TOP 180 effective Steemit curators in CN category for the last week (2019.03.04-2019.03.10)

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

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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 CN category took one of 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.

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	349	1228	4030,377	2,631
2	spanish	479	984	1985,294	1,296
3	deutsch	220	627	1295,848	0,846
4	tr	57	143	716,327	0,468
5	india	37	71	684,117	0,447
6	cn	88	271	564,059	0,368
7	polish	78	204	323,105	0,211
8	ita	61	128	303,173	0,198
9	pt	54	163	257,973	0,168

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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88 authors published their posts during this week.

2542 accounts participated in the content curating according to information from the database.

13284 votes were made during this week.

564,06 SBD - is the total author rewards for this week.

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TOP-180 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@cnbuddy	131	46	15	15,8	2,8	8,26
2	@rivalhw	33	17	74	28,02	4,97	5,41
3	@myreader	29	11	26	37,02	6,56	4,63
4	@steempress-io	32	11	4	35,33	6,26	4,42
5	@justyy	90	31	7	9,31	1,65	3,28
6	@abit	44	16	100	10,95	1,94	1,99
7	@team-cn	57	20	45	6,59	1,17	1,5
8	@cnstm	47	20	16	5,62	1	1,28
9	@deanliu	21	8	66	12,77	2,26	1,16
10	@partiko	38	19	2	4,5	0,8	0,97
11	@ace108	36	7	17	7,43	1,32	0,59
12	@lemooljiang	26	9	53	5,38	0,95	0,55
13	@oflyhigh	11	2	95	20,39	3,61	0,46
14	@steem-ua	20	9	2	3,32	0,59	0,34
15	@steemmonsters	11	5	13	6,03	1,07	0,34
16	@tumutanzi	11	8	66	3,72	0,66	0,34
17	@julian2013	64	18	30	0,98	0,17	0,2
18	@alexis555	6	2	28	8,34	1,48	0,19
19	@rea	14	2	25	8,01	1,42	0,18
20	@htliao	18	6	67	2,63	0,47	0,18
21	@reggaemuffin	2	1	100	13,78	2,44	0,16
22	@ericet	37	13	94	1,11	0,2	0,16
23	@helene	10	2	100	6,49	1,15	0,15
24	@lebin	38	13	4	0,98	0,17	0,14
25	@bullionstackers	18	9	16	1,28	0,23	0,13
26	@onepagex	32	11	18	1,03	0,18	0,13
27	@jaydih	2	2	100	5,67	1,01	0,13
28	@dclick	2	2	76	5,93	1,05	0,13
29	@newhope	7	1	28	11,35	2,01	0,13
30	@angelina6688	30	11	61	0,97	0,17	0,12
31	@xiaohui	10	2	100	5,33	0,94	0,12
32	@magicmonk	12	2	78	4,07	0,72	0,09
33	@demotruk	7	1	100	7,79	1,38	0,09
34	@ethansteem	13	4	100	1,76	0,31	0,08
35	@jademont	10	3	100	2,36	0,42	0,08
36	@kr-coffeesteem	2	2	100	3,51	0,62	0,08
37	@thecryptodrive	22	2	19	3,38	0,6	0,08
38	@davidke20	80	28	12	0,23	0,04	0,07
39	@yellowbird	37	14	75	0,46	0,08	0,07
40	@slowwalker	3	1	17	5,98	1,06	0,07
41	@lanhange	7	2	73	3,29	0,58	0,07
42	@laodr	9	6	92	0,91	0,16	0,06
43	@steempress	32	11	4	0,51	0,09	0,06
44	@xiguang	20	2	100	2,55	0,45	0,06
45	@ripperone	3	2	24	2,54	0,45	0,06
46	@cn-malaysia	26	10	55	0,5	0,09	0,06
47	@gunthertopp	2	2	100	2,3	0,41	0,05
48	@idx	44	16	100	0,25	0,04	0,05
49	@esteemapp	4	2	5	2,24	0,4	0,05
50	@fishlucy	30	12	57	0,34	0,06	0,05
51	@blockops	2	2	100	1,6	0,28	0,04
52	@june0620	6	3	66	1,08	0,19	0,04
53	@bxt	8	3	92	1,1	0,2	0,04
54	@pizzapai	20	9	100	0,36	0,06	0,04
55	@windowglass	16	6	27	0,54	0,1	0,04
56	@redes	2	2	26	1,86	0,33	0,04
57	@rhanna10km	4	2	100	1,65	0,29	0,04
58	@candyboy	1	1	100	3,19	0,57	0,04
59	@ketibuzz	2	2	100	1,18	0,21	0,03
60	@teamcn-shop	31	17	22	0,17	0,03	0,03
61	@nineteensixteen	27	16	3	0,19	0,03	0,03
62	@tvb	21	5	45	0,49	0,09	0,03
63	@jackhircus	8	3	75	0,83	0,15	0,03
64	@steemitboard	16	15	1	0,17	0,03	0,03
65	@sj-jeong	1	1	100	2,52	0,45	0,03
66	@dapeng	18	6	100	0,43	0,08	0,03
67	@chinadaily	10	2	100	1,35	0,24	0,03
68	@skenan	17	7	53	0,36	0,06	0,03
69	@fr3eze	14	5	70	0,59	0,1	0,03
70	@joythewanderer	5	3	34	0,91	0,16	0,03
71	@malekalmsaddi	3	3	100	0,78	0,14	0,03
72	@bdvoter	1	1	100	2,72	0,48	0,03
73	@tanlikming	17	14	72	0,18	0,03	0,03
74	@accelerator	38	21	1	0,13	0,02	0,03
75	@catwomanteresa	20	6	30	0,44	0,08	0,03
76	@cnbuddy-cnstm	47	20	16	0,1	0,02	0,02
