In the code below is shown an example of instantiation and execution of an SIS simulation on a random graph: we set the initial set of infected nodes as 5% of the overall population, a probability of infection of 1%, and a probability of recovery of 0.5%.

import networkx as nx
import ndlib.models.ModelConfig as mc
import ndlib.models.epidemics.SISModel as sis

# Network topology
g = nx.erdos_renyi_graph(1000, 0.1)

# Model selection
model = sis.SISModel(g)

# Model Configuration
cfg = mc.Configuration()
cfg.add_model_parameter('beta', 0.01)
cfg.add_model_parameter('lambda', 0.005)
cfg.add_model_parameter("percentage_infected", 0.05)
model.set_initial_status(cfg)

# Simulation execution
iterations = model.iteration_bunch(200)