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Generate nodes in strongly connected components of graph.

Parameters:G (NetworkX Graph) – An 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.


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

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

See also

connected_components(), weakly_connected_components()


Uses Tarjan’s algorithm with Nuutila’s modifications. Nonrecursive version of algorithm.


[1]Depth-first search and linear graph algorithms, R. Tarjan SIAM Journal of Computing 1(2):146-160, (1972).
[2]On finding the strongly connected components in a directed graph. E. Nuutila and E. Soisalon-Soinen Information Processing Letters 49(1): 9-14, (1994)..