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Manzano Castro, Marc
Sahneh, Faryad Scoglio, Caterina Calle Ortega, Eusebi Marzo i Lázaro, Josep LluÃs |
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2020 February 15 | |
Despite the robustness of complex networks has been extensively studied in the last decade, there still lacks a unifying framework able to embrace all the proposed metrics. In the literature there are two open issues related to this gap: (a) how to dimension several metrics to allow their summation and (b) how to weight each of the metrics. In this work we propose a solution for the two aforementioned problems by defining the R*-value and introducing the concept of robustness surface (V). The rationale of our proposal is to make use of Principal Component Analysis (PCA). We firstly adjust to 1 the initial robustness of a network. Secondly, we find the most informative robustness metric under a specific failure scenario. Then, we repeat the process for several percentage of failures and different realizations of the failure process. Lastly, we join these values to form the robustness surface, which allows the visual assessment of network robustness variability. Results show that a network presents different robustness surfaces (i.e., dissimilar shapes) depending on the failure scenario and the set of metrics. In addition, the robustness surface allows the robustness of different networks to be compared | |
http://hdl.handle.net/2072/372556 | |
eng | |
Nature Publishing Group | |
Attribution-NonCommercial-NoDerivs 4.0 Spain | |
http://creativecommons.org/licenses/by-nc-nd/4.0/es/ | |
Ordinadors, Xarxes d’ -- Avaluació
Computer networks -- Evaluation Control de robustesa Robust control Telecomunicació, Sistemes de Telecommunication systems |
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Robustness surfaces of complex networks | |
info:eu-repo/semantics/article | |
Recercat |