contact_networks#

This module generates the household, school, and workplace contact networks.

Functions

`compute_layer_degree_description`	Compute a description of the statistics for the degree distribution by age for a layer in the population contact network.
`count_layer_degree`	Create a dataframe from the population of people in the layer, including their uid, age, degree, and the ages of contacts in the layer.
`create_reduced_contacts_with_group_types`	Create contacts between members of group 1 and group 2, fixing the average degree, and the probability of an edge between any two groups controlled by p_matrix if provided.
`filter_people`	Helper function to filter people based on their uid and age.
`get_contact_counts_by_layer`	Method to count the number of contacts for individuals in the population based on their role in a layer and the role of their contacts.
`get_expected_density`	Calculate the expected density of an undirected graph with no self-loops given graph properties.
`make_contacts`	From microstructure objects (dictionary mapping ID to age, lists of lists in different settings, etc.), create a dictionary of individuals.
`random_graph_model`	Generate edges for a group of individuals given their ids from an Erdos-Renyi random graph model given the expected average degree.