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In the branch of mathematics called graph theory, the strength of an undirected graph corresponds to the minimum ratio edges removed/components created in a decomposition of the graph in question. It is a method to compute partitions of the set of vertices and detect zones of high concentration of edges.

Definitions

The strength σ(G) of an undirected simple graph G = (VE) admits the three following definitions:

σ(G)=max{T𝒯λT:T𝒯λT0 and eETeλT1}.
  • And by linear programming duality,
σ(G)=min{eEye:eEye0 and T𝒯eEye1}.

Complexity

Computing the strength of a graph can be done in polynomial time, and the first such algorithm was discovered by Cunningham (1985). The algorithm with best complexity for computing exactly the strength is due to Trubin (1993), uses the flow decomposition of Goldberg and Rao (1998), in time O(min(m,n2/3)mnlog(n2/m+2)).

Properties

  • The Tutte-Nash-Williams theorem: σ(G) is the maximum number of edge-disjoint spanning trees that can be contained in G.
  • Contrary to the graph partition problem, the partitions output by computing the strength are not necessarily balanced (i.e. of almost equal size).

References