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Number of edges connected to each node. For directed networks, centrality_indegree counts incoming edges and centrality_outdegree counts outgoing edges.
centrality_indegree
centrality_outdegree
centrality_degree(x, mode = "all", ...)centrality_indegree(x, ...)centrality_outdegree(x, ...)
centrality_indegree(x, ...)
centrality_outdegree(x, ...)
Named numeric vector of degree values.
Network input (matrix, igraph, network, cograph_network, tna object).
For directed networks: "all" (default), "in", or "out".
"all"
"in"
"out"
Additional arguments passed to centrality (e.g., normalized, weighted, directed).
centrality
normalized
weighted
directed
centrality for computing multiple measures at once, centrality_strength for the weighted version.
centrality_strength
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)
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