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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/centralization.R
\name{centralization.evcent}
\alias{centralization.evcent}
\title{Centralize a graph according to the eigenvector centrality of vertices}
\usage{
centralization.evcent(
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}{\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}} Ignored. Computing
eigenvector centralization requires normalized eigenvector centrality scores.}
\item{options}{This is passed to \code{\link[=eigen_centrality]{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.}
}
\description{
\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}}
\code{centralization.evcent()} was renamed to \code{\link[=centr_eigen]{centr_eigen()}} to create a more
consistent API.
}
\keyword{internal}
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