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.

See Also

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 1.2.4.1 Index]