Rising and falling subreddits according to virality trends

For the past week, I’ve been mapping out virality trends on various subreddits to better understand how posts go viral on reddit. As a neat side effect, I discovered a method to detect rising and falling subreddits. Basically, a “rising” subreddit is one that has a large, steady increase in hotness over time (blue to red), whereas a “falling” subreddit is going in the opposite direction (red to blue).

Rising subreddits

Here’s the rising subreddits I’ve manage to detect: /r/4chan, /r/AlienBlue, /r/AskWomen, /r/battlestations, /r/Demotivational, /r/Diablo, /r/dubstep, /r/Fallout, /r/IWantToLearn, /r/JusticePorn, /r/learnprogramming, /r/MorbidReality, /r/Steam, /r/TrueReddit, /r/woahdude

4chan-hotness-heatmap

AlienBlue-hotness-heatmap

AskWomen-hotness-heatmap

battlestations-hotness-heatmap

Demotivational-hotness-heatmap

Diablo-hotness-heatmap

dubstep-hotness-heatmap

Fallout-hotness-heatmap

IWantToLearn-hotness-heatmap

JusticePorn-hotness-heatmap

learnprogramming-hotness-heatmap

MorbidReality-hotness-heatmap

Steam-hotness-heatmap

TrueReddit-hotness-heatmap

woahdude-hotness-heatmap

Falling subreddits

Here’s the falling subreddits I’ve managed to detect: /r/itookapicture, /r/MURICA, /r/Frugal, /r/Health, /r/Homebrewing, /r/keto, /r/loseit, /r/progresspics, /r/sex, /r/travel

itookapicture-hotness-heatmap

MURICA-hotness-heatmap

Frugal-hotness-heatmap

Health-hotness-heatmap

Homebrewing-hotness-heatmap

keto-hotness-heatmap

loseit-hotness-heatmap

progresspics-hotness-heatmap

sex-hotness-heatmap

travel-hotness-heatmap

Dr. Randy Olson is a Senior Data Scientist at the University of Pennsylvania, where he develops state-of-the-art machine learning algorithms with a focus on biomedical applications.

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