# centr_betw

0th

Percentile

##### Centralize a graph according to the betweenness of vertices

See centralize for a summary of graph centralization.

##### Usage
centr_betw(graph, directed = TRUE, nobigint = TRUE, normalized = TRUE)
##### Arguments
graph

The input graph.

directed

logical scalar, whether to use directed shortest paths for calculating betweenness.

nobigint

Logical scalar, whether to use big integers for the betweenness calculation. This argument is passed to the betweenness function.

normalized

Logical scalar. Whether to normalize the graph level centrality score by dividing by the theoretical maximum.

##### Value

A named list with the following components:

res

The node-level centrality scores.

centralization

The graph level centrality index.

theoretical_max

The maximum theoretical graph level centralization score for a graph with the given number of vertices, using the same parameters. If the normalized argument was TRUE, then the result was divided by this number.

Other centralization related: centr_betw_tmax, centralization.betweenness.tmax; centr_clo_tmax, centralization.closeness.tmax; centr_clo, centralization.closeness; centr_degree_tmax, centralization.degree.tmax; centr_degree, centralization.degree; centr_eigen_tmax, centralization.evcent.tmax; centr_eigen, centralization.evcent; centralization, centralize, centralize.scores

##### Aliases
• centr_betw
• centralization.betweenness
##### Examples
# NOT RUN {
# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_degree(g)$centralization centr_clo(g, mode = "all")$centralization
centr_betw(g, directed = FALSE)$centralization centr_eigen(g, directed = FALSE)$centralization
# }

Documentation reproduced from package igraph, version 1.0.1, License: GPL (>= 2)

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