🌐 Network Stratification (34 Nodes)
graph TD
A["🧭 Explorers
8 nodes
φ=1.60-1.75
23.5% Density"] --> B["⚔️ Challengers
8 nodes
φ=1.76-1.85
23.5% Density"]
B --> C["🧩 Strategists
8 nodes
φ=1.86-1.92
23.5% Density"]
C --> D["🎛️ Orchestrators
10 nodes
φ=1.93-1.95
29.4% Density"]
D --> E["φ-FLOW=1.880
75.6th Percentile
Safety: 1.4%"]
style A fill:#001F3F,color:#fff,stroke:#3b82f6,stroke-width:3px
style B fill:#0072B2,color:#fff,stroke:#3b82f6,stroke-width:3px
style C fill:#009E73,color:#fff,stroke:#3b82f6,stroke-width:3px
style D fill:#CC79A7,color:#fff,stroke:#FFD700,stroke-width:4px
style E fill:#3b82f6,color:#fff,stroke:#22c55e,stroke-width:5px
💻 Core Node Generation
import random
random.seed(42)
node_configs = {
"Explorer": (1.60, 1.75),
"Challenger": (1.76, 1.85),
"Strategist": (1.86, 1.92),
"Orchestrator": (1.93, 1.95)
}
nodes = []
for role, (phi_min, phi_max) in node_configs.items():
count = 8 if role != "Orchestrator" else 10
for _ in range(count):
nodes.append({
"role": role,
"phi": round(random.uniform(phi_min, phi_max), 3)
})
phi_flow = round(sum(n["phi"] for n in nodes) / len(nodes), 3)
print(f"φ-FLOW: {phi_flow}") # 1.880 ✓