Complex network approach for recurrence analysis of time series

被引:478
作者
Marwan, Norbert [1 ]
Donges, Jonathan F. [1 ,2 ]
Zou, Yong [1 ]
Donner, Reik V. [1 ,3 ,4 ]
Kurths, Juergen [1 ,2 ]
机构
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
[2] Humboldt Univ, Dept Phys, D-12489 Berlin, Germany
[3] Tech Univ Dresden, Inst Transport & Econ, D-01062 Dresden, Germany
[4] Osaka Prefecture Univ, Grad Sch Sci, Naka Ku, Sakai, Osaka 5998531, Japan
关键词
Recurrence plot; Complex networks; Dynamical transitions; Palaeo-climate; PLIOPLEISTOCENE AFRICAN CLIMATE; QUANTIFICATION ANALYSIS; DYNAMICS; PLOTS; INFORMATION; MECHANISM;
D O I
10.1016/j.physleta.2009.09.042
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We propose a novel approach for analysing time series using complex network theory. We identify the recurrence matrix (calculated from time series) with the adjacency matrix of a complex network and apply measures for the characterisation of complex networks to this recurrence matrix. By using the logistic map, we illustrate the potential of these complex network measures for the detection of dynamical transitions. Finally, we apply the proposed approach to a marine palaeo-climate record and identify the subtle changes to the climate regime. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:4246 / 4254
页数:9
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