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k_edge_subgraphs(self, k)

Notes

Refines the k-edge-ccs into k-edge-subgraphs. The running time is more than $O(

<SubstitutionRef: 
   |value: '|V|'
   |>
)$.

For single values of k it is faster to use :None:None:`nx.k_edge_subgraphs`. But for multiple values of k, it can be faster to build AuxGraph and then use this method.

Parameters

k : Integer

Desired edge connectivity

Returns

k_edge_subgraphs : a generator of k-edge-subgraphs

Queries the auxiliary graph for k-edge-connected subgraphs.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/connectivity/edge_kcomponents.py#413
type: <class 'function'>
Commit: