centr_clo_tmax

0th

Percentile

Theoretical maximum for closeness centralization

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

Aliases
  • centr_clo_tmax
  • centralization.closeness.tmax
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
Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)

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