TOP 100 effective Steemit curators in UA category for the 2018.10.01-2018.10.14

boddhisattva (79)in #bisteemit • 6 years ago (edited)

Once @cranium said in comments to my statistics that it would be great to see statistics on the Ukrainian communities. So I will do it periodically.

There is some margin of error due to the fact that the #ua tag was used not only by this community in September. And this statistic takes into account only posts where the #ua tag is used as a category.

image source

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.

21 authors published their posts during this week.

1541 accounts participated in the content curating according to information from the database.

6310 votes were made during this week.

234,56 SBD - is the total author rewards for this week.

TOP-100 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@yanboretskyi	141	3	100	15,45	6,59	2,21
2	@gidlark	100	11	16	3,07	1,31	1,61
3	@cranium	78	9	40	3,34	1,42	1,43
4	@a-bot	16	1	53	26,19	11,17	1,25
5	@gengua	141	4	100	3,88	1,65	0,74
6	@steemhq	28	8	14	1,24	0,53	0,47
7	@teamukraine	141	3	100	3,17	1,35	0,45
8	@alexis555	3	2	18	4,69	2	0,45
9	@maks.molotskyy	141	4	100	1,79	0,76	0,34
10	@ripperone	4	2	15	3,56	1,52	0,34
11	@friendsofgondor	19	1	33	4,88	2,08	0,23
12	@ocd	1	1	70	4,43	1,89	0,21
13	@redes	4	1	16	4,2	1,79	0,2
14	@infa	141	3	100	1,22	0,52	0,17
15	@inna-yatsuk	25	6	57	0,52	0,22	0,15
16	@newhope	2	1	15	3,03	1,29	0,14
17	@upekarova	57	5	100	0,54	0,23	0,13
18	@politicua	141	3	100	0,88	0,38	0,13
19	@esteemapp	2	1	4	2,44	1,04	0,12
20	@shady	10	6	17	0,37	0,16	0,11
21	@ratel	27	2	50	1,18	0,5	0,11
22	@mangos	3	1	16	1,84	0,78	0,09
23	@yellow8submarine	68	6	30	0,25	0,11	0,07
24	@motoengineer	1	1	97	1,41	0,6	0,07
25	@svitlanka	141	4	100	0,39	0,17	0,07
26	@promote.helper	1	1	100	1,23	0,52	0,06
27	@transcendingman	1	1	100	1,27	0,54	0,06
28	@jcbit	1	1	100	1,12	0,48	0,05
29	@good-karma	2	1	4	0,96	0,41	0,05
30	@sidneychildsh	8	2	100	0,41	0,17	0,04
31	@therealwolf	5	1	7	0,76	0,32	0,04
32	@steem-ua	2	1	2	0,79	0,34	0,04
33	@prettysnake	34	3	100	0,27	0,12	0,04
34	@andruto	32	2	100	0,29	0,12	0,03
35	@olga.maslievich	6	2	46	0,35	0,15	0,03
36	@mandarin2016	17	6	71	0,09	0,04	0,03
37	@slowwalker	1	1	5	0,54	0,23	0,03
38	@happymoneyman	1	1	100	0,54	0,23	0,03
39	@kristinaljfom	5	2	100	0,34	0,14	0,03
40	@yetaras	7	2	11	0,25	0,11	0,02
41	@erikaflynn	3	3	50	0,11	0,05	0,02
42	@grandpawhale	11	1	1	0,37	0,16	0,02
43	@eforucom	5	3	21	0,17	0,07	0,02
44	@techchat	9	1	97	0,36	0,15	0,02
45	@synace	13	1	100	0,44	0,19	0,02
46	@tarekadam	1	1	65	0,39	0,17	0,02
47	@ir3k	13	4	14	0,09	0,04	0,02
48	@sgorenko	28	3	44	0,14	0,06	0,02
