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Sum of delta^d over all nodes, where d is the shortest path distance. Nodes near many others get higher scores. The decay_parameter controls the distance penalty.

Usage

centrality_decay(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. Default 0.5.

...

Additional arguments passed to centrality.

Value

Named numeric vector of decay centrality values.

See also

centrality for computing multiple measures at once.

Examples

adj <- matrix(c(0, 1, 0, 1, 0, 1, 0, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_decay(adj, decay_parameter = 0.5)
#>    A    B    C 
#> 1.75 2.00 1.75