Generalized Closeness Centrality — centrality_generalized_closeness • cograph

Sum of alpha^d over all nodes. Generalization of decay centrality matching tidygraph's implementation.

Usage

centrality_generalized_closeness(x, mode = "all", decay_parameter = 0.5, ...)

Arguments

x: Network input (matrix, igraph, network, cograph_network, tna object).
mode: For directed networks: "all" (default), "in", or "out".
decay_parameter: Numeric between 0 and 1 (the alpha parameter). Default 0.5.
...: Additional arguments passed to centrality.

Value

Named numeric vector of generalized closeness values.

See also

centrality for computing multiple measures at once, centrality_decay (equivalent formulation).

Examples

adj <- matrix(c(0, 1, 0, 1, 0, 1, 0, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_generalized_closeness(adj)
#>    A    B    C 
#> 1.75 2.00 1.75