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k_edge_components(self, k)

Notes

Given the auxiliary graph, the k-edge-connected components can be determined in linear time by removing all edges with weights less than k from the auxiliary graph. The resulting connected components are the k-edge-ccs in the original graph.

Parameters

k : Integer

Desired edge connectivity

Returns

k_edge_components : a generator of k-edge-ccs

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

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.EdgeComponentAuxGraph networkx.algorithms.connectivity.edge_kcomponents.k_edge_components

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#380
type: <class 'function'>
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