Fig 8. Rank divergence allotaxonograph [68] for 1-grams from Trump account tweets authored after Trump’s declaration of his candidacy on June 16, 2015.
“Ratioed” tweets are those where the proportion of retweets over replies is less than 1 (Nretweets/Nreplies < 1), non-ratioed tweets accumulated a ratio greater than 1 (Nretweets/Nreplies > 1). There is a notable class imbalance. The majority of tweets are non-ratioed, with a median value of ∼ 2. To generate the above figure we examined 3,313 ratioed tweets and 15,274 non-ratioed tweets. The 1-grams “Fake”, “News”, “Russia” and “NFL” are ranked higher in the ratioed corpus. For the non-ratioed corpus, the 1-grams “Jeb”, “Carolina”, and “Ted” are ranked higher. This illustrates the tendency of ratioed tweets from this period to contain more politically contentious 1-grams related to Trump scandals. Non-ratioed tweets from this period more often contain campaign related messages. In the main horizontal bar chart, the numbers next to the terms represent their rank in each corpus, while terms that appear in only one corpus are indicated with a rotated triangle. The smaller three vertical bars describe the balances between the ratioed and non-ratioed corpora: 77.1% of total counts occur in the non-ratioed corpus; we observe 90.3% of all 1-grams in the non-ratioed corpus; and 61.7% of 1-grams in the non-ratioed corpus are unique to that corpus.