Literature DB >> 18163774

Multiscale vulnerability of complex networks.

Stefano Boccaletti1, Javier Buldú, Regino Criado, Julio Flores, Vito Latora, Javier Pello, Miguel Romance.   

Abstract

We present a novel approach to quantify the vulnerability of a complex network, i.e., the capacity of a graph to maintain its functional performance under random damages or malicious attacks. The proposed measure represents a multiscale evaluation of vulnerability, and makes use of combined powers of the links' betweenness. We show that the proposed approach is able to properly describe some cases for which earlier measures of vulnerability fail. The relevant applications of our method for technological network design are outlined.

Mesh:

Year:  2007        PMID: 18163774     DOI: 10.1063/1.2801687

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  A new mutually reinforcing network node and link ranking algorithm.

Authors:  Zhenghua Wang; Leonardo Dueñas-Osorio; Jamie E Padgett
Journal:  Sci Rep       Date:  2015-10-23       Impact factor: 4.379

2.  Topological Vulnerability Evaluation Model Based on Fractal Dimension of Complex Networks.

Authors:  Li Gou; Bo Wei; Rehan Sadiq; Yong Sadiq; Yong Deng
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

  2 in total

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