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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| 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 |