Impact of self-healing capability on network robustness.
Phys Rev E Stat Nonlin Soft Matter Phys
; 91(4): 042804, 2015 Apr.
Article
em En
| MEDLINE
| ID: mdl-25974544
ABSTRACT
A wide spectrum of real-life systems ranging from neurons to botnets display spontaneous recovery ability. Using the generating function formalism applied to static uncorrelated random networks with arbitrary degree distributions, the microscopic mechanism underlying the depreciation-recovery process is characterized and the effect of varying self-healing capability on network robustness is revealed. It is found that the self-healing capability of nodes has a profound impact on the phase transition in the emergence of percolating clusters, and that salient difference exists in upholding network integrity under random failures and intentional attacks. The results provide a theoretical framework for quantitatively understanding the self-healing phenomenon in varied complex systems.
Buscar no Google
Base de dados:
MEDLINE
Assunto principal:
Modelos Teóricos
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article