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@cgrinker
Created November 18, 2021 02:05
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NFT Shitpost Sources

NFT Drama Data Analysis

Now that the drama has died down about NFTs because of a Kyle (not the one that told Destiny about Justin.tv) there is still an outstanding question: How long do haters stay mad about ungrounded axioms?

An Example Hater

Hypothesis:

Experts estimate a period of two (2) days that Haters Stay Mad, Big Bag has them Big Mad, et al:

All right: we're done with that sponsor okay? Listen I told you guys a month ago. I'm going ultra sellout. I'll take any sponser that comes to me. I don't give a fuck.
I'm trying to cash out and get out of here before I get banned from this garbage ass website. When I said it before everybody laughed and thought I was joking, I'm not joking okay? If someone comes to me with a sponsor I will do it.
...
Clip that one, suck my dick. Be mad at me for two days on LSF. 

image

Methods

  • The top 1000 reddit posts in /r/destiny from the last 30 days by karma were scraped.
  • Posts from before the eternel.gg Tweet (60 total) were culled.
  • Posts were split into two catagories by whether their title or selftext contained the string NFT (case insensitive)
  • Posts containing the search string were assumed implicitly negative. Any postive posts are assumed to be made by Destiny stands worried about their social credit.
  • Graphs are left unsmoothed, much like the large brained readers currently in this thread.

Results

Post Count vs Karma Generation, 30 Day Period

NFTGate Produced a 1.58 Karma Multiplier (KM) against it's post count

image image

Discussion Profile by Flair Type

NFTGate produced a higher Shitpost and higher discussion percentile than other posts. Visualization of general flairs is complected by the use of "BIG IF TRUE" and "BINGCHILLING." Shitposting makes up just over half of subreddit content in general. Rejoice fellow proletariot in our sucsseful campagain against the mods

image image

Distribution of Posts per Day: Count vs Karma.

  • Peak posting occurs 15 days after eternal GG announcement. While post count never surpasses general discourse karma briefly shifts in favor of NFTGate during the peak.
  • Both Karma and total posts drop off substantially after three days.
  • Attempts for the terminally mad fail to produce a viral response 10 days after the intial peak.

image

image

Conclusions

NFTGate produced a highly leveraged (~1.5) post to karma response, and at it's peak became the dominant strain of DGG reddit drama. However it suffers a rapid, albiet attenuated falloff (~3.5 days vs an expected 2), and fails to reinfect the DGG host like other memes better designed to evade the immune system (eg BING CHILLING, starting shit with RTBA/4THOT, Linking to Kacey's Reddit comment history, Sigma Male memes)

