TOP 150 effective Steemit curators in KR category for the last week (2019.08.19-2019.08.25)

I want to share with you statistics about the most effective Steemit curators in KR category.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most significant.

image source

Once I have published a post where I made a researsh what categories are most profitable on Steemit.

I showed there that KR category took one of the largest part of the reward pool on that week. So I decided to made a top of the most effective Steemit curators in KR category.

This time I even made a last week rating of the national and language communities included in the TOP-100 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	spanish	477	1087	981,847	1,263
2	deutsch	169	509	598,34	0,77
3	kr	107	440	585,545	0,753
4	cn	84	340	500,632	0,644
5	cesky	18	73	232,27	0,299
6	tr	25	85	185,173	0,238
7	pt	42	131	168,206	0,216
8	polish	43	164	125,661	0,162
9	ita	40	78	123,188	0,158

You can find an actual information about TOP 50 categories rewards in this post.

The category is a first tag in the post

What does this mean?

You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

How it works?

Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

107 authors published their posts during this week.

1779 accounts participated in the content curating according to information from the database.

10442 votes were made during this week.

585,54 SBD - is the total author rewards for this week.

TOP-150 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@dcommerce	35	10	33	65,19	11,13	6,09
2	@stpeople	91	27	9	14,01	2,39	3,54
3	@oldstone	22	10	42	21,72	3,71	2,03
4	@slowwalker	14	5	30	27,83	4,75	1,3
5	@powerguy	19	13	38	8,67	1,48	1,05
6	@wisdomandjustice	16	6	65	16,8	2,87	0,94
7	@fur2002ks	53	21	18	4,69	0,8	0,92
8	@roadofrich	13	5	25	18,74	3,2	0,88
9	@cheongpyeongyull	32	15	39	5,57	0,95	0,78
10	@khaiyoui	16	7	58	11,52	1,97	0,75
11	@steemmonsters	7	1	85	72,74	12,42	0,68
12	@megaspore	28	10	100	5,94	1,01	0,56
13	@cyberrn	13	5	80	11,49	1,96	0,54
14	@bramd	17	6	45	9,53	1,63	0,53
15	@allsale	25	10	56	5,29	0,9	0,49
16	@hwan100	41	12	25	4,13	0,71	0,46
17	@centering	15	8	60	5,45	0,93	0,41
18	@djusti	28	8	42	5,17	0,88	0,39
19	@sct.voter	2	1	83	38,26	6,53	0,36
20	@lucky2015	33	10	39	3,76	0,64	0,35
21	@virus707	23	7	3	4,71	0,8	0,31
22	@seunglimdaddy	47	14	26	2,04	0,35	0,27
23	@jhy2246	80	31	11	0,83	0,14	0,24
24	@sonki999	14	6	64	3,45	0,59	0,19
25	@rayheyna	26	8	93	2,37	0,4	0,18
26	@gghite	32	12	36	1,6	0,27	0,18
27	@peterchung	8	4	100	3,77	0,64	0,14
28	@twinpapa	18	5	65	2,93	0,5	0,14
29	@beoped	37	16	39	0,95	0,16	0,14
30	@sindong	19	15	23	0,91	0,16	0,13
31	@bluengel	33	6	70	2,4	0,41	0,13
32	@eversloth	20	17	36	0,81	0,14	0,13