49	@ardina	4	1	100	0,41	0,17	0,02
50	@ccoin	10	2	100	0,18	0,08	0,02
51	@kylealex	7	1	100	0,34	0,14	0,02
52	@steem-id	3	1	100	0,32	0,14	0,02
53	@stayoutoftherz	1	1	100	0,33	0,14	0,02
54	@stevelivingston	3	1	100	0,39	0,17	0,02
55	@nadin3	7	1	100	0,36	0,15	0,02
56	@coffeex	4	1	100	0,36	0,15	0,02
57	@dshelton32	2	1	100	0,42	0,18	0,02
58	@abdullar	1	1	10	0,46	0,2	0,02
59	@mehta	4	2	100	0,23	0,1	0,02
60	@sye54	5	1	100	0,13	0,06	0,01
61	@smartmarket	1	1	98	0,12	0,05	0,01
62	@bennettitalia	4	1	100	0,11	0,05	0,01
63	@sozdemir	1	1	100	0,15	0,06	0,01
64	@daveonarrival	4	1	100	0,12	0,05	0,01
65	@majes.tytyty	6	1	3	0,23	0,1	0,01
66	@technomania	3	1	100	0,11	0,05	0,01
67	@antonsteemit	5	1	100	0,12	0,05	0,01
68	@miti	17	1	10	0,28	0,12	0,01
69	@toxichustle	5	1	100	0,15	0,06	0,01
70	@rest100	2	1	100	0,11	0,05	0,01
71	@kobusu	7	2	38	0,12	0,05	0,01
72	@taskmaster4450	19	1	2	0,23	0,1	0,01
73	@sanevys	1	1	100	0,23	0,1	0,01
74	@matajingga	3	1	100	0,11	0,05	0,01
75	@sosmeditations	1	1	100	0,12	0,05	0,01
76	@simonpeter35	2	1	30	0,21	0,09	0,01
77	@freddbrito	7	1	100	0,18	0,08	0,01
78	@dreimaldad	1	1	100	0,14	0,06	0,01
79	@mdsajjad	6	1	100	0,17	0,07	0,01
80	@qberry	1	1	100	0,14	0,06	0,01
81	@skarnoze	2	1	100	0,14	0,06	0,01
82	@ourdailyboard	1	1	100	0,29	0,12	0,01
83	@mister-omortson	4	1	100	0,16	0,07	0,01
84	@mbroek1983	7	1	88	0,19	0,08	0,01
85	@ms10398	6	1	100	0,14	0,06	0,01
86	@anthonydigital1	4	1	100	0,15	0,06	0,01
87	@osmania	2	1	100	0,13	0,06	0,01
88	@jakeybrown	4	1	70	0,15	0,06	0,01
89	@santana33	1	1	100	0,16	0,07	0,01
90	@samirich	16	1	50	0,15	0,06	0,01
91	@adelepazani	1	1	100	0,11	0,05	0,01
92	@hakguan	7	1	100	0,16	0,07	0,01
93	@jona12	11	1	100	0,28	0,12	0,01
94	@jmotip	4	1	100	0,12	0,05	0,01
95	@rynergy	1	1	100	0,22	0,09	0,01
96	@docsweettooth	3	1	100	0,14	0,06	0,01
97	@foodpadma	2	2	100	0,08	0,03	0,01
98	@rehanji50	3	1	100	0,11	0,05	0,01
99	@nathankaye	8	1	100	0,22	0,09	0,01
100	@repollo	1	1	100	0,3	0,13	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	@ua-promoter	149	12	60	14,46	6,16	8,26
2	@minnowvotes	15	2	14	13,09	5,58	1,25
3	@busy.pay	23	2	1	7,54	3,21	0,72
4	@thebot	15	1	33	14,66	6,25	0,7
5	@inciter	16	1	22	14,3	6,1	0,68
6	@brandonfrye	10	1	18	8,36	3,56	0,4
7	@booster	2	1	3	2,55	1,09	0,12
8	@brupvoter	1	1	31	1,61	0,69	0,08
9	@sneaky-ninja	1	1	7	1,31	0,56	0,06
10	@minnowsupport	6	1	2	0,64	0,27	0,03
11	@edensgarden	1	1	13	0,25	0,11	0,01

If you're interested, I count that these bots distributed more than 34% of the rewards in this community.

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.

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.

#ua #steemit-stats #steemit #busy