TOP 160 effective Steemit curators who are actively support newcomers (with reputation below 55) for the 2017.11.12

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 talk about those curators, who are actively support newcomers. All of us know that it's not easy to become visible while you are a minnow even if you have a good content. Therefore, I believe that curators who actively support newcomers deserve a separate consideration and respect.

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.

6364 authors with reputation below 55 published their posts during this day.

16971 accounts participated in curating the content of authors with reputation below 55.

145304 votes were made for the content of authors with reputation below 55 during this day.

5643,25 SBD - is the total author rewards the content of authors with reputation below 55 for this day.

TOP-160 effective curators for November 12, 2017 (24 hours period)

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@good-karma	926	604	1	232,77	4,12	22,09
2	@curie	96	92	2	509,38	9,03	7,36
3	@hendrikdegrote	96	92	2	317,09	5,62	4,58
4	@hr1	100	96	20	290,6	5,15	4,38
5	@pharesim	278	259	0	61,6	1,09	2,51
6	@esteemapp	917	598	1	9,17	0,16	0,86
7	@surpassinggoogle	74	41	4	129,43	2,29	0,83
8	@bitcoiner	772	536	1	8,21	0,15	0,69
9	@busy.org	211	185	1	21,25	0,38	0,62
10	@kevinwong	100	96	1	16,69	0,3	0,25
11	@feruz	925	605	1	2,48	0,04	0,24
12	@anwenbaumeister	96	92	2	16,08	0,28	0,23
13	@originalworks	294	248	1	5,69	0,1	0,22
14	@broncnutz	25	23	47	44,46	0,79	0,16
15	@roelandp	31	31	11	33,62	0,6	0,16
16	@lastminuteman	315	297	0	3,15	0,06	0,15
17	@cervantes	28	28	12	33,59	0,6	0,15
18	@cmtzco	203	149	9	6,02	0,11	0,14
19	@lafona-miner	28	28	6	31,7	0,56	0,14
20	@kushed	98	94	2	9,38	0,17	0,14
21	@cryptohustlin	176	145	10	5,54	0,1	0,13
22	@wackou	35	35	6	19,22	0,34	0,11
23	@promoted	45	35	6	18,13	0,32	0,1
24	@oldstone	26	22	12	28,83	0,51	0,1
25	@triplej	31	30	14	18,65	0,33	0,09
26	@grandpawhale	31	31	7	19,13	0,34	0,09
27	@ausbitbank	19	19	5	25,39	0,45	0,08
28	@midnas-howler	33	33	9	14,79	0,26	0,08
29	@timsaid	33	33	2	15,36	0,27	0,08
30	@qurator	53	53	7	9,51	0,17	0,08
31	@emilhoch	30	22	11	19,21	0,34	0,07
32	@levycore	29	26	15	14,84	0,26	0,06
33	@liberosist	9	9	34	39,05	0,69	0,06
34	@trafalgar	7	7	15	50,36	0,89	0,06
35	@liondani	18	16	100	23,12	0,41	0,06
36	@naijaboost	47	42	30	8,88	0,16	0,06
37	@fuzzyvest	4	4	88	89,58	1,59	0,06
38	@anu	34	34	19	10,37	0,18	0,06
39	@team	43	43	10	7,57	0,13	0,05
40	@canadian-coconut	7	7	19	42,62	0,76	0,05
41	@minnowpondblue	191	145	7	2,26	0,04	0,05
42	@heiditravels	29	29	13	11,54	0,2	0,05
