purple: clojure(script) blue: startup culture???pic.twitter.com/H2091Ta8gf
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purple: clojure(script) blue: startup culture???pic.twitter.com/H2091Ta8gf
@0x49fa98
Big fish: @Outsideness @KANTBOT20K @wrathofgnon @Steve_Sailer @AngloRemnant @lovecryption @Logo_Daedalus @GRITCULT @owenbroadcast @nmgrm @QuasLacrimas
blue: accelerationism, esoteric philosophy
orange: weird rationalists?
pink: ????pic.twitter.com/0Mfp2MeBZs
purple: 4channish, ironic humorpic.twitter.com/9WO2ryblxq
@VincentHorn
Big fish: @dthorson @BuddhistGeeks @Meaningness @ShinzenYoung @SharonSalzberg @danielmingram @BobThurman @EmilyHorn @OortCloudAtlas @cognazor @peternlimberg
orangish-red: traditional buddhism
green: less traditional buddhism
blue: insight, game b?pic.twitter.com/yf6uA4hzaI
This is interesting, but "Traditional Buddhism" makes absolutely no sense in this context to me.
I was loose with the names. Just what it seemed like to me at the moment. The red looks more institutional, traditional (to me). The green looks more cowboy, non-traditional (to me). How do you see it?
I'm a disinterested (in the classic meaning of that word) party here, Menander, and I don't think Buddhist Geeks or Emily Horn as an individual teacher belong in a 'traditional' category.
At least 1 well known american zen teacher would also strongly dispute labelling BG or Emily as "traditional" More importantly I think BG's inquiry into "meta-dharma" cuts against classifying them as trad
Hello. These graphs weren't made manually. The location, size, and color of the nodes are done algorithmically. I was just trying to name the colors as best I could at the moment :P It appears that BG is right on the edge between the orange-red and the green, and is
(literally) surrounded by greens. That seems accurate to me. If you were forced to, what would you name the orange-red and green groups?
I’m not sure what the algorithm is picking up on here. I don’t know everyone it shows, but none of the ones I do know are remotely traditional. Mixture of modern and pomo/meta. I couldn’t readily discern a consistent pattern to who’s in green vs red.
If the algorithm lets you order nodes on a continuous scale of redness to greenness, looking at the outliers might give some insight. But it might be noise, with an arbitrary threshold. Quantitating the value that got thresholded into colors might reveal that.
A continuous color algorithm would be very neat. But, to me the proximity (totally separate algorithm) helps with the edge cases. If you want to 'understand' a color, imo, look towards the outskirts which aren't connected to any other group
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