import fetch from 'node-fetch';
import {writeFile} from 'fs/promises';
console.log("Yee");
function authHeader() {
const data = `${process.env.REDDIT_APP_ID}:${process.env.REDDIT_SECRET}`;
const buf = Buffer.from(data);
return buf.toString('base64');
}
interface RError {
error: string
}
interface Token {
access_token: string;
token_type: string;
expires_in: number;
scope: string;
}
async function auth(): Promise<Token&RError> {
return await (await fetch('https://www.reddit.com/api/v1/access_token', {
method: "POST",
headers: {
"Authorization": `Basic ${authHeader()}`,
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "github.com/cgrinker"
},
body: `grant_type=password&username=${process.env.REDIT_USER}&password=${process.env.REDDIT_PASSWORD}`,
})).json()
}
// EPOCH: 1634757420
async function wait(ms: number) {
return new Promise((yes, no) => {
setTimeout(()=>{yes(true)}, ms);
});
}
async function fetchPosts(token: string, after?: string) {
const query = after != "" ? `&after=${after}`: ""
return await (await fetch(`https://www.reddit.com/r/Destiny/top.json?t=month&limit=100${query}`, {
method: "GET",
headers: {
//"Authorization": `Bearer ${token}`,
// "Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "github.com/cgrinker"
},
})).json()
}
async function main() {
try {
const token = await auth();
if(token.error) {
throw token.error;
}
else {
let after = "";
let length = 1;
do
{
const p = await fetchPosts(token.access_token, after);
length = p.data.children.length;
after = p.data.children[p.data.children.length -1].data.name;
await writeFile(`data/${after != "" ? after: "00"}.json`, JSON.stringify(p));
await wait(250);
}
while(length != 0)
}
}
catch(e) {
console.error(e);
}
}
main();
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 151,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 3840x3840 with 0 Axes>"
]
},
"execution_count": 151,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<Figure size 3840x3840 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import json\n",
"import os\n",
"import datetime\n",
"from matplotlib import pyplot as plt\n",
"from matplotlib.pyplot import figure\n",
"\n",
"figure(figsize=(12, 12), dpi=320)"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {},
"outputs": [],
"source": [
"blobs = []\n",
"for d in os.listdir(\"data\"):\n",
" with open(f\"data/{d}\", encoding = 'cp850') as f:\n",
" blobs.append(json.loads(f.read()))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [],
"source": [
"posts = []\n",
"for b in blobs:\n",
" for p in b[\"data\"][\"children\"]:\n",
" posts.append(p[\"data\"])"
]
},
{
"cell_type": "code",
"execution_count": 184,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"940"
]
},
