Use this if you are using igraph from R
centr_clo_tmax {igraph} | R Documentation |
See centralize
for a summary of graph centralization.
centr_clo_tmax(graph = NULL, nodes = 0, mode = c("out", "in", "all", "total"))
graph |
The input graph. It can also be |
nodes |
The number of vertices. This is ignored if the graph is given. |
mode |
This is the same as the |
Real scalar, the theoretical 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()
# 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