TOP 200 effective Steemit curators in CN category for the last week (2019.03.11-2019.03.17)

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	376	1263	4471,899	2,706
2	spanish	525	1221	3049,454	1,845
3	deutsch	231	634	1426,128	0,863
4	india	33	72	1239,194	0,75
5	tr	63	150	760,911	0,46
6	cn	87	322	578,712	0,35
7	ita	54	137	455,668	0,276
8	pakistan	2	6	340,49	0,206
9	fr	42	80	331,018	0,2
10	polish	96	193	329,69	0,199
11	pt	57	171	276,132	0,167
12	japanese	39	108	273,05	0,165

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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87 authors published their posts during this week.

3659 accounts participated in the content curating according to information from the database.

15452 votes were made during this week.

579,52 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	@cnbuddy	132	47	14	16,42	2,83	8,87
2	@rivalhw	46	19	70	35,43	6,11	7,74
3	@steempress-io	37	13	4	44,07	7,6	6,59
4	@justyy	76	31	8	10,59	1,83	3,77
5	@myreader	21	9	17	20,88	3,6	2,16
6	@deanliu	33	7	80	26,54	4,58	2,14
7	@team-cn	59	25	40	6,7	1,16	1,93
8	@oflyhigh	25	3	100	49,92	8,61	1,72
9	@abit	29	13	100	9,46	1,63	1,41
10	@cnstm	48	22	14	5,19	0,9	1,31
11	@partiko	43	19	2	5,98	1,03	1,31
12	@ace108	34	9	19	8,44	1,46	0,87
13	@newhope	13	3	28	20,85	3,6	0,72
14	@lemooljiang	23	9	62	5,87	1,01	0,61
15	@alexis555	18	2	28	26,05	4,5	0,6
16	@helene	24	3	100	16,06	2,77	0,55
17	@rea	21	3	31	13,52	2,33	0,47
18	@xiaohui	24	3	100	13,26	2,29	0,46
19	@steemmonsters	12	5	13	6,63	1,14	0,38
20	@slowwalker	8	2	16	16,12	2,78	0,37
21	@steem-ua	16	11	2	2,95	0,51	0,37
22	@xiguang	29	8	87	3,55	0,61	0,33
23	@julian2013	60	24	32	1,12	0,19	0,31
24	@lanhange	11	5	68	5,34	0,92	0,31
25	@ericet	37	16	99	1,61	0,28	0,3
26	@tumutanzi	9	5	87	4,27	0,74	0,25
27	@htliao	14	8	72	2,41	0,42	0,22
28	@lebin	38	15	4	1,09	0,19	0,19
29	@qukuailianxuexi	79	1	100	16,87	2,91	0,19
30	@ethansteem	25	4	100	3,49	0,6	0,16
31	@bxt	24	4	93	3,57	0,62	0,16
32	@onepagex	37	17	15	0,78	0,13	0,15
33	@xiaoshancun	62	26	100	0,46	0,08	0,14
34	@zhangfapei	79	1	100	11,59	2	0,13
35	@redes	5	2	28	5,47	0,94	0,13
36	@joythewanderer	11	4	40	2,54	0,44	0,12
37	@teamcn-shop	46	25	24	0,41	0,07	0,12
38	@magicmonk	8	3	90	3,33	0,57	0,11
39	@chinadaily	24	3	100	3,22	0,56	0,11
40	@esteemapp	5	3	5	2,88	0,5	0,1
41	@bullionstackers	13	8	19	1,1	0,19	0,1
42	@tvb	26	11	44	0,68	0,12	0,09
43	@mark-waser	20	4	66	2,06	0,36	0,09
44	@shentrading	81	29	21	0,26	0,04	0,09
45	@steempress	37	13	4	0,6	0,1	0,09
46	@ripperone	4	2	28	4,08	0,7	0,09
47	@lalala	24	3	100	2,3	0,4	0,08
48	@thecryptodrive	22	2	21	3,59	0,62	0,08
49	@midnightoil	24	3	100	2,35	0,41	0,08
50	@davidke20	90	32	8	0,23	0,04	0,08
51	@victory622	11	6	89	1,16	0,2	0,08
52	@demotruk	4	1	100	6,34	1,09	0,07
53	@itchyfeetdonica	12	9	80	0,66	0,11	0,07
54	@blackbunny	24	2	100	3,08	0,53	0,07
55	@herpetologyguy	20	4	66	1,5	0,26	0,07
