Spatio-temporal infrastructure networks

Louis M. Shekhtman, Shlomo Havlin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Many infrastructure systems can be modeled as networks, where a set of nodes is connected via some edges. Such a formulation allows us to consider the resilience properties of the network including its ability to maintain connectivity under some level of failures. Here we present a review on prior and recent results about such resilience properties We consider the general connectivity patterns of basic networks and review applications to specific systems like traffic, climate, and physiology. We also present results on the possibility of repairing a network after some failures. Next, we present results on interdependent networks, where one network depends on another for some resource. A typical example is a communications network depending on a power grid (and vice versa). Interdependent networks are often characterized by abrupt transitions where a cascade leads the network to collapse suddenly. We review possible methods of preventing these cascades such as reducing the level of interdependence, reinforcing some nodes, and other methods. Finally, we show how spatially embedded networks have unique properties such as extreme vulnerability in interdependent networks, metastable properties under localized attacks, and cascades under overload failures. Overall the results here provide possible methods and understanding of how to improve the resilience of modern critical infrastructure.

Original languageEnglish
Title of host publicationProceedings of the International School of Physics "Enrico Fermi" on Computational Social Science and Complex Systems
EditorsJanos Kertesz, Rosario Nunzio Mantegna, Salvatore Micciche
PublisherIOS Press
Number of pages20
ISBN (Electronic)9781643680361
StatePublished - 12 Nov 2019
Event2018 International School of Physics �Enrico Fermi� on Computational Social Science and Complex Systems - Varenna, Italy
Duration: 16 Jul 201821 Jul 2018

Publication series

NameProceedings of the International School of Physics "Enrico Fermi"
ISSN (Print)0074-784X
ISSN (Electronic)1879-8195


Conference2018 International School of Physics �Enrico Fermi� on Computational Social Science and Complex Systems

Bibliographical note

Publisher Copyright:
© Società Italiana di Fisica.


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