TOP 135 effective Steemit curators in Polish category for the last week (2018.07.02-2018.07.08)

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

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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Once I have published a post where I made a researsh what categories are most profitable on Steemit.

This time I even made a last week rating of the national and language communities included in the TOP-50 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	kr	941	3349	11575	2,474
2	spanish	1548	3058	5103	1,091
3	deutsch	305	908	3236	0,692
4	cn	186	581	2432	0,52
5	tr	234	663	2319	0,496
6	japanese	128	369	1832	0,392
7	ita	104	291	1380	0,295
8	india	91	164	1287	0,275
9	polish	171	380	1084	0,232
10	indonesia	349	801	919	0,197
11	pt	93	272	879	0,188
12	fr	72	185	835	0,178

You can find an actual information about TOP 100 categories rewards in this post

You can see here that Polish category took one of the largest part of the reward pool on that week. Looks like Polish community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in Polish category.

The category is a first tag in the post

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.

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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 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.

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169 authors published their posts during this week.

1837 accounts participated in the content curating according to information from the database.

9976 votes were made during this week.

978,76 SBD - is the total author rewards for this week.

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TOP-135 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@noisy	112	67	27	146,16	14,93	57,95
2	@gtg	39	26	40	161,15	16,46	24,79
3	@mmmmkkkk311	36	21	61	109,8	11,22	13,64
4	@michalx2008x	109	47	14	27,13	2,77	7,55
5	@sisters	67	41	71	27,51	2,81	6,67
6	@nero12	127	58	40	16,01	1,64	5,49
7	@planter	23	19	30	37,62	3,84	4,23
8	@hr1	92	61	0	9,88	1,01	3,57
9	@dtube	4	3	30	175,52	17,93	3,12
10	@diosbot	132	60	41	8,43	0,86	2,99
11	@bowess	80	49	64	10,21	1,04	2,96
12	@fervi	143	75	35	5,46	0,56	2,42
13	@lukmarcus	95	49	33	7,19	0,73	2,08
14	@astromaniak	179	81	27	2,6	0,27	1,25
15	@andzi76	115	50	49	3,83	0,39	1,13
16	@monika-homa	16	10	50	15,34	1,57	0,91
17	@hallmann	55	38	69	3,46	0,35	0,78
18	@kapitanpolak	74	39	100	2,85	0,29	0,66
19	@grecki-bazar-ewy	73	42	75	2,18	0,22	0,54
20	@kryptojanusz	57	38	99	2,21	0,23	0,5
21	@anna.urbanska	57	34	100	2,2	0,22	0,44
22	@rafalski	52	35	72	1,92	0,2	0,4
23	@albakerki	7	5	74	12,9	1,32	0,38
24	@cezarys	47	23	100	2,79	0,29	0,38
25	@aniafx1	50	36	77	1,74	0,18	0,37
26	@beleg	47	31	100	1,67	0,17	0,31
27	@annaburska	51	30	76	1,45	0,15	0,26
28	@lesiopm	57	24	83	1,76	0,18	0,25
29	@wadera	69	41	100	0,97	0,1	0,24
30	@jacekw	43	30	100	1,24	0,13	0,22
31	@assayer	39	24	100	1,56	0,16	0,22
32	@saunter	27	20	99	1,65	0,17	0,2
33	@mys	133	66	3	0,52	0,05	0,2
34	@firesteem	80	50	32	0,66	0,07	0,2
35	@bue	28	22	100	1,51	0,15	0,2
36	@dominik.homa	7	3	86	11,06	1,13	0,2
37	@santarius	41	27	72	1,18	0,12	0,19
38	@arabson1990	53	40	100	0,75	0,08	0,18
39	@nicniezgrublem	35	23	73	1,34	0,14	0,18
40	@grzyb77	84	30	55	0,84	0,09	0,15
41	@bocik	48	20	100	1,2	0,12	0,14
42	@sarmaticus	52	34	80	0,63	0,06	0,13
43	@kusior	41	23	97	0,94	0,1	0,13
44	@katayah	25	12	100	1,86	0,19	0,13
45	@jozef230	46	32	76	0,65	0,07	0,12
46	@glodniwiedzy	35	23	73	0,86	0,09	0,12
47	@shogunma	55	34	100	0,55	0,06	0,11
48	@alcik	48	24	100	0,8	0,08	0,11
49	@naila7894	27	16	96	1,04	0,11	0,1
50	@jamzed	20	13	100	1,21	0,12	0,09
51	@marcon	44	22	100	0,69	0,07	0,09
52	@jakipatryk	15	10	93	1,53	0,16	0,09
