TOP 200 effective Steemit curators in KR category for the last week (2018.07.30-2018.08.05)

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

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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	kr	826	3028	8301	2,338
2	spanish	1184	2685	3862	1,088
3	deutsch	261	816	2132,028	0,6
4	ita	81	232	1738,345	0,489
5	cn	180	556	1727,763	0,486
6	tr	146	418	1513,954	0,426
7	japanese	119	327	1244,622	0,35
8	pt	89	246	899,572	0,253
9	indonesia	264	618	774,972	0,218
10	japan	14	32	727,997	0,205
11	stem-espanol	37	41	700,969	0,197
12	polish	151	362	691,266	0,195

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.

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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.

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826 authors published their posts during this week.

5727 accounts participated in the content curating according to information from the database.

53115 votes were made during this week.

8297,56 SBD - is the total author rewards for this week.

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TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@virus707	781	354	2	331,6	4	142,11
2	@skan	285	123	9	675,08	8,14	100,53
3	@bramd	123	70	27	462,09	5,57	39,16
4	@songa0906	261	173	23	97,54	1,18	20,43
5	@lucky2	125	80	29	148,07	1,78	14,34
6	@gopaxkr	39	38	29	306,88	3,7	14,12
7	@woo7739	103	67	29	160,88	1,94	13,05
8	@oldstone	126	78	26	118,2	1,42	11,16
9	@fur2002ks	174	92	19	89,87	1,08	10,01
10	@ioioioioi	113	78	38	95,72	1,15	9,04
11	@cheongpyeongyull	161	63	23	106,01	1,28	8,09
12	@jamieinthedark	211	130	14	48,53	0,58	7,64
13	@centering	111	64	24	98,04	1,18	7,6
14	@lalaflor	137	108	26	54,04	0,65	7,07
15	@leemikyung	114	46	22	107,56	1,3	5,99
16	@abdullar	62	55	24	84	1,01	5,59
17	@yungonkim	161	106	15	42,16	0,51	5,41
18	@hwan100	161	61	24	68,61	0,83	5,07
19	@momoggo	128	95	22	44,06	0,53	5,07
20	@hr1	253	157	0	23,48	0,28	4,46
21	@joceo00	135	29	13	117	1,41	4,11
22	@allsteem	54	40	40	73,18	0,88	3,54
23	@jingdol	76	51	42	56,86	0,69	3,51
24	@luckystrikes	69	34	31	82,8	1	3,41
25	@ponzipanda	54	47	42	58,72	0,71	3,34
26	@khaiyoui	117	69	26	38,92	0,47	3,25
27	@gilma	255	124	15	20,19	0,24	3,03
28	@jsquare	78	56	66	42,35	0,51	2,87
29	@jjy	89	33	57	68	0,82	2,72
30	@megaspore	46	41	100	54,52	0,66	2,71
31	@glory7	124	96	25	21,72	0,26	2,52
32	@mastertri	117	75	24	24,57	0,3	2,23
33	@jsj1215	97	46	32	38,46	0,46	2,14
34	@cjsdns	67	9	77	192,51	2,32	2,1
35	@xinnong	56	51	29	32,91	0,4	2,03
36	@hjk96	128	64	24	24,94	0,3	1,93
37	@seunglimdaddy	143	45	23	34,96	0,42	1,9
38	@sndbox	16	13	39	113,9	1,37	1,79
39	@ssm1810	27	20	100	72,05	0,87	1,74
40	@pilotto	40	19	100	71,1	0,86	1,64
41	@allsale	96	45	28	29,65	0,36	1,62
42	@wisdomandjustice	68	44	26	30,28	0,36	1,61
43	@yangpankil27	170	93	27	13,36	0,16	1,5
44	@newiz	150	118	26	10,15	0,12	1,45
45	@gghite	79	46	44	24,08	0,29	1,34
46	@peterchung	51	33	77	32,47	0,39	1,3
47	@twinbraid	57	33	51	31,72	0,38	1,27
48	@snackplus	115	87	36	12,05	0,15	1,27
49	@sonki999	92	47	36	21,5	0,26	1,22
