centrality_betweenness: Betweenness Centrality

In cograph: Analysis and Visualization of Complex Networks

Betweenness Centrality

Description

Fraction of shortest paths passing through each node. Nodes with high betweenness act as bridges connecting different parts of the network.

Usage

centrality_betweenness(x, ...)

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
...	Additional arguments passed to centrality (e.g., normalized, weighted, directed, cutoff, invert_weights).

Value

Named numeric vector of betweenness values.

See Also

centrality for computing multiple measures at once, centrality_load for a related measure.

Examples

adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_betweenness(adj)

cograph documentation built on April 1, 2026, 1:07 a.m.