This is my sixth weekly analysis of the steem blockchain with Python.
These numbers are for the time period between Sept. 20 (beginning of the day) and Sept. 26 (end of the day).
Special thanks to: ,
,
,
and
for providing inspiration for the Python code behind this report.
Most Voted Authors - September 20 - September 26
Outline of the process:
1. I collect usernames for high-power voters (about 50 whales) from website
2. I used Python to analyze their votes. I included only the votes made on posts (ignore comment votes: if permlink[:3] != "re-")
I only analyzed whale votes due to their heavy weight. If all the votes from all users would have been included, the situation might look different (but the payout would not be affected though).
That being said:
Number of High-Power Votes Received by Authors - Plot
Number of High-Power Votes Received by Authors - Table
Number of High-Power Votes Given - Plot
Number of High-Power Votes Given - Table
Total number of high-power votes given this week: 9730.
Total number of high-power votes given last week: 8601.
Total number of high-power votes given two weeks ago: 8159.
Curie has made it to the first place, reflecting the efforts focused on user retention - finding new users and giving them an impulse.
The overall dynamics of the 'most voted authors' list is not much different from last week. We can see the same trends, some users falling from, others joining, and a few that are consistent.
Looking at past data, whales have been more active in voting - two weeks ago compared to this week - 8159 votes vs. 9730 votes. It's almost 20% increase over two weeks, which I think is also good.
I still hold my personal opinion with respect to the trending page - that I'd like to see more good science posts instead of the pseudoscience that's there almost everyday...
The Code
The python code to power these analyses is in my github. You may use, modify, or adapt it as you please.
If you have ideas for other similar analytics, please suggest them below.
Ending thoughts
If you are a newbie and still have trouble understanding steemit, here are two of my reading suggestions to help you:
The first one is the two-part post from , about the Steemit 101 ebook:
Steemit 101 e-book released for free (Part 1)
Steemit 101 e-book released for free (Part 2)
The second one is a recent FAQ created by :
The Missing FAQ - A Beginners Guide To Using Steemit
To stay in touch, follow 
#programming #stats #steemit #analytics
Cristi Vlad, Self-Experimenter and Author