# brandes.betweenness.centrality

0th

Percentile

##### Compute betweenness centrality for an undirected graph

Compute betweenness centrality for an undirected graph

Keywords
models
##### Usage
brandes.betweenness.centrality(g)
##### Arguments
g
an instance of the graph class with edgemode “undirected”
##### Details

Brandes.betweenness.centrality computes the betweenness centrality of each vertex or each edge in the graph, using an algorithm by U. Brandes.

Betweenness centrality of a vertex v is calculated as follows: N_st(v) = no. of shortest paths from s to t that pass through v, N_st = no. of shortest paths from s to t, betweenness centrality of v = sum(N_st(v)/N_st) for all vertices s != v != t.

Betweenness centrality of an edge is calculated similarly.

The relative betweenness centrality for a vertex is to scale the betweenness centrality of the given vertex by 2/(n**2 - 3n + 2) where n is the no. of vertices in the graph.

Central point dominance measures the maximum betweenness of any vertex in the graph.

See documentation on brandes betweenness centrality in Boost Graph Library for more details.

##### Value

A list of
betweenness.centrality.vertices
betweenness centrality of each vertex
betweenness.centrality.edges
betweenness centrality of each edge
relative.betweenness.centrality.vertices
relative betweenness centrality of each vertex
dominance
maximum betweenness of any point in the graph

##### References

Boost Graph Library ( www.boost.org/libs/graph/doc/index.html )

The Boost Graph Library: User Guide and Reference Manual; by Jeremy G. Siek, Lie-Quan Lee, and Andrew Lumsdaine; (Addison-Wesley, Pearson Education Inc., 2002), xxiv+321pp. ISBN 0-201-72914-8

betweenness.centrality.clustering

##### Aliases
• brandes.betweenness.centrality
##### Examples
con <- file(system.file("XML/conn.gxl",package="RBGL"), open="r")
coex <- fromGXL(con)
close(con)
coex <- ugraph(coex)
brandes.betweenness.centrality(coex)

Documentation reproduced from package RBGL, version 1.48.1, License: Artistic-2.0

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