#' Convert Network(s) to igraph's Format
#' @description Converts single or multiple networks into \code{\link{igraph}}'s format for network analysis
#'
#' @param A Adjacency matrix (network matrix) or brain connectivity array
#' (from \code{convertConnBrainMat})
#'
#' @param neural Defunct.
#'
#' @return Returns a network matrix in \code{\link{igraph}}'s format
#'
#' @examples
#' # Pearson's correlation only for CRAN checks
#' A <- TMFG(similarity(sim.fluency(50), method = "cor"))
#'
#' igraphNetwork <- convert2igraph(A)
#'
#' @author Alexander Christensen <alexpaulchristensen@gmail.com>
#'
#' @export
#Convert matrices to igraph format----
# Updated 10.08.2023
convert2igraph <- function (A, neural = FALSE)
{
# Check for strength of zero
original_diagonal <- diag(A)[1]
diag(A) <- 0
unconnected <- colSums(A) == 0
if(any(unconnected)){
A <- A[!unconnected, !unconnected]
}
# Set diagonal back to original
diag(A) <- original_diagonal
net <- igraph::as.igraph(qgraph::qgraph(A,DoNotPlot=TRUE))
# igraph::vertex_attr(net, "name") <- igraph::V(net)$label
return(net)
}
#----
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