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85039588778
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Rigorously speaking, to study the resilience of the giant connected components to random damage, one has to consider networks with randomly deleted vertices or edges (see Refs. 7 8). Nevertheless, the divergence of the moments of the undamaged network already indicates its anomalous resilience, since it cannot be removed by random damage 7 8
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Rigorously speaking, to study the resilience of the giant connected components to random damage, one has to consider networks with randomly deleted vertices or edges (see Refs. 78). Nevertheless, the divergence of the moments of the undamaged network already indicates its anomalous resilience, since it cannot be removed by random damage 78.
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85039597578
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Note that even if the average degree z is large, the size W of the GWCC, in principle, may subsequently deviate from (Formula presented). One can easily check this using, e.g., degree distributions similar to the distributions considered above. The Poisson distribution with large z produces extremely small values (Formula presented) since there are few dead ends in this case
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Note that even if the average degree z is large, the size W of the GWCC, in principle, may subsequently deviate from (Formula presented). One can easily check this using, e.g., degree distributions similar to the distributions considered above. The Poisson distribution with large z produces extremely small values (Formula presented) since there are few dead ends in this case.
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