TOP 200 effective Steemit curators in KR category for the last week (2018.04.09-2018.04.15)

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	1338	5369	26055	3,512
2	spanish	1968	4248	10810	1,457
3	cn	315	1290	6431	0,867
4	deutsch	344	1127	4066	0,548
5	ita	163	366	3047	0,411
6	tr	303	897	2849	0,384
7	myanmar	161	470	2339	0,315
8	japanese	147	498	2160	0,291
9	fr	134	333	2048	0,276
10	indonesia	699	1734	1839	0,248
11	pt	106	415	1059	0,143

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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1338 authors published their posts during this week.

8631 accounts participated in the content curating according to information from the database.

85446 votes were made during this week.

26118,05 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	867	473	4	1277,3	4,89	451,54
2	@skan	679	225	6	1974,67	7,56	332,06
3	@bramd	131	69	36	1199	4,59	61,83
4	@soyo	288	146	13	300,77	1,15	32,82
5	@abdullar	148	112	17	370,37	1,42	31
6	@centering	224	102	22	393,49	1,51	30
7	@noctisk	206	95	25	404,39	1,55	28,71
8	@oldstone	102	70	32	544,94	2,09	28,51
9	@cjsdns	249	139	15	258,73	0,99	26,88
10	@lalaflor	299	188	21	190,56	0,73	26,78
11	@songa0906	464	186	11	184,1	0,7	25,59
12	@joceo00	150	62	24	507,67	1,94	23,52
13	@cheongpyeongyull	212	83	23	354,69	1,36	22
14	@leesol	103	85	37	338,94	1,3	21,53
15	@leemikyung	193	80	20	358,9	1,37	21,46
16	@hr1	472	288	0	98,33	0,38	21,17
17	@kimthewriter	228	105	13	249,47	0,96	19,58
18	@korea	247	99	15	262,27	1	19,41
19	@fur2002ks	270	121	16	213,11	0,82	19,27
20	@kmlee	154	92	20	277,65	1,06	19,09
21	@yungonkim	298	190	79	127,39	0,49	18,09
22	@stylegold	200	132	21	155,84	0,6	15,37
23	@shiho	124	91	21	207,84	0,8	14,14
24	@hwan100	184	100	22	178,92	0,69	13,37
25	@kuri12	101	87	35	168,3	0,64	10,94
26	@wonsama	366	298	10	48,25	0,18	10,75
27	@jinh0729	287	190	8	73,74	0,28	10,47
28	@kilu83	216	158	35	76,96	0,29	9,09
29	@khaiyoui	125	63	31	182,04	0,7	8,57
30	@mastertri	189	104	20	88,31	0,34	6,86
31	@rubymaker	47	27	100	331,18	1,27	6,68
32	@jsj1215	164	67	36	132,28	0,51	6,62
33	@crawfish37	94	72	40	114,84	0,44	6,18
34	@muwon123	148	70	36	115,89	0,44	6,06
35	@sharehows	94	61	56	121,36	0,46	5,53
36	@forhappywomen	58	45	76	159,44	0,61	5,36
37	@goodnewworld	57	30	56	234,78	0,9	5,26
38	@hjk96	163	81	29	84,41	0,32	5,11
39	@morning	72	52	45	126,5	0,48	4,92
40	@onehand	402	195	9	33,62	0,13	4,9
41	@supergiant	129	83	33	78,14	0,3	4,85
42	@xinnong	92	67	22	95,56	0,37	4,79
43	@minyool	140	106	33	59,05	0,23	4,68
44	@dodoim	91	31	58	192,43	0,74	4,46
45	@twinbraid	100	53	45	112,08	0,43	4,44
46	@withme	110	72	45	80,07	0,31	4,31
47	@lee2	195	111	18	51,06	0,2	4,24
48	@momoggo	72	52	42	102,37	0,39	3,98
49	@isaaclab	152	61	28	86,56	0,33	3,95
50	@clayop	49	41	59	129,01	0,49	3,95
51	@pilotto	41	27	100	193,35	0,74	3,9
52	@happyberrysboy	120	76	41	66,74	0,26	3,79
53	@m8586	166	83	35	60,97	0,23	3,78
54	@danbain	94	61	36	80,18	0,31	3,66
55	@arama	19	14	64	347,45	1,33	3,64
56	@jsquare	93	66	53	72,42	0,28	3,57
57	@jjy	81	41	38	116,16	0,44	3,56
