As of Version 10, all the functionality of the GraphUtilities package is built into the Wolfram System. >>


finds the closeness centrality.


  • ClosenessCentrality functionality is now available in the built-in Wolfram Language function ClosenessCentrality.
  • To use ClosenessCentrality, you first need to load the Graph Utilities Package using Needs["GraphUtilities`"].
  • The closeness centrality of a vertex u is defined as the inverse of the sum of the distance from u to all other vertices. The closeness centrality of a vertex in a disconnected graph is based on the closeness centrality of the component where this vertex belongs.
  • The following options can be given:
  • WeightedTruewhether edge weight is to be used in calculating distance
    NormalizeFalsewhether to normalize the output


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Basic Examples  (2)

This defines a small graph:

Compute the closeness centrality:

This function has been superseded by ClosenessCentrality in the Wolfram System:

Scope  (1)

This defines a disconnected graph and finds the closeness centrality:

Options  (1)

Weighted  (1)

This defines a graph with edge weights:

By default, edge weights are taken into account:

This gives the closeness centrality if edge weights are assumed to be 1.:

Applications  (1)

A plot of a grid graph with vertices of high centrality in red:

Properties & Relations  (1)

The centrality of a vertex that cannot reach all other vertices in its component is zero:

The centrality of a disconnected graph is calculated by treating each component separately: