Generate nodes in strongly connected components of graph.
Parameters: G (NetworkX Graph) – An directed graph. Returns: comp – A genrator 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.kosaraju_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.kosaraju_strongly_connected_components(G), key=len)
Uses Kosaraju’s algorithm.