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Galaxy v2

Today we’re excited to release a big update to the Galaxy visualization, an interactive UMAP plot of graph embeddings of books and articles assigned in the Open Syllabus corpus! (This is using the new v2.5 release of the underlying dataset, which also comes out today.) The Galaxy is an attempt to give a 10,000-meter view of the “co-assignment” patterns in the OS data – basically, which books and articles are assigned together in the same courses. By training node embeddings on the citation graph formed from (syllabus, book/article) edges, we can get really high-quality representations of books and articles that capture the ways in which professional instructors use them in the classroom – the types of courses they’re assigned in, the other books they’re paired with, etc.

The new version is a pretty big upgrade from before, both in terms of the size of the slice of the underlying citation graph that we’re operating on, and the capabilities of the front-end plot viewer. The plot now contains the 1,138,841 most frequently-assigned books and articles in the dataset (up from 160k before) and shows 500,000 points on the screen at once (up from 30k before).

Under the hood, this is a pretty straightforward transformation of the raw citation graph that comes out of the OS data pipeline. The citation extractor identifies references to books and articles in the syllabus, which can take a few different forms – lists of required books, week-by-week reading assignments, bibliographies, etc. Eg, from “Statistical

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