centrality_leverage: Leverage Centrality

In cograph: Analysis and Visualization of Complex Networks

Leverage Centrality

Description

Measures a node's influence over its neighbors based on relative degree differences. Positive values indicate the node has more connections than its average neighbor.

Usage

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

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 leverage centrality values (range -1 to 1).

See Also

centrality for computing multiple measures at once.

Examples

adj <- matrix(c(0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0), 4, 4)
rownames(adj) <- colnames(adj) <- c("A", "B", "C", "D")
centrality_leverage(adj)

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