R igraph manual pages

Use this if you are using igraph from R

Theoretical maximum for betweenness centralization

Description

See centralize for a summary of graph centralization.

Usage

centr_betw_tmax(graph = NULL, nodes = 0, directed = TRUE)

Arguments

graph

The input graph. It can also be NULL, if nodes is given.

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.

Value

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

See Also

Other centralization related: centr_betw, centr_clo_tmax, centr_clo, centr_degree_tmax, centr_degree, centr_eigen_tmax, centr_eigen, centralize

Examples

# 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

[Package igraph version 1.2.4.1 Index]