Description Usage Arguments Value See Also Examples

See `centralize`

for a summary of graph centralization.

1 | ```
centr_betw_tmax(graph = NULL, nodes = 0, directed = TRUE)
``` |

`graph` |
The input graph. It can also be |

`nodes` |
The number of vertices. This is ignored if the graph is given. |

`directed` |
logical scalar, whether to use directed shortest paths for calculating betweenness. |

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

Other centralization related:
`centr_betw()`

,
`centr_clo_tmax()`

,
`centr_clo()`

,
`centr_degree_tmax()`

,
`centr_degree()`

,
`centr_eigen_tmax()`

,
`centr_eigen()`

,
`centralize()`

1 2 3 4 5 | ```
# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_betw(g, normalized = FALSE)$centralization %>%
`/`(centr_betw_tmax(g))
centr_betw(g, normalized = TRUE)$centralization
``` |

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