Degree Centrality

Degree centrality counts the edges incident to each node. With mode = "in" it counts incoming edges and with mode = "out" outgoing edges. On an undirected network the three modes agree.

Usage

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

centrality_indegree(x, ...)

centrality_outdegree(x, ...)

Arguments

x: Network input accepted by centrality.
mode: For directed networks: "all" (default), "in" or "out".
...: Further arguments to centrality, such as normalized.

Value

A named numeric vector with one score per node, in input node order.

Details

Edge weights are ignored; centrality_strength sums them instead. normalized = TRUE divides the scores by their maximum. centrality_indegree() and centrality_outdegree() are the mode = "in" and mode = "out" forms.

References

Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. doi:10.1016/0378-8733(78)90021-7 .

Examples

centrality_degree(regulation_net)
#>    Explore       Plan    Monitor      Adapt    Reflect    Discuss Synthesize 
#>          6          7          8          6          6          5          4 
#>   Evaluate     Create      Share 
#>          5          7          6