33	@steemitjp	20	5	56	2,56	0,44	0,12
34	@mgranja	11	4	92	3,16	0,54	0,12
35	@ioioioioi	9	7	52	1,77	0,3	0,12
36	@fullvote	70	3	71	4,22	0,72	0,12
37	@sunghaw	7	6	100	1,96	0,33	0,11
38	@minigame	14	4	4	2,73	0,47	0,1
39	@ilovemylife	20	6	48	1,81	0,31	0,1
40	@bitcoingodperson	27	3	93	3,53	0,6	0,1
41	@nodaji	70	3	74	3,63	0,62	0,1
42	@yoon	25	10	60	0,94	0,16	0,09
43	@mastertri	47	16	30	0,6	0,1	0,09
44	@bji1203	18	6	26	1,68	0,29	0,09
45	@joeypark	4	2	100	4,08	0,7	0,08
46	@lereve	70	3	100	3,01	0,51	0,08
47	@codingman	41	20	54	0,44	0,08	0,08
48	@hjk96	20	13	76	0,69	0,12	0,08
49	@penguinpablo	11	4	11	2,06	0,35	0,08
50	@ai-channel	5	3	46	2,91	0,5	0,08
51	@jaebin90	21	8	98	1,11	0,19	0,08
52	@skuld2000	17	7	46	1,05	0,18	0,07
53	@june0620	12	3	89	2,5	0,43	0,07
54	@jaydih	8	2	29	3,24	0,55	0,06
55	@rea	7	1	100	6,72	1,15	0,06
56	@yasu	20	4	84	1,72	0,29	0,06
57	@girina79	33	13	47	0,5	0,09	0,06
58	@j-car	18	6	11	1,03	0,18	0,06
59	@tasteem	1	1	50	6,95	1,19	0,06
60	@fgomul	21	5	100	1,27	0,22	0,06
61	@pys	28	3	100	1,74	0,3	0,05
62	@czechglobalhosts	7	1	25	5,81	0,99	0,05
63	@kiwifi	13	10	56	0,52	0,09	0,05
64	@gilma	24	7	90	0,58	0,1	0,04
65	@luckystrikes	17	4	100	1,06	0,18	0,04
66	@brian.rrr	7	1	100	3,77	0,64	0,04
67	@tomhall	7	1	100	4,16	0,71	0,04
68	@yungonkim	11	7	100	0,55	0,09	0,04
69	@won0s	32	7	66	0,66	0,11	0,04
70	@jingdol	9	3	100	1,42	0,24	0,04
71	@talkative-bk	3	2	100	1,92	0,33	0,04
72	@y-o-u-t-h-m-e	5	2	84	2,06	0,35	0,04
73	@accelerator	120	29	0	0,15	0,03	0,04
74	@glory7	33	11	100	0,28	0,05	0,03
75	@jaytop	29	12	33	0,3	0,05	0,03
76	@karja	22	5	5	0,61	0,1	0,03
77	@rtytf	7	2	87	1,8	0,31	0,03
78	@eternalight	16	5	100	0,59	0,1	0,03
79	@jsj1215	13	2	100	1,61	0,27	0,03
80	@morning	4	3	75	0,96	0,16	0,03
81	@raah	12	10	93	0,3	0,05	0,03
82	@sintai	28	9	100	0,37	0,06	0,03
83	@ssm1810	3	3	100	1,06	0,18	0,03
84	@warofcraft	22	12	20	0,23	0,04	0,03
85	@ytrphoto	9	3	56	1,01	0,17	0,03
86	@freegon	9	8	81	0,21	0,04	0,02
87	@arcange	25	5	4	0,46	0,08	0,02
88	@levycore	7	1	100	2,52	0,43	0,02
89	@eventsteem	43	3	100	0,82	0,14	0,02
90	@muwon123	3	3	100	0,54	0,09	0,02
91	@reportup	15	6	27	0,29	0,05	0,02
92	@coreabeforekorea	2	1	100	1,96	0,33	0,02
93	@kan6034	10	3	91	0,66	0,11	0,02
94	@sj-jeong	2	1	100	2,34	0,4	0,02
95	@hermes-k	17	5	100	0,33	0,06	0,02
96	@leeyh	5	1	100	2,26	0,39	0,02
97	@nowmacha	11	4	100	0,43	0,07	0,02
98	@happyworkingmom	6	1	100	1,92	0,33	0,02
99	@ksc	11	5	77	0,43	0,07	0,02
100	@knircky	5	2	20	0,99	0,17	0,02
101	@olorin	7	3	49	0,79	0,13	0,02
102	@chungsu1	7	2	14	0,96	0,16	0,02
103	@ayanamirei	70	3	100	0,7	0,12	0,02
104	@realsunny	12	7	35	0,22	0,04	0,01
105	@pooka	10	9	100	0,1	0,02	0,01
106	@bbana	16	6	100	0,19	0,03	0,01
107	@skyoi	20	5	100	0,2	0,03	0,01
