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dc.contributor.authorWang, Z-
dc.contributor.authorShen, B-
dc.contributor.authorDong, H-
dc.contributor.authorHu, J-
dc.identifier.citationAbstract and Applied Analysis, 2013: 530124, (2013)en_US
dc.descriptionCopyright © 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.en_US
dc.description.abstractComplex 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.en_US
dc.publisherHindawi Publishing Corporationen_US
dc.subjectNonlinear analysisen_US
dc.subjectDynamical complex networksen_US
dc.titleNonlinear analysis of dynamical complex networksen_US
dc.relation.isPartOfAbstract and Applied Analysis-
Appears in Collections:Dept of Computer Science Research Papers

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