TOP 110 effective Steemit curators in JAPANESE category for the last week (2019.01.21-2019.01.27)

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	spanish	716	1641	3174,668	2,617
2	kr	343	1370	2813,671	2,319
3	deutsch	209	645	954,791	0,787
4	india	39	92	421,769	0,348
5	cn	94	375	387,443	0,319
6	ita	54	126	378,385	0,312
7	tr	62	167	371,362	0,306
8	pt	55	196	332,491	0,274
9	polish	106	266	299,943	0,247
10	indonesia	70	179	218,965	0,18

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.

---

44 authors published their posts during this week.

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

5032 votes were made during this week.

153,84 SBD - is the total author rewards for this week.

---

TOP-110 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@argon	105	39	23	5,25	3,41	4,65
2	@tamito0201	85	35	21	4,89	3,18	3,89
3	@yoshiko	77	31	13	5,25	3,41	3,7
4	@ytrphoto	64	29	10	4,93	3,2	3,25
5	@ultraseven	76	35	36	2,71	1,76	2,16
6	@steemitjp	49	16	33	4,81	3,13	1,75
7	@knozaki2015	53	25	2	2,35	1,53	1,34
8	@kumapom	91	36	40	1,43	0,93	1,17
9	@yo-yo	84	31	25	1,33	0,86	0,94
10	@kevinwong	41	21	1	1,82	1,18	0,87
11	@blocktrades	1	1	100	38,32	24,91	0,87
12	@zahnspange	53	25	2	1,35	0,88	0,77
13	@bramd	8	2	40	15,67	10,19	0,71
14	@djynn	62	25	31	1,14	0,74	0,65
15	@shogo	38	14	44	2,01	1,31	0,64
16	@yasu	48	13	22	1,84	1,2	0,54
17	@sallyfun	72	32	45	0,73	0,47	0,53
18	@tombstone	41	21	0	1,07	0,7	0,51
19	@tasteem	2	2	26	10,43	6,78	0,47
20	@hiradate	67	27	44	0,75	0,49	0,46
21	@kayoko	72	30	19	0,53	0,34	0,36
22	@yasu24	68	31	11	0,45	0,29	0,32
23	@fusan	32	17	61	0,78	0,51	0,3
24	@xanoxt	53	25	5	0,49	0,32	0,28
25	@kinakomochi	61	27	8	0,39	0,25	0,24
26	@amblog	32	15	58	0,68	0,44	0,23
27	@danielsaori	16	12	94	0,69	0,45	0,19
28	@moromaro	58	27	8	0,27	0,18	0,17
29	@knozaki2016	55	26	5	0,27	0,18	0,16
30	@suminyan10	40	22	82	0,3	0,2	0,15
31	@childcare	20	13	50	0,44	0,29	0,13
32	@jp-tiger	58	26	10	0,2	0,13	0,12
33	@sumi	22	11	57	0,46	0,3	0,12
34	@nadeshiko	57	29	9	0,16	0,1	0,11
35	@steembasicincome	6	6	4	0,82	0,53	0,11
36	@denjiro	62	25	27	0,19	0,12	0,11
37	@skan	4	2	14	2,12	1,38	0,1
38	@hidemi	25	16	74	0,25	0,16	0,09
39	@akipponn	31	13	100	0,31	0,2	0,09
40	@steemit-jp	54	25	2	0,15	0,1	0,09
41	@trips.teem	1	1	70	3,33	2,16	0,08
42	@super-em	25	7	100	0,48	0,31	0,08
43	@glastar	10	9	30	0,41	0,27	0,08
44	@kuroneko	25	10	59	0,34	0,22	0,08
45	@jsj1215	9	3	48	1,05	0,68	0,07
46	@noopu	11	10	45	0,32	0,21	0,07
47	@afukichi	23	14	100	0,22	0,14	0,07
48	@tonpa	54	17	26	0,19	0,12	0,07
