Epidemiological Network — Heterogeneous Mixing

SIR dynamics on contact networks with degree heterogeneity and super-spreaders

Nodes N70
R₀ (basic reproduction)2.0
Recovery rate γ0.20
Network heterogeneity0.50

Epidemic State

S (Susceptible)
I (Infected)
R (Recovered)
Attack rate
R_eff
t0

On heterogeneous contact networks, epidemic threshold R₀* = ⟨k⟩/⟨k²−k⟩ · β/γ. For scale-free networks (Barabási-Albert), ⟨k²⟩→∞ makes the threshold vanish — any R₀>0 causes epidemics (Pastor-Satorras & Vespignani 2001). Super-spreader nodes (high degree) transmit disproportionately; targeted vaccination of these nodes is far more efficient than random vaccination. Heterogeneity parameter controls degree variance from Poisson (homogeneous) to power-law (scale-free).