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k_crust(G, k=None, core_number=None)

The k-crust is the graph G with the edges of the k-core removed and isolated nodes found after the removal of edges are also removed.

Notes

This definition of k-crust is different than the definition in . The k-crust in is equivalent to the k+1 crust of this algorithm.

Not implemented for graphs with parallel edges or self loops.

For directed graphs the node degree is defined to be the in-degree + out-degree.

Graph, node, and edge attributes are copied to the subgraph.

Parameters

G : NetworkX graph

A graph or directed graph.

k : int, optional

The order of the shell. If not specified return the main crust.

core_number : dictionary, optional

Precomputed core numbers for the graph G.

Raises

NetworkXError

The k-crust is not implemented for graphs with self loops or parallel edges.

Returns

G : NetworkX graph

The k-crust subgraph

Returns the k-crust of G.

See Also

core_number

Examples

See :

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/core.py#268
type: <class 'function'>
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