NullNet

class NullNet(n_people=None, **kwargs)

Bases: Network

A convenience class for a network of size n that only has self-connections with a weight of 0. This network can be useful for debugging purposes or as a placeholder network during development for conditions that require more complex network mechanisms.

Guarantees there’s one (1) contact per agent (themselves), and that their connection weight is zero.

For an empty network (ie, no edges) use >> import starsim as ss >> import networkx as nx >> empty_net_static = ss.StaticNet(nx.empty_graph) >> empty_net_rand = ss.RandomNet(n_contacts=0)

Attributes

beta	Relative transmission on each network edge
members	Return sorted array of all members
now	Return the current time, i.e. the time vector at the current timestep.
p1	The first half of a network edge (person 1)
p2	The second half of a network edge (person 2)
states	Return a flat list of all states
statesdict	Return a flat dictionary (objdict) of all states

Methods