centr_clo: Centralize a graph according to the closeness of vertices

In igraph: Network Analysis and Visualization

Centralize a graph according to the closeness of vertices

Description

See centralize() for a summary of graph centralization.

Usage

centr_clo(graph, mode = c("out", "in", "all", "total"), normalized = TRUE)

Arguments

graph	The input graph.
mode	This is the same as the mode argument of closeness().
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:

res	The node-level centrality scores.
centralization	The graph level centrality index.
theoretical_max	The 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.

Related documentation in the C library

igraph_centralization_closeness().

See Also

Other centralization related: centr_betw(), centr_betw_tmax(), centr_clo_tmax(), centr_degree(), centr_degree_tmax(), centr_eigen(), centr_eigen_tmax(), centralize()

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

igraph documentation built on Oct. 20, 2024, 1:06 a.m.