Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A3L-C
Session:
Number:A3L-C-1
On Constructing Networks from Multivariate Nonlinear Time Series
Tomomichi Nakamura, Toshihiro Tanizawa, Michael Small,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
We introduce a method for constructing networks from multivariate nonlinear time series from a deterministic dynamical systems perspective. The method can be applied even when the data exhibit no obvious qualitative similarity: a situation in which the naive method utilising the cross correlation function directly cannot correctly identify connectivity. The method is demonstrated for numerical data sets generated by known systems and applied to several experimental time series.