Growing Network Fitness Model

Bianconi-Barabási: each node has fitness η. New nodes attach with probability ∝ η_i·k_i. Broad fitness distributions cause "Bose-Einstein condensation" — one node captures a finite fraction of all links.

Fitness distribution:

Power law exponent α: 2.5

m (edges per new node): 2

Growth speed: 3 nodes/frame

Nodes: 0

Top node degree: 0

Top fitness: —

Condensation: —

k_max/⟨k⟩ = —

Condensation: k_max/total_k → finite fraction
Critical fitness dist (Bose analogy):
Σ ρ(η)/(μ-η) diverges → condensate

Degree distribution — condensation shows bump at high k