A simple python program to estimate STEEM POWER distribution of a group of steemSTEM authors[Updated]
7 years ago by dexterdev (62)
$5.06
- Past Payouts $5.06
- - Author $4.00
- - Curators $1.06
112 votes
- + hendrikdegrote: $1.581 (0.89%)
- + kryzsec: $0.417 (100%)
- + justtryme90: $0.394 (5%)
- + steemstem: $0.382 (5%)
- + pharesim: $0.239 (0.02%)
- + abigail-dantes: $0.231 (5%)
- + lafona-miner: $0.215 (5%)
- + meerkat: $0.199 (0.89%)
- + aboutcoolscience: $0.162 (50%)
- + trumpman: $0.133 (30%)
- + curie: $0.131 (0.89%)
- + crokkon: $0.091 (100%)
- + followbtcnews: $0.081 (5%)
- + anwenbaumeister: $0.079 (0.89%)
- + bachuslib: $0.061 (100%)
- + kushed: $0.055 (0.89%)
- + physics.benjamin: $0.054 (100%)
- + dexterdev: $0.054 (100%)
- + scienceangel: $0.047 (100%)
- + kerriknox: $0.042 (5%)
- … and 92 more
First of all, thank you for this!
What I'd also like to see is how much of the rewards were used to power up.
And those who received steemstem votes, what percent of their VP went back to steemstem tag.
But of course all of this requires quite a lot of work.
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Actually, the thing is I am a beginner. But we can slowly start looking to these kinds of analysis. steem-python is a nice tool!
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The story of the pareto distribution! -> wiki
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Yes this seems to be a power-law distribution. I think the over-all distribution of steemit will also have power-law distribution. But then the paper I cited predicts something else. May be there is something hidden here, still which we don't understand.
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