Hive Statistics – 2020.05.05
Welcome to the daily analytical report about the Hive blockchain.
All the information presented in this report are based on the data collected from the blockchain until 2020-05-05 midnight UTC time. The goal of this report is to provide you with a clear view on what is happening on the Hive blockchain.
1. New users
This chart shows the number of newly registered users on the blockchain and how many of them became active.
Warning: the chart is kind of dynamic! A user can register one day and become active a few days later. Therefore, the number of active users on a specific date may change from day to day.
This graph shows who created new accounts during the last day. In this graph, the orange line shows the total number of registered accounts. These graphs show the activity of users over time and in more details for the last 30 days. They use the same definition for active user as stated above. These graphs show the evolution of posts and comments for the whole blockchain lifetime and for the last 30 days. These graphs show the evolution of curation (upvotes) for the whole blockchain lifetime and for the last 30 days. This graph shows the number of daily transactions. This give you an idea of the whole activity on the blockchain. This graph shows the distribution of the top 15 types of transactions by number of operation performed on the blockchain. This graph shows the communities with the most subscribers. This graph shows the most active communities by published posts. This graph shows the most active communities by published posts last day. This graph shows the tag has been the most used for publishing posts for the whole blockchain lifetime. This graph shows the tag has been the most used for publishing posts last day. This graph shows the number of users according to their Hive Power. This graph shows the distribution of Hive Power cumulated per account level. These graphs show the maximum reward paid on a post (or comment) for each day (whole blockchain life and last 30 days). These graphs show the total of the distributed payout (posts and comments) for each day. These graphs show the average and median payout per post for the last 30 days. I hope you find those stats useful. If you would like to see different stats, feel free to drop me a comment. Your feedback is more than welcome. Thanks for reading.
The green line shows how many of them have been active at least once (by active users, I mean those who made at least one post, comment or upvote). They are included even if they become inactive later.2. Active users
The last graph is a monthly summary of the active users. It allows you to compare values from the Hive blockchain to those one usually published by other social networks.3. Posts And comments
4. Curation
5. Daily transactions
6. Communities and Tags
7. Distribution
The grey portion of each column indicates how many accounts are inactive (see above for the definition of inactive).
The grey portion of each column indicates unused Hive Power by inactive accounts (see above for the definition of inactive).
Below each column you will also see a ratio to all existing Hive Power.8. Payout evolution
@tipu curate
Upvoted 👌 (Mana: 10/20)
Thank you @oldmans
You are welcome!
Big it, on transition to Hive... but it might also mean, less unfaithful bots and more true users! I am ok with that if that's the case.
the graphs all tend downwards. A little sorry.
That it's a lot of data to process. I have a little question: Are the comment and posts on the same graphs? or you can see how many posts and how many comments are on the hive platform?
I think the charts in section 3 has has the comments and posts on different lines.
I saw the chart, but I was curious about the numbers!
I know in theory you can see the difference between post and comments because he has the data ingested into the hivesql with one column "depth" in the Tx_Comments table. when depth is 0, it's a post and when it's 1 is level 1 comment and so on. So, I think he can "see" how they are different before getting the data in hivesql. Hope it's not too confusing.
I am not good at those kinds of things, but I have understood what you said and how he can see the difference between posts and comments. Thank you for your time to explain it to me.
You're welcome.