Integration Centrality

Distance-based influence: sum of 1 - (d-1)/max(d) over all nodes.

Usage

centrality_integration(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 integration 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_integration(adj)
#>   A   B   C 
#> 3.0 3.5 3.0