2022
DOI: 10.1038/s41567-021-01474-y
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Reviving a failed network through microscopic interventions

Abstract: From mass extinction to cell death, complex networked systems often exhibit abrupt dynamic transitions between desirable and undesirable states. Such transitions are often caused by topological perturbations, such as node or link removal, or decreasing link strengths. The problem is that reversing the topological damage, namely retrieving the lost nodes/links or reinforcing the weakened interactions, does not guarantee the spontaneous recovery to the desired functional state. Indeed, many of the relevant syste… Show more

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Cited by 45 publications
(23 citation statements)
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“…The net information spillover matrix for all series in a scale is mapped into an information spillover network based on network theory [ 26 , 27 , 28 , 29 ], where the node is the oil series and the weighted directed edge is the net information spillover from one series to the other.…”
Section: Methodsmentioning
confidence: 99%
“…The net information spillover matrix for all series in a scale is mapped into an information spillover network based on network theory [ 26 , 27 , 28 , 29 ], where the node is the oil series and the weighted directed edge is the net information spillover from one series to the other.…”
Section: Methodsmentioning
confidence: 99%
“…In the language of networks, it corresponds to build larger GCC under a given level of failure or perturbation in percolation models. Many external interventions are developed to protect a system from collapse or to recover a failed system, such as rewiring links in a system [17], reinforcing nodes to remove abrupt collapse [18,19], introducing redundant interdependency among layers in multiplex networks [20], and activating a few nodes to revive a failed network [21]. A simple classification of these schemes is to consider whether they alter network structure or not.…”
Section: Introductionmentioning
confidence: 99%
“…The existing studies on network recovery have been mostly based on the assumption that failed system components can recover to their pre-failure levels of functioning [20], [21]. However, in practice, a repaired system component can be even more reliable than it was before the failure occurred [22], [23].…”
Section: Introductionmentioning
confidence: 99%