TOP 200 effective Steemit curators in KR category for the last week (2018.04.23-2018.04.29)

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-50 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	kr	1390	5830	46613	3,931
2	spanish	2212	4816	14306	1,207
3	deutsch	385	1100	7957	0,671
4	cn	304	1149	7736	0,652
5	tr	279	926	7691	0,649
6	ita	173	497	5637	0,475
7	myanmar	167	556	3513	0,296
8	fr	124	350	3004	0,253
9	indonesia	771	2059	2887	0,244
10	japanese	148	495	2589	0,218
11	pt	112	381	2307	0,195
12	thai	144	474	1656	0,14

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.

1392 authors published their posts during this week.

9616 accounts participated in the content curating according to information from the database.

78870 votes were made during this week.

39297,12 SBD - is the total author rewards for this week.

TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@virus707	603	429	4	1638,98	4,17	505,12
2	@skan	550	208	5	2322,39	5,91	347,02
3	@abdullar	301	199	9	813,41	2,07	116,28
4	@bramd	107	68	35	1750,16	4,45	85,5
5	@hr1	543	320	0	182,84	0,47	42,03
6	@oldstone	126	69	31	827,02	2,1	40,99
7	@songa0906	372	193	11	286,63	0,73	39,74
8	@joceo00	180	73	17	713,71	1,82	37,43
9	@centering	202	98	20	488,79	1,24	34,41
10	@soyo	257	133	11	356,15	0,91	34,03
11	@fur2002ks	236	128	14	298,28	0,76	27,43
12	@leesol	97	84	32	445,7	1,13	26,9
13	@leemikyung	200	78	16	475,6	1,21	26,65
14	@lalaflor	230	164	18	211,98	0,54	24,97
15	@cheongpyeongyull	181	78	21	444,54	1,13	24,91
16	@korea	197	93	15	367,58	0,94	24,56
17	@stylegold	215	158	17	213,34	0,54	24,22
18	@kimthewriter	161	99	15	310,12	0,79	22,06
19	@jinh0729	370	224	7	127,45	0,32	20,51
20	@shiho	116	85	17	256,75	0,65	15,68
21	@jamieinthedark	244	147	10	147,92	0,38	15,62
22	@kmlee	91	72	23	288,73	0,73	14,93
23	@cjsdns	109	66	29	310,28	0,79	14,71
24	@jewel-lover	170	137	48	128,7	0,33	12,67
25	@wonsama	289	251	11	67,69	0,17	12,21
26	@jack8831	63	43	58	343,15	0,87	10,6
27	@hwan100	121	62	26	217,51	0,55	9,69
28	@khaiyoui	110	58	40	218,47	0,56	9,1
29	@mastertri	172	103	18	120,28	0,31	8,9
30	@rubymaker	43	30	100	364,87	0,93	7,86
31	@arama	31	19	55	546,95	1,39	7,47
32	@minyool	146	97	35	105,97	0,27	7,38
33	@jsj1215	152	59	30	173,18	0,44	7,34
34	@girina79	240	148	27	68,95	0,18	7,33
35	@muwon123	111	77	27	130,24	0,33	7,2
36	@pilotto	54	28	98	352,49	0,9	7,09
37	@woo7739	95	71	13	132,95	0,34	6,78
38	@xinnong	83	64	26	146,59	0,37	6,74
39	@lee2	162	89	25	104,35	0,27	6,67
40	@momoggo	94	63	24	144,73	0,37	6,55
41	@yungonkim	118	61	21	144,58	0,37	6,34
42	@onehand	336	200	7	43,26	0,11	6,22
43	@hjk96	152	78	25	110,65	0,28	6,2
44	@sharehows	106	58	30	142,36	0,36	5,93
45	@ksc	108	44	33	146,8	0,37	4,64
46	@noctisk	169	82	1	75,61	0,19	4,45
47	@m8586	140	79	36	78,03	0,2	4,43
48	@neojew	112	55	30	111,31	0,28	4,4
49	@kilu83	107	86	35	68,39	0,17	4,23
50	@jjy	67	38	38	154,35	0,39	4,21
51	@eunstar	72	30	49	193,69	0,49	4,17
52	@crawfish37	57	44	40	131,09	0,33	4,14
53	@isaaclab	110	44	38	129,73	0,33	4,1
54	@zzings	102	50	49	113,19	0,29	4,07
55	@goodnewworld	72	11	55	499,66	1,27	3,95
56	@fenrir78	137	81	33	67,2	0,17	3,91
