Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/50945
Type: Artigo de Periódico
Title: Information theory perspective on network robustness
Authors: Tiago A. Schieber
Laura Carpi
Alejandro C. Frery
Osvaldo A. Rosso
Panos M. Pardalos
Martín G. Ravetti
Abstract: 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.
Subject: Teoria da informação
language: por
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: FCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS
ICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
Rights: Acesso Aberto
metadata.dc.identifier.doi: 10.1016/j.physleta.2015.10.055
URI: http://hdl.handle.net/1843/50945
Issue Date: 2016
metadata.dc.url.externa: https://reader.elsevier.com/reader/sd/pii/S0375960115009275?token=946CB1931BC133FB87866F89313839B184BE38FF75F1C83A1E2E32137EEDF7786B796F27E26C465BE6C3DE596204A93D&originRegion=us-east-1&originCreation=20230316115909
metadata.dc.relation.ispartof: Physics Letters A
Appears in Collections:Artigo de Periódico

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