… spectral measures can estimate the robustness of a network against random and adversary
node removal. Our finding includes that, among five types of spectral measures… predictability …

… robustness of the resultant network … spectral measures and the robustness is indeed unclear
[31]. Nevertheless, given a reliable predictive measure or indicator of the network robustness…

… robustness prediction for various complex networks against destructive attacks. There are
quite many measures for networks robustness… a priori measures and a posteriori measures [11…

… spectral measures) can estimate the robustness of a network against random and adversary
node removal. Our finding includes that, among five types of spectral measures… predictability …

… tasks allows researchers to harness their robustness and adaptability to different datasets
… employs the entropy of the process, which, in turn, is determined using spectral density. The …

… prediction; 4) network robustness optimization. Based on the existing measures, a practical
threshold of network … Spectral measures are widely used to measure network connectivity …

… to what extent five spectral measures could estimate the robustness of a network against
random node/… Ohsaki, “Predictability of network robustness from spectral measures,” Journal of …

… network and the robustness of the communication network. In … investigate whether spectral
measures of a network topology … “Predictability of network robustness from spectral measures,…

… the robustness for real-world networks, the correlation between spectral measures and the
robustness … a reliable predictive measure or indicator of the network robustness, optimization …

… estimating time-varying spectral measures of Granger–Geweke … precedence and statistical
predictability among simultaneously … This spectral variant of causality is here referred to as …