A survey on frameworks used for robustness analysis on interdependent networks
Author
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Bachmann Espinoza, Ivana
Author
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Bustos Jiménez, Javier
Author
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Bustos Cárdenas, Benjamín
Admission date
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2020-06-08T22:41:44Z
Available date
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2020-06-08T22:41:44Z
Publication date
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2020
Cita de ítem
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Complexity (2020): Article ID 2363514
es_ES
Identifier
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10.1155/2020/2363514
Identifier
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https://repositorio.uchile.cl/handle/2250/175309
Abstract
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The analysis of network robustness tackles the problem of studying how a complex network behaves under adverse scenarios, such as failures or attacks. In particular, the analysis of interdependent networks' robustness focuses on the specific case of the robustness of interacting networks and their emerging behaviors. This survey systematically reviews literature of frameworks that analyze the robustness of interdependent networks published between 2005 and 2017. This review shows that there exists a broad range of interdependent network models, robustness metrics, and studies that can be used to understand the behaviour of different systems under failure or attack. Regarding models, we found that there is a focus on systems where a node in one layer interacts with exactly one node at another layer. In studies, we observed a focus on the network percolation. While among the metrics, we observed a focus on measures that count network elements. Finally, for the networks used to test the frameworks, we found that the focus was on synthetic models, rather than analysis of real network systems. This review suggests opportunities in network research, such as the study of robustness on interdependent networks with multiple interactions and/or spatially embedded networks, and the use of interdependent network models in realistic network scenarios.
es_ES
Patrocinador
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Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
21170165
Millennium Institute for Foundational Research on Data (IMFD)