53	@zdrowie	31	21	100	0,67	0,07	0,08
54	@barcisz	19	15	41	0,89	0,09	0,08
55	@fundacja	29	19	100	0,7	0,07	0,08
56	@pignys	44	22	100	0,62	0,06	0,08
57	@barbarossastudio	35	23	73	0,55	0,06	0,07
58	@zwora	46	27	100	0,45	0,05	0,07
59	@ocisly	36	23	74	0,49	0,05	0,07
60	@veggie-sloth	30	23	84	0,52	0,05	0,07
61	@ezzy	5	1	49	9,45	0,97	0,06
62	@wolontariusz	59	28	100	0,34	0,03	0,06
63	@kurator-polski	13	9	82	1,07	0,11	0,06
64	@pkocjan	47	28	96	0,39	0,04	0,06
65	@aditor	43	26	78	0,34	0,03	0,05
66	@fractalnode	10	2	27	3,97	0,41	0,05
67	@steelman	37	17	86	0,51	0,05	0,05
68	@technocracy	35	23	73	0,26	0,03	0,04
69	@anka	30	22	100	0,31	0,03	0,04
70	@breadcentric	18	13	100	0,56	0,06	0,04
71	@karlosbadz	33	20	100	0,33	0,03	0,04
72	@rolsonpatison	34	24	100	0,27	0,03	0,04
73	@saladyn276	30	22	100	0,25	0,03	0,03
74	@thedragonnis	30	19	100	0,3	0,03	0,03
75	@jasiu	31	18	100	0,28	0,03	0,03
76	@kaylinart	2	2	66	2,61	0,27	0,03
77	@oldtimer	3	1	37	5,36	0,55	0,03
78	@kubak	30	16	100	0,3	0,03	0,03
79	@piotr-galas	26	18	100	0,26	0,03	0,03
80	@rozku	49	36	100	0,14	0,01	0,03
81	@rozioo	20	11	57	0,45	0,05	0,03
82	@reinmar	26	15	100	0,38	0,04	0,03
83	@kamilkowalski	22	20	100	0,22	0,02	0,03
84	@spacesheep	28	21	100	0,27	0,03	0,03
85	@fraktale	15	12	100	0,44	0,04	0,03
86	@bartheek	46	21	100	0,17	0,02	0,02
87	@imperfect-one	9	3	100	0,9	0,09	0,02
88	@blockops	1	1	100	3,75	0,38	0,02
89	@d-pend	1	1	55	3,17	0,32	0,02
90	@markoslaw	20	13	100	0,29	0,03	0,02
91	@lokibalboa	33	19	100	0,16	0,02	0,02
92	@maarnio	5	1	100	2,66	0,27	0,02
93	@nainaztengra	5	1	100	3,56	0,36	0,02
94	@maryfavour	2	2	95	1,28	0,13	0,02
95	@steempower	1	1	100	3,31	0,34	0,02
96	@dutmistrz	21	14	100	0,21	0,02	0,02
97	@always1success	5	1	100	2,3	0,23	0,01
98	@dsocer	2	2	87	0,53	0,05	0,01
99	@chorock	4	1	41	1,14	0,12	0,01
100	@ciapo	12	8	100	0,12	0,01	0,01
101	@jvb71	2	2	100	0,86	0,09	0,01
102	@czcibor360	26	19	87	0,07	0,01	0,01
103	@bithubpl	9	5	100	0,29	0,03	0,01
104	@newhope	1	1	12	2,33	0,24	0,01
105	@bargolis	10	4	78	0,23	0,02	0,01
106	@drago18121996	5	1	100	1,07	0,11	0,01
107	@airbud23	1	1	52	1,31	0,13	0,01
108	@pdj85coexist	10	10	100	0,1	0,01	0,01
109	@razack-pulo	4	1	100	1,55	0,16	0,01
110	@phortun	4	1	100	0,98	0,1	0,01
111	@trevonjb	1	1	20	1,66	0,17	0,01
112	@foodini	16	14	100	0,16	0,02	0,01
113	@gomeravibz	2	2	100	0,68	0,07	0,01
114	@alexis555	1	1	14	1,96	0,2	0,01
115	@someonewhoisme	1	1	100	1,12	0,11	0,01
116	@francisk	4	1	100	2,19	0,22	0,01
117	@onufry	11	11	100	0,11	0,01	0,01
118	@dailydogger	11	6	100	0,34	0,03	0,01
119	@dine77	5	1	100	1,55	0,16	0,01
120	@pibyk	13	7	100	0,13	0,01	0,01
121	@adasq	12	6	100	0,19	0,02	0,01
122	@napotem	11	10	100	0,16	0,02	0,01
123	@kartiksingh	5	1	80	1,41	0,14	0,01
124	@mihail.tsvetkov	5	1	92	1,87	0,19	0,01
125	@armentor	4	1	21	1,33	0,14	0,01
126	@andyjaypowell	3	1	100	1,01	0,1	0,01
127	@mespanta	11	8	100	0,11	0,01	0,01
128	@lelon	21	15	100	0,06	0,01	0,01
129	@voitaksoutache	27	18	100	0,07	0,01	0,01
130	@pawelc	11	8	100	0,14	0,01	0,01
131	@khrom	46	29	98	0,04	0	0,01
132	@motoengineer	1	1	100	1,72	0,18	0,01
133	@soldierka	4	4	100	0,38	0,04	0,01
134	@redes	1	1	16	1,57	0,16	0,01
135	@bartosz546	12	3	100	0,76	0,08	0,01

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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	@busy.org	31	14	1	1,65	0,17	0,14
2	@busy.pay	8	2	1	4,21	0,43	0,05
3	@upme	1	1	4	6,62	0,68	0,04
4	@postpromoter	1	1	3	5,52	0,56	0,03
5	@tipu	2	2	4	1,69	0,17	0,02
6	@mercurybot	4	2	6	1,62	0,17	0,02
7	@minnowsupport	6	2	1	0,49	0,05	0,01

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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.

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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.