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
ornetworkx.MultiDiGraph
and the entries of \(A\) are of typeint
, 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_matrix()
References
[1] http://en.wikipedia.org/wiki/Adjacency_matrix#Adjacency_matrix_of_a_bipartite_graph