# Copyright (C) 2018 Sebastian Sosa, Ivan Puga-Gonzalez, Hu Feng He, Xiaohua Xie, Cédric Sueur
#
# This file is part of Animal Network Toolkit Software (ANTs).
#
# ANT is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# ANT is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#' @title Laplacian matrix
#' @description Create the laplacian matrix of a network.
#' @param M a square adjacency matrix.
#' @details Laplacian matrix is the difference between the degrees matrix and the adjacency matrix.
#' @author Sebastian Sosa, Ivan Puga-Gonzalez.
#' @references REF laplacian !!!!!!!!!!!!!!!!
#' @references Sosa, S. (2018). Social Network Analysis, \emph{in}: Encyclopedia of Animal Cognition and Behavior. Springer.
#' @keywords internal
mat.lp <- function(M) {
# Create the degrees matrix----------------------
m0 <- M
m0[m0 > 0] <- 0
met.degree <- mat_cols_sums(M)
diag(m0) <- met.degree
# Create the Laplacian matrix----------------------
LM <- m0 - M
return(LM)
}
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