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adjacency_spectrum(G, weight='weight')

Notes

For MultiGraph/MultiDiGraph, the edges weights are summed. See to_numpy_array for other options.

Parameters

G : graph

A NetworkX graph

weight : string or None, optional (default='weight')

The edge data key used to compute each value in the matrix. If None, then each edge has weight 1.

Returns

evals : NumPy array

Eigenvalues

Returns eigenvalues of the adjacency matrix of G.

See Also

adjacency_matrix

Examples

See :

Back References

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

networkx.linalg.graphmatrix.adjacency_matrix

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/linalg/spectrum.py#81
type: <class 'function'>
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