TOP 200 effective Steemit curators in KR category for the last week (2018.05.14-2018.05.20)

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	kr	1316	4779	27333	3,293
2	spanish	2205	4677	11134	1,341
3	deutsch	377	1038	7482	0,901
4	cn	291	1054	5954	0,717
5	tr	293	1008	5240	0,631
6	ita	154	470	4318	0,52
7	fr	130	309	2479	0,299
8	japanese	130	424	1940	0,234
9	indonesia	661	1716	1924	0,232
10	myanmar	134	340	1888	0,227
11	india	79	204	1810	0,218
12	pt	98	296	1486	0,179
13	philippines	106	235	1249	0,151
14	ru	51	225	1168	0,141
15	thai	152	456	1149	0,139

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.

1316 authors published their posts during this week.

6224 accounts participated in the content curating according to information from the database.

77303 votes were made during this week.

27329,99 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	1652	634	2	1371,43	5,02	660,7
2	@skan	542	201	7	1877,22	6,87	286,72
3	@abdullar	257	166	12	527,39	1,93	66,52
4	@bramd	108	66	37	1201,77	4,4	60,27
5	@centering	218	141	18	373,5	1,37	40,02
6	@yungonkim	351	226	12	190,52	0,7	32,72
7	@fur2002ks	261	135	17	278,75	1,02	28,6
8	@cheongpyeongyull	220	81	20	376,67	1,38	23,18
9	@songa0906	255	151	15	200,67	0,73	23,03
10	@stylegold	269	206	12	141,43	0,52	22,14
11	@leesol	106	94	42	245,42	0,9	17,53
12	@gopaxkr	17	17	100	1230,25	4,5	15,89
13	@lalaflor	186	127	21	161,5	0,59	15,59
14	@shiho	167	112	22	182,73	0,67	15,55
15	@jamieinthedark	264	148	10	123,12	0,45	13,85
16	@noctisk	173	88	22	194,91	0,71	13,03
17	@wonsama	351	288	10	58,42	0,21	12,78
18	@khaiyoui	172	96	27	172,22	0,63	12,56
19	@soyo	194	118	14	139,37	0,51	12,5
20	@oldstone	99	53	26	298,88	1,09	12,04
21	@hwan100	170	82	20	190,09	0,7	11,84
22	@pilotto	97	52	100	284,58	1,04	11,24
23	@arama	40	23	58	600,04	2,2	10,49
24	@jinh0729	269	192	7	69,8	0,26	10,18
25	@pairplay	131	47	28	267,71	0,98	9,56
26	@kimthewriter	145	88	19	133,86	0,49	8,95
27	@woo7739	120	73	17	157,45	0,58	8,73
28	@xinnong	106	75	26	150,12	0,55	8,56
29	@cjsdns	68	24	61	440,49	1,61	8,03
30	@mastertri	160	115	17	78,22	0,29	6,84
31	@hjk96	187	97	22	91,56	0,34	6,75
32	@jsj1215	165	65	28	130,39	0,48	6,44
33	@hr1	208	158	0	52,77	0,19	6,34
34	@jack8831	58	38	89	215,1	0,79	6,21
35	@onehand	550	185	4	43,53	0,16	6,12
36	@kilu83	171	132	21	59,89	0,22	6,01
37	@nexgen	87	75	51	90,42	0,33	5,15
38	@joceo00	49	37	23	174,67	0,64	4,91
39	@isaaclab	136	54	38	114,41	0,42	4,69
40	@gilma	209	110	20	55,67	0,2	4,65
41	@muwon123	95	58	37	99,01	0,36	4,36
42	@eunstar	80	33	50	159,36	0,58	4
43	@rothbardianism	125	72	29	70,6	0,26	3,86
44	@twinbraid	85	44	45	115,01	0,42	3,85
45	@lucky2	141	79	19	62,68	0,23	3,76
46	@rokyupjung	157	98	39	47,92	0,18	3,57
47	@luckystrikes	85	37	39	124,97	0,46	3,51
48	@dodoim	69	24	63	189,14	0,69	3,45
49	@seoinseock	163	103	38	43,86	0,16	3,43
50	@happyworkingmom	93	51	29	88,2	0,32	3,42
51	@lee2	161	82	18	53,63	0,2	3,34
52	@girina79	145	106	32	38,45	0,14	3,1
53	@jjy	69	31	41	130,33	0,48	3,07
54	@jaytop	178	82	18	46,4	0,17	2,89
55	@sharehows	114	59	24	63,83	0,23	2,86
