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Alpha (Katz) Centrality

Source: R/centrality.R
centrality_alpha.Rd

Influence via all paths penalized by distance. Similar to eigenvector centrality but includes an exogenous contribution, making it well-defined even for directed acyclic graphs.

Usage

centrality_alpha(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 alpha centrality values.

See also

centrality for computing multiple measures at once, centrality_eigenvector 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_alpha(adj)
#>  A  B  C 
#> -1 -1 -1