# centr_degree

0th

Percentile

##### Centralize a graph according to the degrees of vertices

See centralize for a summary of graph centralization.

##### Usage
centr_degree(graph, mode = c("all", "out", "in", "total"), loops = TRUE,
normalized = TRUE)
##### Arguments
graph

The input graph.

mode

This is the same as the mode argument of degree.

loops

Logical scalar, whether to consider loops edges when calculating the degree.

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.

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_eigen_tmax, centralization.evcent.tmax; centr_eigen, centralization.evcent; centralization, centralize, centralize.scores

##### Aliases
• centr_degree
• centralization.degree
##### Examples
# NOT RUN {
# 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 1.0.1, License: GPL (>= 2)

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