networkx.algorithms.components.strongly_connected_components_recursive¶

strongly_connected_components_recursive(G)[source]¶

Generate nodes in strongly connected components of graph.

Recursive version of algorithm.

Parameters: G (NetworkX Graph) – A directed graph.
Returns: comp – A generator of sets of nodes, one for each strongly connected component of G.
Return type: generator of sets
Raises: NetworkXNotImplemented – If G is undirected.

Examples

Generate a sorted list of strongly connected components, largest first.

>>> G = nx.cycle_graph(4, create_using=nx.DiGraph())
>>> nx.add_cycle(G, [10, 11, 12])
>>> [
...     len(c)
...     for c in sorted(
...         nx.strongly_connected_components_recursive(G), key=len, reverse=True
...     )
... ]
[4, 3]

If you only want the largest component, it’s more efficient to use max instead of sort.

>>> largest = max(nx.strongly_connected_components_recursive(G), key=len)

To create the induced subgraph of the components use: >>> S = [G.subgraph(c).copy() for c in nx.weakly_connected_components(G)]