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```
# Copyright (C) 2018- Ioannis Kosmidis
#' Compute a range of package directives and collaboration network statistics
#'
#' @aliases summary_cranly_network
#'
#' @param object a [`cranly_network`] object.
#' @param advanced logical. If [`FALSE`] (default) only basic network statistics are computed; if [`TRUE`] advanced statistics are also included in the computation (see Details).
#' @param ... currently not used`
#'
#' @return
#'
#' A [`data.frame`] of various statistics for the author collaboration
#' network or the package directives network, depending on whether
#' `attr(object, "perspective")` is `"author"` or `"package"`,
#' respectively. See Details for the current list of statistics
#' returned.
#'
#' @details
#'
#' If `attr(object, "perspective")` is `"package"` then the
#' resulting `data.frame` will have the following variables:
#' \itemize{
#' \item package. package name
#' \item n_authors (basic). number of authors for the package
#' \item n_imports (basic). number of packages the package imports
#' \item n_imported_by (basic). number of times the package is imported by other packages
#' \item n_suggests (basic). number of packages the package suggests
#' \item n_suggested_by (basic). number of times the package is suggested by other packages
#' \item n_depends (basic). number of packages the package depends on
#' \item n_depended_by (basic). number of packages that have the package as a dependency
#' \item n_enhances (basic). number of packages the package enhances
#' \item n_enhanced_by (basic). number of packages the package is enhanced by
#' \item n_linking_to (basic). number of packages the package links to
#' \item n_linked_by (basic). number of packages the package is linked by
#' \item betweenness (advanced). the package betweenness in the package network; as computed by [igraph::betweenness()]
#' \item closeness (advanced). the closeness centrality of the package in the package network; as computed by [igraph::closeness()]
#' \item page_rank (advanced). the Google PageRank of the package in the package network; as computed by [igraph::page_rank()]
#' \item degree (advanced). the degree of the package in the package network; as computed by [igraph::degree()]
#' \item eigen_centrality (advanced). the eigenvector centrality score of the package in the package network; as computed by [igraph::eigen_centrality()]
#' }
#'
#' If `attr(object, "perspective")` is `"author"` then the
#' resulting `data.frame` will have the following variables:
#' \itemize{
#' \item author. author name
#' \item n_packages (basic). number of packages the author appears in the package authors
#' \item n_collaborators (basic). total number of co-authors the author has in CRAN
#' \item betweenness (advanced). the author betweenness in the author network; as computed by [igraph::betweenness()]
#' \item closeness (advanced). the closeness centrality of the author in the author network; as computed by [igraph::closeness()]
#' \item page_rank (advanced). the Google PageRank of the author in the author network; as computed by [igraph::page_rank()]
#' \item degree (advanced). the degree of the author in the author network; as computed by [igraph::degree()]; same as n_collaborators
#' \item eigen_centrality (advanced). the eigenvector centrality score of the author in the author network; as computed by [igraph::eigen_centrality()]
#' }
#' @export
summary.cranly_network <- function(object, advanced = TRUE, ...) {
if (!has_usable_data(object)) {
message("The supplied object has no package or author information.")
return(invisible(NULL))
}
perspective <- attr(object, "perspective")
cranly_graph <- as.igraph.cranly_network(object, reverse = TRUE)
if (advanced) {
bet <- betweenness(cranly_graph, normalized = FALSE)
clo <- closeness(cranly_graph, normalized = FALSE)
pg_rank <- page_rank(cranly_graph)
degree <- degree(cranly_graph, normalized = FALSE)
eigen_cent <- eigen_centrality(cranly_graph, scale = FALSE)
}
if (perspective == "package") {
gr <- subgraph.edges(graph = cranly_graph, eids = which(E(cranly_graph)$type == "imports"),
delete.vertices = FALSE)
n_imports <- degree(gr, mode = "out")
n_imported_by <- degree(gr, mode = "in")
gr <- subgraph.edges(graph = cranly_graph, eids = which(E(cranly_graph)$type == "depends"),
delete.vertices = FALSE)
n_depends <- degree(gr, mode = "out")
n_depended_by <- degree(gr, mode = "in")
gr <- subgraph.edges(graph = cranly_graph, eids = which(E(cranly_graph)$type == "suggests"),
delete.vertices = FALSE)
n_suggests <- degree(gr, mode = "out")
n_suggested_by <- degree(gr, mode = "in")
gr <- subgraph.edges(graph = cranly_graph, eids = which(E(cranly_graph)$type == "enhances"),
delete.vertices = FALSE)
n_enhanced_by <- degree(gr, mode = "out")
n_enhances <- degree(gr, mode = "in")
gr <- subgraph.edges(graph = cranly_graph, eids = which(E(cranly_graph)$type == "linking_to"),
delete.vertices = FALSE)
n_linking_to <- degree(gr, mode = "out")
n_linked_by <- degree(gr, mode = "in")
package <- object$nodes$package
n_authors <- unlist(lapply(object$nodes$author, function(x) {l <- length(x); ifelse(l, l, NA)}))
out <- with(object$nodes,
data.frame(package = package,
n_authors = n_authors,
n_imports = n_imports,
n_imported_by = n_imported_by,
n_suggests = n_suggests,
n_suggested_by = n_suggested_by,
n_depends = n_depends,
n_depended_by = n_depended_by,
n_enhances = n_enhances,
n_enhanced_by = n_enhanced_by,
n_linking_to = n_linking_to,
n_linked_by = n_linked_by,
betweenness = if (advanced) bet[package] else NA,
closeness = if (advanced)clo[package] else NA,
page_rank = if (advanced) pg_rank$vector[package] else NA,
degree = if (advanced) degree else NA,
eigen_centrality = if (advanced) eigen_cent$vector[package] else NA,
stringsAsFactors = FALSE))
}
else {
aut <- object$nodes$author
n_collaborators <- degree(cranly_graph, mode = "all")
n_packages <- unlist(lapply(object$nodes$package, function(x) {l <- length(x); ifelse(l, l, NA)}))
out <- data.frame(author = aut,
n_packages = n_packages,
## n_collaborators = object$nodes$n_collaborators,
n_collaborators = n_collaborators,
betweenness = if (advanced) bet[aut] else NA,
closeness = if (advanced) clo[aut] else NA,
page_rank = if (advanced) pg_rank$vector[aut] else NA,
degree = if (advanced) degree[aut] else NA,
eigen_centrality = if (advanced) eigen_cent$vector[aut] else NA,
stringsAsFactors = FALSE)
}
class(out) <- c("summary_cranly_network", class(out))
attr(out, "perspective") <- perspective
attr(out, "timestamp") <- attr(object, "timestamp")
out
}
```

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