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 9 retweets 49 likesShow this thread -
Are there arrowheads for directed edges? I suspect main link between me and Sarah would be me citing weaponized sacredness. There *should* be low coupling between contributors per “intellectual hedge fund” model since I turn away pitches that are too close to existing trails.
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Not yet! I am terrible at this visualization stuff so I'm moving through it slowly. I should really bug
@micahstubbs, especially since I met him through your ribbonfarm reader dinner2 replies 0 retweets 1 like -
:o ribbonfarm reader dinner?! How do I get on that train?!
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There’s irregular meetups in Bay Area, NY, and Austin and also annual refactor camp (next one in LA, June 2019, stay tuned) I join/organize if I’m in a place with critical mass
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Oof, sad I missed it... will have to pay more attention to your Bay Area travel schedules
@vgr! Also, hi@micahstubbs, I think we met at a ML/Keras meetup a few years back?
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