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#' Calculates the mean intensity of the given node (for mixed networks)
#'
#' @description
#' Given a node, calculates its mean intensities depending on the edges associated with the node, those intensities are:
#' in, out (for directed edges), undirected and total intensity.
#'
#' @name nodeIntensity.intensitynetMix
#'
#' @param obj intensitynetMix object
#' @param node_id ID of the node
#'
#' @return mean intensities of the given node for undirected edges, in and out directed and total intensity.
#'
MeanNodeIntensity.intensitynetMix = function(obj, node_id){
g <- obj$graph
# If the intensities are already calculated, return them
if(!is.null(igraph::vertex_attr(g, 'intensity_und', index = node_id)) &
!is.null(igraph::vertex_attr(g, 'intensity_in', index = node_id)) &
!is.null(igraph::vertex_attr(g, 'intensity_out', index = node_id)) &
!is.null(igraph::vertex_attr(g, 'intensity_all', index = node_id))) {
if(!is.na(igraph::vertex_attr(g, "intensity_und", index = node_id))[1] &
!is.na(igraph::vertex_attr(g, "intensity_in", index = node_id))[1] &
!is.na(igraph::vertex_attr(g, "intensity_out", index = node_id))[1] &
!is.na(igraph::vertex_attr(g, "intensity_all", index = node_id))[1]) {
message("Warning: Node intensities were already calculated in a previous instance, returning the same intensity.")
return( list( und_int = igraph::vertex_attr(g, 'intensity_und', index=node_id),
in_int = igraph::vertex_attr(g, 'intensity_in', index=node_id),
out_int = igraph::vertex_attr(g, 'intensity_out', index=node_id),
all_int = igraph::vertex_attr(g, 'intensity_all', index=node_id) ) )
}
}
if(igraph::degree(g, node_id) > 0){
in_neighbors_tmp <- as.vector( igraph::neighbors(g, node_id, mode = 'in') )
out_neighbors_tmp <- as.vector( igraph::neighbors(g, node_id, mode = 'out') )
und_neighbors <- intersect(in_neighbors_tmp, out_neighbors_tmp)
in_neighbors <- setdiff(in_neighbors_tmp, out_neighbors_tmp)
out_neighbors <- setdiff(out_neighbors_tmp, in_neighbors_tmp)
if(length(und_neighbors) > 0){
und_mat <- matrix(0, ncol = length(und_neighbors))
colnames(und_mat) <- und_neighbors
rownames(und_mat) <- node_id
for (neighbor_id in und_neighbors){
und_mat[as.character(node_id), as.character(neighbor_id)] <- EdgeIntensity(obj = obj,
node_id1 = igraph::V(g)[node_id]$name,
node_id2 = igraph::V(g)[neighbor_id]$name)
}
und_intensity <- Reduce('+', und_mat) / length(und_neighbors)
}else{
und_intensity <- 0
}
if(length(in_neighbors) > 0){
in_mat <- matrix(0, ncol = length(in_neighbors))
colnames(in_mat) <- in_neighbors
rownames(in_mat) <- node_id
for (neighbor_id in in_neighbors){
in_mat[as.character(node_id), as.character(neighbor_id)] <- EdgeIntensity(obj = obj,
node_id1 = igraph::V(g)[node_id]$name,
node_id2 = igraph::V(g)[neighbor_id]$name)
}
in_intensity <- Reduce('+', in_mat) / length(in_neighbors)
}else{
in_intensity <- 0
}
if(length(out_neighbors) > 0){
out_mat <- matrix(0, ncol = length(out_neighbors))
colnames(out_mat) <- out_neighbors
rownames(out_mat) <- node_id
for (neighbor_id in out_neighbors){
out_mat[as.character(node_id), as.character(neighbor_id)] <- EdgeIntensity(obj = obj,
node_id1 = igraph::V(g)[node_id]$name,
node_id2 = igraph::V(g)[neighbor_id]$name)
}
out_intensity <- Reduce('+', out_mat) / length(out_neighbors)
}else{
out_intensity <- 0
}
all_intensity <- (und_intensity + in_intensity + out_intensity) /
(length(und_neighbors) + length(in_neighbors) + length(out_neighbors))
list(und_int = und_intensity,
in_int = in_intensity,
out_int = out_intensity,
all_int = all_intensity)
}
}
#' Calculates intensity statistics for the given intensitynet object
#'
#' @description
#' Calculates edgewise and mean nodewise intensities for Mixed networks and, for each edge, the proportions of
#' all event covariates.