56	@leemikyung	51	34	18	106,01	0,39	2,74
57	@jingdol	58	38	39	94,15	0,34	2,72
58	@zzings	84	41	58	84,16	0,31	2,62
59	@lovehm1223	153	79	26	43,53	0,16	2,61
60	@joeuhw	67	30	42	110,59	0,4	2,52
61	@crawfish37	61	43	32	76,92	0,28	2,51
62	@neojew	101	46	28	70,07	0,26	2,45
63	@allsale	100	41	38	75,66	0,28	2,36
64	@holic7	66	34	33	91,31	0,33	2,36
65	@happyberrysboy	75	47	48	62,9	0,23	2,25
66	@ilovemylife	170	57	23	51,16	0,19	2,22
67	@momoggo	67	41	24	70,9	0,26	2,21
68	@bbana	51	23	46	121,47	0,44	2,12
69	@edwardcha888	207	100	28	27,67	0,1	2,1
70	@m8586	101	58	40	47,19	0,17	2,08
71	@heeyaa35	80	40	44	67,64	0,25	2,06
72	@isis-lee	172	111	25	24,33	0,09	2,05
73	@kmlee	49	42	22	63,47	0,23	2,03
74	@goodnewworld	65	6	52	445,45	1,63	2,03
75	@smigol	241	126	11	20,81	0,08	1,99
76	@wony	42	28	62	93,31	0,34	1,99
77	@changyoon	51	35	93	73,33	0,27	1,95
78	@uksama	129	77	30	31,97	0,12	1,87
79	@seunglimdaddy	117	36	28	67,27	0,25	1,84
80	@leesongyi	78	56	52	43,19	0,16	1,84
81	@fenrir78	92	51	48	47,36	0,17	1,84
82	@golbang	45	31	57	78,18	0,29	1,84
83	@romi	114	59	36	39,84	0,15	1,79
84	@venti	84	32	71	71,54	0,26	1,74
85	@feyee95	62	54	52	42,2	0,15	1,73
86	@jsquare	77	62	45	36,27	0,13	1,71
87	@korea	68	60	12	37,4	0,14	1,71
88	@yangpankil27	190	104	23	21,08	0,08	1,67
89	@sindoja	180	86	19	25,27	0,09	1,65
90	@rubymaker	19	13	100	166,42	0,61	1,64
91	@slowwalker	19	11	21	195,93	0,72	1,64
92	@jhy2246	296	95	15	21,71	0,08	1,57
93	@supergiant	62	45	34	45,68	0,17	1,56
94	@beoped	179	82	16	24,24	0,09	1,51
95	@wotjsozm	60	40	53	48,46	0,18	1,47
96	@bree1042	141	95	25	20,17	0,07	1,46
97	@l-s-h	65	31	36	61,72	0,23	1,45
98	@morning	28	22	58	84,98	0,31	1,42
99	@raah	99	63	51	29,76	0,11	1,42
100	@agawolf	206	116	2	15,08	0,06	1,33
101	@sonki999	122	43	44	40,71	0,15	1,33
102	@danihwang	65	45	31	37,1	0,14	1,27
103	@gidung	145	90	27	18,44	0,07	1,26
104	@cheolwoo-kim	86	45	28	35,99	0,13	1,23
105	@gochuchamchi	40	31	100	52,34	0,19	1,23
106	@yourhoney	97	55	37	29,29	0,11	1,22
107	@hanwoo	90	38	59	42,19	0,15	1,22
108	@sunghaw	98	60	34	26,28	0,1	1,2
109	@roychoi	47	22	50	69,38	0,25	1,16
110	@silkroadgo	93	48	33	31,91	0,12	1,16
111	@goodhello	111	41	27	37,04	0,14	1,15
112	@knowkorea	95	48	30	31,47	0,12	1,15
113	@carrotcake	79	56	67	27,02	0,1	1,15
114	@boostyou	112	70	35	21,46	0,08	1,14
115	@robocity	59	30	42	49,87	0,18	1,14
116	@kyunga	123	85	63	17,71	0,06	1,14
117	@dick.sledge	340	227	1	6,57	0,02	1,13
118	@kimsungmin	92	49	42	28,99	0,11	1,08
119	@clarkgold	76	33	58	42,91	0,16	1,08
120	@ksc	83	38	47	37,19	0,14	1,07
121	@newiz	83	64	34	21,74	0,08	1,06
122	@sitha	118	69	29	19,95	0,07	1,05
123	@corn113	59	25	50	53,87	0,2	1,02
124	@powerguy	16	15	100	86,94	0,32	0,99
125	@twinpapa	127	55	38	23,78	0,09	0,99
126	@springlining	90	30	54	43	0,16	0,98
127	@vimva	67	51	60	24,42	0,09	0,95
128	@energizer000	237	127	24	9,52	0,03	0,92
129	@megaspore	32	18	71	67,18	0,25	0,92
130	@armdown	47	29	83	41,49	0,15	0,91
131	@cool191	65	16	81	74,38	0,27	0,9
132	@bumblebee2018	77	65	40	18,2	0,07	0,9
133	@danbain	24	21	85	55,63	0,2	0,89
