TOP 100 effective Steemit curators in Indonesia category for the last week (2018.08.13-2018.08.19)

I want to share with you statistics about the most effective Steemit curators in Indonesia 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-100 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	kr	736	2889	6222,743	2,241
2	spanish	1131	2255	3026,543	1,09
3	deutsch	261	785	1534,509	0,553
4	cn	139	444	1315,249	0,474
5	japanese	114	299	1071,278	0,386
6	ita	68	190	894,284	0,322
7	tr	118	326	807,181	0,291
8	india	100	186	756,742	0,272
9	indonesia	298	662	705,773	0,254
10	japan	16	32	609,403	0,219
11	polish	166	325	523,441	0,188
12	roman	1	2	464,248	0,167
13	pt	79	240	453,886	0,163

You can find an actual information about TOP 50 categories rewards in this post.

You can see here that Indonesia category took one of the largest part of the reward pool on that week. Looks like Indonesia community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in Indonesia 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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298 authors published their posts during this week.

5725 accounts participated in the content curating according to information from the database.

24999 votes were made during this week.

700,81 SBD - is the total author rewards for this week.

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TOP-100 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@esteemapp	189	107	3	118,56	16,92	42,57
2	@good-karma	190	108	3	63,26	9,03	22,93
3	@hendrikdegrote	91	35	1	62,16	8,87	7,3
4	@levycore	152	58	13	33,98	4,85	6,61
5	@aiqabrago	102	60	29	22,39	3,19	4,51
6	@hr1	109	72	0	7,46	1,06	1,8
7	@tombstone	67	31	0	11,12	1,59	1,16
8	@esteem.app	189	107	3	2,68	0,38	0,96
9	@steempress-io	19	10	2	24,57	3,51	0,82
10	@thunderbird	91	35	30	5,81	0,83	0,68
11	@curie	91	35	1	5,23	0,75	0,61
12	@kevinwong	67	31	0	5,12	0,73	0,53
13	@wackou	86	33	0	4,58	0,65	0,51
14	@the-garuda	44	29	100	3,82	0,55	0,37
15	@vact	91	35	1	2,61	0,37	0,31
16	@khanza.aulia	23	13	49	5,14	0,73	0,22
17	@hadipedia	63	44	19	1,27	0,18	0,19
18	@thekitchenfairy	28	17	56	2,38	0,34	0,14
19	@donkeypong	9	2	12	19,15	2,73	0,13
20	@anwenbaumeister	91	35	1	0,91	0,13	0,11
21	@sndbox	9	9	3	3,09	0,44	0,09
22	@abduhawab	25	19	54	1,38	0,2	0,09
23	@sevenfingers	23	19	44	1,17	0,17	0,07
24	@followbtcnews	47	26	1	0,78	0,11	0,07
25	@steem-ambassador	5	5	38	4,3	0,61	0,07
26	@candyboy	2	1	80	16,47	2,35	0,06
27	@bullionstackers	11	5	37	3,87	0,55	0,06
28	@top-exchanges	2	2	60	9,09	1,3	0,06
29	@lugina	8	2	100	7,81	1,11	0,05
30	@anggreklestari	32	22	62	0,62	0,09	0,05
31	@analisa	9	2	12	6,15	0,88	0,04
32	@czechglobalhosts	1	1	100	12,51	1,79	0,04
33	@bahagia-arbi	68	44	31	0,26	0,04	0,04
34	@saifuddin73	25	11	89	1,01	0,14	0,04
35	@mariska.lubis	45	27	45	0,48	0,07	0,04
36	@zikra	27	17	19	0,44	0,06	0,03
37	@feruz	190	108	3	0,07	0,01	0,03
38	@razack-pulo	10	4	100	2,42	0,35	0,03
39	@ezblog	8	2	100	3,99	0,57	0,03
