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density(B, nodes)

Notes

The container of nodes passed as argument must contain all nodes in one of the two bipartite node sets to avoid ambiguity in the case of disconnected graphs. See bipartite documentation <networkx.algorithms.bipartite> for further details on how bipartite graphs are handled in NetworkX.

Parameters

B : NetworkX graph
nodes: list or container :

Nodes in one node set of the bipartite graph.

Returns

d : float

The bipartite density

Returns density of bipartite graph B.

See Also

color

Examples

>>> from networkx.algorithms import bipartite
... G = nx.complete_bipartite_graph(3, 2)
... X = set([0, 1, 2])
... bipartite.density(G, X) 1.0
>>> Y = set([3, 4])
... bipartite.density(G, Y) 1.0
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.bipartite.basic.density networkx.algorithms.bipartite.basic.degrees

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/bipartite/basic.py#220
type: <class 'function'>
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