A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks
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 e...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/2363514 |
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| author | Ivana Bachmann Javier Bustos-Jiménez Benjamin Bustos |
| author_facet | Ivana Bachmann Javier Bustos-Jiménez Benjamin Bustos |
| author_sort | Ivana Bachmann |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cababa4396f84614828defc79d1e281a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-cababa4396f84614828defc79d1e281a2025-02-03T00:59:42ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/23635142363514A Survey on Frameworks Used for Robustness Analysis on Interdependent NetworksIvana Bachmann0Javier Bustos-Jiménez1Benjamin Bustos2Niclabs, University of Chile, Blanco Encalada 1975, 8370403 Santiago, ChileNiclabs, University of Chile, Blanco Encalada 1975, 8370403 Santiago, ChileMillennium Institute for Foundational Research on Data (IMFD), Department of Computer Science, University of Chile, 8370456 Santiago, ChileThe 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.http://dx.doi.org/10.1155/2020/2363514 |
| spellingShingle | Ivana Bachmann Javier Bustos-Jiménez Benjamin Bustos A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks Complexity |
| title | A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks |
| title_full | A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks |
| title_fullStr | A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks |
| title_full_unstemmed | A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks |
| title_short | A Survey on Frameworks Used for Robustness Analysis on Interdependent Networks |
| title_sort | survey on frameworks used for robustness analysis on interdependent networks |
| url | http://dx.doi.org/10.1155/2020/2363514 |
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