50	@feyee95	73	57	45	17,18	0,21	1,19
51	@jaytop	125	65	22	14,73	0,18	1,16
52	@dodoim	65	15	75	63,35	0,76	1,15
53	@kilu83	85	61	33	15,46	0,19	1,14
54	@arama	37	12	100	73,77	0,89	1,07
55	@pairplay	46	23	22	37,57	0,45	1,05
56	@eunstar	56	24	48	36,2	0,44	1,05
57	@isaaclab	61	23	98	36,89	0,44	1,03
58	@edwardcha888	55	38	54	21,81	0,26	1
59	@bitcoingodperson	62	27	65	28,71	0,35	0,94
60	@orange5008	140	67	32	11,04	0,13	0,9
61	@kiwifi	177	101	17	7,21	0,09	0,88
62	@sitha	80	44	41	16,21	0,2	0,86
63	@m8586	64	37	72	18,87	0,23	0,85
64	@docudai-jun	110	51	57	13,78	0,17	0,85
65	@wony	31	17	95	39,67	0,48	0,82
66	@twinpapa	113	51	36	12,94	0,16	0,8
67	@bree1042	139	72	33	9,2	0,11	0,8
68	@bandabi	29	17	32	38,25	0,46	0,79
69	@happyberrysboy	54	37	56	17,19	0,21	0,77
70	@wonsama	139	123	25	5,14	0,06	0,77
71	@golbang	43	26	45	24,29	0,29	0,76
72	@ssasseo	179	134	99	4,38	0,05	0,71
73	@fenrir78	55	34	55	17,18	0,21	0,71
74	@yoon	48	42	72	13,23	0,16	0,67
75	@onehand	448	165	8	3,26	0,04	0,65
76	@eversloth	115	68	33	7,54	0,09	0,62
77	@steempayco	14	13	64	39,6	0,48	0,62
78	@rtytf	41	29	70	17,24	0,21	0,61
79	@pppnim	114	61	37	8,16	0,1	0,6
80	@leesol	52	49	55	9,83	0,12	0,58
81	@emotionalp	103	74	47	6,36	0,08	0,57
82	@tasteem	5	4	29	114,88	1,38	0,56
83	@crowsaint	170	90	51	4,92	0,06	0,54
84	@girina79	83	63	34	7,08	0,09	0,54
85	@neojew	54	28	34	15,89	0,19	0,54
86	@bbana	22	12	92	36,62	0,44	0,53
87	@jhy2246	215	66	16	6,62	0,08	0,53
88	@eesa224	54	25	49	17,09	0,21	0,52
89	@tailcock	133	71	38	5,82	0,07	0,5
90	@ksc	65	37	50	11,01	0,13	0,49
91	@goodhello	76	40	27	9,87	0,12	0,48
92	@rideteam	96	51	21	7,4	0,09	0,46
93	@floridasnail	40	25	31	15,26	0,18	0,46
94	@muwon123	22	22	74	17,44	0,21	0,46
95	@agawolf	105	74	3	5,1	0,06	0,46
96	@levoyant	32	25	68	14,5	0,17	0,44
97	@kibumh	138	54	39	6,59	0,08	0,43
98	@hodolbak	96	58	23	5,99	0,07	0,42
99	@danihwang	40	24	53	14,43	0,17	0,42
100	@sharehows	50	35	21	9,71	0,12	0,41
101	@hanwoo	60	26	60	12,52	0,15	0,39
102	@sigizzang	21	2	100	156,04	1,88	0,38
103	@lovelyyeon	119	44	24	6,98	0,08	0,37
104	@sadmt	106	43	38	7,01	0,08	0,36
105	@dayul	47	31	55	9,6	0,12	0,36
106	@changyoon	22	12	91	25,1	0,3	0,36
107	@tata1	34	29	63	10,13	0,12	0,36
108	@minyool	36	13	86	22,07	0,27	0,35
109	@kyunga	50	43	82	6,73	0,08	0,35
110	@hersnz	109	86	21	3,16	0,04	0,33
111	@stimcity	17	10	100	27,36	0,33	0,33
112	@ddllddll	85	48	72	5,69	0,07	0,33
113	@gochuchamchi	39	32	100	8,26	0,1	0,32
114	@skuld2000	72	48	45	5,54	0,07	0,32
115	@roychoi	37	14	44	18,06	0,22	0,31
116	@warofcraft	86	46	20	5,56	0,07	0,31
117	@happyworkingmom	16	13	100	19,23	0,23	0,3
118	@steemitjp	64	19	29	13,01	0,16	0,3
119	@boostyou	65	45	38	5,48	0,07	0,3
120	@danbain	30	11	86	22,5	0,27	0,3
121	@leomichael	21	10	80	23,64	0,28	0,29
122	@okja	49	30	61	7,65	0,09	0,28
123	@joeypark	31	20	81	11,1	0,13	0,27
124	@freegon	77	51	55	4,15	0,05	0,26
125	@kyju	103	61	28	3,51	0,04	0,26
126	@ssin	31	24	8	8,77	0,11	0,25
127	@garden.park	41	27	100	7,21	0,09	0,24
128	@seoinseock	32	23	42	8,67	0,1	0,24
129	@rosaria	55	36	46	5,4	0,07	0,24
130	@vingroup	33	2	100	94,65	1,14	0,23
131	@katiesa	57	26	47	7,18	0,09	0,23
