TOP 100 effective Steemit curators in UA category for the last week (2018.10.22-2018.10.28)

in #bisteemit5 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. 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.


23 authors published their posts during this period.

1583 accounts participated in the content curating according to information from the database.

8101 votes were made during this period.

230,25 SBD - is the total author rewards for this period.


TOP-100 effective curators for for the last period.

AccountVotesAuthorsVAS(%)Contr. (SBD)Share %Eff.
1@yanboretskyi157310014,366,241,87
2@steemmonsters2231013,435,831,75
3@gidlark15712152,871,251,5
4@cranium1109513,641,581,42
5@a-bot1617931,5713,711,37
6@gengua15741003,481,510,61
7@teamukraine15841002,991,30,52
8@friendsofgondor431338,413,650,37
9@maks.molotskyy15741001,570,680,27
10@kus-knee53191,970,860,26
11@steemhq247140,770,330,23
12@ratel512501,640,710,14
13@inna-yatsuk237770,390,170,12
14@slowwalker5152,631,140,11
15@ctrl-alt-nwo31212,391,040,1
16@shady168140,30,130,1
17@ir3k194640,50,220,09
18@kristinaljfom1431000,720,310,09
19@vortac6230,770,330,07
20@newhope11171,680,730,07
21@steem-ua7121,620,70,07
22@tarekadam51721,560,680,07
23@steemfunding111001,530,660,07
24@yetaras203100,430,190,06
25@prettysnake9241000,370,160,06
26@crypto-n-custard811001,320,570,06
27@redes11181,110,480,05
28@sidneychildsh133930,340,150,04
29@upekarova9351000,180,080,04
30@promote.helper111000,910,40,04
31@esteemapp11410,430,04
32@ripperone11160,970,420,04
33@steemitboard6610,110,050,03
34@andruto8521000,40,170,03
35@nadin31911000,620,270,03
36@atongis241190,620,270,03
37@andriy-r2311000,580,250,03
38@mandarin2016144650,170,070,03
39@olga.maslievich82490,370,160,03
40@steemyoda11500,710,310,03
41@majes.tytyty13130,40,170,02
42@mmmmkkkk31111120,350,150,02
43@zipporah211000,380,170,02
44@mehta721000,270,120,02
45@techchat1011000,360,160,02
46@kobusu122640,260,110,02
47@ozphil111000,40,170,02
48@allseeingewe211000,40,170,02
49@dshelton32111000,440,190,02
50@happyro19111000,570,250,02
51@team32100,250,110,02
52@hr116300,170,070,02
53@infa15731000,160,070,02
54@neoxian11200,460,20,02
55@taskmaster445043120,430,190,02
56@good-karma1140,390,170,02
57@miti361100,420,180,02
58@rmach111000,20,090,01
59@liliana.duarte111000,220,10,01
60@crypto2crypto11760,130,060,01
61@nfc12210,120,050,01
62@moisesmcardona111000,130,060,01
63@happyphoenix152120,150,070,01
64@barbadossobot111000,120,050,01
65@sbi616150,160,070,01
66@preferansist111000,170,070,01
67@flyingcam411000,120,050,01
68@steem-id111000,170,070,01
69@uadigger102950,130,060,01
70@chronocrypto221000,080,030,01
71@everlove11170,130,060,01
72@stef171720,340,150,01
73@assasin921000,090,040,01
74@johnny-appleseed21700,230,10,01
75@emmycapable221000,060,030,01
76@stephen.king989111000,140,060,01
77@elevator09111000,140,060,01
78@thegoliath211000,140,060,01
79@victorrojas4221000,10,040,01
80@chipdip111000,150,070,01
81@arcange3340,070,030,01
82@steeming-hot481130,020,010,01
83@qurator1140,160,070,01
84@fedesox11420,160,070,01
85@carterx7311000,140,060,01
86@vannour62160,070,030,01
87@swissclive11780,210,090,01
88@ourdailyboard111000,260,110,01
89@adzrobinson111000,220,10,01
90@matajingga92360,070,030,01
91@chetanpadliya51730,190,080,01
92@karja111000,150,070,01
93@vladimgor111000,160,070,01
94@farukcom411000,120,050,01
95@mister-omortson521000,150,070,01
96@synace1011000,270,120,01
97@libertyranger411000,20,090,01
98@steemlite111000,220,10,01
99@grandpawhale11110,310,130,01
100@vandrei.razvan321000,090,040,01

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.

AccountVotesAuthorsVAS(%)Contr. (SBD)Share %Eff.
1@ua-promoter186145814,536,318,84
2@busy.pay29317,693,341
3@inciter1612915,36,640,67
4@thebot1415815,116,560,66
5@brandonfrye1512914,936,480,65
6@minnowvotes32446,042,620,53
7@edensgarden41321,960,850,09
8@emperorofnaps1181,090,470,05
9@dailyupvotes11440,740,320,03
10@minnowsupport3220,260,110,02

If you're interested, I count that these bots distributed more than 33% 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.

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