Want:
• Scrape popular self-referential blogs (@ribbonfarm, LessWrong sequences, @slatestarcodex, maybe @gwern?)
• For each, construct dependency graph: what old posts do new posts reference? Simplify by hand
Find guiding abstractions. May suggest entry points for new readers
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Completely unsurprisingly if you've read a bunch of
@vgr, but if you just count the number of self-referential links on@ribbonfarm then "A Big Little Idea Called Legibility" comes out on top by far! Haven't done dependency graph yet which may be more interesting. Raw counts:pic.twitter.com/9uWSYCb4uH
3 replies 1 retweet 21 likesShow this thread -
Well, here is a few hour attempt at visualizing
@ribbonfarm's blog post dependency graph: • Note how central the legibility post is! Even Gervais Principle pales in comparison. • Orange is@vgr, blue is@sarahdoingthing. As you might expect, they don't cite each other much!pic.twitter.com/0kXWsfzwSq3 replies 8 retweets 46 likesShow this thread -
Replying to @backus @ribbonfarm and
would love to fork that example and have a go at drawing the
@ribbonfarm blog post citation graph would be swell if@backus were to publish the script and/or dataset in a github repo
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Replying to @micahstubbs @ribbonfarm and
The code to generate the dataset is a total kludge of ruby scripts, but I actually just generated a better CSV of in-blog references which you can use: https://gist.github.com/backus/fc62897e3703a750823a1ed809f1e6ed … (cc
@vgr you may also enjoy just exploring that table).2 replies 0 retweets 2 likes -
Replying to @backus @micahstubbs
I bet you'd be better off just starting from scratch. I'd love to learn from what you make. Things I wanted: • Less lag + no chaotic initial render • Detect subnetwork clusters, separate more • Nicer labeling. Avoid text overlap? Imagine you see much more due to better taste
2 replies 0 retweets 1 like -
Replying to @backus @micahstubbs
Stretch goals/ideas I was curious about: • See what happens if we treat "rust age"
@vgr (2007 - 2012) as separate author from (2012 - 2018) • Play w/, detect, visualize "chains" of citations? Ex: Maybe legibility node should be even bigger if posts that cite it are freq cited?1 reply 0 retweets 1 like
Nuance. A terminology citation is a different beast than a prereq citation. Not sure how to tell those apart structurally. If I were less sloppy I’d be linking “legibility” citations mostly to glossary except for ones where I actually extend Scott (eg GP3, ‘status illegibility’)
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