| Issue |
EPL
Volume 81, Number 6, March 2008
|
|
|---|---|---|
| Article Number | 68004 | |
| Number of page(s) | 6 | |
| Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
| DOI | https://doi.org/10.1209/0295-5075/81/68004 | |
| Published online | 27 February 2008 | |
Portraits of complex networks
1
Department of Physics, Clarkson University - Potsdam, NY 13699-5820, USA
2
Department of Math and Computer Science, Clarkson University - Potsdam, NY 13699-5815, USA
Received:
21
November
2007
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
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.