134	@leomichael	41	17	29	67,96	0,25	0,88
135	@dayul	69	29	63	39,5	0,14	0,87
136	@annvely	59	46	63	24,94	0,09	0,87
137	@sismaru	39	37	41	30,39	0,11	0,85
138	@cchyyy	51	21	92	53	0,19	0,85
139	@yirgacheffe2shot	58	28	63	39,63	0,15	0,84
140	@hooo	123	42	73	26	0,1	0,83
141	@yangmok701	179	102	10	10,68	0,04	0,83
142	@kwiba1592	30	11	91	98,36	0,36	0,82
143	@hyojunguy	46	37	100	28,87	0,11	0,81
144	@chunseungho	46	38	98	27,94	0,1	0,81
145	@jdoill	70	46	78	22,97	0,08	0,8
146	@ribai	33	16	88	65,96	0,24	0,8
147	@nhj12311	56	47	54	22,18	0,08	0,79
148	@eversloth	114	62	31	16,83	0,06	0,79
149	@jjjjabe	94	69	46	15,09	0,06	0,79
150	@yoonwonlim	32	11	82	93,71	0,34	0,78
151	@olorin	35	23	100	44,03	0,16	0,77
152	@jxwonah	25	19	87	52,79	0,19	0,76
153	@ohnamu	108	68	44	14,76	0,05	0,76
154	@leebs12	106	49	44	19,41	0,07	0,72
155	@dreamya	67	44	48	20,57	0,08	0,69
156	@rosaria	73	39	51	23,4	0,09	0,69
157	@pyorinho	64	32	45	28	0,1	0,68
158	@tata1	32	29	70	30,54	0,11	0,67
159	@isi3	100	63	22	13,49	0,05	0,65
160	@marketstack	346	243	1	3,46	0,01	0,64
161	@lesto	74	58	37	14,62	0,05	0,64
162	@joeypark	57	32	48	26,26	0,1	0,64
163	@greenlatte	103	64	22	12,9	0,05	0,63
164	@daldalmango	72	40	41	20,48	0,07	0,62
165	@reinjun	31	18	91	45,13	0,17	0,62
166	@sadmt	115	43	34	18,82	0,07	0,61
167	@levoyant	39	29	98	27,75	0,1	0,61
168	@jay4u	42	29	82	27,16	0,1	0,6
169	@yoon	51	39	76	20,09	0,07	0,6
170	@ramengirl	21	14	95	55,45	0,2	0,59
171	@bandabi	15	14	36	55,65	0,2	0,59
172	@skuld2000	70	44	55	17,39	0,06	0,58
173	@stella12	78	56	41	13,43	0,05	0,57
174	@songvely	107	57	38	13,18	0,05	0,57
175	@skt1	42	19	49	39,26	0,14	0,57
176	@tailcock	119	63	34	11,49	0,04	0,55
177	@asbear	69	61	52	11,93	0,04	0,55
178	@wisdomandjustice	61	41	47	17,3	0,06	0,54
179	@tradingideas	67	36	76	19,71	0,07	0,54
180	@krexchange	47	33	100	21,24	0,08	0,53
181	@floridasnail	31	25	30	27,6	0,1	0,52
182	@storysharing	53	35	100	18,79	0,07	0,5
183	@familydoctor	55	41	64	15,95	0,06	0,5
184	@wherever	36	33	100	19,9	0,07	0,5
185	@sunsu	128	83	23	7,76	0,03	0,49
186	@no1smile	77	42	49	15,05	0,06	0,48
187	@kungdel	109	71	40	8,88	0,03	0,48
188	@gaeteul	178	74	28	8,32	0,03	0,47
189	@rideteam	71	38	22	16,16	0,06	0,47
190	@sweetpapa	66	40	49	15,41	0,06	0,47
191	@relaxkim	51	30	54	20,11	0,07	0,46
192	@wcuisine	38	32	71	18,88	0,07	0,46
193	@kyju	120	53	30	10,98	0,04	0,44
194	@golfda	31	21	55	27,77	0,1	0,44
195	@hodolbak	137	69	25	8,21	0,03	0,43
196	@granturismo	43	33	52	16,99	0,06	0,43
197	@ayogom	135	81	27	6,89	0,03	0,42
198	@lighthil	31	24	100	23,27	0,09	0,42
199	@tk0319	62	37	85	14,86	0,05	0,42
200	@innovit	39	33	51	16,48	0,06	0,41

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	414	144	1	420,94	1,54	46,06
2	@appreciator	13	8	8	580,77	2,13	3,53
3	@upme	24	13	4	297,95	1,09	2,94
4	@busy.org	227	92	1	41,67	0,15	2,91
5	@rocky1	15	11	5	224,06	0,82	1,87
6	@smartsteem	15	11	3	216,96	0,79	1,81
7	@therising	14	9	6	137,45	0,5	0,94
8	@promobot	6	4	18	184,48	0,68	0,56
9	@upmewhale	10	6	10	95,76	0,35	0,44

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.