49	@steemitbae	58	27	12	0,12	0,08	0,07
50	@piercesword	20	10	100	0,2	0,13	0,05
51	@yoyo-jp	19	11	95	0,19	0,12	0,05
52	@redes	2	2	14	0,82	0,53	0,04
53	@sho-t	54	20	23	0,08	0,05	0,04
54	@qurator	7	3	3	0,62	0,4	0,04
55	@make-a-whale	11	4	15	0,45	0,29	0,04
56	@bbxb1a4	17	10	75	0,16	0,1	0,04
57	@rewards-pool	1	1	100	1,35	0,88	0,03
58	@dcommerce	2	1	5	1,31	0,85	0,03
59	@hwan100	3	2	35	0,59	0,38	0,03
60	@jrvacation	9	5	37	0,3	0,2	0,03
61	@nathanmars	1	1	21	1,23	0,8	0,03
62	@suminohou	16	9	100	0,16	0,1	0,03
63	@aitommylr	36	10	91	0,15	0,1	0,03
64	@deanliu	7	2	11	0,59	0,38	0,03
65	@puncakbukit	14	6	50	0,14	0,09	0,02
66	@hanwoo	3	1	100	0,68	0,44	0,02
67	@olga2772	7	5	57	0,18	0,12	0,02
68	@steemitboard	10	9	1	0,09	0,06	0,02
69	@ripperone	2	1	15	0,82	0,53	0,02
70	@partiko	7	5	0	0,21	0,14	0,02
71	@centering	3	1	25	0,73	0,47	0,02
72	@usagi-alis	8	3	93	0,22	0,14	0,02
73	@justyy	9	3	3	0,3	0,2	0,02
74	@tsguide	12	9	39	0,12	0,08	0,02
75	@htliao	5	2	46	0,41	0,27	0,02
76	@ctime	13	6	1	0,16	0,1	0,02
77	@alexis555	1	1	19	0,74	0,48	0,02
78	@japanese-gourmet	55	26	5	0,02	0,01	0,01
79	@steemit-japan	55	26	5	0,02	0,01	0,01
80	@osarusan	8	6	100	0,08	0,05	0,01
81	@asim	5	2	100	0,15	0,1	0,01
82	@steemit.japan	55	26	5	0,02	0,01	0,01
83	@narita1980	6	3	100	0,11	0,07	0,01
84	@sirwinchester	53	25	2	0,02	0,01	0,01
85	@bluesniper	22	12	0	0,04	0,03	0,01
86	@rocketmen	53	25	2	0,01	0,01	0,01
87	@rocketgirl	53	25	2	0,01	0,01	0,01
88	@slowwalker	1	1	5	0,48	0,31	0,01
89	@tradingqueen	53	25	2	0,01	0,01	0,01
90	@joythewanderer	3	2	16	0,25	0,16	0,01
91	@skyleap	6	3	100	0,2	0,13	0,01
92	@warofcraft	2	2	20	0,13	0,08	0,01
93	@sonki999	2	1	20	0,42	0,27	0,01
94	@allsale	3	1	40	0,61	0,4	0,01
95	@knircky	3	1	12	0,49	0,32	0,01
96	@onealfa	3	1	27	0,47	0,31	0,01
97	@dana-edwards	3	1	80	0,4	0,26	0,01
98	@bigmedama	43	24	100	0,01	0,01	0,01
99	@twinpapa	2	1	51	0,36	0,23	0,01
100	@steemchoose	9	6	1	0,09	0,06	0,01
101	@coolenglish	6	1	60	0,51	0,33	0,01
102	@incinboost	12	5	3	0,06	0,04	0,01
103	@gtg	1	1	10	0,44	0,29	0,01
104	@steemraiser	1	1	83	0,26	0,17	0,01
105	@mnsk0619	17	6	100	0,05	0,03	0,01
106	@solnamu	1	1	100	0,28	0,18	0,01
107	@roundbeargames	3	1	88	0,47	0,31	0,01
108	@eforucom	5	5	2	0,1	0,07	0,01
109	@mangos	1	1	19	0,38	0,25	0,01
110	@accelerator	8	3	1	0,08	0,05	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	13	4	1	2,1	1,37	0,19
2	@minnowsupport	6	3	2	0,36	0,23	0,02

---

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.

---

_{Sponsored ( Powered by dclick )}