center(G, e=None, usebounds=False)

The center is the set of nodes with eccentricity equal to radius.

Parameters

G : NetworkX graph

A graph

e : eccentricity dictionary, optional

A precomputed dictionary of eccentricities.

Returns

c : list

List of nodes in center

Returns the center of the graph G.

See Also

barycenter

periphery

Examples

>>> G = nx.Graph([(1, 2), (1, 3), (1, 4), (3, 4), (3, 5), (4, 5)])
... list(nx.center(G))
[1, 3, 4]

See :

Back References

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

networkx.algorithms.distance_measures.center networkx.algorithms.distance_measures.periphery networkx.drawing.layout.spring_layout networkx.drawing.layout

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

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GitHub : /networkx/algorithms/distance_measures.py#460
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