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Leverage Centrality

Source: R/centrality.R
centrality_leverage.Rd

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)
#>    A    B    C    D 
#> -0.1  0.3 -0.1 -0.5