diff --git a/.RData b/.RData
index 1b2ce36..e8f14ea 100644
Binary files a/.RData and b/.RData differ
diff --git a/.Rhistory b/.Rhistory
index ff5df04..9ac776b 100644
--- a/.Rhistory
+++ b/.Rhistory
@@ -1,165 +1,512 @@
-setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
-read.csv("politiker2.csv")
-read.csv("politiker2.csv")
-list1 <- read.csv("politiker2.csv")
-View(list1)
-list1$name
-list1$name[1]
-for(i in 1:length(list1)) {
-lastname <- as.character(list1$name[i])
+rm(tweets_temp)
+tweets_temp <- fromJSON(correctJSON(current))
+## START ERROR HANDLING ##
+# Empty API output
+status <- errorEmptyAPI(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Contains "error" column
+status <- errorErrorColumn(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Check if error code exists
+code <- errorCheckCode(tweets_temp) # 0 if no error
+if(code == 34) {  # page does not exist
+status <- errorCode34()
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
 }
-str_extract(lastname, "\\w+?")
-require(XML)
-require(stringr)
-str_extract(lastname, "\\w+?")
-str_extract(lastname, "\\w+")
-str_extract(lastname, "\\w+")
-list2 <- read.csv("politiker.csv")
-View(list2)
-View(list2)
-View(list2)
-View(list2)
-list1 <- read.csv("politiker2.csv")
-list2 <- read.csv("politiker.csv")
-for(i in 1:length(list1)) {
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:length(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-acc <- as.character(list2$screenname[a])
-cat(name1,":",acc,sep = "")
+if(code == 88) {  # rate limit exceeded
+wait <- errorCode88()
+Sys.sleep(wait)
+next
+}
+## END ERROR HANDLING ##
+# Delete unnecessary columns and add username and real name to dataframe
+tweets_temp <- tweets_temp[keep]
+tweets_temp <- cbind(user=user, name=name, tweets_temp)
+# Now sleep 3 second to dodge 300queries/15min limit
+cat("[",a,"/",nrow(acc_df),"] ", sep = "")
+cat("User: ",user," in loop: ",loop,". \n", sep = "")
+Sys.sleep(2)
+if(tweets_full$id_str[nrow(tweets_full)] == tweets_temp$id_str[nrow(tweets_temp)] && nrow(tweets_full) > 0) {
+cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
+break
+}
+## Last loop is reached. Now clear the data frame
+#     # Is the last tweet in tweets_temp from 2013?
+#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
+# Extract year of last tweet in tweets_temp
+year <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
+status <- year < 2014
+if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
+#       # Delete all tweets other than from 2014
+#       old <- 0
+#       for(r in 1:nrow(tweets_temp)) {
+#         status <- str_detect(tweets_temp$created_at[r], "2014$")
+#         if(is.na(status)) {
+#           #status <- FALSE
+#           cat("[INFO] NA-Status in Tweet", r)
+#         }
+#         if(!status) { # Starting when tweet not from 2014
+#           old <- old + 1
+#         }
+#       }
+#       if(old > 0) {
+#         old <- old - 1
+#
+#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
+#         status <- str_detect(tweets_temp$created_at[1], "2014$")
+#         if(!status) {
+#           old <- nrow(tweets_temp)
+#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+#         }
+#
+#         # delete all lines which are older than 2014
+#         tweets_temp <- head(tweets_temp, -old)
+#       }
+#       rm(old)
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+break  # End loop because 2013 is reached
+}
+# The last tweet is newer or equal 2014, so we need another loop
+else {
+# Setting max_id to gather next 200 tweets
+max_id <- tweets_temp$id_str[nrow(tweets_temp)]
+loop <- loop + 1  # just for stats
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+}
+} # /repeat
+tweets_complete <- insertRow(tweets_complete, tweets_full)
+tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
+cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
+write.csv(tweets_complete, "tweets_complete.csv")
+# Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
+}
+api_url <- "https://api.twitter.com/1.1/statuses/user_timeline.json";
+max_count <- "200"
+keep <- c("created_at", "id_str", "text", "retweet_count")
+# tweets_complete: All tweets
+# tweets_full: All tweets of current user
+# tweets_temp: The current max 200 tweets of current user
+tweets_full <- data.frame(user=character(), name=character(), created_at=character(), id_str=character(), text=character(), retweet_count=character())
+tweets_complete <- tweets_full
+for(a in 1:nrow(acc_df)) {
+user <- as.character(acc_df$twitter_acc[a])
+name <- as.character(acc_df$name[a])
+max_id <- "999999999999999999"
+loop <- 1
+error <- 0
+repeat {
+# Define specific search query
+query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false",
+screen_name=user,
+count=max_count,
+max_id=max_id);
+# At first, work with an temporary tweet-DB
+current <- twitter_api_call(api_url, query, api_params)
+rm(tweets_temp)
+tweets_temp <- fromJSON(correctJSON(current))
+## START ERROR HANDLING ##
+# Empty API output
+status <- errorEmptyAPI(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Contains "error" column
+status <- errorErrorColumn(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Check if error code exists
+code <- errorCheckCode(tweets_temp) # 0 if no error
+if(code == 34) {  # page does not exist
+status <- errorCode34()
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+}
+if(code == 88) {  # rate limit exceeded
+wait <- errorCode88()
+Sys.sleep(wait)
+next
+}
+## END ERROR HANDLING ##
+# Delete unnecessary columns and add username and real name to dataframe
+tweets_temp <- tweets_temp[keep]
+tweets_temp <- cbind(user=user, name=name, tweets_temp)
+# Now sleep 3 second to dodge 300queries/15min limit
+cat("[",a,"/",nrow(acc_df),"] ", sep = "")
+cat("User: ",user," in loop: ",loop,". \n", sep = "")
+Sys.sleep(2)
+if(tweets_full$id_str[nrow(tweets_full)] == tweets_temp$id_str[nrow(tweets_temp)] && nrow(tweets_full) > 0) {
+cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
+break
+}
+## Last loop is reached. Now clear the data frame
+#     # Is the last tweet in tweets_temp from 2013?
+#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
+# Extract year of last tweet in tweets_temp
+year <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
+status <- year < 2014
+if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
+#       # Delete all tweets other than from 2014
+#       old <- 0
+#       for(r in 1:nrow(tweets_temp)) {
+#         status <- str_detect(tweets_temp$created_at[r], "2014$")
+#         if(is.na(status)) {
+#           #status <- FALSE
+#           cat("[INFO] NA-Status in Tweet", r)
+#         }
+#         if(!status) { # Starting when tweet not from 2014
+#           old <- old + 1
+#         }
+#       }
+#       if(old > 0) {
+#         old <- old - 1
+#
+#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
+#         status <- str_detect(tweets_temp$created_at[1], "2014$")
+#         if(!status) {
+#           old <- nrow(tweets_temp)
+#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+#         }
+#
+#         # delete all lines which are older than 2014
+#         tweets_temp <- head(tweets_temp, -old)
+#       }
+#       rm(old)
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+break  # End loop because 2013 is reached
+}
+# The last tweet is newer or equal 2014, so we need another loop
+else {
+# Setting max_id to gather next 200 tweets
+max_id <- tweets_temp$id_str[nrow(tweets_temp)]
+loop <- loop + 1  # just for stats
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+}
+} # /repeat
+tweets_complete <- insertRow(tweets_complete, tweets_full)
+tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
+cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
+write.csv(tweets_complete, "tweets_complete.csv")
+# Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
+}
+tweets_full <- data.frame(user=character(), name=character(), created_at=character(), id_str=character(), text=character(), retweet_count=character())
+tweets_complete <- tweets_full
+for(a in 1:nrow(acc_df)) {
+user <- as.character(acc_df$twitter_acc[a])
+name <- as.character(acc_df$name[a])
+max_id <- "999999999999999999"
+loop <- 1
+error <- 0
+repeat {
+# Define specific search query
+query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false",
+screen_name=user,
+count=max_count,
+max_id=max_id);
+# At first, work with an temporary tweet-DB
+current <- twitter_api_call(api_url, query, api_params)
+rm(tweets_temp)
+tweets_temp <- fromJSON(correctJSON(current))
+## START ERROR HANDLING ##
+# Empty API output
+status <- errorEmptyAPI(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Contains "error" column
+status <- errorErrorColumn(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Check if error code exists
+code <- errorCheckCode(tweets_temp) # 0 if no error
+if(code == 34) {  # page does not exist
+status <- errorCode34()
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+}
+if(code == 88) {  # rate limit exceeded
+wait <- errorCode88()
+Sys.sleep(wait)
+next
+}
+## END ERROR HANDLING ##
+# Delete unnecessary columns and add username and real name to dataframe
+tweets_temp <- tweets_temp[keep]
+tweets_temp <- cbind(user=user, name=name, tweets_temp)
+# Now sleep 3 second to dodge 300queries/15min limit
+cat("[",a,"/",nrow(acc_df),"] ", sep = "")
+cat("User: ",user," in loop: ",loop,". \n", sep = "")
+Sys.sleep(2)
+if(tweets_full$id_str[nrow(tweets_full)] == tweets_temp$id_str[nrow(tweets_temp)] && nrow(tweets_full) > 0) {
+cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
+break
+}
+## Last loop is reached. Now clear the data frame
+#     # Is the last tweet in tweets_temp from 2013?
