Abstract
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.
Highlights
A Survey on Frameworks Used for Robustness Analysis on Interdependent NetworksReceived 21 August 2019; Revised 10 November 2019; Accepted 19 December 2019; Published 29 April 2020
To ensure the proper functioning of networks, such as communication networks, electric networks, and transportation networks, we need to have complete knowledge about how these networks work, what their vulnerabilities are, and how these vulnerabilities can be corrected
Real-world networks do not exist in isolation, but rather interact with other networks. is can be seen on power grid networks interacting with their control network [1], transportation networks where the bus network interacts with the subway network [2], interdependent cyber-physical supply chain networks [3], etc. us, to study interactions between different network systems is of special interest, as network vulnerabilities depend on the interactions that the network studied has with other systems, and these dependencies can induce new vulnerabilities not present in single networks
Summary
Received 21 August 2019; Revised 10 November 2019; Accepted 19 December 2019; Published 29 April 2020. E analysis of network robustness tackles the problem of studying how a complex network behaves under adverse scenarios, such as failures or attacks. Is survey systematically reviews literature of frameworks that analyze the robustness of interdependent networks published between 2005 and 2017. Is 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. For the networks used to test the frameworks, we found that the focus was on synthetic models, rather than analysis of real network systems. Is 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 For the networks used to test the frameworks, we found that the focus was on synthetic models, rather than analysis of real network systems. is 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
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