R: Centralize a graph according to the closeness of vertices

centr_clo {igraph} | R Documentation

## 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.

### See Also

Other centralization related: `centr_betw_tmax()`, `centr_betw()`, `centr_clo_tmax()`, `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_degree(g)$centralization
    centr_clo(g, mode = "all")$centralization
    centr_betw(g, directed = FALSE)$centralization
    centr_eigen(g, directed = FALSE)$centralization

[Package igraph version 1.2.11 Index]