Scale-Free Network — Fitness Preferential Attachment
Bianconi-Barabási fitness model: P(k) ~ k^(-γ), fitness η determines winners
Network Growth
Target nodes:
120
New edges m:
2
Fitness weight α:
0.5
Fitness distribution:
Uniform [0,1]
Exponential
Power law
Grow
Reset
Bianconi-Barabási (2001):
P(attach to i) ∝ η_i^α · k_i
α=0: pure preferential attach
α=1: fitness dominates
"Fit get rich" effect
γ ≈ 2.5 + f(fitness dist.)
Nodes:
0
Edges:
0
Max degree:
0
Power law γ:
—
Top fitness node:
—