Delete OpenAlexNodes.R

OpenAlexNodes.R

@@ -1,106 +0,0 @@
-authorPubNodes <- function(keywords,pub_start_date,pub_end_date){
-  
-  keywords <- keywords
-  pub_start_date <- pub_start_date
-  pub_end_date <- pub_end_date
-  
-  # create search engine function
-  search_engine <- function(keywords,pub_start_date,pub_end_date){
-    suppressPackageStartupMessages(library(openalexR))
-    suppressPackageStartupMessages(library(tidyverse))
-    
-    options(openalexR.mailto = "[email protected]")
-    
-    # search engine
-    works_search <- oa_fetch(
-      entity = "works",
-      title.search = c(keywords),
-      cited_by_count = ">50",
-      from_publication_date = pub_start_date,
-      to_publication_date = pub_end_date,
-      options = list(sort = "cited_by_count:desc"),
-      verbose = FALSE
-    )
-    
-    return(works_search)
-    
-  }
-  
-  search_data <- search_engine(keywords,pub_start_date,pub_end_date)
-  
-  
-  # grab authors and group them according to collaboration
-  authors_collaboration_groups <- list()
-  for (i in 1:nrow(search_data)){
-    authors_collaboration_groups[[i]] <- search_data$author[[i]][2]
-  }
-  
-  # grab all authors
-  all_authors <- c()
-  for (i in 1:length(authors_collaboration_groups)) {
-    all_authors <- c(all_authors,authors_collaboration_groups[[i]][[1]])
-  }
-  
-  # get length of each authors collaboration
-  authors_length <- c()
-  for(authors in 1:length(authors_collaboration_groups)){
-    authors_length <- c(authors_length,authors_collaboration_groups[[authors]] |> nrow())
-  }
-  
-  # grab all publications
-  publications <- list()
-  for (i in 1:nrow(search_data)){
-    publications[[i]] <- rep(search_data$display_name[i], each = authors_length[i])
- }
-  
-  # place all publications in a vector
-  all_publications <- c()
-  for(i in 1:length(publications)){
-    all_publications <- c(all_publications,publications[[i]])
-  }
-  
-  # create author_to_publication data frame
-  authors_to_publications <- data.frame(
-    Authors = all_authors,
-    Publications = all_publications
-  )
-  
-  # stack the df so that authors and publications
-  # are together as one column
-  stacked_df <- stack(authors_to_publications)
-  stacked_df <- unique.data.frame(stacked_df) # remove duplicate rows
-  stacked_df <- stacked_df[-2] # delete second column in df
-  
-  # create author_publications_nodes df
-  author_publication_nodes <- data.frame(
-    Id = 1:nrow(stacked_df),
-    Nodes = stacked_df$values,
-    Label = stacked_df$values
-  )
-  
-  
-  return(author_publication_nodes)
-  
-  
-}
-
-# authorPub_data <- search_engine(keywords = c("data","deep learning","analytics"),
-#                                 pub_start_date = "2021-01-01",
-#                                 pub_end_date = "2022-12-31")
-# 
-# tictoc::tic()
-# nodes <- authorPubNodes(search_data = authorPub_data)
-# tictoc::toc()
-# 
-# nodes |> view()
-# 
-# 
-# # write to csv
-# write.csv(nodes,file = "authorPubNodes.csv",row.names = F)
-
-nodes_pub <- authorPubNodes(keywords = c("data","deep learning","analytics"),
-                            pub_start_date = "2021-01-01",
-                            pub_end_date = "2022-12-31")
-nodes_pub |> view()
-
-write.csv(nodes_pub,file = "nodes_pub.csv",row.names = F)