77	@travelgirl	10	4	34	0,35	0,06	0,02
78	@abusereports	1	1	100	1,63	0,29	0,02
79	@crypto-report	28	1	90	1,56	0,28	0,02
80	@chbartist	1	1	100	2,19	0,39	0,02
81	@bue	1	1	100	1,92	0,34	0,02
82	@vi1son	7	2	100	0,87	0,15	0,02
83	@dineroconopcion	1	1	100	1,44	0,26	0,02
84	@justtryme90	1	1	100	1,98	0,35	0,02
85	@nextgen622	2	1	100	1,73	0,31	0,02
86	@unique.esprit	1	1	100	1,47	0,26	0,02
87	@investegg	3	2	100	0,86	0,15	0,02
88	@wilhb81	15	11	19	0,15	0,03	0,02
89	@cryptomancer	3	2	100	1,08	0,19	0,02
90	@mark-waser	7	2	89	0,97	0,17	0,02
91	@mangos	2	2	20	0,91	0,16	0,02
92	@kadishakho	11	7	100	0,21	0,04	0,02
93	@midnightoil	10	2	100	0,95	0,17	0,02
94	@arcange	9	3	10	0,59	0,1	0,02
95	@lalala	10	2	100	0,98	0,17	0,02
96	@susanli3769	6	2	100	0,75	0,13	0,02
97	@scripsio	2	1	59	1,68	0,3	0,02
98	@itchyfeetdonica	11	5	71	0,44	0,08	0,02
99	@bobdos	14	4	61	0,34	0,06	0,02
100	@wherein	7	4	3	0,42	0,07	0,02
101	@fundurian	8	5	85	0,3	0,05	0,02
102	@herpetologyguy	7	2	89	0,72	0,13	0,02
103	@aafeng	8	5	81	0,38	0,07	0,02
104	@followbtcnews	1	1	100	0,68	0,12	0,01
105	@upyourpost	1	1	68	0,48	0,09	0,01
106	@kaylinart	2	2	100	0,34	0,06	0,01
107	@jiangchen	30	4	100	0,3	0,05	0,01
108	@exec	10	2	100	0,58	0,1	0,01
109	@kostronor	1	1	100	0,57	0,1	0,01
110	@pi50000	1	1	100	1,1	0,2	0,01
111	@ash	1	1	100	0,45	0,08	0,01
112	@xiaoshancun	78	25	100	0,02	0	0,01
113	@blackbunny	10	1	100	1,23	0,22	0,01
114	@lingfei	10	2	100	0,48	0,09	0,01
115	@laoyao	10	2	100	0,28	0,05	0,01
116	@nasgu	2	1	100	0,45	0,08	0,01
117	@olsm	2	1	100	0,69	0,12	0,01
118	@warofcraft	6	5	20	0,13	0,02	0,01
119	@ediya	1	1	100	0,49	0,09	0,01
120	@neoxian	1	1	23	0,5	0,09	0,01
121	@joele	1	1	100	0,57	0,1	0,01
122	@cheftony	1	1	100	0,5	0,09	0,01
123	@gan.bot	8	3	100	0,32	0,06	0,01
124	@pet.society	12	6	16	0,11	0,02	0,01
125	@motochan	2	1	100	1,32	0,23	0,01
126	@anotherjoe	2	1	59	0,81	0,14	0,01
127	@raphaelle	9	3	80	0,27	0,05	0,01
128	@partiko-promoter	4	4	21	0,16	0,03	0,01
129	@ninjapiraterobot	4	2	100	0,62	0,11	0,01
130	@ssin	1	1	72	1,14	0,2	0,01
131	@bring	14	8	100	0,1	0,02	0,01
132	@victory622	3	2	84	0,3	0,05	0,01
133	@supu	7	6	3	0,1	0,02	0,01
134	@ctyptouniverse	2	1	100	0,57	0,1	0,01
135	@dong262514	3	2	89	0,41	0,07	0,01
136	@sailingtohappy	2	2	100	0,35	0,06	0,01
137	@kamikaze	2	2	100	0,44	0,08	0,01
138	@sbi-booster	6	5	25	0,11	0,02	0,01
139	@curie	2	2	1	0,5	0,09	0,01
140	@kevinwong	3	3	3	0,4	0,07	0,01
141	@tombstone	3	3	1	0,24	0,04	0,01
142	@phlatattak	1	1	100	1,21	0,21	0,01
143	@steeminator3000	2	2	100	0,24	0,04	0,01
144	@leeyh	1	1	100	0,8	0,14	0,01
145	@robertking	3	1	100	0,62	0,11	0,01
146	@warjar	2	1	100	0,49	0,09	0,01
147	@world-travel-pro	7	1	36	0,47	0,08	0,01
148	@cannonwar	2	1	100	0,82	0,15	0,01
149	@akoano	2	2	100	0,3	0,05	0,01
150	@dcommerce	6	1	1	1,23	0,22	0,01
151	@smartmarket	1	1	15	1,08	0,19	0,01
152	@genych	5	2	100	0,37	0,07	0,01
153	@annepink	20	10	84	0,09	0,02	0,01
154	@steemsportsfund	3	2	100	0,26	0,05	0,01
155	@alishannoor	1	1	100	0,49	0,09	0,01
156	@cotarelo	3	2	100	0,35	0,06	0,01
157	@mermaidvampire	15	3	7	0,16	0,03	0,01
158	@bistonic	1	1	100	0,94	0,17	0,01
159	@coder-bts	19	11	69	0,08	0,01	0,01
160	@galactic123	5	2	100	0,58	0,1	0,01
161	@airbud23	1	1	100	0,86	0,15	0,01
162	@bpclan	1	1	100	0,89	0,16	0,01
163	@tina3721	49	11	29	0,05	0,01	0,01
164	@a-bot	1	1	55	1,28	0,23	0,01
165	@dancingapple	29	9	32	0,13	0,02	0,01
166	@minloulou	11	7	71	0,09	0,02	0,01
167	@smartmonsters	4	2	26	0,29	0,05	0,01
168	@abcallen	16	9	75	0,12	0,02	0,01
169	@btshuang	2	2	100	0,55	0,1	0,01
170	@investmentreport	28	1	90	1,08	0,19	0,01
171	@tincho	1	1	100	0,75	0,13	0,01
172	@tydebbie	16	4	94	0,13	0,02	0,01
173	@digital.mine	8	1	23	0,81	0,14	0,01
174	@winniex	34	8	16	0,08	0,01	0,01
175	@reseller	11	5	2	0,2	0,04	0,01
176	@block-power	5	2	36	0,34	0,06	0,01
177	@sleepagent	6	1	43	0,61	0,11	0,01
178	@leesongyi	28	1	30	1,24	0,22	0,01
179	@hkfund	1	1	71	0,6	0,11	0,01
180	@liuzg	28	11	22	0,05	0,01	0,01

