4.4 Article

Portraits of complex networks

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EPL
卷 81, 期 6, 页码 -

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IOP Publishing Ltd
DOI: 10.1209/0295-5075/81/68004

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We propose a method for characterizing large complex networks by introducing a new matrix structure, unique for a given network, which encodes structural information; provides useful visualization, even for very large networks; and allows for rigorous statistical comparison between networks. Dynamic processes such as percolation can be visualized using animation. Copyright (c) EPLA, 2008

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