IDEAS home Printed from https://ideas.repec.org/a/ids/ijcist/v3y2007i3-4p488-508.html
   My bibliography  Save this article

From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures

Author

Listed:
  • E. Zio

Abstract

Modern societies are increasingly dependent on the availability, reliability, safety and security of critical infrastructures such as energy, water supply, transportation, information and telecommunication networks. The analysis of such systems seems to require a change towards a holistic framework capturing the properties which emerge from the complexity of the relationships among the system elements. In this paper, the modern view of Complexity Science is embraced to introduce innovative measures of the reliability performance of a network system. These are termed reliability efficiencies and are intended to measure the global and local robustness of the network to faults of its components.

Suggested Citation

  • E. Zio, 2007. "From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 3(3/4), pages 488-508.
    • Handle: RePEc:ids:ijcist:v:3:y:2007:i:3/4:p:488-508
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=14122
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zohre Alipour & Mohammad Ali Saniee Monfared & Enrico Zio, 2014. "Comparing topological and reliability-based vulnerability analysis of Iran power transmission network," Journal of Risk and Reliability, , vol. 228(2), pages 139-151, April.
    2. Zio, Enrico & Piccinelli, Roberta, 2010. "Randomized flow model and centrality measure for electrical power transmission network analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 379-385.
    3. Burgherr, Peter & Eckle, Petrissa & Hirschberg, Stefan, 2012. "Comparative assessment of severe accident risks in the coal, oil and natural gas chains," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 97-103.
    4. Fang, Chao & Marle, Franck & Zio, Enrico & Bocquet, Jean-Claude, 2012. "Network theory-based analysis of risk interactions in large engineering projects," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 1-10.
    5. Cadini, F. & Zio, E. & Petrescu, C.A., 2010. "Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 173-181.
    6. Zio, E. & Golea, L.R., 2012. "Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 67-74.
    7. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    8. Fang, Yi-Ping & Zio, Enrico, 2013. "Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 64-74.
    9. Bukowski, L., 2016. "System of systems dependability – Theoretical models and applications examples," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 76-92.
    10. Compare, Michele & Bellani, Luca & Zio, Enrico, 2019. "Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 164-180.
    11. C M Rocco & J E Ramirez-Marquez & D E Salazar & I Hernandez, 2010. "Implementation of multi-objective optimization for vulnerability analysis of complex networks," Journal of Risk and Reliability, , vol. 224(2), pages 87-95, June.
    12. Rocco S., Claudio M. & Ramirez-Marquez, José Emmanuel, 2011. "Vulnerability metrics and analysis for communities in complex networks," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1360-1366.
    13. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    14. Williams, James Bryan, 2021. "Critical flow centrality measures on interdependent networks with time-varying demands," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    15. La Rovere, Stefano & Vestrucci, Paolo, 2012. "Investigation of the structure of a networked system," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 214-223.
    16. Zio, Enrico & Piccinelli, Roberta & Delfanti, Maurizio & Olivieri, Valeria & Pozzi, Mauro, 2012. "Application of the load flow and random flow models for the analysis of power transmission networks," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 102-109.
    17. Di Maio, Francesco & Pettorossi, Chiara & Zio, Enrico, 2023. "Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    18. Colin Turner, 2018. "The governance of polycentric national infrastructure systems: Evidence from the UK National Infrastructure Plan," Environment and Planning C, , vol. 36(3), pages 513-529, May.
    19. F Cadini & E Zio & L R Golea & C A Petrescu, 2011. "Application of multi-objective genetic algorithms to two case studies of reliability efficiency analysis and optimal expansion of electrical transmission networks," Journal of Risk and Reliability, , vol. 225(3), pages 365-374, September.
    20. Eusgeld, Irene & Kröger, Wolfgang & Sansavini, Giovanni & Schläpfer, Markus & Zio, Enrico, 2009. "The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 954-963.

    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:ids:ijcist:v:3:y:2007:i:3/4:p:488-508. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=58 .

    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.