Artículo
Information theory perspective on network robustness
Schieber, Tiago A.; Carpi, Laura; Frery, Alejandro César; Rosso, Osvaldo Aníbal
; Pardalos, Panos M.; Ravetti, Martín G.
Fecha de publicación:
01/2016
Editorial:
Elsevier Science
Revista:
Physics Letters A
ISSN:
0375-9601
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
A crucial challenge in network theory is the study of the robustness of a network when facing a sequence of failures. In this work, we propose a dynamical definition of network robustness based on Information Theory, that considers measurements of the structural changes caused by failures of the network's components. Failures are defined here as a temporal process defined in a sequence. Robustness is then evaluated by measuring dissimilarities between topologies after each time step of the sequence, providing a dynamical information about the topological damage. We thoroughly analyze the efficiency of the method in capturing small perturbations by considering different probability distributions on networks. In particular, we find that distributions based on distances are more consistent in capturing network structural deviations, as better reflect the consequences of the failures. Theoretical examples and real networks are used to study the performance of this methodology.
Palabras clave:
Network Robustness
,
Complex Networks
,
Information Theory
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Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Schieber, Tiago A.; Carpi, Laura; Frery, Alejandro César; Rosso, Osvaldo Aníbal; Pardalos, Panos M.; et al.; Information theory perspective on network robustness; Elsevier Science; Physics Letters A; 380; 3; 1-2016; 359-364
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