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
2 replies 0 retweets 2 likes
I’m all for it
Guest post open to anyone who does a revealing viz
My guess is that best viz would be long and skinny graph with time along long axis. For a chronological information set, time order and temporal distance of a citation are hugely informative.
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