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See centralize() for a summary of graph centralization.

Usage

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

Arguments

graph

The input graph. It can also be NULL, if nodes is given.

nodes

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

mode

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

Value

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

See also

Examples

# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_clo(g, normalized = FALSE)$centralization %>%
  `/`(centr_clo_tmax(g))
#> [1] NaN
centr_clo(g, normalized = TRUE)$centralization
#> [1] NaN