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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	@merlin7	34	25	9	5,12	0,91	1,45
2	@busy.pay	22	7	2	6,88	1,22	0,55
3	@minnowbooster	3	3	32	8,59	1,52	0,29
4	@ocdb	2	1	11	23,45	4,16	0,27
5	@upmewhale	1	1	37	16,04	2,84	0,18
6	@appreciator	1	1	13	6,92	1,23	0,08
7	@booster	1	1	22	6,19	1,1	0,07
8	@smartsteem	1	1	6	5,72	1,01	0,06
9	@minnowsupport	14	7	2	0,7	0,12	0,06
10	@promobot	1	1	38	4,14	0,73	0,05
11	@minnowvotes	3	2	3	1,98	0,35	0,04
12	@postpromoter	1	1	16	3,46	0,61	0,04
13	@therising	1	1	4	3,32	0,59	0,04
14	@upmyvote	1	1	27	2,45	0,43	0,03
15	@steembasicincome	4	2	48	1,37	0,24	0,03
16	@brupvoter	1	1	65	1,68	0,3	0,02
17	@inciter	1	1	28	1,57	0,28	0,02
18	@sbi8	12	7	54	0,29	0,05	0,02
19	@brandonfrye	1	1	47	1,24	0,22	0,01
20	@emrebeyler	1	1	100	0,46	0,08	0,01
21	@sbi5	5	3	29	0,15	0,03	0,01
22	@sbi3	7	6	10	0,12	0,02	0,01
23	@sbi6	7	5	31	0,18	0,03	0,01

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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.