TOP 100 effective Steemit сurators that encourage discussion for the 2017.09.23

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

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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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.

But this time we will review those curators who reward the discussions, that is, they vote for the comments of other users.

According to the ideology of the Steemit creators, the discussion is as valuable an element as the author's content. Confirmation of this is the allocation of a separate pool of awards for comments.

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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 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 rewarded comments 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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3830 authors published their rewarded comments during this day.

3872 accounts participated in the comments curating according to information from the database.

23438 votes were made during this day.

2029,2 SBD - is the total author rewards for this day.

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Given the number of curators supporting the comments and influencing their reward, I decided to reduce the number of curators in this toplist.

TOP-100 effective comments curators for September 23, 2017

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@good-karma	435	315	0	113,87	5,61	9,37
2	@surpassinggoogle	169	118	1	108,34	5,34	3,34
3	@thing-2	75	68	100	40,35	1,99	0,72
4	@gentlebot	69	64	100	37,3	1,84	0,62
5	@pharesim	106	72	0	28,64	1,41	0,54
6	@goldmatters	39	34	100	40,98	2,02	0,36
7	@esteemapp	431	312	1	4,31	0,21	0,35
8	@bitcoiner	368	281	1	3,68	0,18	0,27
9	@jesta	847	61	0	16,94	0,83	0,27
10	@joeblack1	95	24	5	21,7	1,07	0,14
11	@exyle	42	37	4	14,76	0,73	0,14
12	@mammasitta	44	30	29	13,5	0,67	0,11
13	@elyaque	79	52	4	6,31	0,31	0,09
14	@acidyo	14	9	5	35,9	1,77	0,08
15	@virtualgrowth	40	32	41	8,2	0,4	0,07
16	@czechglobalhosts	26	24	3	10,56	0,52	0,07
17	@timcliff	37	27	9	8,42	0,41	0,06
18	@deanliu	14	12	53	14,4	0,71	0,05
19	@lordoftruth	31	28	4	6,59	0,32	0,05
20	@creadordelfuturo	47	30	5	6,01	0,3	0,05
21	@alexbeyman	24	15	47	13,98	0,69	0,05
22	@adm	289	1	2	137,2	6,76	0,04
23	@streetstyle	22	19	12	7,96	0,39	0,04
24	@greenman	18	14	16	10,98	0,54	0,04
25	@megaspore	9	8	100	12,31	0,61	0,03
26	@steevc	56	43	6	2,7	0,13	0,03
27	@rebeccaryan	20	20	22	4,87	0,24	0,03
28	@knircky	11	11	19	9,86	0,49	0,03
29	@tumutanzi	12	10	2	10,15	0,5	0,03
30	@tipu	124	49	8	2,04	0,1	0,03
31	@lichtblick	46	38	2	1,94	0,1	0,02
32	@simonjones	4	1	100	61,27	3,02	0,02
33	@guyverckw	52	25	20	2,69	0,13	0,02
34	@jwolf	24	15	4	5,76	0,28	0,02
35	@craig-grant	3	2	100	44,77	2,21	0,02
36	@steemprentice	27	24	41	3,35	0,17	0,02
37	@v4vapid	12	9	2	7,98	0,39	0,02
38	@pfunk	8	5	13	14,35	0,71	0,02
39	@richq11	43	31	10	2,15	0,11	0,02
40	@thedamus	35	20	42	3,02	0,15	0,02
41	@cynetyc	23	9	100	6,86	0,34	0,02
42	@gamer00	32	16	4	4	0,2	0,02
43	@inventor16	19	17	50	4,46	0,22	0,02
44	@storcogato	12	7	48	8,89	0,44	0,02
45	@broncnutz	17	11	8	5,45	0,27	0,02
46	@whatsup	30	22	6	1,79	0,09	0,01
47	@steempower	5	2	51	22,18	1,09	0,01
48	@g-dubs	23	14	17	1,54	0,08	0,01
49	@twinner	29	21	1	2,41	0,12	0,01
50	@steemchiller	18	12	91	3,45	0,17	0,01
51	@louispark	11	11	22	2,19	0,11	0,01
52	@cryptopie	25	25	98	0,97	0,05	0,01
53	@gringalicious	7	6	14	3,63	0,18	0,01
54	@spinbunny	4	3	76	12,97	0,64	0,01
55	@abh12345	54	39	8	0,77	0,04	0,01
56	@holbein81	40	25	8	1,34	0,07	0,01
57	@shortcut	14	11	18	1,96	0,1	0,01
58	@jiahn	44	23	30	1,18	0,06	0,01
59	@nanzo-scoop	5	3	27	16,27	0,8	0,01
60	@maxbullion	15	12	36	1,94	0,1	0,01
61	@craftech	6	4	67	8	0,39	0,01
62	@lukestokes	10	10	6	4,89	0,24	0,01
63	@kus-knee	5	4	31	6,99	0,34	0,01
64	@rivalhw	27	22	17	2,57	0,13	0,01
65	@stackin	29	28	1	1,44	0,07	0,01
66	@surfermarly	7	7	47	3,56	0,18	0,01
67	@oaldamster	8	7	100	3,5	0,17	0,01
68	@double-u	13	6	99	5,68	0,28	0,01
69	@otisbrown	3	3	25	8,14	0,4	0,01
70	@steemit-life	15	15	20	1,44	0,07	0,01
71	@greatpath	11	11	5	2,99	0,15	0,01
72	@kevbot	30	23	37	1,31	0,06	0,01
73	@raybrockman	18	12	18	4,78	0,24	0,01
74	@diskorvery	11	2	85	16,18	0,8	0,01
75	@denmarkguy	15	14	31	3,46	0,17	0,01
76	@blocktrades	1	1	10	35,43	1,75	0,01
77	@alao	16	13	67	3,59	0,18	0,01
78	@mattclarke	14	12	25	3,04	0,15	0,01
79	@rynow	28	22	5	1,12	0,06	0,01
80	@meesterboom	54	25	1	1,16	0,06	0,01
81	@etcmike	29	3	10	8,17	0,4	0,01
82	@qasimwaqar	49	3	100	7,95	0,39	0,01
83	@lyndsaybowes	16	13	6	2,66	0,13	0,01
84	@darthnava	14	14	5	1,43	0,07	0,01
85	@floridasnail	19	18	12	2,31	0,11	0,01
86	@xpilar	21	7	11	5,85	0,29	0,01
87	@geronimo	9	3	71	6,78	0,33	0,01
88	@sebastianjago	10	10	24	3,32	0,16	0,01
89	@pal	9	4	11	5,45	0,27	0,01
90	@cognoscere	20	12	5	2,07	0,1	0,01
91	@stevescoins	30	13	3	1,7	0,08	0,01
92	@jarendesta	17	12	53	1,86	0,09	0,01
93	@overkillcoin	36	24	10	2,13	0,1	0,01
94	@future24	33	23	27	1,04	0,05	0,01
95	@reddust	16	16	16	1,83	0,09	0,01
96	@papa-pepper	4	4	100	5,94	0,29	0,01
97	@chance777	16	7	34	2,81	0,14	0,01
98	@alevale1010	1	1	100	0,01	0	0
99	@joklahoma	3	1	13	0,03	0	0
100	@lighttheworld	1	1	100	0	0	0

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Now you know all these heroes. Their daily work increases the interest in the discussion, gives hope to some authors, and some even a decent income. Their work attracts new authors in Steemit and makes existing users remain.

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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.