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Burt's Constraint

Source: R/centrality.R
centrality_constraint.Rd

Network constraint measuring the extent to which a node's connections are redundant. Low constraint indicates access to structural holes (brokerage opportunities).

Usage

centrality_constraint(x, ...)

Arguments

x

Network input (matrix, igraph, network, cograph_network, tna object).

...

Additional arguments passed to centrality (e.g., weighted, directed).

Value

Named numeric vector of constraint values.

See also

centrality for computing multiple measures at once.

Examples

adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_constraint(adj)
#>     A     B     C 
#> 1.125 1.125 1.125