Graphing Reddit: Insights Through Data Analysis

An overview of Reddit's communities, as well as it's weirder side.
Images and code: github.com/wojciech-graj/redd...
Music: Nocturnes, Op. 48: No. 2 in F-Sharp Minor performed by Arthur Rubinstein
0:00 Introduction
0:31 What does the data mean?
1:40 Community composition
3:16 NSFW, referencers, and the referenced
4:35 Most referenced nonexistent subreddits
5:03 Negative subscribers and invalid names?
6:21 Conclusion
6:49 Addendum

[@eliatkinson634]

Reminds me of the Wikipedia map, nice work 👍

[@Artem-tm5gg]

When I saw the Wikipedia graph, I started to think that it would be cool to make one but about Reddit's communities. And now I can see it, this is so cool, amazing work!

[@bartoszszatkowski1376]

Great video! I am waiting for another one with great anticipation!

[@solar_genesis]

The artwork is actually beautiful

[@henriquebecker2713]

I'm actually surprised that NSFW is not bigger. The karma origin studies always put them on most responsible for high karma. Maybe if the size was adjusted by amount of karma given the size would be different.

[@jackdennison1158]

It's one of the densest parts of this map, and I'm not surprised. It's actually quite huge compared to the rest of the clusters

[@gameplayer4817]

You should try and make a timelapse with the size of each node depending on the number of active users for each subreddit. Then run it for a month or something to see the graph change

[@fusionzee7893]

Awesome!

[@iankerr7582]

great video

[@williu02]

Nice video. Where / how did u get the data?

[@michaelstevenson5044]

Do youtube next!

[@Random42047]

Nerd