Reconstructing complex network for characterizing the time-varying causality evolution behavior of multivariate time series

In order to explore the characteristics of the evolution behavior of the time-varying relationships between multivariate time series, this paper proposes an algorithm to transfer this evolution process to a complex network. We take the causality patterns as nodes and the succeeding sequence relation...

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Detalles Bibliográficos
Autores principales: Jiang, Meihui, Gao, Xiangyun, An, Haizhong, Li, Huajiao, Sun, Bowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585247/
https://www.ncbi.nlm.nih.gov/pubmed/28874713
http://dx.doi.org/10.1038/s41598-017-10759-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585247/
https://www.ncbi.nlm.nih.gov/pubmed/28874713
http://dx.doi.org/10.1038/s41598-017-10759-3

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