Data and code for "Beyond node criticality: Drivers and attribution boundaries of propagated loss in interdependent infrastructure"
Description
This dataset contains the data and code supporting the article “Beyond node criticality: Drivers and attribution boundaries of propagated loss in interdependent infrastructure.” The study examines why initial failure sets of similar size generate different propagated losses in interdependent infrastructure systems. The deposit includes a synthetic four-layer communication–computing–energy–service model, the Extended Shelby County power–water–gas–telecommunication benchmark, deterministic simulation code, run-level and aggregated outputs, predictor-comparison and matched-pair analyses, high-propagation screening results, component-protection experiments, spatial-risk analyses, Monte Carlo convergence checks, paired AUC bootstrap comparisons, propagation-parameter envelopes, overload-mechanism crossover results, and the local Shelby County reciprocal-dependency mechanism analysis.
Files
Institutions
- Guangzhou UniversityGuangdong, Guangzhou