TOP 100 effective Steemit сurators that encourage discussion for the 2017.09.22

boddhisattva (79)in #bisteemit • 7 years ago

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

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.

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.

4196 authors published their rewarded comments during this day.

4284 accounts participated in the comments curating according to information from the database.

23557 votes were made during this day.

2690,56 SBD - is the total author rewards for this day.

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 22, 2017

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@surpassinggoogle	201	136	1	145,62	5,41	4,72
2	@good-karma	255	215	0	69,75	2,59	3,57
3	@gentlebot	72	70	100	39,15	1,46	0,65
4	@thing-2	68	65	100	36,74	1,37	0,57
5	@pharesim	97	70	0	27,26	1,01	0,45
6	@timcliff	84	65	11	23,13	0,86	0,36
7	@jaki01	44	41	9	24,28	0,9	0,24
8	@xpilar	61	27	14	24,04	0,89	0,15
9	@broncnutz	58	54	5	11,94	0,44	0,15
10	@jesta	534	60	0	10,68	0,4	0,15
11	@bitcoiner	250	215	1	2,59	0,1	0,13
12	@esteemapp	254	214	1	2,54	0,09	0,13
13	@happymoneyman	50	40	29	12,28	0,46	0,12
14	@greenman	23	15	44	34,3	1,27	0,12
15	@libertyteeth	34	24	44	17,61	0,65	0,1
16	@gamer00	77	35	5	10,88	0,4	0,09
17	@davidorcamuriel	18	9	63	44,03	1,64	0,09
18	@joeblack1	81	22	4	14,78	0,55	0,08
19	@exyle	34	31	3	11,26	0,42	0,08
20	@kus-knee	38	35	5	9,46	0,35	0,08
21	@elyaque	61	52	5	6,3	0,23	0,08
22	@mammasitta	57	49	9	7,13	0,27	0,08
23	@lyndsaybowes	42	29	8	9,41	0,35	0,07
24	@megaspore	16	11	100	24,71	0,92	0,06
25	@extrospect	7	3	86	79,37	2,95	0,06
26	@lordoftruth	33	30	5	8,19	0,3	0,06
27	@creadordelfuturo	48	34	5	6,72	0,25	0,05
28	@adm	341	1	2	226,74	8,43	0,05
29	@simonjones	5	2	100	79,41	2,95	0,04
30	@deanliu	10	9	75	16,64	0,62	0,04
31	@steevc	58	42	7	3,77	0,14	0,04
32	@hebrew	6	6	100	23,62	0,88	0,03
33	@czechglobalhosts	24	18	3	7,93	0,29	0,03
34	@onceuponatime	8	8	9	13,53	0,5	0,03
35	@humanearl	11	8	100	15,15	0,56	0,03
36	@johnsmith	10	4	100	35,26	1,31	0,03
37	@surfyogi	6	5	40	22,14	0,82	0,03
38	@twinner	42	32	1	3,28	0,12	0,03
39	@cm-steem	16	12	74	9,62	0,36	0,03
40	@kaylinart	18	16	14	5,42	0,2	0,02
41	@rivalhw	28	24	16	2,8	0,1	0,02
42	@donkeypong	13	10	2	8,28	0,31	0,02
43	@jwolf	24	20	3	3,63	0,13	0,02
44	@roelandp	3	3	50	22,89	0,85	0,02
45	@teamsteem	12	11	2	9,27	0,34	0,02
46	@enazwahsdarb	37	35	2	2,16	0,08	0,02
47	@storcogato	16	5	58	15,39	0,57	0,02
48	@onealfa	8	8	37	9,8	0,36	0,02
49	@awgbibb	21	17	10	4,92	0,18	0,02
50	@richq11	57	33	10	2,94	0,11	0,02
51	@everittdmickey	32	21	10	3,18	0,12	0,02
52	@reddust	27	25	13	2,82	0,1	0,02
53	@alexpfeiffer	13	8	62	8,03	0,3	0,02
54	@blocktrades	2	2	5	35,08	1,3	0,02
55	@cgame	20	13	37	1,63	0,06	0,01
56	@kafkanarchy84	17	16	11	2,54	0,09	0,01
57	@cryptoeagle	19	15	55	2,18	0,08	0,01
58	@ivoteonheros	16	5	100	6,14	0,23	0,01
59	@tommyhansen	6	4	40	6,5	0,24	0,01
60	@surfermarly	8	8	49	4,77	0,18	0,01
61	@alexbeyman	11	11	20	2,93	0,11	0,01
62	@diskorvery	10	2	80	14,91	0,55	0,01
63	@steemit-life	26	22	15	1,99	0,07	0,01
64	@luzcypher	11	10	100	2,36	0,09	0,01
65	@ura-soul	20	18	35	2,91	0,11	0,01
66	@johnquake	17	13	100	1,73	0,06	0,01
67	@greenjuice	17	17	11	2,36	0,09	0,01
68	@enginewitty	28	22	16	0,96	0,04	0,01
69	@matt-a	12	7	6	8,08	0,3	0,01
70	@holbein81	19	15	21	1,98	0,07	0,01
71	@goldmatters	4	4	100	6,17	0,23	0,01
72	@mattclarke	13	12	35	3,97	0,15	0,01
73	@hilarski	28	24	6	2,54	0,09	0,01
74	@paolobeneforti	26	18	11	1,68	0,06	0,01
75	@everlove	32	17	7	3,34	0,12	0,01
76	@killerwhale	24	20	11	1,06	0,04	0,01
77	@flameburst	7	2	100	11,75	0,44	0,01
78	@williams858	16	9	28	2,84	0,11	0,01
79	@warofcraft	27	24	9	1,99	0,07	0,01
80	@afrog	13	5	100	4,38	0,16	0,01
81	@midnas-howler	19	16	2	3,42	0,13	0,01
82	@beanz	5	5	18	5,41	0,2	0,01
83	@anu	20	18	3	1,35	0,05	0,01
84	@htliao	7	6	2	5,69	0,21	0,01
85	@double-u	21	5	98	10,33	0,38	0,01
86	@papa-pepper	5	5	80	6	0,22	0,01
87	@soundlegion	12	10	49	5,33	0,2	0,01
88	@hydro100	9	8	100	3,34	0,12	0,01
89	@darthnava	14	13	5	1,63	0,06	0,01
90	@bullionstackers	14	10	16	2,58	0,1	0,01
91	@gmuxx	30	27	15	1,34	0,05	0,01
92	@meesterboom	52	25	1	1,15	0,04	0,01
93	@thinkkniht	11	8	44	3,47	0,13	0,01
94	@tuck-fheman	10	10	32	3,06	0,11	0,01
95	@jiahn	51	23	30	1,53	0,06	0,01
96	@tipu	110	47	5	1,31	0,05	0,01
97	@whatsup	47	29	2	1,11	0,04	0,01
98	@louispark	19	16	21	3,81	0,14	0,01
99	@roy2016	29	1	92	29,3	1,09	0,01
100	@quinneaker	16	10	12	2,43	0,09	0,01

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.

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.

#statistics #stats #steemit-stats #steemit