Brexit April 2017 Twitter data – from 17-03-31 13:53:00 – 17-04-10. The data set contains a total of 1,149,080 tweets and counting.
Tim Berners-Lee: selling private citizens’ browsing data is ‘disgusting’
A social graph by mentions in the #Brexit Twitter hashtag collection from 30th March to 3rd April 2017 (429.824 tweets archived so far (and counting)) A directed graph based on interactions between top 500 users. If a user mentions another one, a directed link is created. The more often a user mentions another, the stronger the link (“link weight”). The “count” value contains the number of tweets for each user in the specified period. It shows the patterns in communication, finds “hubs” and “communities”, categorize user accounts.
Currently testing Supermetrics and its ability to archive a list of terms from various social media platforms in Google Spreadsheets. So far so good. The live and regularly updated interactive graphs that follow are based on an ongoing collection of
“bigdata, socialmedia, social media, digital media, digitalmedia, media studies and mediastudies”
Trending Terms According to Google Trends
Pinterest Board Members that contain one or more of the list of terms above
Reddit Comments and Upvotes on the list of terms above – this is interactive and updates frequently.
A new toy to play with…
Data Meets Art – The Data Scientists as Peacocks