+#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
+# Extract year of last tweet in tweets_temp
+year_last <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
+status <- year_last < 2014
+if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
+year_first <- as.numeric(str_extract(tweets_temp$created_at[1], "\\d{4}$"))
+status <- year_first < 2014
+cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+}
+#       # Delete all tweets other than from 2014
+#       old <- 0
+#       for(r in 1:nrow(tweets_temp)) {
+#         status <- str_detect(tweets_temp$created_at[r], "2014$")
+#         if(is.na(status)) {
+#           #status <- FALSE
+#           cat("[INFO] NA-Status in Tweet", r)
+#         }
+#         if(!status) { # Starting when tweet not from 2014
+#           old <- old + 1
+#         }
+#       }
+#       if(old > 0) {
+#         old <- old - 1
+#
+#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
+#         status <- str_detect(tweets_temp$created_at[1], "2014$")
+#         if(!status) {
+#           old <- nrow(tweets_temp)
+#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+#         }
+#
+#         # delete all lines which are older than 2014
+#         tweets_temp <- head(tweets_temp, -old)
+#       }
+#       rm(old)
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+break  # End loop because 2013 is reached
+}
+# The last tweet is newer or equal 2014, so we need another loop
+else {
+# Setting max_id to gather next 200 tweets
+max_id <- tweets_temp$id_str[nrow(tweets_temp)]
+loop <- loop + 1  # just for stats
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+}
+} # /repeat
+tweets_complete <- insertRow(tweets_complete, tweets_full)
+tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
+cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
+write.csv(tweets_complete, "tweets_complete.csv")
+# Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
+}
+tweets_full <- data.frame(user=character(), name=character(), created_at=character(), id_str=character(), text=character(), retweet_count=character())
+tweets_complete <- tweets_full
+for(a in 1:nrow(acc_df)) {
+user <- as.character(acc_df$twitter_acc[a])
+name <- as.character(acc_df$name[a])
+max_id <- "999999999999999999"
+loop <- 1
+error <- 0
+repeat {
+# Define specific search query
+query <- c(include_rts=1, exclude_replies="true", trim_user="true", include_entities="false",
+screen_name=user,
+count=max_count,
+max_id=max_id);
+# At first, work with an temporary tweet-DB
+current <- twitter_api_call(api_url, query, api_params)
+rm(tweets_temp)
+tweets_temp <- fromJSON(correctJSON(current))
+## START ERROR HANDLING ##
+# Empty API output
+status <- errorEmptyAPI(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Contains "error" column
+status <- errorErrorColumn(tweets_temp)
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+# Check if error code exists
+code <- errorCheckCode(tweets_temp) # 0 if no error
+if(code == 34) {  # page does not exist
+status <- errorCode34()
+if(status == 1) { Sys.sleep(3);error <- error + 1;next}
+if(status == 2) {break}
+}
+if(code == 88) {  # rate limit exceeded
+wait <- errorCode88()
+Sys.sleep(wait)
+next
+}
+## END ERROR HANDLING ##
+# Delete unnecessary columns and add username and real name to dataframe
+tweets_temp <- tweets_temp[keep]
+tweets_temp <- cbind(user=user, name=name, tweets_temp)
+# Now sleep 3 second to dodge 300queries/15min limit
+cat("[",a,"/",nrow(acc_df),"] ", sep = "")
+cat("User: ",user," in loop: ",loop,". \n", sep = "")
+Sys.sleep(2)
+if(tweets_full$id_str[nrow(tweets_full)] == tweets_temp$id_str[nrow(tweets_temp)] && nrow(tweets_full) > 0) {
+cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
+break
+}
+## Last loop is reached. Now clear the data frame
+#     # Is the last tweet in tweets_temp from 2013?
