Social media analysis during political turbulence, DATA

This the data necessary for reproduction of the paper titled "Social media analysis during political turbulence"<br><br

Summary of user tweets sentiment values per each entity followed by the number of tweets.

In this plot, we mention 3 important dates in the dataset, where 29/09 is the date of the first debate, 2/10 the date when Donald Trump was tested positive for COVID-19, and 22/10 the date of the last election debate.</p

The 10 most popular hashtags in our dataset.

The 10 most popular hashtags in our dataset.</p

Top retweeted users (highest out degree).

Top retweeted users (highest out degree).</p

Retweet graph relation between users in our dataset.

Colours represent entity activity by users. Red colour entity Trump and blue color entity Biden.</p

S1 Text - What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020

(TXT)</p

Normalized sentiment values of user tweet per each entity followed by the number of tweets.

In this plot, we mention 3 important dates in the dataset, where 29/09 is the date of the first debate, 2/10 the date when Donald Trump was tested positive to COVID-19, and 22/10 the date of the last election debate.</p

Retweet graph relation between users in our dataset.

Colours represent entity activity by users. Red colour entity Trump and blue color entity Biden.</p

CDF distribution of tweets per day.

CDF distribution of tweets per day.</p

CDF distribution of the daily tweets per hashtag.

CDF distribution of the daily tweets per hashtag.</p