% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/centralization.R
\name{centralization.evcent.tmax}
\alias{centralization.evcent.tmax}
\title{Theoretical maximum for betweenness centralization}
\usage{
centralization.evcent.tmax(
  graph = NULL,
  nodes = 0,
  directed = FALSE,
  scale = TRUE
)
}
\arguments{
\item{graph}{The input graph. It can also be \code{NULL}, if
\code{nodes} is given.}

\item{nodes}{The number of vertices. This is ignored if the graph is
given.}

\item{directed}{logical scalar, whether to consider edge directions
during the calculation. Ignored in undirected graphs.}

\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.}
}
\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.tmax()} was renamed to \code{\link[=centr_eigen_tmax]{centr_eigen_tmax()}} to create a more
consistent API.
}
\section{Related documentation in the C library}{
\href{https://igraph.org/c/html/0.10.17/igraph-Structural.html#igraph_centralization_eigenvector_centrality_tmax}{\code{centralization_eigenvector_centrality_tmax()}}
}

\keyword{internal}
