Observation and Analysis - Blocktrades 观察与分析Blocktrades 🔍
Eclipse of 2016 二零一六的月蚀
I always assumed @blocktrades is just an exchange. Recently, I noticed @blocktrades is also a curator of Steemit. As of today, he has 3.6M Steem Power (SP) and delegated 888k SP to other people.
@blocktrades is such a big whale, therefore I analyzed his upvote history of September 2017, from 9/1/2017 to 9/30/2017. The statistics show @blocktrades upvoted more than 1,100 times and upvoted 652 unique authors in a single month.
In order to show who got the most upvote from @blocktrades, I made the following table:
Rank | Author | # of Upvotes | Total Weight of Upvotes | % of Weight | Accumulated % of Weight |
---|---|---|---|---|---|
1 | @michelle.gent | 103 | 253500 | 10.57% | 10.57% |
2 | @suesa | 32 | 81900 | 3.41% | 13.98% |
3 | @johnjgeddes | 19 | 48100 | 2.00% | 15.98% |
4 | @everittdmickey | 15 | 34300 | 1.43% | 17.41% |
5 | @ats-david | 12 | 33700 | 1.40% | 18.82% |
6 | @rakkasan84 | 12 | 25300 | 1.05% | 19.87% |
7 | @bien | 12 | 23400 | 0.98% | 20.85% |
8 | @snowmachine | 10 | 22900 | 0.95% | 21.80% |
9 | @creativetruth | 8 | 21900 | 0.91% | 22.71% |
10 | @flemingfarm | 9 | 21700 | 0.90% | 23.62% |
11 | @fibra59 | 4 | 20000 | 0.83% | 24.45% |
12 | @papa-pepper | 9 | 19700 | 0.82% | 25.27% |
- Total Weight of Upvotes is the sum of weights of all the upvotes. A 100% upvote's weight is 10,000
- % of Weight shows the shares an author gets from all the upvotes of the curator.
- Accumulated % of Weight is sum of
% of Weight
of certain author and all the other authors that have the higher rank
The above table indicates that @michelle.gent is @blocktrades' favorite author. This author got 103 upvotes from @blocktrades and enjoyed more than 10% of his total upvote weights. The second author on the list is @suesa and @johnjgeddes is the third. Each of other authors get less than 2% of @blocktrades' upvotes.
The above table also shows 12 authors shared 25.27% upvote weights of the curator.
Author | # of Upvotes | Total Weight of Upvotes |
---|---|---|
theindianlady | 2 | 0 |
naughtyhrn | 1 | 0 |
mouach | 1 | -500 |
walidsalah | 1 | -500 |
truesteem | 3 | -8100 |
The above table shows which authors were flagged and unvoted by @blocktrades. Weight of 0 means unvote and negative weight means flag.
一直以为 @blocktrades是一个交易所在Steemit的账号。后来才知道他也是一个点赞大鲸。刚刚查了一下,他有三百六十多万SP,借出了88.8万SP。
这样一头点赞大鲸需要研究一下。不知道会不会惹得大鲸不高兴过来踩一脚。不过我也不在乎,反正都是公开的真实的数据。
分析了一下他在2017年9月的全部点赞。总共点了一千一百多次,赞了652名不同的作者。这个点赞能力还是很了不起的。不知道是不是机器人协助。
排名 | 作者 | 点赞数 | 点赞总重 | 被赞百分比 | 累计百分比 |
---|---|---|---|---|---|
1 | @michelle.gent | 103 | 253500 | 10.57% | 10.57% |
2 | @suesa | 32 | 81900 | 3.41% | 13.98% |
3 | @johnjgeddes | 19 | 48100 | 2.00% | 15.98% |
4 | @everittdmickey | 15 | 34300 | 1.43% | 17.41% |
5 | @ats-david | 12 | 33700 | 1.40% | 18.82% |
6 | @rakkasan84 | 12 | 25300 | 1.05% | 19.87% |
7 | @bien | 12 | 23400 | 0.98% | 20.85% |
8 | @snowmachine | 10 | 22900 | 0.95% | 21.80% |
9 | @creativetruth | 8 | 21900 | 0.91% | 22.71% |
10 | @flemingfarm | 9 | 21700 | 0.90% | 23.62% |
11 | @fibra59 | 4 | 20000 | 0.83% | 24.45% |
12 | @papa-pepper | 9 | 19700 | 0.82% | 25.27% |
- 点赞总重 是作者被赞的重量总和。 百分之百的点赞重量是一万
- 被赞百分比是作者被赞总重占所有点赞的百分比
- 累计百分比计算了作者和所有比他排名高的作者的
被赞百分比
总和
上表显示 @michelle.gent是 @blocktrades最爱的作者,得到了103个赞,占被赞总重量的10%以上。排名第二第三的分别是 @suesa和 @johnjgeddes。其他作者每人得到的点赞不超过2%。
CN用户被他点赞很少。只有极个别几位用户被他点过一两次。我统计了较长时间的点赞。也只有两三位中文作者被他点了三次而已。
作者 | 被赞数 | 被赞总重 |
---|---|---|
theindianlady | 2 | 0 |
naughtyhrn | 1 | 0 |
mouach | 1 | -500 |
walidsalah | 1 | -500 |
truesteem | 3 | -8100 |
上表显示了被踩和被取消点赞的作者。重量是0说明点赞被取消。重量是负数说明被踩。
数据、观察、分析系列
- Observation and Analysis 观察与分析 20171002
- 2017年9月下旬中文区大鲸点赞统计
- Observation and Analysis 观察与分析 20171001
- Upvote Analysis of CN Whales CN区大鲸点赞分析
- Upvote Analysis of CN Whales II CN区大鲸点赞分析之二
- Reflections on Steemit 有关Steemit的杂想
- 魑魅魍魉
- l聊聊聊斋
SteemSQL系列
- Use MacBook to Access SteemSQL and Find Delegator 用Mac搜索SteemSQL查询SP代理
- Show Rank of Reputation with SteemSQL 用SteemSQL显示声望排名
- The Posts with Top Payout 史上收入最高的帖子
- 教大家一点SteemSQL黑科技
游记系列
© Copyright 所有照片与文字皆为 @nationalpark原创。All photos taken by @nationalpark. All rights reserved.
期待下一篇分析 吸引点赞秘诀 哈哈:)
我如果知道这秘诀我早就闷声发财了。不过下一篇我会向大家透露一下谁知道秘诀,不让他闷声发财:)
期待期待,我也想知道呢~
我没有block的秘诀。只知道另外一头小鲸喜欢谁:)
哪头?是 雪花么?
对,准备写一写雪花。不at任何人,省得影响大家赚钱
肯定是 @jubi 最近他有篇帖子被 block 点了,真羡慕,赶紧公开秘诀吧
我认为jubi被block点纯属偶然。除了那个女作家一天能呼唤block三次,其他被点的都基本没什么规律。我查询了更长时间的数据,sweet仅仅被点了三次。还有几名中文作者也被点了三次。仅此而已。如果jubi能在近期再被block点,大家要去膜拜了。
What can I say, my content is great :P
:P well done!
Yes, it's great :)
@nationalpark great analysis and information. Thank you for pulling that together!
Thanks for reading
高产数据分析帝 - Park 兄!
还是你牛。你可能都不知道自己牛
@minnowpond1 has voted on behalf of @minnowpond. If you would like to recieve upvotes from minnowpond on all your posts, simply FOLLOW @minnowpond. To be Resteemed to 4k+ followers and upvoted heavier send 0.25SBD to @minnowpond with your posts url as the memo
I like you post
Thanks