Generate nodes in strongly connected components of graph.
Recursive version of algorithm.
G (NetworkX Graph) – A directed graph.
comp – A generator of sets of nodes, one for each strongly connected component of G.
- Return type
generator of sets
NetworkXNotImplemented – If G is undirected.
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)]
Uses Tarjan’s algorithm_ with Nuutila’s modifications_.
Depth-first search and linear graph algorithms, R. Tarjan SIAM Journal of Computing 1(2):146-160, (1972).
On finding the strongly connected components in a directed graph. E. Nuutila and E. Soisalon-Soinen Information Processing Letters 49(1): 9-14, (1994)..