Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-10-23
International Journal of Computational Cognition, 2005, vol. 3, no. 4, pp. 16-26
Physics
Condensed Matter
Disordered Systems and Neural Networks
23 pages, 13 figures
Scientific paper
In the past few years, the discoveries of small-world and scale-free properties of many natural and artificial complex networks have stimulated significant advances in better understanding the relationship between the topology and the collective dynamics of complex networks. This paper reports recent progresses in the literature of synchronization of complex dynamical networks including stability criteria, network synchronizability and uniform synchronous criticality in different topologies, and the connection between control and synchronization of complex networks as well. The economic-cycle synchronous phenomenon in the World Trade Web, a scale-free type of social economic networks, is used to illustrate an application of the network synchronization mechanism.
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