Computer Science ›› 2007, Vol. 34 ›› Issue (4): 17-23.

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  • Online:2018-11-16 Published:2018-11-16

Abstract: Many real-world domains can be represented as complex networks. Visual depictions of networks, which exploit human visual processing, are more prone to cognition of the structure of such complex networks than the computational representatiorn. Many charac

Key words: Complex network, Visualization, Information visualization, Layout algorithm

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