+#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
+# Extract year of last tweet in tweets_temp
+year_last <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
+status <- year_last < 2014
+if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
+# Is even the first tweet older than 2014?
+year_first <- as.numeric(str_extract(tweets_temp$created_at[1], "\\d{4}$"))
+status <- year_first < 2014
+if(status) {
+cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+}
+#       # Delete all tweets other than from 2014
+#       old <- 0
+#       for(r in 1:nrow(tweets_temp)) {
+#         status <- str_detect(tweets_temp$created_at[r], "2014$")
+#         if(is.na(status)) {
+#           #status <- FALSE
+#           cat("[INFO] NA-Status in Tweet", r)
+#         }
+#         if(!status) { # Starting when tweet not from 2014
+#           old <- old + 1
+#         }
+#       }
+#       if(old > 0) {
+#         old <- old - 1
+#
+#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
+#         status <- str_detect(tweets_temp$created_at[1], "2014$")
+#         if(!status) {
+#           old <- nrow(tweets_temp)
+#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
+#         }
+#
+#         # delete all lines which are older than 2014
+#         tweets_temp <- head(tweets_temp, -old)
+#       }
+#       rm(old)
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+break  # End loop because 2013 is reached
+}
+# The last tweet is newer or equal 2014, so we need another loop
+else {
+# Setting max_id to gather next 200 tweets
+max_id <- tweets_temp$id_str[nrow(tweets_temp)]
+loop <- loop + 1  # just for stats
+tweets_full <- insertRow(tweets_full, tweets_temp)
+#rm(tweets_temp)
+}
+} # /repeat
+tweets_complete <- insertRow(tweets_complete, tweets_full)
+tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
+cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
+write.csv(tweets_complete, "tweets_complete.csv")
+# Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
+}
+rm(a, code, current, error, loop, max_id, name, query, r, status, user, wait, tweets_full, tweets_temp)
+rm(a, code, current, error, loop, max_id, max_count, year_first, year_last, name, query, status, user, wait, tweets_full, tweets_temp)
+rm(year)
+save(tweets_complete, file="tweets_complete.RData")
+tweets_complete2 <- tweets_complete
+View(tweets_complete2)
+tweets <- tweets_complete[!duplicated(tweets_complete), ]
+tweets <- na.omit(tweets)
+save(tweets, file="tweets.RData")
+rm(tweets_complete2)
+Sys.setlocale("LC_TIME", "C")
+tweets$created_at <- as.POSIXct(tweets$created_at, format = "%a %b %d %H:%M:%S %z %Y")
+tweets <- tweets[order(tweets$created_at), ]
+head(tweets)
+delrow <- NULL
+for(r in 1:nrow(tweets)) {
+if(format(tweets$created_at[r], "%Y") != "2014") {
+delrow <- c(delrow, r)
+}
+if(format(tweets$created_at[r], "%Y") == "2014") {
+break
 }
 }
+delrow <- NULL
+pb <- txtProgressBar(min = 0, max = total, style = 3)
+for(r in 1:nrow(tweets)) {
+setTxtProgressBar(pb, r)
+if(format(tweets$created_at[r], "%Y") != "2014") {
+delrow <- c(delrow, r)
 }
-cat(name1,":",acc,sep = "")
-for(i in 1:length(list1)) {
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:length(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-acc <- as.character(list2$screenname[a])
-#cat(name1,":",acc,"\n",sep = "")
-cat("Found\n")
+if(format(tweets$created_at[r], "%Y") == "2014") {
+break
 }
 }
+pb <- txtProgressBar(min = 0, max = total, style = 3)
