Networks & contagion

▸ Building the graph · seeding nodes & edges…

▸ Loading the SIR model (susceptible · infected · recovered)

▸ Implanting patient zero

▸ Calibrating β (infect) & γ (recover)

▸ Letting the epidemic spread along the network…

▸ Ready — Online. ✅

Epidemic state

🕸️ Mạng

current S · I · R ratio

Nodes—

% susceptible (S)—

% infected (I)—

% recovered (R)—

R₀ = β / γ—

Average degree—

The idea

No node "controls" the epidemic — each node only infects a few neighbours of its own. Whether the epidemic flares large or fizzles emerges from the network structure & the two numbers β, γ.

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Node color = state (susceptible · infected · recovered) · big node = many connections · click a node to infect it

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Epidemic curve — S / I / R over time susceptibleinfectedrecovered