Observatorio de I+D+i UPM

Memorias de investigación

Art�culos en revistas:

A�o:2015

Descripci�n
Understanding network robustness against failures of network units is useful for preventing large-scale breakdowns and damages in real-world networked systems. The tolerance of networked systems whose functions are maintained by collective dynamical behavior of the network units has recently been analyzed in the framework called dynamical robustness of complex networks. The effect of network structure on the dynamical robustness has been examined with various types of network topology, but the role of network assortativity, or degree?degree correlations, is still unclear. Here we study the dynamical robustness of correlated (assortative and disassortative) networks consisting of diffusively coupled oscillators. Numerical analyses for the correlated networks with Poisson and power-law degree distributions show that network assortativity enhances the dynamical robustness of the oscillator networks but the impact of network disassortativity depends on the detailed network connectivity. Furthermore, we theoretically analyze the dynamical robustness of correlated bimodal networks with two-peak degree distributions and show the positive impact of the network assortativity.
Internacional	Si
JCR del ISI	Si
T�tulo de la revista	Plos One
ISSN	1932-6203
Factor de impacto JCR	3,234
Informaci�n de impacto
Volumen	10
DOI	10.1371/journal.pone.0123722
N�mero de revista	4
Desde la p�gina	e0123722
Hasta la p�gina	e0123743
Mes	ABRIL
Ranking

Participantes

Autor: Takeyuki Takeyuki Sasai Graduate School of Information Science and Technology, The University of Tokyo
Autor: Kai Morino 1 Graduate School of Information Science and Technology, The University of Tokyo
Autor: Gouhei Tanaka Graduate School of Information Science and Technology, The University of Tokyo
Autor: Juan Antonio Almendral S�nchez UPM
Autor: Kazuyuki Aihara Graduate School of Information Science and Technology, The University of Tokyo