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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
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
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/0kXWsfzwSq
Could be a cool holiday project! Let me know if you end up compiling the data. There's usually pretty cool patterns hidden in these network structures, ie:https://faingezicht.com/projects/2015/03/07/pg/ …
Strongly suggest throwing a little AI at this question. Also use tools like a thesaurus to simplify, then look for common themes, ideas, etc. Have had an idea for a "startup" that "reads" clusters of books to find the meaning of life. Never got round to it though.
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