Twitter Data Visualization of #nerdpickuplines
- Who was responsible for the growth of the meme, a few extremely active users, or a much larger, but less active group?
- How much of the activity was original, versus simply retweeting (reposting) what someone else had Tweeted? Did the retweets create any subsequent growth?
Note: if you’re unfamiliar with Twitter, a “Tweet” is a post. For more information on Twitter, see Wikipedia.
To answer these questions I built the display as a network graph, with each dot representing a single user. The position of each dot is determined by the time they first tweeted. The color and size change depending on the mode the display is set to:
|Mode||Color #1||Color #2||Size represents|
|Original/Retweet||Blue: Original Tweet||Green: Retweet (repost)||Number of Tweets by the user|
|Poster/Followed||Black: This user Tweeted||Red: Someone who follows this user Tweeted||Number of users that follow this user and have Tweeted within the meme|
As time advances, nodes appear (representing the user’s first Tweet within the hashtag), and then the color fades away; that way nodes which have recently Tweeted will be brighter than nodes which Tweeted long ago.
I had originally hoped to display all the information using only one mode, but it was so noisy it was incomprehensible.
You may need to enlarge your screen to see this.