normalized_cut_size(G, S, T=None, weight=None)
The normalized cut size is the cut size times the sum of the reciprocal sizes of the volumes of the two sets. [1]
In a multigraph, the cut size is the total weight of edges including multiplicity.
A collection of nodes in G.
A collection of nodes in G.
Edge attribute key to use as weight. If not specified, edges have weight one.
Returns the normalized size of the cut between two sets of nodes.
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.algorithms.cuts.conductance
networkx.algorithms.cuts.volume
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