Constructing ordinal partition transition networks from multivariate time series
Constructing ordinal partition transition networks from multivariate time series
About this item
Full title
Author / Creator
Zhang, Jiayang , Zhou, Jie , Tang, Ming , Guo, Heng , Small, Michael and Zou, Yong
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
A growing number of algorithms have been proposed to map a scalar time series into ordinal partition transition networks. However, most observable phenomena in the empirical sciences are of a multivariate nature. We construct ordinal partition transition networks for multivariate time series. This approach yields weighted directed networks represen...
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Full title
Constructing ordinal partition transition networks from multivariate time series
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TN_cdi_doaj_primary_oai_doaj_org_article_fe9b482bc4d6410e809cb677e3224b9c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe9b482bc4d6410e809cb677e3224b9c
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-08245-x
