2009 | OriginalPaper | Buchkapitel
Visual Analysis of Complex Networks and Community Structure
verfasst von : Bin Wu, Qi Ye, Yi Wang, Ran Bi, Lijun Suo, Deyong Hu, Shengqi Yang
Erschienen in: Complex Sciences
Verlag: Springer Berlin Heidelberg
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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.