#' get_mentionees
#'
#' This function takes a tibble of tweets and records which users were mentioned,
#' and how many times. Mentions include replies and retweets, but not quotes.
#' @return a tibble with two columns noting the user ID and how many times they were mentioned
#' @examples get_mentionees(tweets)
#' @export
get_mentionees= function(tweets){
#build tibble to record mentionees
mentionees<- tibble("user_ID"=character(), "count"= numeric())
#Then, iterate through each row of the tweets and record the mentionees
for (i in 1:nrow(tweets)){
#this if statement checks that there are actually mentions in the tweet
if(!is.na(tweets$mentions_user_id[i])){
#create list of all unique ID's mentioned in the tweet
IDlist<- unique(strsplit(tweets$mentions_user_id[[i]], fixed=T, split=" "))
#Then, iterate through this list and update the mentionees tibble accordingly
#If the ID is already in the tibble, add one to the count value for it. If not, add it to the tibble
for (j in 1:length(IDlist)){
ID= IDlist[[j]]
if(ID%in%mentionees$user_ID){
mentionees$count[which(mentionees$user_ID==ID)]<-mentionees$count[which(mentionees$user_ID==ID)]+1
}
else{
mentionees=rbind(mentionees, tibble("user_ID"=ID, "count"=1))
}
}
}
}
#last, sort the output so that higher mentions come first
mentionees<-mentionees[order(mentionees$count, decreasing = TRUE),]
return(mentionees)
}
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