#'
#' @name RelateEventsToNetwork.intensitynetMix
#'
#' @param obj intensitynetMix object
#'
#' @return proper intensitynetMix object with a graph containing the nodewise intensity in the node
#' attributes and the edgewise intensities and event covariate proportions as edge attributes.
#'
#' @export
RelateEventsToNetwork.intensitynetMix = function(obj){
g <- obj$graph
intensities <- obj$intensities
und_counts <- c()
in_counts <- c()
out_counts <- c()
all_counts <- c()
if(length(obj$events) == 0){
stop("Error: No events, cannot calculate any intensity.")
}
tmp_obj <- EdgeIntensitiesAndProportions.intensitynet(obj)
g <- tmp_obj$graph
message("Calculating node intensities...")
pb = utils::txtProgressBar(min = 0, max = igraph::gorder(g), initial = 0, style = 3)
# check if the intensities was previously calculated, if not, calculate them
v_count <- 0
for(node_id in igraph::V(g)){
utils::setTxtProgressBar(pb,node_id)
if(is.null(igraph::vertex_attr(g, 'intensity_in', node_id)) || is.null(igraph::vertex_attr(g, 'intensity_out', node_id))){
if(igraph::degree(g, node_id) > 0){
#Adds result of Nodewise mean intensity function to 'counts'
intensities <- MeanNodeIntensity(tmp_obj, node_id)
und_counts[[node_id]] <- intensities$und_int
in_counts[[node_id]] <- intensities$in_int
out_counts[[node_id]] <- intensities$out_int
all_counts[[node_id]] <- intensities$all_int
}else{
# Counts for isolated nodes or NA values
und_counts[[node_id]] <- 0
in_counts[[node_id]] <- 0
out_counts[[node_id]] <- 0
all_counts[[node_id]] <- 0
}
}else if(is.na(igraph::vertex_attr(g, 'intensity_und', node_id))[1] ||
is.na(igraph::vertex_attr(g, 'intensity_in', node_id))[1] ||
is.na(igraph::vertex_attr(g, 'intensity_out', node_id))[1] ||
is.na(igraph::vertex_attr(g, 'intensity_all', node_id))[1]){
if(is.na(igraph::vertex_attr(g, 'intensity_und', node_id))[1]) in_counts[[node_id]] <- 0
if(is.na(igraph::vertex_attr(g, 'intensity_in', node_id))[1]) out_counts[[node_id]] <- 0
if(is.na(igraph::vertex_attr(g, 'intensity_out', node_id))[1]) out_counts[[node_id]] <- 0
if(is.na(igraph::vertex_attr(g, 'intensity_all', node_id))[1]) out_counts[[node_id]] <- 0
}else{
v_count <- v_count + 1
und_counts[[node_id]] <- igraph::vertex_attr(g, 'intensity_und', node_id)
in_counts[[node_id]] <- igraph::vertex_attr(g, 'intensity_in', node_id)
out_counts[[node_id]] <- igraph::vertex_attr(g, 'intensity_out', node_id)
in_counts[[node_id]] <- igraph::vertex_attr(g, 'intensity_all', node_id)
}
}
close(pb)
# If the intensity of all edges is already calculated return the object
if(v_count == length(igraph::V(g))){
message("Warning: Intensities were already calculated in a previous instance, returning the same object.")
return(obj)
}
# g <- g %>% igraph::set_igraph::vertex_attr(name = "intensity_und", value = as.matrix(und_counts)) %>%
# igraph::set_vertex_attr(name = "intensity_in", value = as.matrix(in_counts)) %>%
# igraph::set_vertex_attr(name = "intensity_out", value = as.matrix(out_counts)) %>%
# igraph::set_vertex_attr(name = "intensity_all", value = as.matrix(all_counts))
g <- igraph::set_vertex_attr(g, name = "intensity_und", value = as.numeric(und_counts))
g <- igraph::set_vertex_attr(g, name = "intensity_in", value = as.numeric(in_counts))
g <- igraph::set_vertex_attr(g, name = "intensity_out", value = as.numeric(out_counts))
g <- igraph::set_vertex_attr(g, name = "intensity_all", value = as.numeric(all_counts))
intnet <- list(graph = g,
events = obj$events,
graph_type = obj$graph_type,
distances_mtx = obj$distances_mtx,
event_correction = obj$event_correction,
events_related = TRUE)
attr(intnet, 'class') <- c("intensitynetMix", "intensitynet")
return(intnet)
}
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