58	@megaspore	53	39	100	119,01	0,46	3,47
59	@zzings	146	63	39	73,31	0,28	3,45
60	@eunstar	82	29	55	150,44	0,58	3,26
61	@leeyh	70	39	33	102,44	0,39	2,99
62	@fenrir78	152	87	34	44,96	0,17	2,92
63	@seunglimdaddy	200	64	17	61,13	0,23	2,92
64	@lucky2	91	53	87	72,61	0,28	2,88
65	@extrashin	169	103	28	36,4	0,14	2,8
66	@sismaru	122	90	24	40,3	0,15	2,71
67	@tradingideas	111	69	40	52,29	0,2	2,7
68	@jaytop	163	80	23	44,14	0,17	2,64
69	@ksc	131	52	34	67,84	0,26	2,64
70	@ilovemylife	187	55	25	62,87	0,24	2,58
71	@girina79	146	97	30	35,53	0,14	2,58
72	@hansikhouse	65	50	32	68,09	0,26	2,54
73	@allsale	115	44	39	75,45	0,29	2,48
74	@neojew	108	45	31	72,66	0,28	2,44
75	@happyworkingmom	78	49	31	66,16	0,25	2,42
76	@heeyaa35	81	45	50	71,53	0,27	2,41
77	@leomichael	62	30	27	101,11	0,39	2,27
78	@romi	162	72	30	40,31	0,15	2,17
79	@woosungchoi	47	44	61	63,9	0,24	2,1
80	@feyee95	115	66	40	42,04	0,16	2,07
81	@jamieinthedark	174	113	3	23,75	0,09	2,01
82	@holic7	65	34	33	75,77	0,29	1,93
83	@eversloth	201	112	23	22,86	0,09	1,91
84	@agawolf	235	104	3	24,01	0,09	1,87
85	@yangmok701	291	140	13	16,46	0,06	1,72
86	@uksama	123	78	31	29,11	0,11	1,7
87	@smigol	280	132	8	16,8	0,06	1,66
88	@edwardcha888	162	93	43	23,68	0,09	1,65
89	@ribai	58	23	82	95,79	0,37	1,65
90	@wotjsozm	63	31	93	70,33	0,27	1,63
91	@yourhoney	157	79	29	27,48	0,11	1,62
92	@slowwalker	22	7	28	310,48	1,19	1,62
93	@jhy2246	277	113	16	18,53	0,07	1,56
94	@bbana	49	24	49	82,97	0,32	1,49
95	@jack8831	28	20	50	98,57	0,38	1,47
96	@candyboy	29	10	17	196,83	0,75	1,47
97	@cowongloball	81	53	48	36,59	0,14	1,45
98	@roychoi	60	31	44	57,53	0,22	1,33
99	@venti	81	36	56	49,41	0,19	1,33
100	@hanwoo	106	36	53	49,5	0,19	1,33
101	@hellocrypto	105	69	15	25,86	0,1	1,33
102	@woo7739	30	26	32	67,43	0,26	1,31
103	@gidung	149	90	31	19,12	0,07	1,29
104	@nhj12311	89	62	48	27,66	0,11	1,28
105	@aiyren	50	34	63	50,15	0,19	1,27
106	@cheolwoo-kim	109	56	22	30,28	0,12	1,27
107	@floridasnail	46	33	40	50,47	0,19	1,24
108	@noah326	90	53	35	31,03	0,12	1,23
109	@jdoill	132	75	36	21,96	0,08	1,23
110	@rokyupjung	97	55	59	29	0,11	1,19
111	@dayul	105	42	43	36,9	0,14	1,16
112	@golfda	42	31	99	49,25	0,19	1,14
113	@yangpankil27	140	82	27	18,23	0,07	1,12
114	@aabahee	46	23	94	64,91	0,25	1,12
115	@beoped	154	69	21	21,79	0,08	1,12
116	@joeypark	96	52	53	28,66	0,11	1,11
117	@danihwang	61	42	33	34,17	0,13	1,07
118	@raah	116	71	34	19,72	0,08	1,05
119	@sonki999	89	35	46	40,03	0,15	1,05
120	@golbang	31	22	68	63,32	0,24	1,04
121	@chungjh	99	37	23	37,71	0,14	1,04
122	@sindoja	155	85	30	16,27	0,06	1,03
123	@daldalmango	115	38	42	35,9	0,14	1,02
124	@goldenman	50	26	55	51,66	0,2	1
125	@sochul	14	10	100	133,62	0,51	1
126	@ramengirl	21	18	100	72,84	0,28	0,98
127	@bree1042	109	76	28	16,4	0,06	0,93
128	@goodhello	100	59	24	21,08	0,08	0,93
129	@steamsteem	139	69	8	17,85	0,07	0,92
130	@leesongyi	58	44	52	27,95	0,11	0,92
131	@rosaria	70	49	36	24,96	0,1	0,91
132	@kimsungmin	107	44	40	27,67	0,11	0,91
133	@frenzy27	51	48	87	25,03	0,1	0,9
134	@luckystrikes	45	21	59	56,44	0,22	0,89
