See `centralize()`

for a summary of graph centralization.

## Value

Real scalar, the theoretical maximum (unnormalized) graph betweenness centrality score for graphs with given order and other parameters.

## See also

Other centralization related:
`centr_betw()`

,
`centr_clo()`

,
`centr_clo_tmax()`

,
`centr_degree()`

,
`centr_degree_tmax()`

,
`centr_eigen()`

,
`centr_eigen_tmax()`

,
`centralize()`

## Examples

```
# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_betw(g, normalized = FALSE)$centralization %>%
`/`(centr_betw_tmax(g))
#> [1] 0.0005692495
centr_betw(g, normalized = TRUE)$centralization
#> [1] 0.0005692495
```