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


gives the community modularity of a partition.


gives the community modularity of an assignment.


  • CommunityModularity functionality is now available in the built-in Wolfram Language function GraphAssortativity.
  • To use CommunityModularity, you first need to load the Graph Utilities Package using Needs["GraphUtilities`"].
  • A community in a network is a group of vertices such that there is a higher density of edges within the group than between them.
  • Given a graph , let the vertex set be partitioned into subsets such that each subset belongs to one community. The community modularity of this partition is defined as , where is the percentage of edges that have both ends in community , and is the percentage of edges that start from community . In other words, and .
  • The community modularity is a number less than or equal to 1. A large positive value indicates that the vertex partition gives significant community structure.
  • The following option can be given:
  • WeightedFalsewhether edges with higher weights are preferred during matching


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Basic Examples  (2)

This defines a small graph:

This gives the community modularity, assuming a partition {{1,2,3},{4,5,6}}:

CommunityModularity has been superseded by GraphAssortativity:

Options  (1)

Weighted  (1)

This defines a graph with edge weights:

The community modularity of partition {{1,2},{3,4}}, ignoring edge weights:

The community modularity of partition {{1,2},{3,4}}, taking into account edge weights:

When taking into account edge weights, partition {{1,4},{2,3}} has higher community modularity: