SHADOW-EXP-017: Validating the "Universal Physics" of network failure. Comparing Neural Seizures (Biology) vs. Bank Runs (Finance) using the Kuramoto Order Parameter.
ID: SHADOW-EXP-017
Phase Transition Analysis
Comparing Synchronization (Order Parameter R) vs. Coupling Strength (K)
Neural Seizure (Bio)
Bank Run (Fin)
Biological Insight
In the brain, the "Small-World" topology resists synchronization at low coupling. However, once K > 3.5, the network snaps into a seizure state (R > 0.2).
Financial Insight
The "Scale-Free" financial network is much more fragile. The "Hub" banks force synchronization earlier (K > 1.5), leading to a steeper crash curve.
HIGHER SYSTEMIC RISK
Continue the Journey
We can detect risks. Now let's see if the AI can invent new ways to attack them.