Mapping and Analysing Subreddits
Mapping and Analysing Subreddits launched on May 4, 2017 with 21 votes, #746 of 3,229 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 9 years on.
In plain words
This is a Python notebook that maps and analyzes the 10,000 most popular subreddits on Reddit by measuring similarity between communities based on user commenting overlaps. It uses vector algebra to explore relationships between subreddits and visualize the broader landscape of Reddit communities. The tool helps users understand how different subreddits relate to and cluster with one another.
written from the facts on this page · September 2026
From the sources
The goal of this notebook is to build and analyse a map of the 10,000 most popular subreddits on Reddit . To do this we need a means to measure the similarity of two subreddits. In a great article on FiveThirtyEight Trevor Martin did an analysis of subreddits by considering the overlaps of users commenting on two different subreddits. Their interest was in using vector algebra on representative vectors to look at, for example, what happens if you remove r/politics from r/The_Donald . Our interest is a little broader -- we want to map out and visualize the space of subreddits, and attempt to cluster subreddits into their natural groups. With that done we can then explore some of the clusters…from lmcinnes.github.io
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