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Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network

Fig 5

Recovery from simulated natural and man-made hazards.

A. Recovery curves after the simulated tsunami are displayed. As a baseline, the gray shaded interval represents the 99% bounds of N = 1000 randomly generated recovery sequences. At each step, the 99% bounds are the 5th and 995th largest SCF values from the N = 1000 member ensemble. The SCF begins at 0.903. B. The same as A is displayed but for the simulated cyber-physical attack. Here, the SCF begins at 0.852. C. The same as A is displayed but for the simulated power grid failure cascade. Here the SCF begins at 0.890. D. For the tsunami, at each step of the recovery curve, the percentage of ensemble members that a given metric is larger than in terms of SCF is plotted. This is repeated for each metric (connectivity, traffic volume, betweenness centrality, Eigenvector centrality, and closeness centrality). E. The same as D but for the cyber-physical attack recovery curve. F. The same as D but for the power grid failure cascade. In D-F, in some cases, lines overlap each other; when this is the case, one line is thicker than the other to enable visibility of both.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0141890.g005