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# go to 'https://developers.facebook.com/tools/explorer' to get your access token
access_token <- "******************* INPUT YOUR ACCESS TOKEN ******************************"
require(RCurl)
require(rjson)
# Facebook json function copied from original (Romain Francois) post
facebook <- function( path = "me", access_token, options){
if( !missing(options) ){
options <- sprintf( "?%s", paste( names(options), "=", unlist(options), collapse = "&", sep = "" ) )
} else {
options <- ""
}
data <- getURL( sprintf( "https://graph.facebook.com/%s%s&access_token=%s", path, options, access_token ) )
fromJSON( data )
}
### MY FACEBOOK POSTS
myposts <- list()
i <- 0
next.path <- "me/posts"
# download all my posts
while(length(next.path)!=0) {
i<-i+1
myposts[[i]] <- facebook(path=next.path , access_token=access_token)
next.path <- sub("https://graph.facebook.com/", "", myposts[[i]]$paging$'next')
}
myposts[[i]] <- NULL
# parse the list, extract number of likes and the corresponding text (status)
parse.master <- function(x, f)
sapply(x$data, f)
parse.likes <- function(x) if(!is.null(x$likes$count)) x$likes$count else 0
mylikes <- unlist(sapply(myposts, parse.master, f=parse.likes))
parse.messages <- function(x) if(!is.null(x$message)) x$message else NA
mymessages <- unlist(sapply(myposts, parse.master, f=parse.messages))
# and the most liked status is...
mymessages[which.max(mylikes)]
### TED FACEBOOK PAGE
# http://www.facebook.com/TED
# TED's Facebook ID 29092950651 can be found on http://graph.facebook.com/TED
ted <- list()
i<-0
next.path <- "29092950651/posts"
# download all TED posts
while(length(next.path)!=0) {
i<-i+1
ted[[i]] <- facebook( path=next.path , access_token=access_token)
next.path <- sub("https://graph.facebook.com/","",ted[[i]]$paging$'next')
}
ted[[i]] <- NULL
# parse just video links posted by TED
parse.count.ted <- function(x)
if (x$type=="link" & x$from$id=="29092950651") x$likes$count else NA
parse.link.ted <- function(x)
if (x$type=="link" & x$from$id=="29092950651") x$link else NA
ted.counts <- unlist(sapply(ted, parse.master, f=parse.count.ted))
ted.links <- unlist(sapply(ted, parse.master, f=parse.link.ted))
# see three most popular talks
ted.links[order(ted.counts,decreasing=TRUE)][1:3]
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