43	@gomeravibz	316	298	1	1,09	0,02	0,05
44	@skan	6	6	50	48,43	0,86	0,05
45	@bayanihan	28	28	30	10,32	0,18	0,05
46	@isteemit	825	578	0	0,44	0,01	0,04
47	@steem-marketing	167	130	3	2,07	0,04	0,04
48	@pgarcgo	27	27	12	9,41	0,17	0,04
49	@stephen.king989	317	299	1	0,95	0,02	0,04
50	@shaka	10	10	32	24,35	0,43	0,04
51	@minnowpondred	165	128	7	2,11	0,04	0,04
52	@tomiscurious	111	104	5	2,22	0,04	0,04
53	@steemprentice	316	297	1	0,61	0,01	0,03
54	@beanz	6	6	100	27,9	0,49	0,03
55	@kiporen212	14	14	100	14,83	0,26	0,03
56	@lichtblick	23	23	11	6,95	0,12	0,03
57	@ering	196	139	10	1,43	0,03	0,03
58	@dmania	9	8	100	26,82	0,48	0,03
59	@lays	6	6	69	34,11	0,6	0,03
60	@appreciator	19	18	18	12,08	0,21	0,03
61	@done	8	6	20	26,98	0,48	0,03
62	@gargon	28	28	12	7,45	0,13	0,03
63	@acidyo	5	5	20	41,95	0,74	0,03
64	@officialfuzzy	7	6	35	33,28	0,59	0,03
65	@aiqabrago	37	33	10	4,17	0,07	0,02
66	@arcange	83	49	4	2,68	0,05	0,02
67	@mustard	7	7	49	15,46	0,27	0,02
68	@nanzo-scoop	13	9	13	12,97	0,23	0,02
69	@enlil	13	13	10	10,92	0,19	0,02
70	@ethandsmith	78	65	2	1,52	0,03	0,02
71	@webdeals	37	34	4	3,75	0,07	0,02
72	@luzcypher	13	13	100	11,7	0,21	0,02
73	@davidding	5	5	55	25,32	0,45	0,02
74	@damarth	7	7	23	19,25	0,34	0,02
75	@resiliencia	25	25	43	3,89	0,07	0,02
76	@enki	28	28	3	5,35	0,09	0,02
77	@albakerki	6	6	92	21,07	0,37	0,02
78	@tincho	29	29	8	5,27	0,09	0,02
79	@polsza	14	12	54	8,83	0,16	0,02
80	@superstar2018	45	44	6	2,49	0,04	0,02
81	@tard	11	11	74	10,58	0,19	0,02
82	@bubbleburst	5	5	42	8,41	0,15	0,01
83	@sndbox	3	2	38	46,42	0,82	0,01
84	@blocktrades	3	3	11	24,02	0,43	0,01
85	@nettybot	20	13	23	4,97	0,09	0,01
86	@carlobelgado	19	19	100	4,11	0,07	0,01
87	@gingerninja	52	52	6	1,12	0,02	0,01
88	@damla	32	25	27	1,63	0,03	0,01
89	@kamikaze	8	8	84	7,2	0,13	0,01
90	@gigolo82	8	8	100	6,64	0,12	0,01
91	@tokenteller	248	232	3	0,18	0	0,01
92	@arama	4	4	64	18,63	0,33	0,01
93	@lovejuice	20	17	18	4,9	0,09	0,01
94	@sostrin	31	26	15	2,05	0,04	0,01
95	@danihwang	13	12	42	2,82	0,05	0,01
96	@thejohalfiles	1	1	100	85,69	1,52	0,01
97	@matt-a	6	4	27	13,97	0,25	0,01
98	@prm	8	8	100	7,13	0,13	0,01
99	@d-pend	19	9	8	6,81	0,12	0,01
100	@mage00000	67	62	100	1,27	0,02	0,01
101	@kelkirie	7	7	100	5,95	0,11	0,01
102	@misterakpan	123	111	6	0,29	0,01	0,01
103	@ramta	7	6	11	12,09	0,21	0,01
104	@steemgigs	99	66	8	1,29	0,02	0,01
105	@mrainp420	178	142	4	0,45	0,01	0,01
106	@driva	180	144	3	0,58	0,01	0,01
107	@torico	52	47	4	1,07	0,02	0,01
108	@stackin	11	7	20	5,88	0,1	0,01
109	@rok-sivante	6	6	84	11,85	0,21	0,01
110	@meerkat	9	9	34	7,13	0,13	0,01
111	@jlufer	19	12	23	2,71	0,05	0,01
