Synchronization in complex networks

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Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analytical ... continued below

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Arenas, A.; Diaz-Guilera, A.; Moreno, Y.; Zhou, C. & Kurths, J. December 12, 2007.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 22 times , with 9 in the last month . More information about this article can be viewed below.

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Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analytical approaches to the problem are presented. Finally, we review several applications of synchronization in complex networks to different disciplines: biological systems and neuroscience, engineering and computer science, and economy and social sciences.

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  • Journal Name: Physical Reports; Journal Volume: 469; Related Information: Journal Publication Date: 2008

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  • Report No.: LBNL-1453E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 946805
  • Archival Resource Key: ark:/67531/metadc893836

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • December 12, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 8, 2016, 1:17 p.m.

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Arenas, A.; Diaz-Guilera, A.; Moreno, Y.; Zhou, C. & Kurths, J. Synchronization in complex networks, article, December 12, 2007; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc893836/: accessed November 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.