TOP 200 effective Steemit curators in CN category for the last week (2018.01.01-2018.01.07)

I want to share with you statistics about the most effective Steemit curators in CN 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

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

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

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 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.

567 authors published their posts during this week.

4949 accounts participated in the content curating according to information from the database.

32205 votes were made during this week.

21030,83 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	@abit	154	76	33	3681,78	17,51	493,5
2	@rivalhw	229	92	27	1553,02	7,38	251,99
3	@cqf	1944	567	1	59,36	0,28	59,36
4	@cnbuddy	407	133	14	236,34	1,12	55,44
5	@sweetsssj	12	8	80	2797,3	13,3	39,47
6	@htliao	272	95	23	234,45	1,11	39,28
7	@lemooljiang	146	40	32	232,98	1,11	16,44
8	@justyy	197	64	9	120,18	0,57	13,57
9	@arcange	270	96	7	78,57	0,37	13,3
10	@dapeng	105	56	57	126,94	0,6	12,54
11	@deanliu	39	18	67	367,9	1,75	11,68
12	@ace108	91	26	18	207,23	0,99	9,5
13	@busy.org	148	52	0	102,53	0,49	9,4
14	@trafalgar	16	3	39	1675,33	7,97	8,86
15	@joythewanderer	85	25	32	153,2	0,73	6,75
16	@victory622	170	66	23	57,51	0,27	6,69
17	@oflyhigh	22	6	90	501,21	2,38	5,3
18	@rea	23	8	77	375,63	1,79	5,3
19	@helene	45	17	77	171,54	0,82	5,14
20	@stacee	136	50	53	54,98	0,26	4,85
21	@nicolemoker	61	26	52	96,24	0,46	4,41
22	@tvb	211	90	29	24,31	0,12	3,86
23	@xiaoshancun	992	318	100	6,62	0,03	3,71
24	@nanosesame	245	95	19	21	0,1	3,52
25	@susanli3769	248	75	48	26,22	0,12	3,47
26	@fundurian	81	43	38	45,47	0,22	3,45
27	@hr1	63	51	0	36,92	0,18	3,32
28	@twinkledrop	49	21	92	84,36	0,4	3,12
29	@weiching	77	33	41	53,12	0,25	3,09
30	@hannahwu	285	110	36	13,52	0,06	2,62
31	@vincentyip	46	13	23	108,28	0,51	2,48
32	@arama	6	6	55	224,22	1,07	2,37
33	@alexis555	10	8	19	154,97	0,74	2,19
34	@magicmonk	61	22	47	55,85	0,27	2,17
35	@bue	72	55	100	21,71	0,1	2,11
36	@catwomanteresa	121	41	21	26,29	0,13	1,9
37	@susanlo	85	33	85	31,5	0,15	1,83
38	@raphaelle	266	97	6	10,65	0,05	1,82
39	@livingfree	13	8	21	126,54	0,6	1,79
40	@lifeisbulltrap	45	13	20	76,8	0,37	1,76
41	@renzhichu	151	69	93	14,31	0,07	1,74
42	@bring	328	85	100	11,27	0,05	1,69
43	@stabilowl	53	31	51	30	0,14	1,64
44	@wang-peilin	86	38	40	24,46	0,12	1,64
45	@breathewind	50	14	53	66,25	0,32	1,64
46	@linuslee0216	248	95	11	9,18	0,04	1,54
47	@krischy	59	22	100	37,48	0,18	1,45
48	@wilkinshui	48	14	100	58,32	0,28	1,44
49	@amylee	47	17	97	47,59	0,23	1,43
50	@guyverckw	48	14	60	57,94	0,28	1,43
51	@somebody	14	4	100	196,56	0,93	1,39
52	@victorier	53	17	93	45,59	0,22	1,37
53	@hkupvotebot	48	14	32	54,6	0,26	1,35
54	@livinguktaiwan	76	27	44	27,65	0,13	1,32
55	@xiaohui	17	5	93	145,8	0,69	1,29
56	@nextgen622	18	3	100	239,14	1,14	1,27
57	@dancingapple	148	65	33	10,63	0,05	1,22
58	@cornerstone	28	4	41	169,22	0,8	1,19
