Reconstructing complex network for characterizing the time-varying causality evolution behavior of multivariate time series
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-10759-3.pdf
Reference44 articles.
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3. Gao, X. Y., An, H. Z., Fang, W., Li, H. J. & Sun, X. Q. The transmission of fluctuant patterns of the forex burden based on international crude oil prices. Energy 73, 380–386, doi: 10.1016/j.energy.2014.06.028 (2014).
4. Huang, X., An, H. Z., Gao, X. Y., Hao, X. Q. & Liu, P. P. Multiresolution transmission of the correlation modes between bivariate time series based on complex network theory. Physica a-Statistical Mechanics and Its Applications 428, 493–506, doi: 10.1016/j.physa.2015.02.028 (2015).
5. Gao, Z. K., Small, M. & Kurths, J. Complex network analysis of time series. Epl 116, 50001, doi: 10.1209/0295-5075/116/50001 (2016).
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