112	@razack-pulo	7	7	100	5,38	0,1	0,01
113	@donkeypong	3	3	23	19,23	0,34	0,01
114	@analisa	3	3	23	11,19	0,2	0,01
115	@alchemage	195	154	10	0,37	0,01	0,01
116	@valth	316	297	1	0,11	0	0,01
117	@edgarsart	30	29	52	2,21	0,04	0,01
118	@javybar	14	10	38	6,6	0,12	0,01
119	@jgcastrillo19	28	28	12	2,31	0,04	0,01
120	@glitterbooster	7	7	74	5,7	0,1	0,01
121	@titin	28	28	12	1,26	0,02	0,01
122	@khalilalfamahera	306	256	2	0,17	0	0,01
123	@wartrapa	28	28	12	1,55	0,03	0,01
124	@bcc	8	6	20	9,88	0,18	0,01
125	@allmonitors	46	39	9	1,93	0,03	0,01
126	@staticinstance	7	7	15	4,56	0,08	0,01
127	@eileenbeach	182	142	7	0,65	0,01	0,01
128	@sweetsssj	5	4	9	16,78	0,3	0,01
129	@reggaemuffin	2	2	100	25,76	0,46	0,01
130	@daydayup	71	67	10	0,51	0,01	0,01
131	@michelnilles	73	46	10	0,73	0,01	0,01
132	@kpine	3	1	30	46,81	0,83	0,01
133	@margaretwise	29	27	21	1,25	0,02	0,01
134	@steepshot	22	18	100	4,03	0,07	0,01
135	@vortac	4	4	68	22,81	0,4	0,01
136	@sneak	3	3	100	29,14	0,52	0,01
137	@asmolokalo	6	4	88	11,73	0,21	0,01
138	@idealist	7	7	100	8,45	0,15	0,01
139	@tuckerjtruman	51	44	86	0,87	0,02	0,01
140	@nextgencrypto	2	2	100	23,74	0,42	0,01
141	@peaceandlove	3	3	15	12,66	0,22	0,01
142	@rockz	9	9	91	4,31	0,08	0,01
143	@tarekadam	6	6	79	7,44	0,13	0,01
144	@coffeenut	14	14	28	5,26	0,09	0,01
145	@sqube	85	84	6	0,54	0,01	0,01
146	@libertyteeth	15	7	47	9,6	0,17	0,01
147	@glitterfart	1	1	100	43,59	0,77	0,01
148	@roxane	8	6	39	12,44	0,22	0,01
149	@cryptomancer	4	4	55	8,35	0,15	0,01
150	@sleeplesswhale	17	14	28	4,12	0,07	0,01
151	@steempty	12	12	8	4,66	0,08	0,01
152	@bescouted.com	17	11	40	8,27	0,15	0,01
153	@abit	3	3	40	18,77	0,33	0,01
154	@simba	9	9	100	4,19	0,07	0,01
155	@engagement	2	2	100	24,21	0,43	0,01
156	@teamsteem	7	5	8	15,07	0,27	0,01
157	@steemitguide	21	15	97	2,77	0,05	0,01
158	@s4s	3	3	54	21,92	0,39	0,01
159	@fminerten	12	12	8	4,95	0,09	0,01
160	@steemdrive	9	9	68	9,56	0,17	0,01

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	@buildawhale	80	71	2	316,29	5,6	3,53
2	@minnowsupport	327	308	1	19,89	0,35	0,96
3	@booster	35	32	4	88,25	1,56	0,44
4	@minnowbooster	9	7	19	269,94	4,78	0,3
5	@boomerang	38	33	5	38,84	0,69	0,2
6	@minnowpond	172	141	7	4,4	0,08	0,1
7	@bellyrub	12	12	11	29,68	0,53	0,06
8	@minnowhelper	14	13	21	11,4	0,2	0,02
9	@drotto	202	53	2	2,57	0,05	0,02
10	@msp-creativebot	14	11	7	2,96	0,05	0,01
11	@msp-lovebot	82	27	4	2,32	0,04	0,01
12	@pushup	13	10	10	3,41	0,06	0,01

Now you know all these heroes. Their work attracts new authors in Steemit. These people keep the majority of the newcomers on the platform and give them hope.

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