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degree_centrality(G)

The degree centrality for a node v is the fraction of nodes it is connected to.

Notes

The degree centrality values are normalized by dividing by the maximum possible degree in a simple graph n-1 where n is the number of nodes in G.

For multigraphs or graphs with self loops the maximum degree might be higher than n-1 and values of degree centrality greater than 1 are possible.

Parameters

G : graph

A networkx graph

Returns

nodes : dictionary

Dictionary of nodes with degree centrality as the value.

Compute the degree centrality for nodes.

See Also

betweenness_centrality
eigenvector_centrality
load_centrality

Examples

See :

Back References

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

networkx.algorithms.centrality.degree_alg.out_degree_centrality networkx.algorithms.centrality.degree_alg.in_degree_centrality

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/centrality/degree_alg.py#7
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