centralization: Centralization index

In cograph: Analysis and Visualization of Complex Networks

Centralization index

Description

Computes Freeman's centralization for degree, betweenness, closeness, or eigenvector centrality.

Usage

centralization(
  x,
  measure = c("degree", "betweenness", "closeness", "eigenvector"),
  directed = NULL,
  mode = "all",
  ...
)

Arguments

x	Network input
measure	One of "degree", "betweenness", "closeness", "eigenvector"
directed	Logical or NULL
mode	"all", "in", or "out"
...	Additional arguments passed to to_igraph()

Value

Numeric scalar in [0, 1]

Examples

star <- matrix(0, 5, 5)
star[1, 2:5] <- 1; star[2:5, 1] <- 1
cograph::centralization(star, "degree")

cograph documentation built on May 31, 2026, 5:06 p.m.