% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/centrality.R
\name{centrality_expected_influence_2}
\alias{centrality_expected_influence_2}
\title{Expected Influence (two-step)}
\usage{
centrality_expected_influence_2(x, mode = "out", ...)
}
\arguments{
\item{x}{Network input (matrix, igraph, network, cograph_network, tna
object).}

\item{mode}{One of "all", "in", "out" for directed graphs. Default "out".}

\item{...}{Additional arguments passed to \code{\link{centrality}}.}
}
\value{
Named numeric vector of two-step expected-influence values.
}
\description{
Two-step signed-weight sum: a node's own expected influence (EI1) plus
the weighted sum of its neighbors' EI1 (Robinaugh, Millner & McNally
2016). Captures both the node's direct influence and the influence it
exerts indirectly via highly-connected neighbors.
}
\examples{
W <- matrix(c( 0.0,  0.5, -0.3,  0.2,
               0.5,  0.0,  0.4, -0.1,
              -0.3,  0.4,  0.0,  0.6,
               0.2, -0.1,  0.6,  0.0), 4, 4, byrow = TRUE)
rownames(W) <- colnames(W) <- c("A", "B", "C", "D")
centrality_expected_influence_2(W)
}
\references{
Robinaugh DJ, Millner AJ, McNally RJ (2016). Identifying
highly influential nodes in the complicated grief network.
\emph{Journal of Abnormal Psychology}, 125(6), 747-757.
}
\seealso{
\code{\link{centrality_expected_influence_1}} for the one-step
variant.
}
