kl_connected_subgraph¶

kl_connected_subgraph(G, k, l, low_memory=False, same_as_graph=False)[source]¶

Returns the maximum locally \((k, l)\)-connected subgraph of G.

A graph is locally \((k, l)\)-connected if for each edge \((u, v)\) in the graph there are at least \(l\) edge-disjoint paths of length at most \(k\) joining \(u\) to \(v\).

Parameters:	G (NetworkX graph) – The graph in which to find a maximum locally \((k, l)\)-connected subgraph. k (integer) – The maximum length of paths to consider. A higher number means a looser connectivity requirement. l (integer) – The number of edge-disjoint paths. A higher number means a stricter connectivity requirement. low_memory (bool) – If this is `True`, this function uses an algorithm that uses slightly more time but less memory. same_as_graph (bool) – If this is `True` then return a tuple of the form `(H, is_same)`, where `H` is the maximum locally \((k, l)\)-connected subgraph and `is_same` is a Boolean representing whether `G` is locally \((k, l)\)-connected (and hence, whether `H` is simply a copy of the input graph `G`).
Returns:	If `same_as_graph` is `True`, then this function returns a two-tuple as described above. Otherwise, it returns only the maximum locally \((k, l)\)-connected subgraph.
Return type:	NetworkX graph or two-tuple