In ATM systems, the massive number of interacting entities makes it difficult to identify critical
elements and paths of disturbance propagation, as well as to predict the system-wide effects
that innovations might have. To this end, suitable metrics are required to assess the role of
the interconnections between the elements and complex network science provides several
network metrics to evaluate the network functioning. Here we focus on centrality and
causality metrics measuring, respectively, the importance of a node and the propagation of …