132	@kmlee	40	31	49	6,1	0,07	0,23
133	@slowwalker	13	5	15	38,76	0,47	0,23
134	@leesongyi	30	23	73	8,03	0,1	0,22
135	@hyokhyok	47	33	36	5,56	0,07	0,22
136	@hooo	54	24	78	7,73	0,09	0,22
137	@soosoo	63	22	63	7,98	0,1	0,21
138	@nexgen	20	16	100	11,08	0,13	0,21
139	@l-s-h	36	5	93	35,36	0,43	0,21
140	@rayheyna	50	27	75	6,42	0,08	0,21
141	@kimkwanghwa	109	53	41	3,05	0,04	0,2
142	@blockchainnomad	21	17	100	9,78	0,12	0,2
143	@stella12	61	41	36	4,05	0,05	0,2
144	@shiho	28	21	100	7,87	0,09	0,2
145	@tasquai	59	11	100	14,7	0,18	0,2
146	@kyle-event	31	14	95	10,94	0,13	0,19
147	@matildah	123	84	16	1,88	0,02	0,19
148	@isis-lee	95	68	29	2,25	0,03	0,19
149	@venti	32	18	100	8,41	0,1	0,18
150	@songvely	54	37	48	4,11	0,05	0,18
151	@vimva	24	22	100	6,83	0,08	0,18
152	@himapan	47	26	48	5,63	0,07	0,18
153	@ballantines30	67	29	45	5,09	0,06	0,18
154	@wherever	29	24	100	6,34	0,08	0,18
155	@brent1042	12	7	88	19,77	0,24	0,17
156	@lager68	42	21	81	6,67	0,08	0,17
157	@nomader	34	22	86	6,28	0,08	0,17
158	@innovit	29	22	90	5,93	0,07	0,16
159	@abcteacher	31	22	88	6,13	0,07	0,16
160	@cowboybebop	67	48	94	2,68	0,03	0,16
161	@ppomppu	26	2	100	67,8	0,82	0,16
162	@sinner264	37	13	91	9,52	0,11	0,15
163	@gogumacat	18	10	100	12,27	0,15	0,15
164	@sirin418	77	64	57	1,99	0,02	0,15
165	@koreanguy	26	15	100	8,28	0,1	0,15
166	@newbijohn	44	39	54	3,25	0,04	0,15
167	@solnamu	44	15	100	8,01	0,1	0,15
168	@ganzi	88	81	99	1,39	0,02	0,14
169	@noisysky	171	137	15	0,86	0,01	0,14
170	@ryanhkr	56	44	76	2,66	0,03	0,14
171	@eternalight	51	35	75	3,33	0,04	0,14
172	@smigol	88	39	25	2,68	0,03	0,13
173	@cine	95	41	31	2,6	0,03	0,13
174	@eth0619	41	13	77	8,54	0,1	0,13
175	@kookmin	84	51	70	2,14	0,03	0,13
176	@raah	62	53	45	1,83	0,02	0,12
177	@altobit	42	26	43	3,77	0,05	0,12
178	@buglife	45	36	100	2,79	0,03	0,12
179	@romi	20	17	85	5,93	0,07	0,12
180	@energizer000	106	76	24	1,27	0,02	0,12
181	@clayop	6	5	100	19,74	0,24	0,12
182	@asinayo	81	57	45	1,72	0,02	0,12
183	@yann03	40	33	81	2,89	0,03	0,12
184	@funfund	33	8	50	10,9	0,13	0,11
185	@kyslmate	60	46	99	2,01	0,02	0,11
186	@jhparksy	50	23	100	3,94	0,05	0,11
187	@yuky	25	15	100	6,31	0,08	0,11
188	@jungjunghoon	70	53	41	1,67	0,02	0,11
189	@tutorcho	58	34	99	2,64	0,03	0,11
190	@autokjk70	66	34	58	2,7	0,03	0,11
191	@foreneo	27	21	67	4,36	0,05	0,11
192	@krexchange	28	27	100	3,46	0,04	0,11
193	@kwonjs77	82	4	89	22,26	0,27	0,11
194	@greenlatte	46	35	28	2,44	0,03	0,1
195	@up1	200	77	16	1,08	0,01	0,1
196	@uksama	73	49	63	1,67	0,02	0,1
197	@kimegggg	36	29	100	2,77	0,03	0,1
198	@trexlow	33	26	100	3,26	0,04	0,1
199	@kbaek81	27	21	74	3,94	0,05	0,1
200	@woolnami	23	11	83	7,24	0,09	0,1

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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	426	158	1	207,44	2,5	39,68
2	@appreciator	5	3	7	68,38	0,82	0,25
3	@busy.org	170	68	1	2,64	0,03	0,22
4	@therising	3	3	18	41,46	0,5	0,15
5	@upmewhale	3	3	16	30,17	0,36	0,11

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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.

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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.