40	@roelandp	22	18	0	0,56	0,08	0,03
41	@creativecrypto	8	8	10	1,21	0,17	0,03
42	@steemyoda	4	3	45	3,2	0,46	0,03
43	@ettydiallova	29	19	59	0,41	0,06	0,03
44	@ayijufridar	21	10	66	0,81	0,12	0,03
45	@ramta	1	1	40	5,64	0,8	0,02
46	@voter000	9	8	17	0,56	0,08	0,02
47	@roundbeargames	10	6	42	1,2	0,17	0,02
48	@riodejaksiuroe	27	22	100	0,27	0,04	0,02
49	@happyphoenix	34	15	21	0,46	0,07	0,02
50	@andrecarothers	9	8	17	0,58	0,08	0,02
51	@owner99	28	17	62	0,35	0,05	0,02
52	@tommyhansen	1	1	78	2,77	0,4	0,01
53	@midun	10	9	100	0,18	0,03	0,01
54	@zamzamiali	14	8	96	0,34	0,05	0,01
55	@abuarkan	16	11	100	0,15	0,02	0,01
56	@boyelleq	34	13	100	0,34	0,05	0,01
57	@kamikaze	2	2	40	1,8	0,26	0,01
58	@pojan	22	18	35	0,14	0,02	0,01
59	@liberosist	79	37	1	0,05	0,01	0,01
60	@sentanu74	29	14	19	0,12	0,02	0,01
61	@neoxian	2	2	14	0,78	0,11	0,01
62	@cryptohustlin	9	8	17	0,24	0,03	0,01
63	@rayfa	23	15	100	0,17	0,02	0,01
64	@kakilasak	11	5	84	0,31	0,04	0,01
65	@fulltimeangel	1	1	100	1,71	0,24	0,01
66	@icuz	11	10	73	0,17	0,02	0,01
67	@yandot	18	17	12	0,2	0,03	0,01
68	@rijalaronaceh	31	8	86	0,19	0,03	0,01
69	@rok-sivante	2	1	44	2,2	0,31	0,01
70	@hamidi103	29	12	84	0,21	0,03	0,01
71	@rahmanovic	16	11	100	0,16	0,02	0,01
72	@ihansunrise	26	17	100	0,26	0,04	0,01
73	@partiko	17	9	4	0,18	0,03	0,01
74	@davidorcamuriel	1	1	100	2,08	0,3	0,01
75	@jaki01	1	1	100	4,24	0,61	0,01
76	@airbud23	2	2	18	0,87	0,12	0,01
77	@khairilmiswar	16	12	99	0,15	0,02	0,01
78	@promo-steemrural	9	6	39	0,47	0,07	0,01
79	@syehlah	19	12	100	0,16	0,02	0,01
80	@arie.steem	29	21	32	0,09	0,01	0,01
81	@ghasemkiani	3	3	19	0,53	0,08	0,01
82	@coretan	32	22	40	0,15	0,02	0,01
83	@zahnspange	1	1	100	2,54	0,36	0,01
84	@eric-boucher	39	24	1	0,14	0,02	0,01
85	@anharismail	29	7	100	0,29	0,04	0,01
86	@starkerz	5	5	6	0,31	0,04	0,01
87	@solominer	14	7	4	0,23	0,03	0,01
88	@superpromoter	3	3	56	0,88	0,13	0,01
89	@nanzo-scoop	1	1	100	3,33	0,48	0,01
90	@nurhayati	19	9	58	0,2	0,03	0,01
91	@ilyasismail	19	9	100	0,42	0,06	0,01
92	@tinmiswary	18	14	90	0,18	0,03	0,01
93	@rizasukma	7	4	100	0,61	0,09	0,01
94	@daydreaming	50	28	100	0,08	0,01	0,01
95	@dokter-purnama	16	7	82	0,39	0,06	0,01
96	@u25b2x	9	8	17	0,46	0,07	0,01
97	@zainalbakri	11	3	89	0,6	0,09	0,01
98	@tusroni	23	14	100	0,22	0,03	0,01
99	@paul-gillbanks	6	5	28	0,87	0,12	0,01
100	@ladiesofsteemit	1	1	10	0	0	0

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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	@minnowsupport	99	55	1	7,31	1,04	1,35
2	@jerrybanfield	6	5	16	32,32	4,61	0,54
3	@upme	5	4	4	18,13	2,59	0,24
4	@smartsteem	2	2	3	12,62	1,8	0,08
5	@booster	3	2	9	7,52	1,07	0,05
6	@busy.pay	11	4	1	2,66	0,38	0,04
7	@brandonfrye	8	7	10	1,62	0,23	0,04
8	@boomerang	2	2	9	6,11	0,87	0,04
9	@minnowpond	9	8	17	1,28	0,18	0,03
10	@sneaky-ninja	2	2	8	2,41	0,34	0,02
11	@profitvote	6	5	23	1,43	0,2	0,02
12	@buildawhale	1	1	7	7,18	1,02	0,02
13	@flymehigh	8	7	60	0,36	0,05	0,01
14	@rocky1	1	1	5	3,88	0,55	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.