TOP 200 effective Steemit curators in PHOTOGRAPHY category for the last week (2018.12.03-2018.12.09)

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

I showed there that PHOTOGRAPHY category took the biggest part of the reward pool on that week. The main theme of my blog and my main hobby is photography. So I decided to made a top of the most effective Steemit curators in PHOTOGRAPHY 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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1012 authors published their posts during this week.

25631 accounts participated in the content curating according to information from the database.

165195 votes were made during this week.

6536,52 SBD - is the total author rewards for this week.

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TOP-200 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@sweetsssj	26	9	94	501,44	7,67	4,46
2	@esteemapp	108	63	6	63,93	0,98	3,98
3	@hendrikdegrote	51	37	5	75,81	1,16	2,77
4	@slowwalker	40	22	22	89,21	1,36	1,94
5	@partiko	144	82	3	22,9	0,35	1,86
6	@kpine	32	8	28	136,61	2,09	1,08
7	@shaka	40	27	32	28,9	0,44	0,77
8	@steemchoose	269	100	2	7,8	0,12	0,77
9	@steem-ua	107	46	2	14,3	0,22	0,65
10	@good-karma	109	64	6	9,83	0,15	0,62
11	@jawnz	58	9	100	68,4	1,05	0,61
12	@alexis555	31	23	19	24,32	0,37	0,55
13	@newhope	29	21	18	25,44	0,39	0,53
14	@mmmmkkkk311	77	17	12	28,32	0,43	0,48
15	@eforucom	316	143	1	3,39	0,05	0,48
16	@smartmarket	56	30	8	15,87	0,24	0,47
17	@wackou	61	45	4	8,84	0,14	0,39
18	@qurator	118	40	3	9,66	0,15	0,38
19	@acidyo	21	20	15	19,08	0,29	0,38
20	@oldtimer	35	18	48	20,78	0,32	0,37
21	@s4s	19	11	50	31,8	0,49	0,35
22	@ngc	62	30	2	11,52	0,18	0,34
23	@liondani	20	11	100	31,68	0,48	0,34
24	@ripperone	31	21	17	15,92	0,24	0,33
25	@mangos	31	27	18	11,71	0,18	0,31
26	@ctime	124	47	4	6,66	0,1	0,31
27	@accelerator	186	117	2	2,58	0,04	0,3
28	@steemitboard	190	165	1	1,87	0,03	0,3
29	@daveks	45	17	56	17,61	0,27	0,3
30	@bitok.xyz	180	126	2	2,44	0,04	0,3
31	@kaylinart	49	28	98	10,43	0,16	0,29
32	@redes	30	18	18	16,01	0,24	0,28
33	@firepower	19	11	53	26,03	0,4	0,28
34	@donkeypong	39	9	9	30,53	0,47	0,27
35	@whitebot	116	81	2	2,92	0,04	0,23
36	@adsactly	7	2	88	107,42	1,64	0,21
37	@czechglobalhosts	20	5	41	43,3	0,66	0,21
38	@mbp	19	11	51	19,05	0,29	0,21
39	@theycallmedan	5	4	56	50,05	0,77	0,2
40	@asmolokalo	65	15	86	13,55	0,21	0,2
41	@anomadsoul	14	9	25	21,41	0,33	0,19
42	@broncnutz	14	4	80	44,28	0,68	0,18
43	@gringalicious	18	6	94	30,07	0,46	0,18
44	@curie	51	37	5	4,56	0,07	0,17
45	@nfc	143	102	2	1,56	0,02	0,16
46	@chorock	47	16	34	8,57	0,13	0,14
47	@johannpiber	153	100	17	1,39	0,02	0,14
48	@foruni73	55	33	99	4,13	0,06	0,13
49	@pfunk	15	8	36	15,87	0,24	0,13
50	@vact	51	37	5	3,17	0,05	0,12
51	@staticinstance	82	43	3	2,72	0,04	0,12
52	@onceuponatime	19	8	36	15,65	0,24	0,12
