[nltk_data] Downloading package stopwords to /home/mitch/nltk_data... [nltk_data] Package stopwords is already up-to-date!
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
Avg. score | To | Reason |
---|---|---|
44.0 | sem(🌸,🐝)#0161 | for coming to colombia for Devcon! :) |
41.75 | WhyldWanderer#7002 | for coming to Colombia and having her Bday while being here! :D |
40.75 | divine_comedian#5493 | for coming to colombia for Devcon! :) |
40.5 | chuygarcia.eth#6692 | for coming to colombia for Devcon! :) |
39.0 | Griff (💜,💜)#8888 | for coming to colombia for Devcon! :) |
32.75 | jh#4856 | keep supporting with code to pull out the data for the abc advance page, this time with code for reserve and total supply 😀 |
29.5 | GideonRo#3175 | for their active participation and leadership in the TEC |
29.5 | alantv#0964 | for all the amazing you guys are going with the quantifier video, finally we have a good workflow ❤️🩹💖 |
24.25 | jh#4856 | for constant support with dune and high vibes. And doing hard work looking so easy🌱 |
22.25 | bdegraf#7201 | for pulling together a list of influencial Twitter users from a seed list of folks interested in funding public goods on the blockchain. Quantifiers, this was a real service to the TEC, generously donated by him. |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 139 praises, 9 (6.38%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 139 praises, 2 (1.42%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.