56	@fishlucy	33	18	50	0,33	0,06	0,07
57	@accelerator	49	23	1	0,26	0,04	0,07
58	@yellowbird	34	14	66	0,44	0,08	0,07
59	@skenan	25	10	50	0,5	0,09	0,06
60	@susanli3769	10	4	100	1,37	0,24	0,06
61	@catwomanteresa	23	7	37	0,72	0,12	0,06
62	@jademont	8	4	66	1,41	0,24	0,06
63	@haiyangdeperci	35	21	20	0,22	0,04	0,05
64	@steemitboard	26	17	1	0,27	0,05	0,05
65	@curie	3	2	3	2,29	0,4	0,05
66	@bukio	9	3	2	1,52	0,26	0,05
67	@dapeng	22	7	100	0,63	0,11	0,05
68	@fr3eze	15	6	77	0,71	0,12	0,05
69	@windowglass	27	11	41	0,38	0,07	0,05
70	@sasaadrian	28	18	22	0,24	0,04	0,05
71	@mermaidvampire	20	7	16	0,59	0,1	0,05
72	@wherein	7	4	6	1,12	0,19	0,05
73	@travelgirl	16	6	42	0,76	0,13	0,05
74	@exec	24	3	100	1,4	0,24	0,05
75	@angelina6688	17	12	77	0,31	0,05	0,04
76	@lingfei	24	3	100	1,18	0,2	0,04
77	@aafeng	10	6	76	0,52	0,09	0,04
78	@digital.mine	10	3	26	1,26	0,22	0,04
79	@jackhircus	9	3	75	1,02	0,18	0,04
80	@hkfund	2	2	100	1,74	0,3	0,04
81	@idx	29	13	100	0,23	0,04	0,03
82	@annepink	26	17	80	0,16	0,03	0,03
83	@reseller	12	7	4	0,42	0,07	0,03
84	@reggaemuffin	1	1	30	2,37	0,41	0,03
85	@coder-bts	25	16	69	0,14	0,02	0,03
86	@wilhb81	22	16	14	0,19	0,03	0,03
87	@bring	38	22	100	0,1	0,02	0,03
88	@jiangchen	38	8	100	0,38	0,07	0,03
89	@laodr	8	3	100	0,93	0,16	0,03
90	@dancingapple	28	11	43	0,2	0,03	0,03
91	@tanlikming	16	10	88	0,26	0,04	0,03
92	@kadishakho	12	7	100	0,24	0,04	0,02
93	@xueqiucaijing	79	1	100	1,57	0,27	0,02
94	@winniex	38	12	22	0,12	0,02	0,02
95	@xwzx	79	1	100	1,66	0,29	0,02
96	@chann	54	15	25	0,09	0,02	0,02
97	@slientstorm	16	9	100	0,16	0,03	0,02
98	@pet.society	13	9	16	0,15	0,03	0,02
99	@nanosesame	5	4	81	0,41	0,07	0,02
100	@partiko-promoter	7	7	19	0,24	0,04	0,02
101	@cornerstone	7	1	30	2,06	0,36	0,02
102	@sweetieprincess	12	6	46	0,24	0,04	0,02
103	@cn-malaysia	17	6	46	0,28	0,05	0,02
104	@olsm	2	2	100	0,76	0,13	0,02
105	@livinguktaiwan	6	3	58	0,46	0,08	0,02
106	@kimxinfo	11	5	100	0,32	0,06	0,02
107	@coinbitgold	13	3	95	0,54	0,09	0,02
108	@cnbuddy-cnstm	48	22	14	0,08	0,01	0,02
109	@laoyao	24	3	100	0,7	0,12	0,02
110	@fundurian	9	6	79	0,29	0,05	0,02
111	@rhanna10km	2	2	100	0,88	0,15	0,02
112	@arcange	9	3	9	0,62	0,11	0,02
113	@kongtou	79	1	100	0,79	0,14	0,01
114	@liuzg	29	14	17	0,04	0,01	0,01
115	@kitcat	2	2	100	0,22	0,04	0,01
116	@tydebbie	42	22	44	0,04	0,01	0,01
117	@sleepagent	5	1	48	0,6	0,1	0,01
118	@guyverckw	2	2	60	0,26	0,04	0,01
119	@susanlo	4	3	85	0,2	0,03	0,01
120	@galactic123	2	2	100	0,24	0,04	0,01
121	@englishtchrivy	3	2	22	0,22	0,04	0,01
122	@btshuang	2	2	100	0,58	0,1	0,01
123	@khairulzaman	9	8	100	0,09	0,02	0,01
124	@nicolemoker	2	2	80	0,42	0,07	0,01
125	@pizzapai	11	4	100	0,21	0,04	0,01
126	@tombstone	4	3	1	0,41	0,07	0,01
127	@janicechua	12	4	38	0,12	0,02	0,01
128	@aellly	12	9	39	0,12	0,02	0,01
129	@kevinwong	4	3	1	0,27	0,05	0,01
130	@cn-activity	17	6	100	0,16	0,03	0,01
131	@delabo	13	10	4	0,05	0,01	0,01
