Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10874
Title: Nonlinear analysis of dynamical complex networks
Authors: Wang, Z
Shen, B
Dong, H
Hu, J
Keywords: Nonlinear analysis;Dynamical complex networks
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Citation: Abstract and Applied Analysis, 2013: 530124, (2013)
Abstract: Complex networks are composed of a large number of highly interconnected dynamical units and therefore exhibit very complicated dynamics. Examples of such complex networks include the Internet, that is, a network of routers or domains, the World Wide Web (WWW), that is, a network of websites, the brain, that is, a network of neurons, and an organization, that is, a network of people. Since the introduction of the small-world network principle, a great deal of research has been focused on the dependence of the asymptotic behavior of interconnected oscillatory agents on the structural properties of complex networks. It has been found out that the general structure of the interaction network may play a crucial role in the emergence of synchronization phenomena in various fields such as physics, technology, and the life sciences.
Description: Copyright © 2013 Zidong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://www.hindawi.com/journals/aaa/2013/530124/
http://bura.brunel.ac.uk/handle/2438/10874
DOI: http://dx.doi.org/10.1155/2013/530124
ISSN: 1085-3375
1687-0409
Appears in Collections:Dept of Computer Science Research Papers

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