Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Model for cascading failures in complex networks.

Paolo Crucitti1, Vito Latora, Massimo Marchiori

  • 1Scuola Superiore di Catania, Via S. Paolo 73, 95123 Catania, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 1, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Modeling the Spread of Misfolded Proteins in Alzheimer's Disease using Higher-Order Simplicial Complex Contagion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

The networks of ingredient combinations as culinary fingerprints of world cuisines.

NPJ science of food·2025
Same author

Drivers of cooperation in social dilemmas on higher-order networks.

Journal of the Royal Society, Interface·2025
Same author

Resilience of science after austerity.

PNAS nexus·2025
Same author

Hyperedge overlap drives synchronizability of systems with higher-order interactions.

Physical review. E·2025
Same author

Dynamics of price formation on complex networks.

PNAS nexus·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Cascading failures in infrastructure networks can be triggered by small shocks. A single critical node failure can collapse the entire system, especially in networks like the Internet and power grids.

Area of Science:

  • Network science
  • Systems engineering
  • Complex systems

Background:

  • Infrastructure networks are vulnerable to large cascading failures from small initial disturbances.
  • Understanding these failures is crucial for maintaining system stability and efficiency.

Purpose of the Study:

  • To present a simple model for cascading failures in infrastructure networks.
  • To identify critical nodes whose failure can lead to system collapse.

Main Methods:

  • Developed a model based on the dynamical redistribution of flow on a network.
  • Analyzed the impact of single node breakdown on system efficiency.

Main Results:

  • A single node breakdown is sufficient to collapse system efficiency if the node has the largest load.

Related Experiment Videos

  • This finding is particularly relevant for heterogeneous networks like the Internet and power grids.
  • Conclusions:

    • Highly heterogeneous networks are susceptible to cascading failures due to critical high-load nodes.
    • Targeting or protecting these critical nodes is essential for network resilience.