centr_eigen_tmax

0th

Percentile

Theoretical maximum for betweenness centralization

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

See Also

Other centralization related: centr_betw_tmax, centralization.betweenness.tmax; centr_betw, centralization.betweenness; centr_clo_tmax, centralization.closeness.tmax; centr_clo, centralization.closeness; centr_degree_tmax, centralization.degree.tmax; centr_degree, centralization.degree; centr_eigen, centralization.evcent; centralization, centralize, centralize.scores

Aliases
  • centr_eigen_tmax
  • centralization.evcent.tmax
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
Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)

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