Example¶
In the code below is shown an example of instantiation and execution of an ARWHK model simulation on a random graph: we assign an epsilon value of 0.32, the percentage of stubborness equal 0.2, the distribution of stubborness equal 0 and a weight equal 0.2 to all the edges.
import networkx as nx
import ndlib.models.ModelConfig as mc
import ndlib.models.opinions as opn
# Network topology
g = nx.erdos_renyi_graph(1000, 0.1)
# Model selection
model = opn.ARWHKModel(g)
# Model Configuration
config = mc.Configuration()
config.add_model_parameter("epsilon", 0.32)
config.add_model_parameter("perc_stubborness", 0.2)
config.add_model_parameter("option_for_stubbornness", 0)
config.add_model_parameter("method_variant", 2)
# Setting the edge parameters
weight = 0.2
if isinstance(g, nx.Graph):
edges = g.edges
else:
edges = [(g.vs[e.tuple[0]]['name'], g.vs[e.tuple[1]]['name']) for e in g.es]
for e in edges:
config.add_edge_configuration("weight", e, weight)
model.set_initial_status(config)
# Simulation execution
iterations = model.iteration_bunch(20)
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