TOP 180 effective Steemit curators in JAPANESE category for the last week (2018.04.16-2018.04.22)

I want to share with you statistics about the most effective Steemit curators in JAPANESE 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	1368	5677	32794	3,591
2	spanish	2174	4688	11673	1,278
3	cn	308	1296	6730	0,737
4	tr	290	977	6385	0,699
5	deutsch	352	1128	5246	0,574
6	ita	146	393	3496	0,383
7	myanmar	182	539	2757	0,302
8	indonesia	709	1838	2185	0,239
9	japanese	134	496	1924	0,211
10	fr	113	324	1914	0,21
11	pt	101	376	1492	0,163
12	thai	136	441	1341	0,147
13	india	73	141	1321	0,145

You can see here that JAPANESE category took one of the largest part of the reward pool on that week. Looks like JAPANESE community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in JAPANESE 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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134 authors published their posts during this week.

2126 accounts participated in the content curating according to information from the database.

13407 votes were made during this week.

1919,87 SBD - is the total author rewards for this week.

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TOP-180 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@roelandp	128	41	3	93,05	4,85	28,47
2	@rt395	260	93	19	33,66	1,75	23,36
3	@badebade	40	26	100	119,98	6,25	23,28
4	@ultraseven	247	74	21	34,4	1,79	19
5	@yoshiko	77	37	43	46,72	2,43	12,9
6	@pharesim	99	35	0	36,08	1,88	9,42
7	@argon	228	80	18	15,58	0,81	9,3
8	@moromaro	145	41	23	27,28	1,42	8,35
9	@jrvacation	99	51	25	15,83	0,82	6,02
10	@asim	197	64	31	12,48	0,65	5,96
11	@sumi	112	51	53	13,15	0,68	5
12	@yasu	115	32	24	20,93	1,09	5
13	@steemit-jp	127	39	32	16,97	0,88	4,94
14	@steemitjp	24	18	64	33,75	1,76	4,53
15	@bramd	13	7	17	69,88	3,64	3,65
16	@djynn	106	49	29	9,47	0,49	3,46
17	@miho	127	41	45	9,6	0,5	2,94
18	@exhige	284	63	21	6,16	0,32	2,9
19	@sho-t	244	66	17	5,59	0,29	2,75
20	@shogo	147	56	38	5,94	0,31	2,48
21	@denjiro	206	57	28	5,83	0,3	2,48
22	@ramengirl	11	7	100	41,73	2,17	2,18
23	@tontoro3	118	41	44	6,41	0,33	1,96
24	@derrick829	109	34	1	7,47	0,39	1,9
25	@kuroneko	89	31	60	7,81	0,41	1,81
26	@kayoko	79	31	55	6,13	0,32	1,42
27	@piercesword	59	37	100	5,02	0,26	1,39
28	@gtg	7	6	16	29,77	1,55	1,33
29	@sleepcat	75	43	26	3,95	0,21	1,27
30	@fukako	31	23	85	6,76	0,35	1,16
31	@fusan	50	22	39	6,87	0,36	1,13
32	@kotaro.ktg	49	35	100	4	0,21	1,04
33	@childcare	54	28	90	4,68	0,24	0,98
34	@kinakomochi	58	27	25	4,83	0,25	0,97
35	@acidyo	4	4	10	29,34	1,53	0,88
36	@nadeshiko	49	29	100	3,87	0,2	0,84
37	@yadamaniart	75	45	23	2,51	0,13	0,84
38	@anomadsoul	4	4	15	27,96	1,46	0,83
39	@hr1	24	18	0	5,83	0,3	0,78
40	@yasu24	71	26	20	3,91	0,2	0,76
41	@skyleap	35	16	75	6,36	0,33	0,76
42	@torachibi	108	55	81	1,68	0,09	0,69
43	@kawaiipower	40	16	100	5,24	0,27	0,63
44	@tonpa	82	35	100	2,06	0,11	0,54
