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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Complex network based techniques to identify extreme events and (sudden) transitions in spatio-temporal systems

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Autor(es):
Marwan, Norbert [1] ; Kurths, Juergen [1, 2]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam - Germany
[2] Univ Berlin, Humboldt Inst Phys, D-10099 Berlin - Germany
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: Chaos; v. 25, n. 9 SEP 2015.
Citações Web of Science: 24
Resumo

We present here two promising techniques for the application of the complex network approach to continuous spatio-temporal systems that have been developed in the last decade and show large potential for future application and development of complex systems analysis. First, we discuss the transforming of a time series from such systems to a complex network. The natural approach is to calculate the recurrence matrix and interpret such as the adjacency matrix of an associated complex network, called recurrence network. Using complex network measures, such as transitivity coefficient, we demonstrate that this approach is very efficient for identifying qualitative transitions in observational data, e.g., when analyzing paleoclimate regime transitions. Second, we demonstrate the use of directed spatial networks constructed from spatio-temporal measurements of such systems that can be derived from the synchronized-in-time occurrence of extreme events in different spatial regions. Although there are many possibilities to investigate such spatial networks, we present here the new measure of network divergence and how it can be used to develop a prediction scheme of extreme rainfall events. (C) 2015 AIP Publishing LLC. (AU)

Processo FAPESP: 11/50151-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Linha de fomento: Auxílio à Pesquisa - Temático