centr_betw

0th

Percentile

Centralize a graph according to the betweenness of vertices

See centralize for a summary of graph centralization.

Usage
centr_betw(graph, directed = TRUE, nobigint = TRUE, normalized = TRUE)
Arguments
graph
The input graph.
directed
logical scalar, whether to use directed shortest paths for calculating betweenness.
nobigint
Logical scalar, whether to use big integers for the betweenness calculation. This argument is passed to the betweenness function.
normalized
Logical scalar. Whether to normalize the graph level centrality score by dividing by the theoretical maximum.
Value

  • A named list with the following components:
  • resThe node-level centrality scores.
  • centralizationThe graph level centrality index.
  • theoretical_maxThe maximum theoretical graph level centralization score for a graph with the given number of vertices, using the same parameters. If the normalized argument was TRUE, then the result was divided by this number.

See Also

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

Aliases
  • centr_betw
  • centralization.betweenness
Examples
# A BA graph is quite centralized
g <- sample_pa(1000, m = 4)
centr_degree(g)$centralization
centr_clo(g, mode = "all")$centralization
centr_betw(g, directed = FALSE)$centralization
centr_eigen(g, directed = FALSE)$centralization
Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)

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