45	@noopu	36	19	41	3,48	0,18	0,49
46	@olga2772	25	14	45	4,16	0,22	0,43
47	@suminohou	70	40	100	1,4	0,07	0,42
48	@tokyowomanslife	89	63	100	0,86	0,04	0,4
49	@nextgencrypto	27	20	0	2,7	0,14	0,4
50	@crystalandhawaii	49	27	100	1,94	0,1	0,39
51	@yo-yo	78	43	90	1,22	0,06	0,39
52	@coolenglish	21	4	64	12,42	0,65	0,37
53	@knozaki2015	35	22	1	2,15	0,11	0,35
54	@thecyclist	27	20	0	2,16	0,11	0,32
55	@skan	6	2	6	21,04	1,1	0,31
56	@kafkanarchy84	7	5	100	8,09	0,42	0,3
57	@kushed	22	20	0	1,98	0,1	0,3
58	@ozchartart	27	20	0	1,93	0,1	0,29
59	@zahnspange	27	20	0	1,88	0,1	0,28
60	@kaz-ami	67	26	100	1,43	0,07	0,28
61	@crypto.hack	58	27	100	1,27	0,07	0,26
62	@kouhei-gahaku	30	26	77	1,31	0,07	0,25
63	@aitommylr	102	37	85	0,82	0,04	0,23
64	@jack8831	5	3	31	9,43	0,49	0,21
65	@ocd	4	3	34	8,83	0,46	0,2
66	@ngc	27	20	0	1,25	0,07	0,19
67	@goodboyphilip	16	8	71	3,12	0,16	0,19
68	@suminyan10	66	29	70	0,87	0,05	0,19
69	@kaylinart	3	2	100	11,61	0,6	0,17
70	@boxcarblue	6	4	75	5,34	0,28	0,16
71	@japanguide	15	10	24	2	0,1	0,15
72	@make-a-whale	12	4	17	4,79	0,25	0,14
73	@akipponn	34	13	100	1,29	0,07	0,13
74	@professorbromide	18	13	100	1,34	0,07	0,13
75	@b0y2k	21	19	0	0,84	0,04	0,12
76	@anyx	27	20	0	0,81	0,04	0,12
77	@sakurahana	22	10	100	1,52	0,08	0,11
78	@japanfund	55	14	64	1,01	0,05	0,11
79	@amblog	35	24	93	0,57	0,03	0,1
80	@kaneni	56	25	100	0,55	0,03	0,1
81	@klw	89	45	26	0,29	0,02	0,1
82	@jsj1215	5	1	100	13,09	0,68	0,1
83	@hidemi	33	20	100	0,62	0,03	0,09
84	@romedog	21	19	0	0,63	0,03	0,09
85	@hiradate	44	26	100	0,43	0,02	0,08
86	@orenji	47	22	100	0,47	0,02	0,08
87	@shimaris	99	42	100	0,26	0,01	0,08
88	@haveagoodday	47	23	99	0,43	0,02	0,07
89	@ichigo	30	5	97	1,86	0,1	0,07
90	@sjt	36	24	100	0,35	0,02	0,06
91	@leemikyung	3	3	9	2,8	0,15	0,06
92	@alexis555	1	1	20	6,93	0,36	0,05
93	@maxinpower	10	6	54	1,05	0,05	0,05
94	@miyabi	24	15	100	0,48	0,03	0,05
95	@cryptos	24	21	5	0,34	0,02	0,05
96	@zorba	18	11	30	0,66	0,03	0,05
97	@soyo	5	2	7	3,04	0,16	0,05
98	@overkillcoin	4	2	58	3,39	0,18	0,05
99	@mdn	36	13	100	0,52	0,03	0,05
100	@bullionstackers	7	3	13	2,2	0,11	0,05
101	@newhope	1	1	15	6,08	0,32	0,05
102	@redes	1	1	20	4,99	0,26	0,04
103	@sirwinchester	28	21	1	0,28	0,01	0,04
104	@richman	27	20	0	0,27	0,01	0,04
105	@joseph	27	20	0	0,27	0,01	0,04
106	@steemservices	27	20	0	0,27	0,01	0,04
107	@eveuncovered	27	20	0	0,27	0,01	0,04
108	@hanwoo	5	1	100	5,18	0,27	0,04
109	@thedelegator	27	20	0	0,27	0,01	0,04
110	@ssekulji	27	20	0	0,27	0,01	0,04
111	@paul-gillbanks	7	2	15	2,43	0,13	0,04
112	@berniesanders	27	20	0	0,27	0,01	0,04
113	@yougotflagged	27	20	0	0,27	0,01	0,04
114	@steemychicken1	21	19	0	0,21	0,01	0,03
115	@aizensou	21	19	0	0,21	0,01	0,03
116	@platinum-blue	21	19	0	0,21	0,01	0,03
117	@acromott	2	2	100	1,87	0,1	0,03
118	@themarkymark	21	19	0	0,21	0,01	0,03
119	@team-leibniz	13	2	35	2,03	0,11	0,03
120	@fractalnode	1	1	100	3,61	0,19	0,03
