igraph (version 1.0.0)

centr_clo_tmax: Theoretical maximum for closeness centralization

Description

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 theoratical maximum (unnormalized) graph closeness centrality score for graphs with given order and other parameters.

See Also

Other centralization related: centr_betw_tmax, centralization.betweenness.tmax; centr_betw, centralization.betweenness; centr_clo, centralization.closeness; centr_degree_tmax, centralization.degree.tmax; centr_degree, centralization.degree; centr_eigen_tmax, centralization.evcent.tmax; centr_eigen, centralization.evcent; centralization, centralize, centralize.scores

Examples

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