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% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/centralization.R
\name{centr_eigen}
\alias{centr_eigen}
\alias{centralization.evcent}
\title{Centralize a graph according to the eigenvector centrality of vertices}
\usage{
centr_eigen(graph, directed = FALSE, scale = TRUE,
options = arpack_defaults, normalized = TRUE)
}
\arguments{
\item{graph}{The input graph.}
\item{directed}{logical scalar, whether to use directed shortest paths for
calculating eigenvector centrality.}
\item{scale}{Whether to rescale the eigenvector centrality scores, such that
the maximum score is one.}
\item{options}{This is passed to \code{\link{eigen_centrality}}, the options
for the ARPACK eigensolver.}
\item{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:
\item{vector}{The node-level centrality scores.}
\item{value}{The corresponding eigenvalue.}
\item{options}{ARPACK options, see the return value of
\code{\link{eigen_centrality}} for details.}
\item{centralization}{The graph level centrality index.}
\item{theoretical_max}{The same as above, the theoretical maximum
centralization score for a graph with the same number of vertices.}
}
\description{
See \code{\link{centralize}} for a summary of graph centralization.
}
\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
# The most centralized graph according to eigenvector centrality
g0 <- make_graph(c(2,1), n = 10, dir = FALSE)
g1 <- make_star(10, mode = "undirected")
centr_eigen(g0)$centralization
centr_eigen(g1)$centralization
}
\seealso{
Other centralization related: \code{\link{centr_betw_tmax}},
\code{\link{centralization.betweenness.tmax}};
\code{\link{centr_betw}},
\code{\link{centralization.betweenness}};
\code{\link{centr_clo_tmax}},
\code{\link{centralization.closeness.tmax}};
\code{\link{centr_clo}},
\code{\link{centralization.closeness}};
\code{\link{centr_degree_tmax}},
\code{\link{centralization.degree.tmax}};
\code{\link{centr_degree}},
\code{\link{centralization.degree}};
\code{\link{centr_eigen_tmax}},
\code{\link{centralization.evcent.tmax}};
\code{\link{centralization}}, \code{\link{centralize}},
\code{\link{centralize.scores}}
}
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