Theoretical maximum for closeness centralization — centr_clo_tmax • igraph

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

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

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