LocalClusteringCoefficient - Maple Help

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LocalClusteringCoefficient

  

compute the local clustering coefficient

 

Calling Sequence

Parameters

Description

Examples

Compatibility

Calling Sequence

LocalClusteringCoefficient(G)

LocalClusteringCoefficient(G, v)

Parameters

G

-

graph

v

-

(optional) a vertex of G

Description

• 

LocalClusteringCoefficient returns the local clustering coefficient for a specified vertex in the given graph G, or if no vertex is specified, a list of the coefficients for each vertex in G.

• 

The local clustering coefficient is a number between 0 and 1 measuring how close the neighborhood of v is to a clique.

• 

For a node v with n neighbors, the local cluster coefficient is the number of edges between neighbors of v (counting undirected edges twice) and the number nn1, which is the maximum number of (directed) edges possible between n neighbors.

Examples

withGraphTheory:

GGraph1,2,3,4,5,6,1,3,1,6,2,4,2,6,3,6,4,5,4,6,5,6

GGraph 1: an undirected unweighted graph with 6 vertices and 8 edge(s)

(1)

DrawGraphG

Compute the clustering coefficient for vertex 6

LocalClusteringCoefficientG,6

310

(2)

Produce a list of all local clustering coefficients

LocalClusteringCoefficientG

1,1,1,23,1,310

(3)

Compatibility

• 

The GraphTheory[LocalClusteringCoefficient] command was introduced in Maple 2016.

• 

For more information on Maple 2016 changes, see Updates in Maple 2016.

See Also

GlobalClusteringCoefficient