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Utopian-io Vote Analysis: March 2019

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miniature-tiger
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4 months ago7 min read

UtopianVoteBrownNoDate.png

The Utopian voting stats for the month of March.

March was a busy month for Utopian with the launch of the Indiegogo campaign. The largest changes to the voting breakdown came from an allocation of voting power to support this campaign and its marketing.

The month also saw an increase in the number of different contributors rewarded and a small increase in the time taken to reward contributions, with both of these effects likely to be related to the above campaign.

Overall the stats are fairly stable. Looking ahead to April, it will be interesting to see how the reduced voting power of Utopian affects the numbers.


As usual in this monthly analysis I look at the voting behaviour of Utopian-io across the month and compare to prior months. I aim to:

  • Examine the breakdown of votes awarded by category and contribution type;
  • Consider numbers of contributors rewarded for each contribution type;
  • Review the Utopian vote timing to see whether posts are voted earlier in the seven day payout period; and
  • Celebrate another great month for Utopian using some summaries of the top 50 contributors.

1. Allocation of Utopian-io votes by category

These pie charts illustrate how the Utopian-io vote power has been allocated between categories over recent months:

March 2019
February 2019
Mar2019PieCategories.png
Feb2019PieCategories.png
January 2019
December 2018
-----------------------------------
Jan2019PieCategories.pngPieAllDec18.png
November 2018
October 2018
pieAllNov2.pngpieAllOct2.png

The overall contribution percentage (including task requests) for March 2019 was 63%. This level has remained pretty stable over the last 5 months.

The significant rise in "other" is from votes made to support the Utopian Indiegogo campaign and its marketing.


For those new to Utopian a brief explanation of the categories of votes:

  • Contributions (blue): Utopian-io mainly rewards contributions to open-source projects. Contributions are not just limited to coding (development) but cover a wide range of technical skills including graphics work, translations, tutorials, copywriting, bugs and ideas.
  • Moderator comments (purple): Utopian has a team of over 50 expert moderators who review and score every contribution. Utopian rewards the moderators for their work by voting on their review comments.
  • Task requests (yellow): Open source project owners can make requests for work to be carried out on their projects. These take the form of task requests. Only a small number of project owners currently use task requests but they can represent some of the most exciting opportunities for the Utopian community.
  • Trails: Utopian-io also supports a number of Steem communities, typically those with links to the open-source world or science and technology. Two of these are separated out in the chart: steemstem (green) and mspwaves (red).
  • Other comments and posts (grey): These are one-off votes on posts of high value or interest to the open-source community, such as the arrival of a new project into the Utopian VIPO club. There will also be a few votes that have fallen through the filters I use to determine the category separation.

2. Breakdown of Utopian-io votes by contribution type

This second comparison takes the contribution vote and task request amounts above (blue and yellow segments) and separates them between contribution types for the months in question.

There are fifteen contribution types (fourteen for October, with blog and iamutopian aggregated).

Again, the pie charts to summarise across each month:

March 2019
February 2019
Mar2019PieContributions.png
Feb2019PieContributions.png
January 2019
December 2018
Jan2019PieContributions.pngContTypePieDec18.png
November 2018
October 2018
ContTypePieNov.pngContTypePieOct2.png

The changes from February 2019 to March 2019 are generally small. The main (although small) movements were:

  • Translations, up 2% from 23% to 25%.
  • Blog, down 5% from 20% to 15%.
  • A general increase in the smaller categories, led by graphics and ideas, both up 2%.

Over the last six months there has been a slow trend of the smaller categories gradually increasing their vote share. Excluding the five largest categories (translations, development, blog, iamutopian, tutorials) the vote share for the remaining categories is now 23%, up from 15% in October.


3. Numbers of contributors rewarded within each contribution type

The following table looks at the number of contributors rewarded by Utopian-io in each contribution type, with a comparison against prior months.

RewardedContributorsMar2019.png

The comparison from February to March finally shows an uptrend in contributors rewarded with almost all categories in positive territory. This is likely to be due to the increasing Steem price bringing higher available rewards and the exposure for Utopian from the Utopian Colony campaign.


4. Utopian-io vote timing

The chart below looks at the timing of votes made by Utopian-io as measured against the seven day voting period for posts.

The y-axis represents the duration in a post’s life at which it is upvoted by Utopian-io. The x-axis shows time across the month.

March 2019

utopianvotetimingMar2019.png

February 2019

utopianvotetimingFeb2019.png

The timing of voting shows a half-day increase for contribution votes, with the average delay increasing from around the 1.5 - 2 day mark in February to 2.5 days in March.

This is likely to be due to the increase in manual "other" voting for the Utopian Indiegogo campaign (shown by grey circles on the chart). Manual votes made outside the voting rounds increase the time between each voting round and generally slow the contributions rewards process. As can be seen, in the last week of March there are fewer grey circles and the average time reduces back towards two days.


5. Summaries of the top 50 Utopian contributors

Congratulations to all those who made it on to the top 50 list for March 2019!

In particular congratulations to the top-rewarded contributor, who has climbed from 3rd in January, to 2nd in February and now 1st in March. Persistence!

March 2019

Mar2019Top50Cat.png

Mar2019Top50Cont.png

February 2019

February top 50 for comparison.

Feb2019Top50Cat.png

Feb2019Top50Cont.png

January 2019

January top 50 for comparison.

Jan2019Top50Cat.png

Jan2019Top50Cont.png


Repository:

This analysis relates to the Utopian open-source project. The relevant repositories are:

  • utopian-io/utopian-bot
  • utopian-io/utopian.io

Tools and scripts:

gears_blockops_green.jpg

I used the block.ops analysis system to produce this study. Block.ops is an open-source analysis tool designed for heavy-duty analyses of the Steem blockchain data.

You can find the repository for block.ops here:
https://github.com/miniature-tiger/block.ops

The analysis used all the Steem blocks from the months analysed. This is approximately 900,000 blocks for each month.

The study can be recreated by:

  • Loading the data for the relevant time period into block.ops.
  • Using the utopianvotes command from the command line, for example:
    $ node blockOps utopianvotes "2018-11-01" "2018-12-01"

As usual, the main difficulty in producing this analysis involved correctly allocating posts to their respective categories and contribution types. This relied entirely on the tags and links included in each post. The order / logic I have used for the allocation is as follows:

  • Moderator comments based on having the appropriate links to Utopian guidelines and help.
  • Contribution post type based on the tags 'Utopian-io' and the first contribution type that appears. Special consideration taken for idea / ideas and social / visibility.
  • Steemstem post based on steemstem vote.
  • Task request based on the tags 'Utopian-io' and the first task-contribution type.
  • mspwaves post based on msp-waves or mspwaves tag.
  • Other posts and comments based on postComment indicator.

Whilst I have made my best effort in this categorisation, I cannot promise to have allocated every post correctly.


Thanks for reading!

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