You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
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
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 
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).
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
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?
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’)
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.
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 dinner
Wow even just looking at Micah's Twitter profile and blocks profile (https://bl.ocks.org/micahstubbs ) was more helpful that a few hours of googling about data vis.
distilled knowledge
for more folk recommendations along the citation graph vis path, suggest exploring examples at
https://blockbuilder.org/search?text=citation+graph …
+
@vastur's work via his tweetstream
This example may be relevant, it follows the pattern of references between authors:https://bl.ocks.org/vasturiano/321a770c3f4b041d1a4f40f1f4ecbb6c …
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
