kl_connected_subgraph(G, k, l, low_memory=False, same_as_graph=False)
A graph is locally :None:None:`(k, l)`
-connected if for each edge :None:None:`(u, v)`
in the graph there are at least l
edge-disjoint paths of length at most k
joining :None:None:`u`
to :None:None:`v`
.
The graph in which to find a maximum locally :None:None:`(k, l)`
-connected subgraph.
The maximum length of paths to consider. A higher number means a looser connectivity requirement.
The number of edge-disjoint paths. A higher number means a stricter connectivity requirement.
If this is True, this function uses an algorithm that uses slightly more time but less memory.
If True then return a tuple of the form :None:None:`(H, is_same)`
, where :None:None:`H`
is the maximum locally :None:None:`(k, l)`
-connected subgraph and :None:None:`is_same`
is a Boolean representing whether G
is locally :None:None:`(k,
l)`
-connected (and hence, whether :None:None:`H`
is simply a copy of the input graph G
).
If :None:None:`same_as_graph`
is True, then this function returns a two-tuple as described above. Otherwise, it returns only the maximum locally :None:None:`(k, l)`
-connected subgraph.
Returns the maximum locally :None:None:`(k, l)`
-connected subgraph of G
.
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.algorithms.hybrid.is_kl_connected
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