IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v187y2024ics0960077924009354.html
   My bibliography  Save this article

Analytical results on local resilience and a composed resilience proposal for complex networks

Author

Listed:
  • Casablanca, Rocío M.
  • Criado, Regino
  • Mesa, Juan A.
  • Romance, Miguel

Abstract

The term resilience has become a relevant research topic in last years due to the interest of being applied to different fields and to many types of complex networks. A recently published paper proposed a theoretical and mathematical framework for a concept of local and discrete resilience, from a system performance recovery point of view. This paper deepens on this definition and provides bounds and exact values for the local resilience of some classes of networks. In addition, a new measure is defined, the composed resilience, which allows to study and compare networks from a general point of view. Several computational experiments are presented for this new parameter in different types of synthetic and real networks, providing a general measure for the resilience in complex networks.

Suggested Citation

  • Casablanca, Rocío M. & Criado, Regino & Mesa, Juan A. & Romance, Miguel, 2024. "Analytical results on local resilience and a composed resilience proposal for complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924009354
    DOI: 10.1016/j.chaos.2024.115383
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077924009354
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2024.115383?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Milena Oehlers & Benjamin Fabian, 2021. "Graph Metrics for Network Robustness—A Survey," Mathematics, MDPI, vol. 9(8), pages 1-48, April.
    2. Ek, Bryan & VerSchneider, Caitlin & Narayan, Darren A., 2013. "Efficiency of star-like graphs and the Atlanta subway network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5481-5489.
    3. Cox, Andrew & Prager, Fynnwin & Rose, Adam, 2011. "Transportation security and the role of resilience: A foundation for operational metrics," Transport Policy, Elsevier, vol. 18(2), pages 307-317, March.
    4. Aleja, David & Criado, Regino & García del Amo, Alejandro J. & Pérez, Ángel & Romance, Miguel, 2019. "Non-backtracking PageRank: From the classic model to hashimoto matrices," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 283-291.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yao He & Yongchun Yang & Meimei Wang & Xudong Zhang, 2022. "Resilience Analysis of Container Port Shipping Network Structure: The Case of China," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    2. Ali Shahabi & Sadigh Raissi & Kaveh Khalili-Damghani & Meysam Rafei, 2021. "Designing a resilient skip-stop schedule in rapid rail transit using a simulation-based optimization methodology," Operational Research, Springer, vol. 21(3), pages 1691-1721, September.
    3. Mo, Baichuan & Koutsopoulos, Haris N. & Zhao, Jinhua, 2022. "Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    4. Kammouh, Omar & Gardoni, Paolo & Cimellaro, Gian Paolo, 2020. "Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    5. Haritha, P.C. & Anjaneyulu, M.V.L.R., 2024. "Comparison of topological functionality-based resilience metrics using link criticality," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. MacKenzie, Cameron A. & Hu, Chao, 2019. "Decision making under uncertainty for design of resilient engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    7. Yin, Kai & Wu, Jianjun & Wang, Weiping & Lee, Der-Horng & Wei, Yun, 2023. "An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Sakano, R. & Obeng, K. & Fuller, K., 2016. "Airport security and screening satisfaction: A case study of U.S," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 129-138.
    9. Yan Shi & Shumiao Jin & Klaus Seeland, 2015. "Modeling business interruption impacts due to disrupted highway network of Shifang by the Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1731-1745, January.
    10. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    11. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    13. Prager, Fynnwin & Rhoads, Mohja & Martínez, Jose N., 2022. "The COVID-19 economic shutdown and the future of flexible workplace practices in the South Bay region of Los Angeles County," Transport Policy, Elsevier, vol. 125(C), pages 241-255.
    14. D’Lima, Minette & Medda, Francesca, 2015. "A new measure of resilience: An application to the London Underground," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 35-46.
    15. Li, Zhaolong & Jin, Chun & Hu, Pan & Wang, Cong, 2019. "Resilience-based transportation network recovery strategy during emergency recovery phase under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 503-514.
    16. Roger Arnau & José M. Calabuig & Luis M. García-Raffi & Enrique A. Sánchez Pérez & Sergi Sanjuan, 2024. "A Bellman–Ford Algorithm for the Path-Length-Weighted Distance in Graphs," Mathematics, MDPI, vol. 12(16), pages 1-16, August.
    17. Chen, Zhenhua & Rose, Adam Z. & Prager, Fynnwin & Chatterjee, Samrat, 2017. "Economic consequences of aviation system disruptions: A reduced-form computable general equilibrium analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 207-226.
    18. Anna Rita Manca & Peter Benczur & Enrico Giovannini, 2017. "Building a Scientific Narrative Towards a More Resilient EU Society. Part 1: a Conceptual Framework," JRC Research Reports JRC106265, Joint Research Centre.
    19. Chen, Hong & Lam, Jasmine Siu Lee & Liu, Nan, 2018. "Strategic investment in enhancing port–hinterland container transportation network resilience: A network game theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 83-112.
    20. Hui Xu & Liudan Jiao & Shulin Chen & Milan Deng & Ningxin Shen, 2018. "An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-17, July.

    More about this item

    Keywords

    Complex networks; Resilience;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924009354. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.