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| 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 = "idiayeifeanyi@yahoo.com") | |
| # 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$author[[i]][2] | |
| } | |
| # grab all authors | |
| all_authors <- c() | |
| for (i in 1:length(authors_collaboration_groups)) { | |
| all_authors <- c(all_authors,authors_collaboration_groups[[i]][[1]]) | |
| } | |
| # get length of each authors collaboration | |
| authors_length <- c() | |
| for(authors in 1:length(authors_collaboration_groups)){ | |
| authors_length <- c(authors_length,authors_collaboration_groups[[authors]] |> nrow()) | |
| } | |
| # grab all publications | |
| publications <- list() | |
| for (i in 1:nrow(search_data)){ | |
| publications[[i]] <- rep(search_data$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) | |
| } |