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Theoretical maximum for degree centralization

Source: R/centralization.R
centr_degree_tmax.Rd

See centralize() for a summary of graph centralization.

Usage

centr_degree_tmax(
  graph = NULL,
  nodes = 0,
  mode = c("all", "out", "in", "total"),
  loops
)

Arguments

graph

The input graph. It can also be NULL, if nodes, mode and loops are all given.

nodes

The number of vertices. This is ignored if the graph is given.

mode

This is the same as the mode argument of degree().

loops

Logical scalar, whether to consider loops edges when calculating the degree.

Value

Real scalar, the theoretical maximum (unnormalized) graph degree centrality score for graphs with given order and other parameters.

See also

Other centralization related: centr_betw(), centr_betw_tmax(), centr_clo(), centr_clo_tmax(), centr_degree(), centr_eigen(), centr_eigen_tmax(), centralize()

Examples

# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_degree(g, normalized = FALSE)$centralization %>%
  `/`(centr_degree_tmax(g, loops = FALSE))
#> [1] 0.1599896
centr_degree(g, normalized = TRUE)$centralization
#> [1] 0.1598295