Robustness of Oscillatory Behavior in Correlated Networks.
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.