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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.algorithms.cuts.cut_size

cut_size(G, S, T=None, weight=None)[source]

Returns the size of the cut between two sets of nodes.

A cut is a partition of the nodes of a graph into two sets. The cut size is the sum of the weights of the edges “between” the two sets of nodes.

Parameters

  • G (NetworkX graph)

  • S (sequence) – A sequence of nodes in G.

  • T (sequence) – A sequence of nodes in G. If not specified, this is taken to be the set complement of S.

  • weight (object) – Edge attribute key to use as weight. If not specified, edges have weight one.

Returns

Total weight of all edges from nodes in set S to nodes in set T (and, in the case of directed graphs, all edges from nodes in T to nodes in S).

Return type

number

Examples

In the graph with two cliques joined by a single edges, the natural bipartition of the graph into two blocks, one for each clique, yields a cut of weight one:

>>> G = nx.barbell_graph(3, 0)
>>> S = {0, 1, 2}
>>> T = {3, 4, 5}
>>> nx.cut_size(G, S, T)
1

Each parallel edge in a multigraph is counted when determining the cut size:

>>> G = nx.MultiGraph(["ab", "ab"])
>>> S = {"a"}
>>> T = {"b"}
>>> nx.cut_size(G, S, T)
2

Notes

In a multigraph, the cut size is the total weight of edges including multiplicity.