords
    data analysis; data visualisation; social networking (online); ADraw tool; attribute information; attribute-based coloring; attribute-based layout; node coloring; node layout; real-world networks; social network analysis; social network visualization tool; synthetic networks; Color; Communities; Data visualization; Layout; Motion pictures; Social network services; Visualization; Coloring; Layout; Network visualization; Social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691779
  • Filename
    6691779