# R igraph manual pages

Use this if you are using igraph from R

## Centralize a graph according to the closeness of vertices

### Description

See centralize for a summary of graph centralization.

### Usage

centr_clo(graph, mode = c("out", "in", "all", "total"), normalized = TRUE)


### Arguments

 graph The input graph. mode This is the same as the mode argument of closeness. 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(), centr_betw(), centr_clo_tmax(), centr_degree_tmax(), centr_degree(), centr_eigen_tmax(), centr_eigen(), centralize()

### Examples

# 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


[Package igraph version 1.2.7 Index]