R igraph manual pages

Use this if you are using igraph from R

Theoretical maximum for closeness centralization

Description

See centralize for a summary of graph centralization.

Usage

centr_clo_tmax(graph = NULL, nodes = 0, mode = c("out", "in", "all", "total"))

Arguments

graph

The input graph. It can also be NULL, if nodes is given.

nodes

The number of vertices. This is ignored if the graph is given.

mode

This is the same as the mode argument of closeness.

Value

Real scalar, the theoretical maximum (unnormalized) graph closeness centrality score for graphs with given order and other parameters.

See Also

Other centralization related: centr_betw_tmax(), centr_betw(), centr_clo(), 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_clo(g, normalized = FALSE)$centralization %>%
 `/`(centr_clo_tmax(g))
centr_clo(g, normalized = TRUE)$centralization

[Package igraph version 1.3.0 Index]