Update OpenAlexNodes.R

OpenAlexNodes.R

@@ -4,82 +4,95 @@ authorPubNodes <- function(keywords,pub_start_date,pub_end_date){
   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))
+  
+  if(!is.character(keywords)) {
+    
+    shinyalert(
+      title = "Error!",
+      text = "You can only enter text values",
+      closeOnEsc = T,
+      closeOnClickOutside = T,
+      confirmButtonText = "OK",
+      timer = 4000
+    )
+  } else{
+    
+    # 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 = 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())
+    }
     
-    options(openalexR.mailto = "[email protected]")
+    # grab all publications
+    publications <- list()
+    for (i in 1:nrow(search_data)){
+      publications[[i]] <- rep(search_data$display_name[i], each = authors_length[i])
+    }
     
-    # search engine
-    works_search <- oa_fetch(
-      entity = "works",
-      title.search = 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
+    # 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
     )
     
-    return(works_search)
+    # 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)
     
   }
-  
-  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)
-  
-  
-}
+}