59	@kitcat	47	13	57	50,59	0,24	1,16
60	@tumutanzi	24	15	49	43,22	0,21	1,14
61	@bxt	38	15	51	40,04	0,19	1,06
62	@ygern	100	34	41	17,25	0,08	1,03
63	@travelgirl	49	31	23	18,15	0,09	0,99
64	@redes	12	4	19	136,6	0,65	0,96
65	@thomaskikansha	56	14	100	38,37	0,18	0,95
66	@ivysrono	144	27	46	19,35	0,09	0,92
67	@skenan	38	23	74	22,25	0,11	0,9
68	@slowwalker	6	3	17	164,52	0,78	0,87
69	@lydiachan	65	24	43	20,39	0,1	0,86
70	@vandadream	213	107	100	4,58	0,02	0,86
71	@mrspointm	72	37	40	12,73	0,06	0,83
72	@goodboyphilip	55	17	92	27,54	0,13	0,83
73	@winniex	96	38	54	11,77	0,06	0,79
74	@aaronli	57	19	89	22,86	0,11	0,77
75	@ripperone	7	6	20	72,79	0,35	0,77
76	@hqy	104	48	100	8,71	0,04	0,74
77	@glitterfart	2	2	52	209,47	1	0,74
78	@pharesim	25	15	0	27,6	0,13	0,73
79	@sylvia1997	69	30	100	13,59	0,06	0,72
80	@yvonnetse	60	16	87	24,81	0,12	0,7
81	@daydayup	48	28	78	13,58	0,06	0,67
82	@windowglass	46	17	98	21,68	0,1	0,65
83	@anomadsoul	4	4	19	91	0,43	0,64
84	@drunkevil	94	38	100	9,21	0,04	0,62
85	@herpetologyguy	39	8	40	43,41	0,21	0,61
86	@newhope	5	4	17	86,82	0,41	0,61
87	@chann	122	33	17	10,5	0,05	0,61
88	@ezzy	8	3	70	112,8	0,54	0,6
89	@sweetieprincess	83	17	44	19,53	0,09	0,59
90	@herlife	60	34	70	9,73	0,05	0,58
91	@wangwenjing	160	55	67	5,86	0,03	0,57
92	@jademont	28	6	100	50,19	0,24	0,53
93	@forexbrokr	41	5	100	58,24	0,28	0,51
94	@kenchung	48	13	100	22,05	0,1	0,51
95	@fr3eze	34	24	48	11,91	0,06	0,5
96	@towardsthesun	53	33	62	7,7	0,04	0,45
97	@jubi	25	8	97	31,48	0,15	0,44
98	@marylaw	53	18	64	13,44	0,06	0,43
99	@shenchensucc	132	32	100	7,68	0,04	0,43
100	@syh7758520	61	45	100	5,27	0,03	0,42
101	@shirlam	60	21	90	11,36	0,05	0,42
102	@kasho	12	1	100	233	1,11	0,41
103	@exyle	5	1	100	229,67	1,09	0,41
104	@idx	84	36	31	6,33	0,03	0,4
105	@carinewhy	47	13	100	17,41	0,08	0,4
106	@weisheng167388	67	35	100	6,42	0,03	0,4
107	@btcbtcbtc20155	92	26	76	8,72	0,04	0,4
108	@bullionstackers	23	9	11	22,8	0,11	0,36
109	@sunnyjolly	45	17	92	11,71	0,06	0,35
110	@veronicazhu	127	58	100	3,36	0,02	0,34
111	@czechglobalhosts	7	1	31	192,45	0,92	0,34
112	@melaleuca	81	40	100	4,52	0,02	0,32
113	@vi1son	32	5	100	36,4	0,17	0,32
114	@pakyeechan	50	15	100	11,82	0,06	0,31
115	@cryptoemperor	49	15	82	11,59	0,06	0,31
116	@nationalpark	76	37	100	4,8	0,02	0,31
117	@yellowbird	61	27	68	6,27	0,03	0,3
118	@mcw	62	17	65	9,35	0,04	0,28
119	@nuagnorab	58	19	97	8,19	0,04	0,27
120	@connieleung	50	13	100	11,94	0,06	0,27
121	@mark-waser	39	8	40	19,35	0,09	0,27
122	@lawrenceho	12	1	100	145,66	0,69	0,26
123	@angelina6688	145	59	100	2,54	0,01	0,26
124	@mrpointp	23	19	59	7,69	0,04	0,26
125	@interactive	55	15	84	9,48	0,05	0,25
126	@lingfei	34	16	70	8,81	0,04	0,25
127	@ethansteem	14	4	100	34,6	0,16	0,24
128	@kpine	2	1	30	137,24	0,65	0,24
129	@bestmz	41	26	98	5,27	0,03	0,24
130	@mangos	5	4	17	33,04	0,16	0,23
131	@btsabc	41	9	100	14,21	0,07	0,23
132	@timhabc	24	15	100	8,8	0,04	0,23
133	@chinadaily	14	4	100	32,23	0,15	0,23
134	@biuiam	44	13	100	9,58	0,05	0,22
