R igraph manual pages

Theoretical maximum for betweenness centralization

Description

See centralize for a summary of graph centralization.

Usage

centr_eigen_tmax(graph = NULL, nodes = 0, directed = FALSE, scale = 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.
scale	Whether to rescale the eigenvector centrality scores, such that the maximum score is one.

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_tmax(), centr_betw(), centr_clo_tmax(), centr_clo(), centr_degree_tmax(), centr_degree(), centr_eigen(), centralize()

Examples

# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_eigen(g, normalized = FALSE)$centralization %>%
 `/`(centr_eigen_tmax(g))
centr_eigen(g, normalized = TRUE)$centralization

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