121	@happychau123	9	2	100	1,69	0,09	0,03
122	@pepe.maya	7	2	68	1,96	0,1	0,03
123	@marodayo	26	18	100	0,26	0,01	0,03
124	@fourseasons	5	1	100	4,04	0,21	0,03
125	@thebluepanda	27	20	0	0,19	0,01	0,03
126	@marketstack	15	12	1	0,28	0,01	0,03
127	@qurator	2	2	6	1,74	0,09	0,03
128	@fermion	29	5	100	0,87	0,05	0,03
129	@mnsk0619	97	34	100	0,12	0,01	0,03
130	@biancajapan	28	21	4	0,15	0,01	0,02
131	@htliao	2	2	21	1,01	0,05	0,02
132	@lukmarcus	2	2	25	1,3	0,07	0,02
133	@sakura-sakura	39	20	100	0,16	0,01	0,02
134	@cabbagepatch	13	2	50	1,59	0,08	0,02
135	@woo7739	1	1	49	3,14	0,16	0,02
136	@dark.horse	28	21	4	0,1	0,01	0,02
137	@karensuestudios	2	2	100	1,06	0,06	0,02
138	@dragonpower	3	2	22	1,21	0,06	0,02
139	@qustodian	4	1	36	2,08	0,11	0,02
140	@airbud23	1	1	100	3,11	0,16	0,02
141	@danielsaori	6	1	50	2,18	0,11	0,02
142	@olorin	1	1	100	2,1	0,11	0,02
143	@ripperone	1	1	15	3,02	0,16	0,02
144	@qurator-tier-1-2	7	3	4	1,06	0,06	0,02
145	@mangos	1	1	16	2,3	0,12	0,02
146	@leesol	1	1	30	3,06	0,16	0,02
147	@romi	4	2	25	0,99	0,05	0,01
148	@bun174	14	8	100	0,12	0,01	0,01
149	@tegoshei	5	3	51	0,42	0,02	0,01
150	@steemitbc	16	3	39	0,54	0,03	0,01
151	@guyverckw	1	1	60	0,71	0,04	0,01
152	@mydays	1	1	100	0,94	0,05	0,01
153	@whalepower	14	5	6	0,27	0,01	0,01
154	@sumomo	12	10	100	0,18	0,01	0,01
155	@planosdeunacasa	7	4	100	0,22	0,01	0,01
156	@crawfish37	1	1	20	0,83	0,04	0,01
157	@camptakany	6	2	100	0,35	0,02	0,01
158	@yuka1024	27	7	46	0,1	0,01	0,01
159	@korea	1	1	12	1,03	0,05	0,01
160	@vimva	1	1	100	0,92	0,05	0,01
161	@thomaskikansha	2	2	75	0,74	0,04	0,01
162	@gochuchamchi	7	2	100	0,76	0,04	0,01
163	@justyy	2	1	13	1,45	0,08	0,01
164	@familydoctor	2	1	100	1,03	0,05	0,01
165	@spicetrader	8	4	100	0,45	0,02	0,01
166	@super-em	17	5	100	0,17	0,01	0,01
167	@steevc	5	1	15	0,75	0,04	0,01
168	@delian	5	2	100	0,37	0,02	0,01
169	@unlockrs	1	1	100	1,62	0,08	0,01
170	@ash	1	1	40	1,13	0,06	0,01
171	@teamsteem	1	1	4	1,3	0,07	0,01
172	@solnamu	2	1	100	0,76	0,04	0,01
173	@feyee95	2	1	40	0,83	0,04	0,01
174	@hansikhouse	1	1	50	1,94	0,1	0,01
175	@nicolemoker	1	1	50	0,9	0,05	0,01
176	@kamada3	7	3	100	0,38	0,02	0,01
177	@waka	13	10	100	0,13	0,01	0,01
178	@xinnong	1	1	20	0,94	0,05	0,01
179	@hendrikdegrote	1	1	0	1,31	0,07	0,01
180	@streetstyle	1	1	19	1,18	0,06	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	@buildawhale	45	13	3	528,19	27,51	51,24
2	@busy.org	75	27	1	14,12	0,74	2,85
3	@smartsteem	6	2	4	77,25	4,02	1,15
4	@busy.pay	13	3	2	21,3	1,11	0,48
5	@postpromoter	3	2	2	27,22	1,42	0,41
6	@upmyvote	7	3	3	17,35	0,9	0,39
7	@rocky1	2	2	4	26,05	1,36	0,39
8	@boomerang	2	2	6	10,64	0,55	0,16
9	@promobot	1	1	9	14,59	0,76	0,11
10	@sneaky-ninja	1	1	10	6,18	0,32	0,05
11	@booster	1	1	2	4,66	0,24	0,03
12	@jerrybanfield	1	1	4	3,5	0,18	0,03
13	@minnowhelper	1	1	81	2,63	0,14	0,02

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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.