See centralize
for a summary of graph centralization.
centr_clo_tmax(graph = NULL, nodes = 0, mode = c("out", "in", "all",
"total"))
The input graph. It can also be NULL
, if
nodes
is given.
The number of vertices. This is ignored if the graph is given.
This is the same as the mode
argument of
closeness
.
Real scalar, the theoratical maximum (unnormalized) graph closeness centrality score for graphs with given order and other parameters.
Other centralization related: centr_betw_tmax
,
centr_betw
, centr_clo
,
centr_degree_tmax
,
centr_degree
,
centr_eigen_tmax
,
centr_eigen
, centralize
# NOT RUN {
# 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
# }
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