135	@incrediblesnow	16	13	35	8,95	0,04	0,21
136	@lawrenceho84	13	1	93	120,89	0,57	0,21
137	@liangfengyouren	160	43	51	2,7	0,01	0,2
138	@coinbitgold	27	5	98	22,99	0,11	0,2
139	@mxg	42	23	100	5,05	0,02	0,2
140	@yingpingzhang	38	21	100	5,35	0,03	0,2
141	@kevinwong	3	3	23	36,75	0,17	0,19
142	@laodr	12	4	88	26,79	0,13	0,19
143	@dixonloveart	19	14	45	7,7	0,04	0,19
144	@jessicameng	135	71	39	1,41	0,01	0,18
145	@nanzo-scoop	5	1	60	103,53	0,49	0,18
146	@jacklcp	48	14	100	7,48	0,04	0,18
147	@chenhs	154	48	100	1,96	0,01	0,17
148	@done	1	1	100	97,09	0,46	0,17
149	@peaceandlove	2	2	13	45,96	0,22	0,16
150	@wlcpu	74	50	100	1,85	0,01	0,16
151	@wilburm	72	35	100	2,55	0,01	0,16
152	@ausbitbank	10	7	1	11,88	0,06	0,15
153	@luoq	14	8	100	10,54	0,05	0,15
154	@jincheng	34	7	85	12,24	0,06	0,15
155	@qurator	11	9	4	8,57	0,04	0,14
156	@acactus1013	38	20	97	3,97	0,02	0,14
157	@ythehuy	50	31	100	2,53	0,01	0,14
158	@ytienchu	232	92	23	0,85	0	0,14
159	@lymichale	37	25	100	3,22	0,02	0,14
160	@jeffreytong	50	14	100	5,1	0,02	0,13
161	@digital-wisdom	39	8	40	9,16	0,04	0,13
162	@bigbigfish	17	14	100	5,38	0,03	0,13
163	@sandra	39	12	13	6,13	0,03	0,13
164	@jiangchen	83	28	100	2,61	0,01	0,13
165	@mangoanddaddy	147	68	95	1,07	0,01	0,13
166	@jiayanglai	49	38	100	1,84	0,01	0,12
167	@yenlau	2	1	100	65,37	0,31	0,12
168	@damarth	7	3	3	22,97	0,11	0,12
169	@serenawu	19	13	100	4,85	0,02	0,11
170	@shengjian	19	16	61	4,04	0,02	0,11
171	@blacktranquility	33	20	100	3,23	0,02	0,11
172	@feng1925	46	21	100	2,67	0,01	0,1
173	@acidyo	2	2	10	27,99	0,13	0,1
174	@ocd	3	3	42	16,4	0,08	0,09
175	@chaofanjun	25	12	100	4,09	0,02	0,09
176	@gladyslui	54	14	100	3,56	0,02	0,09
177	@exec	14	4	100	12,46	0,06	0,09
178	@bramd	1	1	100	49,06	0,23	0,09
179	@chenlocus	67	11	49	4,48	0,02	0,09
180	@sphenix	24	14	61	3,08	0,01	0,08
181	@jack8831	3	2	72	24,02	0,11	0,08
182	@dailystats	75	23	24	1,88	0,01	0,08
183	@nileelily	184	89	26	0,49	0	0,08
184	@someone	11	4	100	10,69	0,05	0,08
185	@jason	19	12	13	3,69	0,02	0,08
186	@midnightoil	14	4	100	10,97	0,05	0,08
187	@kingscrown	4	1	20	46,15	0,22	0,08
188	@hymle	33	18	100	2,33	0,01	0,07
189	@carobetc	44	13	100	3,22	0,02	0,07
190	@michaelwilshaw	50	12	13	3,19	0,02	0,07
191	@blackbunny	14	3	100	12,48	0,06	0,07
192	@lancy	61	12	98	3,11	0,01	0,07
193	@imosco	1	1	90	40,5	0,19	0,07
194	@jwaser	39	8	40	4,92	0,02	0,07
195	@englishtchrivy	17	6	9	6,61	0,03	0,07
196	@cryptopassion	1	1	19	37,11	0,18	0,07
197	@bcc	1	1	100	32,95	0,16	0,06
198	@cnfund	10	6	100	6,03	0,03	0,06
199	@icedream	37	11	100	3,14	0,01	0,06
200	@larus	47	32	100	1,08	0,01	0,06

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	@upme	21	14	1	240,6	1,14	5,94
2	@buildawhale	7	6	2	135,91	0,65	1,44
3	@appreciator	9	5	1	128,86	0,61	1,14
4	@minnowbooster	3	2	19	93,26	0,44	0,33
5	@postpromoter	3	3	6	58,4	0,28	0,31
6	@minnowsupport	30	11	1	6,14	0,03	0,12
7	@upmyvote	2	2	6	22,34	0,11	0,08
8	@randowhale	6	2	2	18,48	0,09	0,07

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.