"execution_count": 184,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"UTC_START = 1634716800\n",
"DAY0 = datetime.datetime.fromtimestamp(UTC_START)\n",
"\n",
"posts_before = list(filter(lambda a: a[\"created_utc\"] < UTC_START, posts))\n",
"posts_after = list(filter(lambda a: a[\"created_utc\"] > UTC_START, posts))\n",
"\n",
"posts_before.sort(key = lambda a: a[\"created_utc\"])\n",
"posts_after.sort(key = lambda a: a[\"created_utc\"])\n",
"\n",
"len(posts_after)"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [],
"source": [
"nfts = []\n",
"no_nfts = []\n",
"for p in posts_after:\n",
" t = p[\"title\"].lower()\n",
" s = p[\"selftext\"].lower()\n",
" y = \"nft\" in t or \"nft\" in s\n",
" if y:\n",
" nfts.append(p)\n",
" else:\n",
" no_nfts.append(p)\n",
"\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
"labels = 'NFT', 'Others'\n",
"sizes = [len(nfts), len(no_nfts)]\n",
"\n",
"fig1, ax1 = plt.subplots()\n",
"ax1.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
" shadow=True, startangle=90)\n",
"ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n",
"plt.title(f\"Distribution of Posts By Type {sizes}\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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hA/gJwvXLXa1M5SQNXZW8cMh/XPuvPrcyPvRyoEZEiiAvg7YnAeBE53I74dC/sKdx/xvh+gZXK1M5Q8fpqj0LhyaZW0K3x+Ksvizy+M9F5EudgVvABDgOuA9YRzj0IOHQ0S7XpHKAtnRV98IhAc6Nxs21Po8cJQJegVO97xT/xO3ask8JcClwKeHQB8DvgYe09au6oy1dtbNwyBu9ueLSjphZDDzu88hRiYtHlbSXH9T+zsYebq3gAOB3wCrCoZ8QDu15YJsqKBq6ygqHApGbKq7qiJkVPo88GPDK3j2tejl/b8lkaTmqArgRWEE4dKuGr+qkoVvowqGSjpsqru2ImVV+r9wb8MqoPd3k5OAnVf54ezrGyRaCCuC/2RG+A90uSLlLQ7dQhUPethsrro3EzOqAV+4IeGVosjct9cWLz+h4bm1/lpeHOsN3uYZvYdPQLUAbvl9+cnOHWVLskzv8XunV194Zvhf1tdM7neG7jHDoasIhfR4LjP7DC0jDDyuGbfx++bNDg55/BgOyV1+2NS24afjg6PrmdNVWgELYHW5vEA4d6HYxKnM0dAtBOORde135zcU+lg8Jek5LxyY9glwceXJTOrZV4A4D3iYcupNwqMztYlT/09DNc2uuKz+xod18Mrzc86OAV4rTue0vlbylIZEeXuAaYCHh0DluF6P6l4ZunvrwP8uK1lxX/sjwMnmxokjG9sd9jCpuG3RA+3va2k2f0cBMwqFawqExbhej+oeGbh6afWnw6GFl8smIcs8F/T0vwhU8rf266XcW8B7hUI3bhaj009DNIzXVfnnzyuCPjx/rfXlwqWdkJu7zlODioV7TEc/EfRWYSuBpwqE7CIf0cP08oqGbJx4+t2TwnacWvXb4KN9NRT7xZ+p+y3zxks+3v7AmU/dXgK4FXiUc2uNBKyo3aOjmgRdmBE87Y6K/bu+B3qP2vHb6zfDNLpi5HV1yFDCfcOjzbhei+k5DN4fVVPs9b/1H8I7p47x/H1Airh3hdEjphuEDopt0Pob+NRh4lnDoNsIhr9vFqN7T0M1RF+7vD/1oetE/Dxvpu9bnEVffhF4PnouiT+nMY/1PgBuA2TqBTu7S0M1B3zuqaGJ4etHbBw73nuh2LZ3OL5obdLuGAnIi8JoOK8tNGro55rYTi4+55ojAa9WDvRPdriXR2JKWwft0fLTF7ToKyGTsIcRT3S5EpUZDN0fUVPvl/51cfP5Vh/ifGVnhSXpGsEy6wjzV6HYNBWYEMIdw6AS3C1HJ09DNATXVfs/0cd5vfePQwJ8Gl3pCbtfTk9NLPx7iMREds5tZFdgdbGe6XYhKjoZulqup9vtOmeC98euHBG6vKJKs7jct98dKP9f+8jq36yhAxdjDhy9wuxC1Zxq6Waym2l90+EjvzV85MHBDqT83zr47w/u8tnTd4Qf+Qjh0hduFqN3T0M1SNdX+oslDPDd9+/DAdbkSuACHB9cOr4hubXO7jgLlAf5AOPQFtwtRPdPQzUI11X7fhAFy7Q+OLvpWeZGUul1PKnwevBdEn17vdh0FzAs8Qjh0nNuFqO5p6GaZmmq/Z0S5XHX9MUXfH1AiFW7X0xsXFP07pz4o8lAxUEs4NMXtQtSuNHSzSE21XwaWyKX/fWzRLVVlnpw94mh8SfOQvTvqtrpdR4ELAc8RDo1zuxC1Mw3dLFFT7ZeyAOfedFzRT0eHPEPcrqevLo8/We92DYrh2EOGc/71lE80dLPHSf91dNHtEwZ6RrhdSDqcGVw4GBMzbtehmIgdx6unVsoSOjlyFqip9h912VT/bdOGece7XUu6VPqjZSc2v7rmpeITR3x2z1fwBErA40E8XoZf9uud1q1/8wmaF75i/4jHiGz+jFHf+guYOBtn3ka8vYnKYy+ldNKRAGx44idsO26Ql8oMP6jcdQjwKOHQmYTr9YPQZRq6Lqup9k88fKT3hi/s4zvY7VrS7TLPc7GXsHPyVF34U7yl3R9MFzr8PEKHnwdAy9I3aXj7abwl5TS8U0tw/xMJ7nscG/52C6WTjqRl6ZsEqiZQWd4Ry9gDyQ+nA9cDP3O7kEKn3Qsuqqn2V1YF5fvfOSJwvNfl6Rn7w5Flnw0vi9W3p3Kb5oVzCO5rRzuJ14eJdmBiERDBxGM0vvM0FYef2y/1FoCfEA4d63YRhU5D1yU11X6fR7jqhmOLTi8LSF72twU8+L4UqV2PCBseu5m193+HxgXP9bh+PNJG2/J3Ka0+GoDg5ONpWz6PDX+7hdDRF9E4bxbB/U7C40/rmeQLSecYXt2x5iLtXnDP2d86LHDRXgMycwJJt1wYeK3oDxffjq98ELHmbax/9Eb8g0ZRPHr/XdZtXfoWRSP3xVtSDoCnKMjQL4UBiLU10fDmEww55wY2/+O3PNj4weATTohy5Gh9CadoJPAQ4dBp2r/rDm3puqCm2j/tlAneb5y4lzfvB69PKm2smlBcvw3AG6ykdNKRtK9Z3O26zYvmEJx8fLfL6v/9CKEjz6d54asEhu3Nl049dPMNL6XUc6F2OBV7BgrlAg3dDKup9g8bE5LvXXlQ4GiR/D+fY3OH4fyWx+oB4h1ttC2fT2DI2F3Wi7c3077qQ0r2PmKXZZEtq4k1baF4zAGYaDuIB0Foi/Z//XnsR4RD3X/CqX6l380yqKbaXwxc/Z3DA0cX+6QgOibXNxvueuKN0Wv4JsTjBCcfT8n4g2mc/ywA5QeeDkDL4jcoHncgnsCuT8u2OQ9RedylAAT3PZ6NM2/lnjc/G3bv5wKZeyD5p7N/9wDC9ZvdLqaQiDHarZMpNdX+i8+u9l351YMC092uJdMu2faNda8VHzssXdv7Wtv9n95QOVvPEdZ3fyJc/1W3iygk2r2QITXV/okDijnjwgP8h7hdixsu98zqcLsG1a0rCIeOcbuIQqKhmwE11f4A8JXvHlF0QKk/P4eH7cmxwVXDS2JNGrzZR4B7CIe0qzFDNHQz45RjxninTRvm2XWcVIEo8hr/uR3P6Kl8stP+wLVuF1EoNHT7WU21f0SRly9+7eDAoYUwWmF3Lg68qnu+stcthEO7DitRaaeh249qqv0e4LKrDwvsX1ksg9yux237ltYPGxn5tMHtOlS3SoH/cbuIQqCh27+OHj9ADjl2jHea24VkAxG4LDZzi9t1qB6dRTh0tttF5DsN3X5SU+0fAFx81cGBffJxMpveOrd0/gBj9ITBWew3hEM5cyLUXKSh239qpg3zDNlnsGey24Vkk8GBSOiIjjf1xJXZayzwNbeLyGcauv2gpto/Apj+1QMDUwp951l3rpBndNKE7HYD4VCJ20XkKw3d/nHOkaO8lWMrPXu7XUg2mh5cUVUUb4m4XYfq0TDgareLyFcaumlWU+0fDxx68RT/AW7Xkq2KvaboC+3P6pjd7PYDwqGg20XkIw3dNKqp9gtwzuEjvWVjQp4JbteTzS4JvKxHQGW3wWjfbr/Q0E2vvYADLpniz/t5cvtqv9Ktw4ZFVze6XYfaresIh/SAljTT0E0Tp5X7halVnpKxlZ6JbteT7TyCXBqdqVMKZreRwAy3i8g3GrrpMxaYct5k/15uF5IrziuZ1/3pgVU2+S/CIR2Ck0YauulzatBPbPIQj3YtJGlYUfuAg9vf2eB2HWq3JgInuF1EPtHQTYOaan8IOOz8/fxDAl7Ro3lScDm1bW7XoPboK24XkE80dNPjEECOHuM9yO1Ccs3JZZ9UBeKteraz7HYe4VCl20XkCw3dPnJmEjvtkBEez9Bgfp9OvT+UeE3RGR3Pr3W7DrVbxcCFbheRLzR0+24iMKim2q9zLPTSpb4XdUKg7KddDGmiodt303UHWt9MC24ePiS6rtntOtRuHUI4pK/xNNDQ7QPdgZYeHkEuiT650e061B5pazcNNHT75hBADhru3dftQnLdl4rfrnC7BrVHl+gRan2nodtLzhFony8LUD+yQvSAiD4aUdw2cEr7gk1u16F2axBwsttF5DoN3d4bAQw6ZYKvyucRnbwlDa7gae3XzX6fd7uAXKeh23v7ABw83DvJ7ULyxSnBJUN98Y6Y23Wo3dLQ7SMN3d47EqgfP8CjoZsmQV+85LSO2TrPbnabSDg03u0icpmGbi/UVPsrgPFHjPKWBgNS7nY9+eRS3wtul6D2TFu7faCh2zsTAY4Z49UpHNPs4NINwwfGNrW4XYfaLQ3dPtDQ7Z1DgLZ9BmvXQrp5PXgu6tAxu1nuBB061nsauimqqfb7gQOrgtI6pFR0roV+cH7x3DK3a1C7VQYc43YRuUpDN3XjAP/ho7xVenr1/jGmpHXQ5I4P9KwS2U27GHpJQzd1+wBm74Ge4W4Xks8ujz+t50/Lboe7XUCu0tBN3WSgaXSFhm5/Oq2sbqjHROJu16F6pJPf9JKGbgqcuXP3ApqGBkVDtx+V+2Klp7S/qPPsZq9KwqGxbheRizR0UzMI8FcFxV9eJDqTfj+b4Z1t3K5B7dZUtwvIRRq6qRkOcMgIr7ZyM+Cw4LrhoejWVrfrUD3S0O0FDd3UjAXMxEHan5sJPg/eC6JP6dmCs5eGbi9o6KamGmgeE5IRbhdSKL5c9Hqp2zWoHmno9oKGbpKc+XMnAI1DSj3D3K6nUIwvaR4ysePjLW7Xobo1gXBID2RJkYZu8gYBAYFoWYCQ28UUksvjTzW4XYPqlgAHuF1ErtHQTV4VwJiQlHk9omevzaAzgx8NFhPTkQzZSad5TJGGbvIqAc/YSo+2cjMs5I+Vndj+is6zm510/0aKNHSTNxSIjiz36PhcF1zmfS7qdg2qWzrpU4o0dJM3DGgfVKqTlrvhyODq4WWx+na361C70NBNkYZu8qqAtooigm4XUoj8HnznR2q1iyH7aPdCijR0kzcA6CgPiIauSy4MvFbidg1qF4PcLiDXaOgmwZnophyIBAOi4xJdMrG0cej41oUdbtehdqKhmyIN3eR0HhVlSv3oEVIuujjyhIZudhlAOKSz+adAQzc5QSAO4BV0jK6LairqisREdcxu9vCCHiyUCg3d5Gxv3Yqgn+ouGlIc95/U/rKeuDK7FLtdQC7R0E3O9tatIPqcuewyeVbH7GYX/eaRAg2Q5Gxv3WpL131HlK0fWkGTvtGzh/4vUqChm5ztz5Ogoes2vxffmYH5+pU2e2jopkBDNzna0s0y40pbq9yuQW2noZsCDd3kSMIv+pwptTMN3RRogCRnR/eCtnSV6kpDNwUauskRtC9XqZ5o6KZAQzc52wO3I4bOdKWU6jUN3eQIzqd5a8Q0u1yLUtlG3xMp0NBNTlvnLy0R0+JmIUplmc2E63U+jBRo6CZn+yd5U4d+qiuVQOc4TpGGbnJacPp1Gzu0e0GpBGvdLiDXaOgmpxnnuWpo1+4FpRJo6KZIQzc5EefirW/Tlq5SCbR7IUUaukmorYsYoAHwb2nVlq5SCbSlmyIN3eTVA/6NLdrSVSqBtnRTpKGbvG2A/+NN8a1xY+JuF6NUltCWboo0dJO3BQi0RYnVt7HZ7WKUyhLL3C4g12joJm81EADY1BLf4HItSmWDLYTrP3W7iFyjoZu8dTgnp1zdaNa7XItS2WC+2wXkIg3d5K3Heb5WbItr6CqlodsrGrrJ2wa0A76PNmj3glJo6PaKhm6SnLG6nwLBxZvj2zpiRif5UIVOQ7cXNHRTsxQIGmBrq9HWripkLUCd20XkIg3d1HwK+ADWNxsdFK4K2QeE63W8ei9o6KZmPc4IhsWb46tcrkUpN2nXQi9p6KZmA85zNmdldLnLtSjlptfdLiBXaeimoLYu0gKsAcpWbDON29qMHpmmCtU/3S4gV2nopu5doBJg5ba4tnZVwTHGfEC4Xvdp9JKGburqcJ6399fHPnG5FqUyTkRmu11DLtPQTd0K56e8sCy6LBY3MTeLUcoFz7tdQC7T0E2R06+7DKjY2kbH2iajE36ogmGMaQBedbuOXKah2ztzgRDAoo3xJS7XolTGiMjzesr1vtHQ7Z3tR+K8vCKqR+WoQvK02wXkOg3d3lkNNAFFH26Ib9nQHF/tdkFK9TdjTBR41u06cp2Gbi/U1kXiwFvAIIC3VscWuFuRUhkxi3D9VreLyHUaur03F/ADzFwU/TAaN1GX66VCgvEAABDeSURBVFGqX4nIfW7XkA80dHtvGbAZCG5qMW3LtsY/drsgpfpLLG7WAf9wu458oKHbS04Xwz+BgQCvrtAuBpW/PMJ9hOt1THoaaOj2zbvY51BmLYkua+4wjW4XpFS6GWOMiPzR7TryhYZuH9TWRTYBi4CBcYP5YEPsPbdrUirdYoaXCdevcLuOfKGh23cvAmUAzyyOaheDyjs+j9zrdg35REO37z7CnrDS//76+OZV9XGdBEfljVjcbEEPiEgrDd0+qq2LtAH/BoYAPPVx5F/uVqRU+ojwez3sN700dNNjDhAA5J/LYivXNsZXul2QUn0Vi5tWj8gdbteRbzR006C2LrISeA8Yav+OznG3IqX6rj3GPYTr9ewoaaahmz61QCnArCXRZTofg8pl0bhpLfXLbW7XkY80dNNnGXan2hCAWYu1tatyV0eMuwjXb3G7jnykoZsmtXURAzyFM3zsyY+jize1xPU8UirnROOmpdQvP3W7jnyloZteS4DFOLOPPb9UW7sq93TE+J3OJtZ/NHTTyGntPgmUAzz2UXTRppb4WnerUip5Tiv3Z27Xkc80dNNvEbAcGGiA+xdEZhljXC5JqeS0R7mTcP02t+vIZxq6aea0dp/AnkNN5qyMrf5wQ3yey2UptUctEbM6GJBb3a4j32no9o+PsDOQDQP47ZsdL7RFTYu7JSm1e1tbzVWE69vdriPfaej2A6e1+wjgBQLrm03r80ujL7hcllI9WtcUf37knY2z3K6jEGjo9pPaushGYCYwAuBP8yPz1zfFP3O3KqV21RY1LR5hhtt1FAoN3f71ArAeqDTAffMiz8R1r5rKMhuazU1Df9G4we06CoWGbj+qrYt0APcDAwB5c3Vs/YJ18bfcrSp3/WZuO/vf3cR+dzfx67k7dz3+8vV25EcNbGqJ73K7tqjhsD80MfVee9tbXm7bvuwH/2xjyj1NzHiydft1D73XwW/mFkbX5uaW+IdjftV4p9t1FBIN3f73MfAGTjfDb+a2v9TQbnTgeYo+3BDjD/MivPUfQd77epBnFkdZstmesmtVfZx/LosyJiTd3rbICy9dFuS9r5ex4Kogz30SZe5nUerbDK9/FuP9b5QRM4YP1sdojRjufy/Cfx4ayOTDc0U0bmLNES5yu45Co6Hbz5ydao8BBija2kbH/77b8UTcmF2bZKpHizbGOWKUl1K/4PMIx4/18eTH9qz31zzfxu0nF9N95IKIUBawSyNxiMRAAI9AR8xgjKE1An4v/OL1Dr59WAC/t6et5Y/VDea3Y37V+IHbdRQaDd0MqK2LbAH+im3typyVsdX/Whl7xd2qcsv+Qz3MWRljc0uclojh2aVRVtXHqa2LMLLcw9Rh3t3ePhY3TLu3iaG/aORz430cPspHeZFw3r5+Dvx9M3tVeggVCW+viXH2Pv4MPSr3rG2ML3x9Vew6t+soRKL7dTKjptrvAb4F7Aes8Qhy9xnFl40o94x1ubSc8cd5Hdz1dgdlAWHyEA8lPuH1z6LMviRIqFgY9+tG3vlakMGlPbcltrUZznm0hf85rZj9h+4c1FfWtnL1oQHeXRtj9idRplR5ufG4ov5+WBnX1GFaXl4ePfCsR1oWu11LIdKWbobU1kXi2J1qbUB53GB+/lr7E60R0+xuZbnjqwcFmHdVGXOuCDKwRBhXKSzfaph6bxPjft3IZw2Gg37fzLqmnntuKouF6WN9PLc0utP189fa/uFJgzw8+F6Ex75UyocbYtv7jfNF3Bgzf23sOxq47tHQzaDaukg9cC8wGPCt2GYa/7wg8oQOI0vOhmYbpp/Wx5m5KMqMqQE2fL+cFd+1l1EVwryrggwr2/llvbE5zrY2+xS3RgwvLI+yz+Cd17np5XZ+fEIRkTjEnP+GR6Al0v+PK5PeXx9/7Ng/N9/ndh2FTEM3w2rrIguxZ5kYDfDc0ujy1z7V/t1knPdYK5PvauKsR1q46/RiBpT0vLNrTWOc0/9ij7xe22Q44YFmptzTxKF/aOZz432cOWlHv+1TH0c4dISXEeUeKouFI0d5OeCeJkTYY19xLlm+Nf7xPW936EEQLtM+XRfUVPt9wLXABGCtAL/+fPEFew3wVLtbmcpXW1pN/SMfRA66+tnWZW7XUui0peuC2rpIFPgD0A5UGOC/X2p7XA8TVv2hLWo6XloenaGBmx00dF1SWxfZCvwOe7RacVMH0Ztebv/rtjajZ19VaROJmdhTH0dv+uJjLbVu16IsDV0X1dZFFgP/ix2/61/XZFpvndP+UEvENLlcmsoDsbgxj30Uue+vH0R+6XYtagcNXZfV1kXewE4DORrwLN4cr//VGx0Pd8RMYRz8r/qFMYan66KPP/pR9LvOcEWVJTR0s8NzwD+AsTgT49w3L/J/sbjJr0GiKmOeWxqdff+CyFdr6yJte15bZZKGbhZImJ/hDWzw8tzS6Iq/LYw+qaNLVKrmrIzOveedyAW1dZFGt2tRu9LQzRK1dZEY8CdgITAS4K8fRD76++Lo3/XgCZWsd9fEPvzl6x1fcHbUqiykoZtFnPl37wbW4Zxf7b55kXmPfhh9Qrsa1J68sya26Jevt59ZWxdZ73Ytqmd6cEQWqqn2DwSuByqwAcyZk3wTrpjm/7LfK/k/BZZK2QvLovN/+2bHl2vrIkvcrkXtnoZulqqp9g/AHrU2DFgNMH2cd9TVhwYuLvJJsavFqawRN8Y8vjD6xsPvR75eWxfRuXFzgIZuFqup9pcB3wb2Bj4FOHSEZ+h1RxVdWuqXMleLU66Lxk3sz/MjL/x9cfTbzphvlQM0dLNcTbW/GPg6MA1YCZh9BnsqbzyuaEZFkQxwtzrllraoab/rrY7aV1fGrq2ti+jh4zlEQzcH1FT7/cAVwDHACiA+JiRlNx9fdMHQoGekq8WpjGtsN813vtH+yLtr4z+srYtscrselRoN3RxRU+33AhcCp2BbvLFiH94fHlN0yoHDvYe5W53KlDWN8Y13vN5x/5It8Z/oONzcpKGbQ5xT/pwNnIMd1dACcPEB/v3P3dd3lt8r+X8K2wL22qfRhb+Z2/GH9hj36pFmuUtDN8fUVPsFOAi4CogAGwEOHOYZ/N0jis4fUCJD3KxPpV971LT9cX7kjeeWRh8A/uJMDapylIZujqqp9g8HrsbOULYKMBVF+G8+vqhm0iDv/u5Wp9JlTWN83c9fa395xTbzW+BN55BxlcM0dHOYM7LhEuA47FjedoCvH+I/9NQJvlO9Hsmfc80UGGMMr30a+/DXcztqI3Huqq2LrHG7JpUeGro5zuluOBa4HGgCtgAcNtJbddXB/pohQc8IF8tTvdAaMS1/nN8xd/YnsQeBR7X/Nr9o6OaJmmr/OOCb2DNRfAYYnwf55mGBo44b653u84jP1QJVUt5bF/v4N292vLWpxdwFvK3dCflHQzeP1FT7y4GLgKOxO9gaAfYf6hl49aGBs0ZWeMa5WJ7ajfo2s/WP8zveemVF7G3g7tq6yFq3a1L9Q0M3zzjdDQcAXwXKsH29cYBLp/gPOGOS7xQ9hDh7ROMmOmdlbMG973QsaosyE/hHbV1EzxqSxzR081RNtT8IfBE4EajH6esdVCJF3z48cOLUYZ5DPCI6taeLlm6JL/ntm+3vr9hmFgD36+G8hUFDN8/VVPsnYneyjQTW4oxw2G+IZ+CMqf7jqwd7DvCIiIslFpxNLfF1f3k/suDF5bEVwKPAv5xJ7FUB0NAtAM7cDccBXwYEezRbDGBqlWfQpVP90/ce6NlPw7d/bWiOr565KLrg2SXRTcDLwFO1dZF6t+tSmaWhW0CcydHPAE7Ahu728D1ouGfIJVP80ycM8EzW7E2vdU3xVY8vjMyb/UlsG/AJ8HBtXWS523Upd2joFqCaav8Q4HTgeCCKDd842Pl6L54SOGGvStlHw7dv1jTGVzz2UWT+S8tjDcBy4AlgoZ4SvbBp6Bawmmp/FbbleyzQAazHCd8pVZ5BNdX+g6ZUeaYV+6TUxTJzSixu4ivrzeKZiyIL56yMNWJbtk8Ai3TMrQINXcX2eRzOBI7CtnzXOz8p9uH9wj6+6uPG+g4eWS7jtfXbvS2tZsO7a2IL/rYwsnpdk/EAdcCTQJ2GrUqkoau2q6n2jwBOwrZ8fUADsK1z+b6DPQPO2dd30JQq7zQd62tn/6rbHP/w2SXRj15fFYthz669CHgKWKJhq7qjoat2UVPtLwWmAKcBo7E72zZgp5LE78FTU+2beMgI7z7jB3gmlvgl6F61mRWLm9iaRrPi9VWx92cuimxsjRIAmoGXgLnAWg1btTsauqpHztFto7CHFU8HitjR+jVgx58dPcY74qjR3onVgzyTBpfKiHzrgqhvM1uWbY0vXbAu9smLy6ObGtrpbOXPA14BPtY5blWyNHRVUpxpJKcAnwMmOFe3Y490i3SuN7pCgieP9008oMozcXSFZ3wuni6+I2Y6VjeY5Qs3xpbOWRn7ZNGmeBwIOYvXA7OBeTrGVvWGhq5KWU21vwKYiD2DxUFA52mCtmKnlwRsK3jqMM/gqVXekRMGekaOKJcRA0ukKptmPIsbY7a1sXF9U3ztp/Vm7aJNsTWvfRrb3BGjEtuvbYBlwFvYnWOrtPtA9YWGruqTmmq/DxgL7AccAQzD5m0HtiuiBacrAsDnQfYb4hm47xBP1diQp6qqzDO4PEBFqV/KSv2U99fE6+1R09YapWlrq9m8vjm+8bMGs/GTLfGN762PbWzqwAOUA0Gn1gbgHeB9YFltXaS5P2pShUlDV6WN0wc8CBiPbQnviz2dUBy7Zz+CbQm34BwJ11VVUEpGh6S8KugpGxKU8oElUl4ekKAIIiAiiEcQ2PG3gBgwLRHT0tBO87Y207y11TRvajHN65rizWubTEtblBj2w6DUuZRgA1acmpYC84ElwHptzar+oqGr+pXTFzwC2wLeCxvIowEvO0Kvc89bO7aF3PkzlZ1TfucSSPjZ2T0QT7iP9cAK7EELq7GTADVoyKpM0dBVGVdT7fcCldiv9GXOz0pgKLalPNC5lJLQNdHD752h3YSdwrIe27e8xbk0O5fNwGYdZaDcpqGrspbTXyzdXOjye5tOjahyhYauUg4RGQXcBUzG9kE/A3zf+XuEMeZZZ70w0GSM+aVLpaocpmcOUAoQe0THTOApY8xEYBK26+M2YBp2VrZ03Ve/jNBQuUFbukoBInIScIsx5riE6yqAldhRF4Ld8fYz7KiMMdidgmOAXxtjfuvc5hLg29gdeW8C/2mMiYlIE3AncCpwHXaCoRrszsLZxpjvZeJxKvdpS1cpaz/g3cQrjDEN2JEOtwKPGmOmGWMedRbvgw3Qw4BbRMQvIvtiz85xtDFmGnZY3MXO+kHgQ2PM4cBC4BxgP2PMFGf7qkBkzZFBSrlM2Hl0xJ6un2WMaQfaRWQDUIWdoe1g4G1n/okS7ERBYAP4Cef3BqANuE9EZmH7jlWB0NBVyvoIOC/xCqd7oXOWta4ST5Mew76XBHjAGPPDbtZvM8bEAIwxURE5DBvSFwDfxJ61WRUA7V5QynoRKBWRGbB9Z9cdwP3YAyrKk9zGF0VkqLONgSIytutKIlIGhJzREN/F7qhTBUJDVynA2D3K5wBfEpElwGJsF8AN2DP3ThaRBSLy5d1sYyFwIzBbRN4H/gkM72bVcuAZZ51XgWvS+mBUVtPRC0oplUHa0lVKqQzS0FVKqQzS0FVKqQzS0FVKqQzS0FVKqQzS0FVKqQzS0FVKqQzS0FVKqQz6/xeB5y4i/Hd4AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"nfts_score = sum(map(lambda a: a[\"score\"], nfts))\n",
"no_nfts_score = sum(map(lambda a: a[\"score\"], no_nfts))\n",
"\n",
"# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
"labels = 'NFT', 'Others'\n",
"sizes = [nfts_score, no_nfts_score]\n",
"\n",
"fig1, ax1 = plt.subplots()\n",
"ax1.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
" shadow=True, startangle=90)\n",
"ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n",