135	@yoon	46	39	89	30,16	0,12	0,88
136	@relaxkim	74	33	56	35,2	0,13	0,87
137	@ssm1810	13	11	100	105,52	0,4	0,87
138	@marketstack	335	207	1	5,61	0,02	0,87
139	@bumblebee2018	100	77	31	14,99	0,06	0,86
140	@joeuhw	61	12	57	93,14	0,36	0,84
141	@ddllddll	182	68	30	16,52	0,06	0,84
142	@newiz	81	59	35	18,81	0,07	0,83
143	@heterodox	81	52	69	21,26	0,08	0,83
144	@cyan2017	51	28	52	38,98	0,15	0,82
145	@bue	114	107	100	10,29	0,04	0,82
146	@dreamya	99	72	39	15,13	0,06	0,81
147	@steemitjp	33	27	70	37,98	0,15	0,77
148	@wooboo	388	131	14	7,86	0,03	0,77
149	@jinuking	95	82	46	12,48	0,05	0,76
150	@hyokhyok	142	65	15	15,18	0,06	0,74
151	@boostyou	96	51	46	19,43	0,07	0,74
152	@carrotcake	67	56	53	17,76	0,07	0,74
153	@vimva	41	40	87	24,75	0,09	0,74
154	@asbear	89	79	98	12,58	0,05	0,74
155	@wherever	52	45	84	21,04	0,08	0,71
156	@sndbox	8	5	34	190,15	0,73	0,71
157	@okja	82	34	57	27,45	0,11	0,7
158	@leebs12	56	47	74	19,92	0,08	0,7
159	@corn113	54	29	31	31,89	0,12	0,69
160	@mipha	76	62	95	14,97	0,06	0,69
161	@skt1	52	20	54	45,55	0,17	0,68
162	@lesto	116	80	35	11,44	0,04	0,68
163	@skuld2000	80	48	63	19,04	0,07	0,68
164	@sunghaw	67	45	46	19,51	0,07	0,66
165	@koyuh8	91	53	54	16,59	0,06	0,66
166	@stella12	115	62	35	14,3	0,05	0,66
167	@yjpapa	38	24	100	36,28	0,14	0,65
168	@clarkgold	51	10	68	87,26	0,33	0,65
169	@kyunga	151	86	71	9,98	0,04	0,64
170	@jobviet	58	26	48	33,12	0,13	0,64
171	@springlining	171	53	62	16,14	0,06	0,64
172	@isi3	125	78	17	11,02	0,04	0,64
173	@krexchange	51	37	99	22,24	0,09	0,62
174	@chlwoaus	62	24	100	33,94	0,13	0,61
175	@bandabi	21	14	32	57,15	0,22	0,6
176	@yuky	67	47	75	17,18	0,07	0,6
177	@l-s-h	40	21	95	37,73	0,14	0,59
178	@lovehm1223	63	36	38	21,81	0,08	0,59
179	@armdown	44	30	65	26,05	0,1	0,58
180	@kangsukin	109	71	30	10,9	0,04	0,58
181	@storysharing	55	41	98	18,63	0,07	0,57
182	@sadmt	110	40	42	18,57	0,07	0,56
183	@yoonwonlim	38	7	90	107,58	0,41	0,56
184	@innovit	59	40	46	18,65	0,07	0,56
185	@eunyx	40	24	58	29,3	0,11	0,53
186	@cchyyy	50	19	74	37,12	0,14	0,53
187	@sm2mr	45	28	100	23,94	0,09	0,5
188	@wcuisine	48	26	77	25,38	0,1	0,49
189	@tailcock	144	81	48	8	0,03	0,48
190	@zorba	166	78	42	8,24	0,03	0,48
191	@lylm	23	21	73	30,04	0,12	0,47
192	@changyoon	42	29	80	21,49	0,08	0,47
193	@gilma	115	69	27	9,05	0,03	0,47
194	@estherkim	43	20	98	31,73	0,12	0,47
195	@otac	24	14	97	42,65	0,16	0,45
196	@jungs	53	32	49	18,19	0,07	0,44
197	@levoyant	64	40	100	14,47	0,06	0,43
198	@xiian	95	56	53	10,05	0,04	0,42
199	@sitha	102	47	47	11,58	0,04	0,41
200	@vip	58	33	50	16,55	0,06	0,41

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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.org	508	218	6	176,2	0,67	28,71
2	@upme	24	9	6	399,25	1,53	2,69
3	@busy.pay	17	14	6	80,29	0,31	0,84
4	@rocky1	10	9	5	118,71	0,45	0,8
5	@smartsteem	7	5	6	113,26	0,43	0,42

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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 Steemitt.

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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.