Use this if you are using igraph from R
| centr_degree_tmax {igraph} | R Documentation | 
See centralize for a summary of graph centralization.
centr_degree_tmax(
  graph = NULL,
  nodes = 0,
  mode = c("all", "out", "in", "total"),
  loops = FALSE
)
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   | 
loops | 
 Logical scalar, whether to consider loops edges when
calculating the degree. Currently the default value is   | 
Real scalar, the theoretical maximum (unnormalized) graph degree centrality score for graphs with given order and other parameters.
Other centralization related: 
centr_betw_tmax(),
centr_betw(),
centr_clo_tmax(),
centr_clo(),
centr_degree(),
centr_eigen_tmax(),
centr_eigen(),
centralize()
# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_degree(g, normalized = FALSE)$centralization %>%
 `/`(centr_degree_tmax(g, loops = FALSE))
centr_degree(g, normalized = TRUE)$centralization