TOP 200 effective Steemit curators in JAPANESE category for the last week (2018.07.30-2018.08.05)

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

---

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	826	3028	8301	2,338
2	spanish	1184	2685	3862	1,088
3	deutsch	261	816	2132,028	0,6
4	ita	81	232	1738,345	0,489
5	cn	180	556	1727,763	0,486
6	tr	146	418	1513,954	0,426
7	japanese	119	327	1244,622	0,35
8	pt	89	246	899,572	0,253
9	indonesia	264	618	774,972	0,218
10	japan	14	32	727,997	0,205
11	stem-espanol	37	41	700,969	0,197
12	polish	151	362	691,266	0,195

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

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.

---

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.

---

119 authors published their posts during this week.

1262 accounts participated in the content curating according to information from the database.

11845 votes were made during this week.

1242,98 SBD - is the total author rewards for this week.

---

TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@steemit-jp	256	95	13	602,75	48,49	481,19
2	@zahnspange	169	63	6	48,51	3,9	25,68
3	@ngc	186	84	1	36,01	2,9	25,42
4	@knozaki2015	169	63	6	37,86	3,05	20,04
5	@yoshiko	209	70	10	17,54	1,41	10,32
6	@ultraseven	166	68	27	14,33	1,15	8,19
7	@argon	253	89	26	10,78	0,87	8,06
8	@ytrphoto	172	63	10	13,05	1,05	6,91
9	@roelandp	122	71	1	10,5	0,84	6,26
10	@engagement	186	84	1	8,48	0,68	5,99
11	@badebade	31	20	100	35,48	2,85	5,96
12	@steemitjp	79	29	39	21,66	1,74	5,28
13	@xanoxt	245	93	5	5,12	0,41	4
14	@shogo	186	68	17	6,82	0,55	3,9
15	@thecyclist	186	84	1	5,01	0,4	3,54
16	@kinakomochi	184	65	10	4,7	0,38	2,57
17	@kayoko	189	71	17	3,77	0,3	2,25
18	@thedelegator	186	84	1	3,19	0,26	2,25
19	@mnsk0619	155	74	31	3,16	0,25	1,97
20	@ocdb	9	5	33	44,8	3,6	1,88
21	@sirwinchester	169	63	6	3,55	0,29	1,88
22	@abusereports	186	84	1	2,57	0,21	1,81
23	@kouhei-gahaku	265	100	41	2,1	0,17	1,76
24	@rt395	136	67	21	2,48	0,2	1,4
25	@randomthoughts	186	84	1	1,99	0,16	1,4
26	@childcare	75	43	50	3,75	0,3	1,36
27	@gtg	7	7	31	20,31	1,63	1,19
28	@tonpa	227	92	30	1,5	0,12	1,16
29	@berniesanders	186	84	1	1,61	0,13	1,14
30	@bramd	10	7	13	18,9	1,52	1,11
31	@yasu	39	19	44	6,23	0,5	0,99
32	@djynn	95	38	30	2,99	0,24	0,95
33	@sumi	49	30	62	3,05	0,25	0,77
34	@crypto.hack	60	32	54	2,78	0,22	0,75
35	@denjiro	161	57	22	1,52	0,12	0,73
36	@piercesword	58	46	100	1,85	0,15	0,72
37	@sallyfun	99	43	28	1,92	0,15	0,69
38	@nadeshiko	89	54	29	1,46	0,12	0,66
39	@fusan	47	28	47	2,69	0,22	0,63
40	@steempayco	5	3	100	24,75	1,99	0,62
41	@hiradate	96	45	45	1,35	0,11	0,51
42	@kuroneko	56	23	53	2,11	0,17	0,41
43	@ramengirl	6	6	100	7,49	0,6	0,38
44	@tasteem	1	1	50	40,16	3,23	0,34
45	@danielsaori	19	13	76	2,99	0,24	0,33
46	@arcange	39	20	3	1,95	0,16	0,33
47	@rocketgirl	169	63	6	0,61	0,05	0,32
48	@rocketmen	169	63	6	0,57	0,05	0,3
49	@jrvacation	28	19	31	1,71	0,14	0,27
50	@moromaro	21	7	76	4,38	0,35	0,26
51	@iflagtrash	186	84	1	0,36	0,03	0,25
52	@neeeeeeeeeef	61	32	76	0,91	0,07	0,24