"plt.title(f\"Distribution of Karma By Type {sizes}\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {},
"outputs": [],
"source": [
"nfts_flairs = {}\n",
"no_nfts_flairs = {}\n",
"for n in nfts:\n",
" t = n[\"link_flair_text\"]\n",
" if t not in nfts_flairs:\n",
" nfts_flairs[t] = 1\n",
" else: \n",
" nfts_flairs[t] += 1\n",
"\n",
"for n in no_nfts:\n",
" t = n[\"link_flair_text\"]\n",
" if t not in no_nfts_flairs:\n",
" no_nfts_flairs[t] = 1\n",
" else: \n",
" no_nfts_flairs[t] += 1\n"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig1, ax1 = plt.subplots()\n",
"ax1.pie(nfts_flairs.values(), labels=nfts_flairs.keys(), autopct='%1.1f%%',\n",
" shadow=True, startangle=90)\n",
"ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n",
"plt.title(f\"NFT Flair Distribution\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig1, ax1 = plt.subplots()\n",
"ax1.pie(no_nfts_flairs.values(), labels=no_nfts_flairs.keys(), autopct='%1.1f%%',\n",
" shadow=True, startangle=90)\n",
"ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n",
"plt.title(f\"Other Posts Flair Distribution\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 179,
"metadata": {},
"outputs": [],
"source": [
"nfts_byday = [[] for i in range(30)]\n",
"no_nfts_byday = [[] for i in range(30)]\n",
"for n in nfts:\n",
" created = datetime.datetime.fromtimestamp(n[\"created_utc\"])\n",
" delta = created - DAY0\n",
" ind = delta.days\n",
" nfts_byday[ind].append(n)\n",
"\n",
"for n in no_nfts:\n",
" created = datetime.datetime.fromtimestamp(n[\"created_utc\"])\n",
" delta = created - DAY0\n",
" ind = delta.days\n",
" no_nfts_byday[ind].append(n)"
]
},
{
"cell_type": "code",
"execution_count": 180,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x1c13bc02d08>"
]
},
"execution_count": 180,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.title(f\"Posts Per Day Since NFT Announcement\")\n",
"plt.plot([i for i in range(30)], [len(i) for i in nfts_byday], label='NFTs')\n",
"plt.plot([i for i in range(30)], [len(i) for i in no_nfts_byday], label='Others')\n",
"plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 183,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x1c13bb2f888>"
]
},
"execution_count": 183,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.title(f\"Karma Per Day Since NFT Announcement\")\n",
"plt.plot([i for i in range(30)], [sum(j[\"score\"] for j in i) for i in nfts_byday], label='NFTs')\n",
"plt.plot([i for i in range(30)], [sum(j[\"score\"] for j in i) for i in no_nfts_byday], label='Others')\n",
"plt.legend()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
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}
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