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See centralize for a summary of graph centralization.
centralize
centr_clo_tmax(graph = NULL, nodes = 0, mode = c("out", "in", "all", "total"))
Real scalar, the theoretical maximum (unnormalized) graph closeness centrality score for graphs with given order and other parameters.
The input graph. It can also be NULL, if nodes is given.
NULL
nodes
The number of vertices. This is ignored if the graph is given.
This is the same as the mode argument of closeness.
mode
closeness
Other centralization related: centr_betw_tmax(), centr_betw(), centr_clo(), centr_degree_tmax(), centr_degree(), centr_eigen_tmax(), centr_eigen(), centralize()
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
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