centrality_strength: Strength Centrality (Weighted Degree)

In cograph: Analysis and Visualization of Complex Networks

Strength Centrality (Weighted Degree)

Description

Sum of edge weights connected to each node. For directed networks, centrality_instrength sums incoming weights and centrality_outstrength sums outgoing weights.

Usage

centrality_strength(x, mode = "all", ...)

centrality_instrength(x, ...)

centrality_outstrength(x, ...)

Arguments

x	Network input (matrix, igraph, network, cograph_network, tna object).
mode	For directed networks: "all" (default), "in", or "out".
...	Additional arguments passed to centrality (e.g., normalized, weighted, directed).

Value

Named numeric vector of strength values.

See Also

centrality for computing multiple measures at once, centrality_degree for the unweighted version.

Examples

mat <- matrix(c(0, .5, .3, .5, 0, .8, .3, .8, 0), 3, 3)
rownames(mat) <- colnames(mat) <- c("A", "B", "C")
centrality_strength(mat)

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