Synchronization in complex networks

被引：2956

作者：

Arenas, Alex ^{[1
,2
]}

Diaz-Guilera, Albert ^{[1
,3
]}

Kurths, Jurgen ^{[4
,5
]}

Moreno, Yamir ^{[1
,6
]}

Zhou, Changsong ^{[7
,8
]}

机构：

[1] Univ Zaragoza, Inst Biocomputat & Phys Complex Syst BIFI, E-50009 Zaragoza, Spain

[2] Univ Rovira & Virgili, Dept Engn Informat & Matemat, Tarragona 43007, Spain

[3] Univ Barcelona, Dept Fis Fonamental, E-08028 Barcelona, Spain

[4] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany

[5] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany

[6] Univ Zaragoza, Dept Theoret Phys, E-50009 Zaragoza, Spain

[7] Hong Kong Baptist Univ, Dept Phys, Kowloon Tong, Hong Kong, Peoples R China

[8] Hong Kong Baptist Univ, Ctr Nonlinear Studies, Kowloon Tong, Hong Kong, Peoples R China

来源：

PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2008年 / 469卷 / 03期

关键词：

Synchronization; Complex networks;

D O I：

10.1016/j.physrep.2008.09.002

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Synchronization processes in populations of locally interacting elements are the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understanding synchronization phenomena in natural systems now take 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 take an overview of the new emergent features coming out from the interplay between the structure and the function of the underlying patterns 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. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：93 / 153

页数：61

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