53	@khanza.aulia	43	21	37	5,46	0,08	0,11
54	@bluesniper	88	35	4	3,16	0,05	0,11
55	@cervantes	13	9	23	12,86	0,2	0,11
56	@canadian-coconut	14	6	14	18,17	0,28	0,11
57	@levycore	25	9	65	12,69	0,19	0,11
58	@blewitt	131	86	6	1,24	0,02	0,11
59	@fuzzyvest	5	4	87	28,95	0,44	0,11
60	@exyle	12	3	72	34,97	0,53	0,1
61	@grandpawhale	82	43	3	2,25	0,03	0,1
62	@ocd	9	9	46	10,03	0,15	0,09
63	@ocdb	3	2	54	47,88	0,73	0,09
64	@tombstone	30	24	1	3,7	0,06	0,09
65	@ace108	40	12	14	6,33	0,1	0,08
66	@ramta	7	5	37	15,68	0,24	0,08
67	@bart2305	112	59	21	1,42	0,02	0,08
68	@steembasicincome	34	13	5	5,87	0,09	0,08
69	@analisa	39	9	9	8,69	0,13	0,08
70	@helpie	60	28	5	2,79	0,04	0,08
71	@bhuz	4	4	100	21,19	0,32	0,08
72	@penguinpablo	32	22	9	3,68	0,06	0,08
73	@arcange	73	61	4	1,29	0,02	0,08
74	@kevinwong	31	25	2	3,37	0,05	0,08
75	@abcor	279	172	1	0,44	0,01	0,07
76	@talentclub	21	16	18	4,23	0,06	0,07
77	@fminerten	8	2	89	34,59	0,53	0,07
78	@kommienezuspadt	14	3	100	23,9	0,37	0,07
79	@funtraveller	113	67	2	1,13	0,02	0,07
80	@nextgen622	26	3	100	22,1	0,34	0,07
81	@redpalestino	9	4	92	17,45	0,27	0,07
82	@armentor	45	17	31	4,11	0,06	0,07
83	@vortac	21	14	11	4,75	0,07	0,07
84	@vcelier	8	3	82	23,99	0,37	0,07
85	@thecatfiles	58	9	100	7,79	0,12	0,07
86	@amylee	58	9	100	6,38	0,1	0,06
87	@maysun	58	8	100	7,38	0,11	0,06
88	@honeybee	58	9	100	6,43	0,1	0,06
89	@allanlong	58	8	100	7,83	0,12	0,06
90	@ssin	7	7	100	8,95	0,14	0,06
91	@dobartim	41	10	6	6,46	0,1	0,06
92	@stephenkendal	25	5	65	12,5	0,19	0,06
93	@ees	19	4	62	14,26	0,22	0,06
94	@warofcraft	68	47	20	1,28	0,02	0,06
95	@lightsplasher	18	9	100	6,48	0,1	0,06
96	@silver-hammer	9	2	94	30,78	0,47	0,06
97	@sherrychan	58	8	100	7,47	0,11	0,06
98	@c-squared	31	28	15	1,75	0,03	0,05
99	@lafona-miner	10	8	31	5,93	0,09	0,05
100	@brianlam	58	8	100	6,88	0,11	0,05
101	@roxane	22	8	24	6,34	0,1	0,05
102	@spectrumecons	8	8	67	6,88	0,11	0,05
103	@helgachen	58	8	100	5,97	0,09	0,05
104	@uwelang	40	12	15	4,05	0,06	0,05
105	@serenawu	58	8	100	6,39	0,1	0,05
106	@sureshot	28	8	28	6,41	0,1	0,05
107	@matt-a	5	5	100	10,32	0,16	0,05
108	@ashely056	58	8	100	5,96	0,09	0,05
109	@cj3000	38	27	28	1,98	0,03	0,05
110	@nanzo-scoop	18	9	16	5,89	0,09	0,05
111	@derrick829	13	8	25	6,48	0,1	0,05
112	@fabianklauder	42	16	22	2,86	0,04	0,05
113	@reflektor	27	3	58	16,21	0,25	0,05
114	@mehta	47	28	98	1,75	0,03	0,05
115	@lyubovbar	166	3	100	16,18	0,25	0,05
116	@asgarth	28	19	58	2,52	0,04	0,05
117	@ssg-community	14	4	38	13,55	0,21	0,05
118	@qurator-tier-1-2	118	40	3	1,23	0,02	0,05
119	@watchlist	82	38	7	1,29	0,02	0,05
120	@abigail-dantes	9	5	87	7,77	0,12	0,04
121	@fyrstikken	15	14	34	3,01	0,05	0,04
122	@cryptoctopus	12	10	27	4,55	0,07	0,04
123	@leemikyung	12	3	69	12,28	0,19	0,04
124	@hanshotfirst	21	6	11	6,14	0,09	0,04
125	@steem.services	7	6	100	6,26	0,1	0,04
126	@tarazkp	14	9	70	4,97	0,08	0,04