57	@morning	33	28	61	192,62	0,49	3,87
58	@jsquare	89	66	43	81,72	0,21	3,87
59	@sismaru	95	74	32	70,8	0,18	3,76
60	@twinbraid	62	41	49	115,72	0,29	3,41
61	@bbana	66	35	53	132,19	0,34	3,32
62	@happyberrysboy	72	50	54	90,45	0,23	3,25
63	@supergiant	82	54	36	82,22	0,21	3,19
64	@uksama	133	95	28	46,45	0,12	3,17
65	@danbain	50	41	57	107,43	0,27	3,16
66	@seunglimdaddy	141	46	24	91,42	0,23	3,02
67	@feyee95	105	67	38	62,57	0,16	3,01
68	@joeuhw	65	30	37	128,79	0,33	2,78
69	@slowwalker	26	9	22	419,53	1,07	2,71
70	@kuri12	57	49	47	75,57	0,19	2,66
71	@ilovemylife	161	55	21	67,12	0,17	2,65
72	@wotjsozm	87	47	50	77,04	0,2	2,6
73	@happyworkingmom	67	41	30	88,11	0,22	2,6
74	@roychoi	70	39	33	89,74	0,23	2,51
75	@allsale	100	37	33	92,76	0,24	2,47
76	@smigol	221	124	11	27,52	0,07	2,45
77	@ribai	57	24	76	137,03	0,35	2,36
78	@holic7	70	35	23	93,76	0,24	2,36
79	@jingdol	42	27	47	121,9	0,31	2,36
80	@jaytop	112	60	26	53,63	0,14	2,31
81	@romi	111	64	32	48,92	0,12	2,25
82	@megaspore	41	22	86	142,64	0,36	2,25
83	@withme	68	45	77	69,28	0,18	2,24
84	@lovehm1223	117	62	29	48,1	0,12	2,14
85	@leomichael	47	27	31	109,74	0,28	2,13
86	@heeyaa35	73	33	42	85,32	0,22	2,02
87	@dodoim	52	12	84	230,47	0,59	1,99
88	@extrashin	128	91	30	29,74	0,08	1,94
89	@raah	112	71	45	36,87	0,09	1,88
90	@leesongyi	71	51	46	49,65	0,13	1,82
91	@danihwang	68	50	29	50,69	0,13	1,82
92	@hanwoo	93	36	54	69,08	0,18	1,79
93	@joeypark	96	62	35	40,12	0,1	1,79
94	@golfda	52	40	61	61,15	0,16	1,76
95	@edwardcha888	156	95	29	25,82	0,07	1,76
96	@gidung	146	88	28	26,89	0,07	1,7
97	@venti	66	29	69	80,14	0,2	1,67
98	@jhy2246	247	93	16	24,64	0,06	1,65
99	@olorin	34	29	97	79,24	0,2	1,65
100	@leebs12	81	60	41	37,31	0,09	1,61
101	@marketstack	332	204	1	10,63	0,03	1,56
102	@luckystrikes	50	26	36	80,07	0,2	1,5
103	@wherever	59	52	91	39,22	0,1	1,47
104	@agawolf	189	99	2	20,29	0,05	1,44
105	@sunghaw	94	56	38	35,21	0,09	1,42
106	@yourhoney	94	59	35	33,12	0,08	1,4
107	@goodhello	95	57	34	34,15	0,09	1,4
108	@beoped	144	76	16	25,35	0,06	1,38
109	@newiz	83	57	39	33,29	0,08	1,36
110	@candyboy	26	8	13	235,15	0,6	1,35
111	@etainclub	48	28	100	63,57	0,16	1,28
112	@rosaria	87	55	43	32,16	0,08	1,27
113	@gochuchamchi	53	37	100	47,35	0,12	1,26
114	@l-s-h	38	23	54	75,82	0,19	1,25
115	@golbang	29	18	71	95,44	0,24	1,23
116	@eversloth	158	81	18	21,12	0,05	1,23
117	@wony	32	17	64	100,27	0,26	1,22
118	@cheolwoo-kim	81	45	24	37,4	0,1	1,21
119	@sindoja	126	73	32	22,83	0,06	1,2
120	@lesto	85	73	39	22,58	0,06	1,18
121	@okja	91	36	53	45,68	0,12	1,18
122	@kyunga	121	82	78	19,81	0,05	1,17
123	@relaxkim	87	49	29	33,2	0,08	1,17
124	@daldalmango	102	45	37	36,16	0,09	1,17
125	@tradingideas	48	24	79	66,06	0,17	1,14
126	@yoonwonlim	36	11	79	143,74	0,37	1,14
127	@aabahee	50	16	98	98,53	0,25	1,13
128	@changyoon	47	37	70	41,67	0,11	1,11
129	@forhappywomen	21	18	66	84,6	0,22	1,09
130	@pyorinho	53	34	73	44,54	0,11	1,09
131	@ddllddll	156	74	45	20,3	0,05	1,08
132	@jungs	74	45	41	33,53	0,09	1,08
133	@clayop	20	13	80	112,33	0,29	1,05
134	@yangpankil27	123	69	30	21,05	0,05	1,04
135	@energizer000	196	105	28	13,85	0,04	1,04
136	@springlining	110	41	37	35,47	0,09	1,04
137	@nhj12311	68	51	40	27,71	0,07	1,02
