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is_strongly_connected(G)

A directed graph is strongly connected if and only if every vertex in the graph is reachable from every other vertex.

Notes

For directed graphs only.

Parameters

G : NetworkX Graph

A directed graph.

Raises

NetworkXNotImplemented

If G is undirected.

Returns

connected : bool

True if the graph is strongly connected, False otherwise.

Test directed graph for strong connectivity.

See Also

is_biconnected
is_connected
is_semiconnected
is_weakly_connected
strongly_connected_components

Examples

>>> G = nx.DiGraph([(0, 1), (1, 2), (2, 3), (3, 0), (2, 4), (4, 2)])
... nx.is_strongly_connected(G) True
>>> G.remove_edge(2, 3)
... nx.is_strongly_connected(G) False
See :

Back References

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

networkx.algorithms.components.strongly_connected.is_strongly_connected

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/components/strongly_connected.py#305
type: <class 'function'>
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