Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis

Autor
Tirabassi, G.; Sevilla, R.; Martín Buldú, J.; Masoller, C.
Tipus d'activitat
Article en revista
Revista
Scientific reports
Data de publicació
2015-06-04
Volum
5
Número
10829
Pàgina inicial
1
Pàgina final
14
DOI
https://doi.org/10.1038/srep10829 Obrir en finestra nova
Projecte finançador
ESTOCASTICIDAD EN SISTEMAS COMPLEJOS NOLINEALES
Repositori
http://hdl.handle.net/2117/81536 Obrir en finestra nova
URL
http://www.nature.com/articles/srep10829 Obrir en finestra nova
Resum
A system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a variety of mechanisms, and which are often unknown. A popular method for inferring the system connectivity (i.e., the set of links among pairs of nodes) is by performing a statistical similarity analysis of the time-series collected from the dynamics of the nodes. Here, by conside...
Citació
Tirabassi, G., Sevilla, R., Martín Buldú, J., Masoller, C. Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis. "Scientific reports", 04 Juny 2015, vol. 5, núm. 10829, p. 1-14.
Paraules clau
climate networks, complex networks, fluctuations, information theory and computation, synchronization
Grup de recerca
DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers

Participants

  • Tirabassi, Giulio  (autor)
  • Sevilla Escoboza, Ricardo  (autor)
  • Martín Buldú, Javier  (autor)
  • Masoller Alonso, Cristina  (autor)

Arxius