53	@amblog	39	24	66	1,19	0,1	0,24
54	@sleepcat	33	25	41	1,14	0,09	0,24
55	@jsj1215	9	4	53	6,04	0,49	0,2
56	@tradingqueen	169	63	6	0,38	0,03	0,2
57	@noopu	22	17	35	1,41	0,11	0,2
58	@yasu24	47	17	29	1,15	0,09	0,16
59	@nextgencrypto	186	84	1	0,23	0,02	0,16
60	@steemit-japan	170	63	8	0,31	0,02	0,16
61	@kawaiipower	26	12	100	1,49	0,12	0,15
62	@skan	5	2	6	8,75	0,7	0,15
63	@coolenglish	24	5	59	3,53	0,28	0,15
64	@hr1	14	11	0	1,34	0,11	0,12
65	@shimaris	52	20	72	0,72	0,06	0,12
66	@exhige	123	42	16	0,33	0,03	0,12
67	@yadamaniart	44	28	15	0,43	0,03	0,1
68	@cafelate	29	19	100	0,54	0,04	0,09
69	@puncakbukit	22	9	64	1,09	0,09	0,08
70	@fukako	10	7	100	1,17	0,09	0,07
71	@yo-yo	34	13	86	0,65	0,05	0,07
72	@miho	62	30	100	0,26	0,02	0,07
73	@tokyowomanslife	21	20	100	0,41	0,03	0,07
74	@skyleap	14	6	95	1,26	0,1	0,06
75	@kaz-ami	28	16	100	0,48	0,04	0,06
76	@make-a-whale	13	5	12	1,2	0,1	0,05
77	@esteemapp	3	2	3	2,81	0,23	0,05
78	@torachibi	32	20	96	0,32	0,03	0,05
79	@super-em	24	7	100	0,82	0,07	0,05
80	@akipponn	23	13	100	0,46	0,04	0,05
81	@steemitbae	22	7	100	0,66	0,05	0,04
82	@izzy7	55	28	35	0,15	0,01	0,04
83	@afukichi	33	28	100	0,18	0,01	0,04
84	@suminohou	24	13	100	0,24	0,02	0,03
85	@suminyan10	53	27	42	0,15	0,01	0,03
86	@ichigo	17	8	100	0,51	0,04	0,03
87	@romi	4	2	100	1,49	0,12	0,03
88	@centering	4	1	23	3,58	0,29	0,03
89	@matt-a	1	1	50	4,01	0,32	0,03
90	@warofcraft	8	8	20	0,52	0,04	0,03
91	@woo7739	1	1	39	2,16	0,17	0,02
92	@sonki999	4	1	71	1,98	0,16	0,02
93	@pairplay	1	1	59	2,51	0,2	0,02
94	@good-karma	3	2	3	1,47	0,12	0,02
95	@asim	8	4	79	0,56	0,05	0,02
96	@kkang	2	1	96	1,14	0,09	0,01
97	@penguinpablo	3	1	8	0,93	0,07	0,01
98	@redes	1	1	13	1,14	0,09	0,01
99	@cornerstone	1	1	30	0,67	0,05	0,01
100	@bullionstackers	3	2	22	0,75	0,06	0,01
101	@team-leibniz	4	2	32	0,32	0,03	0,01
102	@solnamu	2	2	100	0,33	0,03	0,01
103	@hanwoo	3	1	100	1,07	0,09	0,01
104	@feedyourminnows	9	3	37	0,5	0,04	0,01
105	@paul-gillbanks	3	2	30	0,64	0,05	0,01
106	@lerengbukit	12	1	100	1,56	0,13	0,01
107	@ace108	1	1	25	0,61	0,05	0,01
108	@allsale	3	1	44	1,49	0,12	0,01
109	@sbi6	23	7	2	0,09	0,01	0,01
110	@kotturinn	3	3	26	0,32	0,03	0,01
111	@shizuka	24	11	100	0,06	0	0,01
112	@olga2772	7	3	48	0,48	0,04	0,01
113	@twinpapa	4	1	53	0,69	0,06	0,01
114	@justyy	5	1	4	0,64	0,05	0,01
115	@ripperone	1	1	15	1,35	0,11	0,01
116	@dindar	5	1	100	0,96	0,08	0,01
117	@qurator-tier-1-2	8	2	2	0,41	0,03	0,01
118	@hwan100	2	2	15	0,56	0,05	0,01
119	@ivanfurqanpurba	131	74	11	0,02	0	0,01
120	@curx	7	6	39	0,2	0,02	0,01
121	@osm0sis	7	6	19	0,1	0,01	0,01
122	@zapncrap	7	6	39	0,2	0,02	0,01
123	@mdn	38	22	100	0,06	0	0,01
124	@sumomo	203	88	6	0,01	0	0,01
125	@miyabi	16	11	100	0,16	0,01	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	@busy.pay	34	12	1	13,6	1,09	1,37
2	@busy.org	59	25	1	0,83	0,07	0,17
3	@upme	2	1	5	9,16	0,74	0,08
4	@appreciator	1	1	4	8,24	0,66	0,07
5	@sneaky-ninja	1	1	14	3,04	0,24	0,03
6	@minnowsupport	4	3	1	0,36	0,03	0,01

---

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.