127	@meesterboom	17	5	71	7,79	0,12	0,04
128	@lichtblick	17	7	76	5,89	0,09	0,04
129	@candyboy	6	2	75	21,02	0,32	0,04
130	@ghasemkiani	20	18	23	2,18	0,03	0,04
131	@qustodian	30	8	58	4,52	0,07	0,04
132	@elviento	280	116	5	0,35	0,01	0,04
133	@khaiyoui	9	3	79	11,99	0,18	0,04
134	@dexter-k	83	51	13	0,81	0,01	0,04
135	@mammasitta	116	71	2	0,56	0,01	0,04
136	@michaeljn	77	53	99	0,8	0,01	0,04
137	@steempty	8	2	89	20,91	0,32	0,04
138	@twinkledrop	58	9	100	4,26	0,07	0,04
139	@joeparys	21	10	14	3,59	0,05	0,04
140	@perepilichnyy	9	4	100	10,86	0,17	0,04
141	@retinox	86	44	6	0,58	0,01	0,03
142	@violetmed	17	14	44	1,9	0,03	0,03
143	@milaoz	152	2	100	15,79	0,24	0,03
144	@vannour	80	46	24	0,67	0,01	0,03
145	@alexanderfluke	66	33	14	0,81	0,01	0,03
146	@oldstone	12	2	91	16,34	0,25	0,03
147	@dstors	7	2	72	15,61	0,24	0,03
148	@steempress-io	9	5	3	5,7	0,09	0,03
149	@compo	7	7	100	4,7	0,07	0,03
150	@alfanso	18	7	12	4,99	0,08	0,03
151	@bleujay	8	5	100	6,31	0,1	0,03
152	@jaki01	7	3	100	11,55	0,18	0,03
153	@xaero1	5	1	79	34,9	0,53	0,03
154	@jamjamfood	71	34	15	0,82	0,01	0,03
155	@v4vapid	2	2	75	12,67	0,19	0,03
156	@always1success	22	10	65	2,7	0,04	0,03
157	@tatjanastan	11	4	77	7,34	0,11	0,03
158	@kingscrown	9	4	38	6,84	0,1	0,03
159	@ourdailyboard	21	15	100	2,27	0,03	0,03
160	@bpclan	21	7	14	4,13	0,06	0,03
161	@sanevys	30	21	95	1,28	0,02	0,03
162	@bigdeej	75	43	3	0,6	0,01	0,03
163	@kr-coffeesteem	5	5	100	6,83	0,1	0,03
164	@bukiland	142	86	2	0,3	0	0,03
165	@hingsten	27	3	58	10,14	0,16	0,03
166	@rea	5	4	100	7,72	0,12	0,03
167	@zipporah	76	48	11	0,6	0,01	0,03
168	@d-pend	9	8	25	3,75	0,06	0,03
169	@a-bot	10	6	25	4,3	0,07	0,03
170	@heiditravels	13	9	23	3,4	0,05	0,03
171	@healthsquared	41	6	100	4,41	0,07	0,03
172	@pgarcgo	13	9	23	3,53	0,05	0,03
173	@dclick	5	3	37	11,15	0,17	0,03
174	@crimsonclad	72	35	6	0,75	0,01	0,03
175	@t-bot	18	9	16	3,56	0,05	0,03
176	@liberosist	46	33	13	0,93	0,01	0,03
177	@neoxian	9	7	27	4,41	0,07	0,03
178	@followbtcnews	12	12	34	2,7	0,04	0,03
179	@ezzy	12	2	85	17,12	0,26	0,03
180	@make-a-whale	28	9	23	2,88	0,04	0,03
181	@partiko-promoter	29	24	19	1,3	0,02	0,03
182	@golbang	53	38	2	0,68	0,01	0,03
183	@silvergoldbotty	31	7	8	4,38	0,07	0,03
184	@xpilar	27	3	61	11,2	0,17	0,03
185	@babsboard	12	7	72	3,92	0,06	0,03
186	@cyclamen	24	16	90	1,43	0,02	0,02
187	@steemfunding	5	1	100	18,58	0,28	0,02
188	@samantha-w	8	2	77	11,78	0,18	0,02
189	@share2steem	35	14	6	1,12	0,02	0,02
190	@stef1	15	7	96	2,32	0,04	0,02
191	@catchawhale	71	12	20	1,97	0,03	0,02
192	@kgakakillerg	90	50	22	0,41	0,01	0,02
193	@steemychicken1	17	9	16	2,14	0,03	0,02
194	@kartiksingh	18	9	80	2,09	0,03	0,02
195	@achim86	32	26	98	0,65	0,01	0,02
196	@jcbit	8	4	89	4,93	0,08	0,02
197	@imacryptorick	13	2	14	8,64	0,13	0,02
198	@obvious	41	29	19	0,55	0,01	0,02
199	@michaelleeld	56	8	100	2,06	0,03	0,02
200	@photoman	8	1	100	18,89	0,29	0,02