132	@mygod	2	2	100	0,56	0,1	0,01
133	@pgshow	36	17	2	0,04	0,01	0,01
134	@minloulou	15	5	78	0,15	0,03	0,01
135	@victorier	5	3	76	0,37	0,06	0,01
136	@steemcryptosicko	5	2	7	0,24	0,04	0,01
137	@bestboom	1	1	100	0,51	0,09	0,01
138	@jianan	77	31	10	0,02	0	0,01
139	@cliffpower	2	2	100	0,48	0,08	0,01
140	@gunthertopp	1	1	100	1,2	0,21	0,01
141	@genych	3	3	100	0,22	0,04	0,01
142	@airbud23	1	1	100	0,88	0,15	0,01
143	@supu	5	5	4	0,1	0,02	0,01
144	@sailingtohappy	2	2	100	0,3	0,05	0,01
145	@paul-gillbanks	3	1	57	0,44	0,08	0,01
146	@jwaser	20	4	66	0,21	0,04	0,01
147	@eforucom	6	6	4	0,12	0,02	0,01
148	@zmx	41	20	33	0,05	0,01	0,01
149	@yvonnetse	6	4	73	0,22	0,04	0,01
150	@edkarnie	14	1	25	0,54	0,09	0,01
151	@warofcraft	7	4	20	0,19	0,03	0,01
152	@auleo	5	4	86	0,12	0,02	0,01
153	@catchawhale	24	3	20	0,43	0,07	0,01
154	@nineteensixteen	6	3	23	0,4	0,07	0,01
155	@devsup	7	5	7	0,14	0,02	0,01
156	@good-karma	5	3	5	0,19	0,03	0,01
157	@weavingwords	14	1	100	0,57	0,1	0,01
158	@jincheng	11	7	89	0,11	0,02	0,01
159	@new-world-steem	6	4	100	0,14	0,02	0,01
160	@bullionstacker	9	4	49	0,14	0,02	0,01
161	@vi1son	7	1	100	0,79	0,14	0,01
162	@raphaelle	9	3	79	0,28	0,05	0,01
163	@dcommerce	2	1	1	0,49	0,08	0,01
164	@abigail-dantes	2	1	20	0,49	0,08	0,01
165	@steemstem	2	1	20	1,17	0,2	0,01
166	@yulan	24	3	100	0,24	0,04	0,01
167	@june0620	6	2	25	0,65	0,11	0,01
168	@somebody	24	3	100	0,24	0,04	0,01
169	@tincho	1	1	100	0,77	0,13	0,01
170	@luna777	2	2	67	0	0	0
171	@athererer	1	1	100	0	0	0
172	@davy73	1	1	100	0	0	0
173	@acaredrer	1	1	100	0	0	0
174	@acliluro	1	1	100	0	0	0
175	@lusitiso	1	1	100	0	0	0
176	@bogdasha	3	2	10	0	0	0
177	@yomist	1	1	100	0	0	0
178	@veddol	1	1	100	0	0	0
179	@edeante	1	1	100	0	0	0
180	@team	1	1	10	0,06	0,01	0
181	@mysterons	2	2	13	0	0	0
182	@equpu	1	1	100	0	0	0
183	@istoute	1	1	100	0	0	0
184	@oxbowworship	1	1	100	0	0	0
185	@gear.nsnow	2	2	38	0	0	0
186	@recentlyimply	1	1	100	0	0	0
187	@sokha	1	1	100	0,01	0	0
188	@reviewme	13	12	10	0,03	0,01	0
189	@relaxrepeat	1	1	100	0	0	0
190	@redradish	2	2	100	0	0	0
191	@feettool	2	2	100	0	0	0
192	@ojulimald	1	1	100	0	0	0
193	@ivanovich	1	1	100	0	0	0
194	@lowreject	1	1	100	0	0	0
195	@orintera	1	1	100	0	0	0
196	@esursange	1	1	100	0	0	0
197	@kylieg0	2	2	100	0	0	0
198	@eddiespino	1	1	20	0,01	0	0
199	@artyr.kalmetov	1	1	100	0	0	0
200	@mrultracheese	2	1	34	0	0	0

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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.pay	28	10	3	11,87	2,05	1,36
2	@steembasicincome	9	6	28	1,98	0,34	0,14
3	@minnowsupport	11	4	3	0,86	0,15	0,04
4	@sbi4	12	12	10	0,22	0,04	0,03
5	@booster	1	1	6	1,89	0,33	0,02
6	@sbi5	8	6	27	0,26	0,04	0,02
7	@sbi3	5	5	30	0,29	0,05	0,02
8	@steem-plus	6	6	5	0,34	0,06	0,02
9	@minnowvotes	2	1	4	1,64	0,28	0,02
10	@sbi6	8	7	21	0,14	0,02	0,01
11	@sbi8	7	5	37	0,14	0,02	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.