vivainsights.p2p_data_sim

Simulate a person-to-person network using the Watts-Strogatz model.

Organizational data fields are also simulated for Organization, LevelDesignation, and City data frame with the same column structure as a person-to-person flexible query. This has an edgelist structure and can be used directly as an input to network_p2p().

vivainsights.p2p_data_sim.p2p_data_sim(dim=1, size=300, nei=5, p=0.05)[source]

Simulate a person-to-person network dataset.

Generate a synthetic person-to-person edgelist using the Watts-Strogatz small-world model. Organizational attributes (Organization, LevelDesignation, City) are simulated for both primary and secondary collaborators. The output can be passed directly to network_p2p().

Parameters:

  • dim (int, default 1) – Dimension of the Watts-Strogatz lattice.

  • size (int, default 300) – Number of nodes in the network.

  • nei (int, default 5) – Number of neighbours each node is connected to in the lattice.

  • p (float, default 0.05) – Rewiring probability.

Returns:

An edgelist DataFrame with columns for person IDs, organizational attributes, and a StrongTieScore column.

Return type:

pandas.DataFrame

Examples

Generate a small simulated network:

>>> import vivainsights as vi
>>> sim = vi.p2p_data_sim(size=50)

Customize the Watts-Strogatz parameters:

>>> sim = vi.p2p_data_sim(size=100, dim=2, nei=3, p=0.1)