[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Unzipping corpora/stopwords.zip.
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 |
|---|---|---|
| 70.66666666666667 | divine_comedian#0 | for basically running Giveth. |
| 48.0 | nikolacreatrix#0 | for picking up so much slack while I was on vacation... keeping up with support, listing/unlisting, project onboarding, processing verification applications, etc. Tou are a rockstar :orbit_star:795695952240836628 and I am so grateful that you are on my team! |
| 41.0 | cuidadopeligro#0 | for Leading Praise implementation on Optimism! |
| 39.333333333333336 | danidiabella#0 | for taking on the last couple of Community calls, whether planned or last second. Stepping in like an Irish folk dancer and not missing a step. 💃🏻 |
| 39.333333333333336 | cheo0202#3630 | for his work as a Giveth Ambassador, and for always trying to support the Spanish Speaking community coming to Giveth answering their questions, and for always keeping the Spanish channel active. |
| 39.333333333333336 | divine_comedian#0 | for his diligent and tireless work and ownership you took over the GIVbuying back, it's hopeful to see we are investing in this type of effort to influence our token value. |
| 36.666666666666664 | kristoferkristofer#0 | for Leading Praise implementation on Optimism! |
| 35.666666666666664 | divine_comedian#0 | For being a Giveth rockstar and taking care of so many things, like the first GIV buyback round, and jumping in to facilitate the Community call! |
| 35.666666666666664 | divine_comedian#0 | for managing the DApp very efficiently, from strategy to small bugs and making sure everyone has a task to do |
| 34.0 | kristoferkristofer#0 | For supporting the implementation of Praise on the Ethereum Colombia Discord! :) |
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 369 praises, 82 (22.22%) 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 369 praises, 1 (0.27%) 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.