+pb <- txtProgressBar(min = 0, max = nrow(tweets), style = 3)
+for(r in 1:nrow(tweets)) {
+setTxtProgressBar(pb, r)
+if(format(tweets$created_at[r], "%Y") != "2014") {
+delrow <- c(delrow, r)
 }
-a
-for(i in 1:nrow(list1)) {
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-acc <- as.character(list2$screenname[a])
-cat(name1,":",acc,"\n",sep = "")
-#cat("Found\n")
+if(format(tweets$created_at[r], "%Y") == "2014") {
+break
 }
 }
+tweets <- tweets[-delrow, ]
+rm(delrow, r)
+summary(tweets)
+tweets$created_at[140000]
+tweets$created_at[130000]
+tweets$created_at[1]
+tweets$created_at[2]
+tweets$created_at[100]
+tweets$created_at[141086]
+delrow
+delrow <- NULL
+for(r in 1:nrow(tweets)) {
+if(format(tweets$created_at[r], "%Y") != "2014") {
+delrow <- c(delrow, r)
 }
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-cat(name1," --> ",acc,"\n",sep = "")
+if(format(tweets$created_at[r], "%Y") == "2014") {
+break
 }
 }
-if(detect) {
-cat("\n")
-}
-}
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-cat(name1," --> ",acc,"(",name2,")","\n",sep = "")
-}
-}
-if(detect) {
-cat("\n")
-}
-}
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-cat(name1," --> ",acc," (",name2,")","\n",sep = "")
-}
-}
-if(detect) {
-cat("\n")
-}
-}
-c(name1," --> ",acc," (",name2,")","\n",sep = "")
-str_c(name1," --> ",acc," (",name2,")","\n",sep = "")
-str_c(name1," --> ",acc," (",name2,")")
-result <- str_c(name1," --> ",acc," (",name2,")")
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-result <- str_c(name1," --> ",acc," (",name2,")")
-write(result, "merge.txt", append = TRUE)
-}
-}
-if(detect) {
-write("", "merge.txt", append = TRUE)
-}
-}
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-verif <- as.character(list2$verified[a])
-result <- str_c(name1," --> ",acc," (",name2,") ",verif)
-write(result, "merge.txt", append = TRUE)
-}
-}
-if(detect) {
-write("", "merge.txt", append = TRUE)
-}
-}
-for(i in 1:nrow(list1)) {
-detect <- FALSE
-name1 <- as.character(list1$name[i])
-lastname1 <- str_extract(name1, "\\w+")
-for(a in 1:nrow(list2)) {
-name2 <- as.character(list2$name[a])
-if(str_detect(name2, lastname1)) {
-detect <- TRUE
-acc <- as.character(list2$screenname[a])
-verif <- as.character(list2$verified[a])
-result <- str_c(name1," --> ",acc," (",name2,") ",verif)
-write(result, "merge.txt", append = TRUE)
-}
-}
-if(detect) {
-write("", "merge.txt", append = TRUE)
+pb <- txtProgressBar(min = 0, max = nrow(tweets), style = 3)
+for(r in 1:nrow(tweets)) {
+if(format(tweets$created_at[r], "%Y") != "2014") {
+delrow <- c(delrow, r)
 }
+setTxtProgressBar(pb, r)
 }
+tweets <- tweets[-delrow, ]
+tweets$created_at[137800]
+tweets$created_at[137876]
+rm(delrow, r)
+rm(pb)
+tweets$created_at <- format(tweets$created_at, "%Y-%m-%d")
+tweets$created_at[137876]
+save(tweets, file="tweets.RData")
+readLines("twitter-api-consumerkey.txt")
+api_params2 <- api_params
+readLines("twitter-api-consumerkey.txt")
+readLines("twitter-api-consumerkey.txt")[2]
+readLines("twitter-api-credentials.txt")[2]
+readLines("twitter-api-credentials.txt")[1]
+api_params <- c(
+"oauth_consumer_key"     = readLines("twitter-api-credentials.txt")[2],
+"oauth_nonce"            = NA,
+"oauth_signature_method" = "HMAC-SHA1",
+"oauth_timestamp"        = NA,
+"oauth_token"            = readLines("twitter-api-credentials.txt")[4],
+"oauth_version"          = "1.0",
+"consumer_secret"        = readLines("twitter-api-credentials.txt")[3],
+"oauth_token_secret"     = readLines("twitter-api-credentials.txt")[5]
+)
