  Network robustness is an essential system property to sustain functionality
in the face of failures or targeted attacks. Currently, only the connectivity
of the nodes unaffected by an attack is utilized to assess robustness. We
propose to incorporate the properties of the emerging connectivity of the nodes
affected by the attack (Idle Network), which is demonstrated to contain
pertinent information about network robustness, improving its assessment
accuracy. The Idle network information offers the potential to generalize
models, enabling them to estimate robustness for unseen attacks.
