Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

networkx.algorithms.bipartite.matrix.from_biadjacency_matrix

from_biadjacency_matrix(A, create_using=None, edge_attribute='weight')[source]

Creates a new bipartite graph from a biadjacency matrix given as a SciPy sparse matrix.

Parameters
  • A (scipy sparse matrix) – A biadjacency matrix representation of a graph

  • create_using (NetworkX graph) – Use specified graph for result. The default is Graph()

  • edge_attribute (string) – Name of edge attribute to store matrix numeric value. The data will have the same type as the matrix entry (int, float, (real,imag)).

Notes

The nodes are labeled with the attribute bipartite set to an integer 0 or 1 representing membership in part 0 or part 1 of the bipartite graph.

If create_using is an instance of networkx.MultiGraph or networkx.MultiDiGraph and the entries of A are of type int, then this function returns a multigraph (of the same type as create_using) with parallel edges. In this case, edge_attribute will be ignored.

See also

biadjacency_matrix(), from_numpy_array()

References

[1] https://en.wikipedia.org/wiki/Adjacency_matrix#Adjacency_matrix_of_a_bipartite_graph