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. ✅
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⌂ Complex systems

Simulation room Networks & contagion

Networks
Online
SIR · no leader
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.
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