Additional network formats

This module provides additional temporal network classes only available in the Python implementation.

class tacoma.network_formats.adjacency_matrices(temporal_network, dtype=<class 'float'>)

Bases: object

Construct a temporal network as a list of adjacency matrices (numpy.array).

Parameters:

• temporal_network (_tacoma.edge_changes, _tacoma.edge_lists, _tacoma.edge_changes_with_histograms, or _tacoma.edge_lists_with_histograms) – An instance of a temporal network.
• dtype (numpy.dtype, default=float) – Data type of the matrix entries.

class tacoma.network_formats.sparse_adjacency_matrices(temporal_network, sparse_generator=<Mock id='4380274448'>, dtype=<class 'float'>)

Bases: object

Construct a temporal network as a list of sparse adjacency matrices.

Parameters:

• temporal_network (_tacoma.edge_changes, _tacoma.edge_lists, _tacoma.edge_changes_with_histograms, or _tacoma.edge_lists_with_histograms) – An instance of a temporal network.
• sparse_generator (instance of scipy.sparse matrix, default : scipy.sparse.csc_matrix) – The sparse matrix class with which to construct all adjacency matrices.
• dtype (numpy.dtype, default=float) – Data type of the matrix entries.