Recent Progress on the Resilience of Complex Networks
Interdependent networks
Resilience
Percolation (cognitive psychology)
Cascading failure
Complex system
Vulnerability
Percolation Theory
Evolving networks
Preferential attachment
Network theory
Network Dynamics
DOI:
10.3390/en81012187
Publication Date:
2015-10-27T21:23:21Z
AUTHORS (4)
ABSTRACT
Many complex systems in the real world can be modeled as networks, which has captured recent years enormous attention from researchers of diverse fields ranging natural sciences to engineering. The extinction species ecosystems and blackouts power girds engineering exhibit vulnerability investigated by empirical data analyzed theoretical models. For studying resilience three main factors should focused on: network structure, dynamics failure mechanism. In this review, we will introduce progress on networks based these aspects. increasing evidence shows that biological ecological are coupled with each other critical infrastructures interact other, triggering a new research hotspot “networks networks” (NON), where is formed interdependent or interconnected networks. deeply influenced its interdependence predicted percolation theory. This review paper analytic framework for Energies 2015, 8 12188 NON yields novel laws n also theory single studied extensively physics mathematics last 60 specific limited case more general interacting Due spatial constraints inherent infrastructures, including gird, study spatially-embedded exhibiting extreme vulnerabilities compared their non-embedded counterparts, especially localized attack. dynamics, illustrate methods using an example transportation system, analysis significantly different structural static analysis. mechanism, here spontaneous recovery after collapse. These findings help us understand, realize hopefully mitigate risk
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