138	@dayul	65	34	63	41,94	0,11	1,02
139	@ramengirl	18	14	100	98,99	0,25	1
140	@gopaxkr	4	4	100	343,25	0,87	0,99
141	@yangmok701	167	102	10	13,3	0,03	0,97
142	@heterodox	66	32	68	42,04	0,11	0,97
143	@dmsqlc0303	145	75	41	17,83	0,05	0,96
144	@nexgen	49	39	99	34,29	0,09	0,96
145	@hellocrypto	50	42	25	31,95	0,08	0,96
146	@jdoill	65	41	56	31,69	0,08	0,93
147	@corn113	44	23	44	56,44	0,14	0,93
148	@bumblebee2018	75	60	56	21,29	0,05	0,92
149	@cchyyy	49	22	79	57,17	0,15	0,9
150	@kimsungmin	81	38	43	31,74	0,08	0,87
151	@skt1	47	16	59	73,91	0,19	0,85
152	@sadmt	109	50	33	23,25	0,06	0,84
153	@rokyupjung	38	31	86	37,56	0,1	0,84
154	@cyan2017	46	19	50	61,07	0,16	0,83
155	@wisdomandjustice	54	42	70	27,01	0,07	0,81
156	@noah326	53	42	29	26,71	0,07	0,81
157	@seoinseock	65	44	40	25,62	0,07	0,81
158	@krwhale	42	17	47	65,47	0,17	0,8
159	@zorba	178	107	44	10,42	0,03	0,8
160	@yoon	37	35	85	30,71	0,08	0,77
161	@aiyren	26	20	89	53,55	0,14	0,77
162	@kim066	20	11	54	96,19	0,24	0,76
163	@rideteam	69	41	27	25,97	0,07	0,76
164	@ssin	28	18	19	57,73	0,15	0,75
165	@jooyoung	31	24	42	43,01	0,11	0,74
166	@powerguy	53	3	100	340,15	0,87	0,73
167	@hyojunguy	41	23	100	44,29	0,11	0,73
168	@vimva	41	36	88	26,94	0,07	0,7
169	@likersh7	123	87	32	10,85	0,03	0,68
170	@songvely	124	67	26	14,12	0,04	0,68
171	@chungjh	70	24	22	38,99	0,1	0,67
172	@fourseasons	52	24	62	39,08	0,1	0,67
173	@sonki999	94	37	38	24,74	0,06	0,66
174	@boostyou	56	42	54	21,81	0,06	0,66
175	@gilma	111	69	22	13,37	0,03	0,66
176	@krexchange	42	30	100	30,27	0,08	0,65
177	@gaeteul	148	75	28	11,9	0,03	0,64
178	@hodolbak	116	74	29	11,95	0,03	0,64
179	@ohnamu	87	57	32	14,79	0,04	0,61
180	@tailcock	127	76	51	10,96	0,03	0,6
181	@steemitjp	21	18	71	46,54	0,12	0,6
182	@greenswell	80	58	44	13,89	0,04	0,58
183	@clarkgold	60	18	58	44,69	0,11	0,58
184	@dreamya	63	47	42	17,3	0,04	0,58
185	@eunyx	38	25	49	31,88	0,08	0,57
186	@asbear	55	51	69	15,66	0,04	0,57
187	@otac	21	12	100	65,67	0,17	0,57
188	@jjjjabe	73	54	43	14,8	0,04	0,57
189	@dgha1004	61	51	100	15,35	0,04	0,56
190	@carrotcake	62	46	41	16,74	0,04	0,55
191	@rayheyna	54	30	91	25,73	0,07	0,55
192	@skuld2000	60	37	57	20,72	0,05	0,55
193	@hooo	62	26	100	29,32	0,07	0,55
194	@sitha	94	54	37	13,86	0,04	0,54
195	@stella12	71	45	40	16,59	0,04	0,54
196	@dmoons.kim	78	42	34	17,71	0,05	0,53
197	@gogumacat	21	14	100	53,16	0,14	0,53
198	@jobviet	41	18	54	40,84	0,1	0,53
199	@goodmans	53	13	88	55,15	0,14	0,52
200	@ssm1810	8	7	100	102,78	0,26	0,52

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	417	128	1	601,73	1,53	55,33
2	@rocky1	31	16	9	1108,41	2,82	12,74
3	@upme	35	20	4	607,92	1,55	8,73
4	@appreciator	35	18	4	662,09	1,68	8,56
5	@busy.org	289	114	1	74,54	0,19	6,1
6	@smartsteem	17	14	4	378,29	0,96	3,8
7	@postpromoter	14	8	3	399,79	1,02	2,3
8	@upmewhale	17	12	13	204,64	0,52	1,76
9	@buildawhale	11	8	5	299,78	0,76	1,72
10	@boomerang	17	9	12	260,08	0,66	1,68
11	@therising	15	11	6	177,31	0,45	1,4
12	@upmyvote	14	10	8	123,39	0,31	0,89
13	@promobot	8	7	10	162,78	0,41	0,82

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.

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.