+api_params
+api_params2
+rm(tweets_complete)
+rm(api_params2)
+source("issuecomp-functions.R")
diff --git a/issuecomp.R b/issuecomp-analysis.R
similarity index 100%
rename from issuecomp.R
rename to issuecomp-analysis.R
diff --git a/functions.R b/issuecomp-functions.R
similarity index 100%
rename from functions.R
rename to issuecomp-functions.R
diff --git a/extract-twitter-accounts.R b/issuecomp-scraping.R
similarity index 83%
rename from extract-twitter-accounts.R
rename to issuecomp-scraping.R
index 97f24a6..d3bb2c3 100644
--- a/extract-twitter-accounts.R
+++ b/issuecomp-scraping.R
@@ -7,7 +7,7 @@ require(RTwitterAPI)
 
 setwd("~/Dokumente/Uni/Aktuell/BA-Arbeit/uni-ba-issuecomp")
 
-source("functions.R")
+source("issuecomp-functions.R")
 
 
 #acc_url <- "http://www.bundestwitter.de/api/politiker"
@@ -118,15 +118,15 @@ for(a in 1:nrow(acc_df)) {
       cat("[INFO] Last tweet of temp is last tweet of full. Abort loop and begin with next user.\n")
       break
     }
-   
-    ## Last loop is reached. Now clear the data frame
-#     # Is the last tweet in tweets_temp from 2013?
-#     status <- str_detect(tweets_temp$created_at[nrow(tweets_temp)], "2014$")
+    
+    ## CHECK if we need another loop
     
     # Extract year of last tweet in tweets_temp
     year_last <- as.numeric(str_extract(tweets_temp$created_at[nrow(tweets_temp)], "\\d{4}$"))
     status <- year_last < 2014
-    if (status) { # Starting when tweet is earlier than 2014 (i.e. 2013, 2012...)
+    
+    # Is last tweet earlier than 2014? So break the loop
+    if (status) {
       
       # Is even the first tweet older than 2014?
       year_first <- as.numeric(str_extract(tweets_temp$created_at[1], "\\d{4}$"))
@@ -135,35 +135,7 @@ for(a in 1:nrow(acc_df)) {
         cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
       }
       
-#       # Delete all tweets other than from 2014
-#       old <- 0
-#       for(r in 1:nrow(tweets_temp)) {
-#         status <- str_detect(tweets_temp$created_at[r], "2014$")
-#         if(is.na(status)) { 
-#           #status <- FALSE
-#           cat("[INFO] NA-Status in Tweet", r)
-#         }
-#         if(!status) { # Starting when tweet not from 2014
-#           old <- old + 1
-#         }
-#       }
-#       if(old > 0) {
-#         old <- old - 1
-#         
-#         # If even the first entry isn't from 2014, we have to set "old" manually because of a bug
-#         status <- str_detect(tweets_temp$created_at[1], "2014$")
-#         if(!status) {
-#           old <- nrow(tweets_temp)
-#           cat("[INFO] Timeline enhält keinen einzigen aus 2014\n")
-#         }
-#         
-#         # delete all lines which are older than 2014
-#         tweets_temp <- head(tweets_temp, -old)
-#       }
-#       rm(old)
-
       tweets_full <- insertRow(tweets_full, tweets_temp)
-      #rm(tweets_temp)
       break  # End loop because 2013 is reached
     }
     
@@ -174,7 +146,6 @@ for(a in 1:nrow(acc_df)) {
       loop <- loop + 1  # just for stats
       
       tweets_full <- insertRow(tweets_full, tweets_temp)
-      #rm(tweets_temp)
     }
   } # /repeat
   
@@ -182,7 +153,6 @@ for(a in 1:nrow(acc_df)) {
   tweets_full <- head(tweets_full, -nrow(tweets_full)) # Empty tweets_full
   cat("User:",user,"finished after",loop,"loops. Total Tweets now:",nrow(tweets_complete),"\n")
   write.csv(tweets_complete, "tweets_complete.csv")
-
   
   # Every tweet from 2014 or newer from user[a] is downloaded. Now next user in for-loop
 }