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Degree Centrality

Source: R/centrality.R
centrality_degree.Rd

Number of edges connected to each node. For directed networks, centrality_indegree counts incoming edges and centrality_outdegree counts outgoing edges.

Usage

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

centrality_indegree(x, ...)

centrality_outdegree(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 degree values.

See also

centrality for computing multiple measures at once, centrality_strength for the weighted version.

Examples

adj <- matrix(c(0, 1, 1, 1, 0, 1, 1, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
centrality_degree(adj)
#> A B C 
#> 2 2 2