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Strength Centrality (Weighted Degree)

Source: R/centrality.R
centrality_strength.Rd

Sum of edge weights connected to each node. For directed networks, centrality_instrength sums incoming weights and centrality_outstrength sums outgoing weights.

Usage

centrality_strength(x, mode = "all", ...)

centrality_instrength(x, ...)

centrality_outstrength(x, ...)

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 strength values.

See also

centrality for computing multiple measures at once, centrality_degree for the unweighted version.

Examples

mat <- matrix(c(0, .5, .3, .5, 0, .8, .3, .8, 0), 3, 3)
rownames(mat) <- colnames(mat) <- c("A", "B", "C")
centrality_strength(mat)
#>   A   B   C 
#> 0.8 1.3 1.1