Early Warning System
Discover how infrastructure networks naturally evolve to critical states where small operational changes trigger massive cascading failures
Powered by the Self-Organized Criticality Model
Step 1: Choose Infrastructure Network
🛩️ Hub-and-Spoke Airlines
Major hubs like Atlanta and Chicago concentrate most traffic. Highly efficient but vulnerable to cascade failures when key hubs fail.
✈️ Point-to-Point Regional
Distributed connections avoid major hubs. More resilient to individual failures but can still experience regional cascades.
🌐 Fragmented Regional
Multiple isolated regional clusters with minimal cross-connections. Most resilient to system-wide cascades.
SOC Simulation Running
Analysis Dashboard
Advanced cascade failure analysis including conditional probabilities and sequence patterns.
Most Critical Infrastructure Nodes
These nodes have the highest risk of triggering or participating in cascade failures. Monitor these closely for early warning signs.
Most Cascade-Prone Nodes
Nodes frequently involved in cascading failure events.
Most Avalanche-Triggering Nodes
Nodes that most frequently initiate cascading failures.
Most Dangerous Failure Sequences
P(Node B fails | Node A just failed) - Highest conditional probabilities
Most Frequent Transitions
Failure transitions observed most often during simulation
Hub-Specific Failure Impact Analysis
When major hubs fail, which airports are most likely to experience secondary failures?
Highest Outgoing Risk
Nodes most likely to trigger failures in other nodes
Highest Incoming Risk
Nodes most vulnerable to secondary failures