Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Visual Analysis of Complex Networks and Community Structure

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  • @INPROCEEDINGS{10.1007/978-3-642-02469-6_93,
        author={Bin Wu and Qi Ye and Yi Wang and Ran Bi and Lijun Suo and Deyong Hu and Shengqi Yang},
        title={Visual Analysis of Complex Networks and Community Structure},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
        proceedings_a={COMPLEX PART 2},
        year={2012},
        month={5},
        keywords={Visual Analytics Complex Network Community Structure},
        doi={10.1007/978-3-642-02469-6_93}
    }
    
  • Bin Wu
    Qi Ye
    Yi Wang
    Ran Bi
    Lijun Suo
    Deyong Hu
    Shengqi Yang
    Year: 2012
    Visual Analysis of Complex Networks and Community Structure
    COMPLEX PART 2
    Springer
    DOI: 10.1007/978-3-642-02469-6_93
Bin Wu1,*, Qi Ye1, Yi Wang1, Ran Bi1, Lijun Suo1, Deyong Hu1, Shengqi Yang1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: wubin@bupt.edu.cn

Abstract

Many real-world domains can be represented as complex networks.A good visualization of a large and complex network is worth more than millions of words. Visual depictions of networks, which exploit human visual processing, are more prone to cognition of the structure of such complex networks than the computational representation. We star by briefly introducing some key technologies of network visualization, such as graph drawing algorithm and community discovery methods. The typical tools for network visualization are also reviewed. A newly developed software framework JSNVA for network visual analysis is introduced. Finally,the applications of JSNVA in bibliometric analysis and mobile call graph analysis are presented.