Volume 81, Number 6, March 2008
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||27 February 2008|
Portraits of complex networks
Department of Physics, Clarkson University - Potsdam, NY 13699-5820, USA
2 Department of Math and Computer Science, Clarkson University - Potsdam, NY 13699-5815, USA
Accepted: 28 January 2008
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.
PACS: 89.75.Hc – Networks and genealogical trees / 02.10.Ox – Combinatorics; graph theory / 89.75.-k – Complex systems
© EPLA, 2008
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