Complex networks: The fragility of interdependency
By Alessandro Vespignani. Nature, 2010
539 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/77a1d35afb89bccc8f119a8f6431291266d2593a
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In Civil and Structural Engineering
In Statistical and Nonlinear Physics
- Zhen Wang
- Stefano Boccaletti
- Irene Sendiña-Nadal
- Jesús Gómez-Gardeñes
- L. Beauguitte
- Massimiliano Zanin
- C. D. Genio
- Cesar Ducruet
Citations in the corpus
- The structure and dynamics of multilayer networks (2014, background): “When two or more networks are interdependent, a fraction of node failures in one layer can trigger a cascade of failures that propagate in the multilayer network (as it was the case, for instance of the 2003 blackout in Italy [25]), and this is indicative of an increasing fragility of these structur”
- A quantitative method for assessing resilience of interdependent infrastructures (2017, background): “Even though not preventable, these damages may be minimized, if the capabilities of both direct and indirect affected infrastructures are strengthened and effects of interdependencies are recognized [6-8].”
- The Emergence of Global Systemic Risk (2015, background): “…research and policy regarding critical infrastructures have dealt largely with single systems such as telecommunications or transport, even though the interaction between differently located failures may have still greater implications (Buldyrev et al. 2010, Rosato et al. 2008, Vespignani 2010).”
- Spatial Science and Network Science: Review and Outcomes of a Complex Relationship (2014, background): “This application on air and sea global networks notably contributed to the fastgrowing research field of coupled infrastructure networks developed in recent years (see Vespignani, 2010).”
- Network diversity and maritime flows (2013, background): “One main finding is that the vulnerability of the coupled network is higher when the simple graphs are coupled via their large degree nodes, i.e. those having a high number of links or adjacent neighbors, but remains lower if the coupling occurs randomly (see also Vespignani, 2010).”