igraph (version 0.4.3)

transitivity: Transitivity of a graph

Description

Transitivity measures the probability that the adjacent vertices of a vertex are connected. This is sometimes also called the clustering coefficient.

Usage

transitivity(graph, type="undirected", vids=NULL)

Arguments

graph
The graph to analyze.
type
The type of the transitivity to calculate. Possible values:
  • global
{The global transitivity of an undirected graph (directed graphs are considered as undirected ones as well). This is simply the ratio of the triangl

Value

  • For global a single number, or NaN if there are no connected triples in the graph.

    For local a vector of transitivity scores, one for each vertex in vids.

item

vids

code

V(graph)

References

Wasserman, S., and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.

Examples

Run this code
g <- graph.ring(10)
transitivity(g)
g2 <- erdos.renyi.game(1000, 10/1000)
transitivity(g2)   # this is about 10/1000

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