108	@nhotaeryong	17	3	100	0,3	0,05	0,01
109	@steemit-jp	4	1	100	0,54	0,09	0,01
110	@solnamu	14	5	59	0,14	0,02	0,01
111	@ctime	22	16	0	0,04	0,01	0,01
112	@maxuve	11	10	10	0,08	0,01	0,01
113	@mapxv	45	18	1	0,08	0,01	0,01
114	@familydoctor	8	3	100	0,39	0,07	0,01
115	@blocktrades	1	1	5	1,35	0,23	0,01
116	@parkname	9	5	32	0,16	0,03	0,01
117	@allpass	13	8	100	0,13	0,02	0,01
118	@ballantines30	12	5	65	0,21	0,04	0,01
119	@yjs3694	16	3	100	0,44	0,08	0,01
120	@sanaee	12	5	100	0,24	0,04	0,01
121	@stackin	7	1	40	0,76	0,13	0,01
122	@thekitchenfairy	11	5	15	0,11	0,02	0,01
123	@team	8	3	10	0,23	0,04	0,01
124	@aquabox	15	6	100	0,15	0,03	0,01
125	@kes2711	11	3	100	0,42	0,07	0,01
126	@cyan2017	16	2	100	0,65	0,11	0,01
127	@seo70	10	10	70	0,1	0,02	0,01
128	@kimminyoung	23	4	39	0,18	0,03	0,01
129	@tailcock	10	3	30	0,2	0,03	0,01
130	@dclick	1	1	100	1,13	0,19	0,01
131	@chorock	7	1	30	0,75	0,13	0,01
132	@hansangyou	7	4	36	0,22	0,04	0,01
133	@woolgom	9	6	100	0,17	0,03	0,01
134	@banjjakism	9	6	100	0,1	0,02	0,01
135	@thegreatgatsby	10	2	100	0,78	0,13	0,01
136	@feelsogood	14	4	81	0,27	0,05	0,01
137	@noisysky	14	8	39	0,07	0,01	0,01
138	@triplea.bot	1	1	29	1,48	0,25	0,01
139	@yasu24	11	2	60	0,35	0,06	0,01
140	@mmmagazine	9	3	80	0,18	0,03	0,01
141	@blockops	1	1	100	0,59	0,1	0,01
142	@devsup	11	10	7	0,11	0,02	0,01
143	@tasquai	24	4	100	0,24	0,04	0,01
144	@jeehun	9	4	34	0,17	0,03	0,01
145	@miti	15	3	6	0,23	0,04	0,01
146	@kr-newbie	8	2	100	0,56	0,1	0,01
147	@steemitboard	17	16	1	0,09	0,02	0,01
148	@yoshiko	4	1	100	1,33	0,23	0,01
149	@bree1042	8	8	20	0,08	0,01	0,01
150	@jsquare	2	2	33	0,75	0,13	0,01

I took all vote bots (most of them are working like pay for vote) in the separate table. Because we can't call them effective curators. Their work depends on authors payments and activity.
If you know another bots in the list above please tell me about it.

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@busy.pay	55	19	3	13,23	2,26	2,35
2	@appreciator	1	1	100	22,96	3,92	0,21
3	@steem-ua	25	9	3	1,34	0,23	0,11
4	@partiko	9	6	1	0,3	0,05	0,02
5	@sbi6	11	4	28	0,36	0,06	0,01
6	@sbi5	6	3	32	0,3	0,05	0,01
7	@sbi10	14	3	74	0,27	0,05	0,01
8	@sbi3	6	5	16	0,23	0,04	0,01
9	@sbi4	9	4	13	0,28	0,05	0,01
10	@sbi7	12	3	25	0,24	0,04	0,01
11	@sbi9	12	3	56	0,27	0,05	0,01

Now you know all these heroes. Their daily work gives hope to some authors, and some even a decent income. Their work attracts new authors in Steemit.

Information sources

All information is prepared by querying data from a SteemSQL - SQL database containing information from Steem's blockchain, as well as by calculations based on this data.

Special thanks to @arcange for SteemSQL and for the advice provided to me during the development of this project.