rtweetXtras

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rtweetXtras

A collection of helper functions for twitter analysis using the {rtweet} package. NB: these functions have MANY dependencies… no warranty is offered, but please feel free to log issues.

To install the package, use the {remotes} or {devtools} package: remotes::install_github("arf9999/rtweetXtras")

hashtagcloud

hashtagcloud(rtweet_timeline_df, num_words = 200)

Delivers a wordcloud of hashtag terms in an rtweet tibble.

df <- rtweet::get_timeline("jack", n=1000)
rtweetXtras::hashtagcloud(df, n=200)

profilecloud

profilecloud(rtweet_timeline_df, num_words = 200)
Delivers a wordcloud of terms in unique twitter user profiles in an rtweet tibble.

df1 <- rtweet::search_tweets("rstats",lang = "en", n= 2000)
rtweetXtras::profilecloud(df1, 100)

bar_plot_mentions

bar_plot_mentions(rtweet_df, no_of_bars = 20, title = NULL)
Delivers a bar plot of the count of user mentions in an rtweet tibble. Defaults to top twenty mentioned accounts.

df1 <- rtweet::search_tweets("#rstats", lang = "en", n = 2000)
rtweetXtras::bar_plot_mentions(df1, 20, title = paste("Barplot of user mentions in twitter search for \"#rstats\"", Sys.Date()))

common_follower_analysis

common_follower_analysis (user_list, follower_depth = 200, no_of_sets = 7, token = NULL)
This function creates an UpSetR graph of common followers Code cribbed from Bob Rudis’ 21 Recipes for Mining Twitter with Rtweet https://rud.is/books/21-recipes/visualizing-intersecting-follower-sets-with-upsetr.html

 rstats_list <- c("hadleywickham", "dataandme", "juliasilge", "statgarrett","thomasp85")
 
rtweetXtras::common_follower_analysis(rstats_list, follower_depth = 1000, no_of_sets = 5, token = NULL)

common_follower_matrix

common_follower_matrix (user_list, follower_depth = 200, token = NULL)
This function creates a matrix of followers of a list of twitter users, sums the number of common followers, and then ranks them in descending order.

  rstats_list <- c("hadleywickham", "dataandme", "juliasilge", "statgarrett","thomasp85")

 fm <- rtweetXtras::common_follower_matrix(rstats_list, follower_depth = 200, token = NULL)
 dplyr::glimpse(fm)

## Rows: 857
## Columns: 9
## $ screen_name       <chr> "noraamcintyre", "theariffrank", "KhizrahKk", "tric…
## $ user_id           <chr> "474042503", "950270090590617602", "732584991192940…
## $ hadleywickham     <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, …
## $ dataandme         <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, …
## $ juliasilge        <dbl> 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, …
## $ statgarrett       <dbl> 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, …
## $ thomasp85         <dbl> 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, …
## $ sum_intersections <dbl> 5, 5, 5, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, …
## $ ranking           <int> 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, …

account_activity

account_activity(account_name, depth = 3200, time_zone = "Africa/Johannesburg", no_of_weeks = 4, token = NULL)
This function creates a bubble plot of account activity by hour of a single twitter screen_name
(inspired by python script by twitter user “@Conspirator0”)

 rtweetXtras::account_activity("arfness", depth = 1000, time_zone = "Africa/Johannesburg", no_of_weeks = 5, token = NULL)

Other functions

The package includes some additional tools and wrappers for rtweet functions:

get_followers_fast and get_friends_fast wrap rtweet functions to deliver a tibble of followers/friends that includes user details. In addition it is possible to pass a list of tokens to the function to manage ratelimiting when querying accounts with large following/friendship.

number_followers allocates a number to the following order in a tibble of followers, and adds a column that indicates the earliest possible following date.

rtweet_net and save_csv_edgelist are functions to create an igraph network and to save that as an edgelist for use in external visualisation software. This is not being maintained - replaced by create_gexf

create_gexf creates a gexf file for export to Gephi for visualisation.

write_csv_compatible saves a csv file of an rtweet tibble with a modified “text” column to include “RT @retweet_screen_name:” for all Retweets. Original text column is saved as additional column “text2”