Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A2L-A
Session:
Number:A2L-A-2
On Constructing Networks from Multivariate Time Series
Tomomichi Nakamura, Toshihiro Tanizawa,
pp.6-9
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
We introduce a method of constructing networks from multivariate time series. The method enables us to construct networks even if a given multivariate time series do not have strong similarity. We show a simple example where a common method based on similarity does not work. The method we introduce is demonstrated for numerical data generated by a known system and applied to actual time series with unknown dynamics.