期刊
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
卷 13, 期 2, 页码 947-952出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.nonrwa.2011.08.029
关键词
Complex network; Time series; Nonlinear dynamics; Unstable periodic orbits
资金
- National Natural Science Foundation of China [61104148, 50974095]
- Independent Innovation Foundation of Tianjin University
We propose a reliable method for constructing a directed weighted complex network (DWCN) from a time series. Through investigating the DWCN for various time series, we find that time series with different dynamics exhibit distinct topological properties. We indicate this topological distinction results from the hierarchy of unstable periodic orbits embedded in the chaotic attractor. Furthermore, we associate different aspects of dynamics with the topological indices of the DWCN, and illustrate how the DWCN can be exploited to detect unstable periodic orbits of different periods. Examples using time series from classical chaotic systems are provided to demonstrate the effectiveness of our approach. (C) 2011 Elsevier Ltd. All rights reserved.
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