Catastrophic cascade of failures in interdependent networks¶
Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S. (2010). Catastrophic cascade of failures in interdependent networks. Nature, 464(7291), 1025-1028.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Complexity
- Critical infrastructure (power grids, financial networks, supply chains) exhibits hidden interdependencies; local disruptions can cascade globally if systems are tightly coupled
This sourceFailure of a small fraction of nodes in one network can fragment a system of interdependent networks; tightly coupled networks amplify disruption — supports the critical-infrastructure cascade claim at D26-081. Verified existing and supporting.
- Critical infrastructure (power grids, financial networks, supply chains) exhibits hidden interdependencies; local disruptions can cascade globally if systems are tightly coupled
- Teleconnection
- The cascade structure traced here is exactly the catastrophic-failure topology Buldyrev, Parshani, Paul, Stanley, and Havlin (2010) identified in interdependent networks, where coupling through shared infrastructure converts local faults into system-wide collapse.
This sourceDemonstrates how coupling between networks through shared dependencies produces system-wide cascades from local faults; structural backbone for software-service-degradation cascade as a teleconnection.
- The cascade structure traced here is exactly the catastrophic-failure topology Buldyrev, Parshani, Paul, Stanley, and Havlin (2010) identified in interdependent networks, where coupling through shared infrastructure converts local faults into system-wide collapse.
Mechanisms¶
- Dependency Network Graph
- A shared node that couples two supposedly independent networks is exactly what single-network intuition misses.
This sourceIt is the formal warning behind this mechanism's insistence on drawing cross-domain edges.
- A shared node that couples two supposedly independent networks is exactly what single-network intuition misses.
Verification¶
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