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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	@booster	88	28	7	287,49	4,4	7,95
2	@smartsteem	28	22	16	358,68	5,49	7,8
3	@appreciator	22	18	21	343,56	5,26	6,11
4	@therising	21	14	22	313,02	4,79	4,33
5	@busy.pay	185	73	3	57,84	0,88	4,17
6	@tipu	44	19	12	139,62	2,14	2,62
7	@upmewhale	30	16	13	130,83	2	2,07
8	@upme	26	12	14	127,69	1,95	1,51
9	@boomerang	47	19	10	77,05	1,18	1,45
10	@merlin7	322	161	2	8,21	0,13	1,31
11	@jerrybanfield	48	15	13	74,94	1,15	1,11
12	@upmyvote	28	10	26	87,7	1,34	0,87
13	@rocky1	23	9	11	91,54	1,4	0,81
14	@buildawhale	28	11	5	69,97	1,07	0,76
15	@minnowsupport	91	61	2	6,04	0,09	0,36
16	@minnowvotes	14	6	54	55,56	0,85	0,33
17	@postpromoter	5	4	52	61,28	0,94	0,24
18	@brandonfrye	14	6	55	16,29	0,25	0,1
19	@oceanwhale	12	6	55	15,51	0,24	0,09
20	@dailyupvotes	24	9	37	7,86	0,12	0,07
21	@inciter	24	11	13	6,2	0,09	0,07
22	@minnowbooster	2	2	100	22,28	0,34	0,04
23	@sneaky-ninja	9	4	15	9,55	0,15	0,04
24	@steem-plus	89	41	2	0,76	0,01	0,03
25	@chronoboost	21	11	15	2,77	0,04	0,03

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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.