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
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.
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