Networks

Built-in network types

Random contact network with n_contacts effective contacts per agent.

net = RandomNet(n_contacts=10)

Edges are regenerated every timestep. Creates n_contacts÷2 edges per agent; transmission runs bidirectionally.

Fixed network from an Erdős-Rényi graph or custom generator.

net = StaticNet(n_contacts=6)

Heterosexual partnership network.

net = MFNet(mean_dur=5.0, participation_rate=0.5)

net = MSMNet(participation_rate=0.3)

Well-mixed (mass action) contacts.

net = MixingPool(contact_rate=10.0)

Mother-child network for vertical transmission. Managed by the Pregnancy module.

Convert edges to a Graphs.jl graph for analysis:

g = to_graph(network_edges(net))
deg = degree(g)
components = connected_components(g)

Get a sparse adjacency matrix:

A = to_adjacency_matrix(network_edges(net); weighted=true)