TOP 165 effective Steemit curators in ITA category for the last week (2018.11.26-2018.12.02)

I want to share with you statistics about the most effective Steemit curators in ITA 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 ITA category took one of the largest part of the reward pool on that week. Looks like ITA community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in ITA category.

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	418	1397	2691,049	2,024
2	spanish	683	1569	1783,455	1,342
3	deutsch	244	721	1221,14	0,919
4	cn	99	332	915,022	0,688
5	tr	57	130	589,372	0,443
6	pt	55	192	528,754	0,398
7	ita	54	147	390,395	0,294
8	polish	123	285	339,213	0,255
9	japanese	69	177	335,267	0,252
10	india	24	66	285,95	0,215

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

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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54 authors published their posts during this week.

2507 accounts participated in the content curating according to information from the database.

28182 votes were made during this week.

386,26 SBD - is the total author rewards for this week.

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TOP-165 effective curators for for the last week

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@hendrikdegrote	79	33	2	44,96	11,64	27,48
2	@lafona-miner	35	23	92	33,99	8,8	14,48
3	@steempostitalia	37	23	93	29,04	7,52	12,37
4	@enlil	38	24	9	8,28	2,14	3,68
5	@tizswa	94	37	29	5,06	1,31	3,47
6	@bhuz	9	3	94	53,61	13,88	2,98
7	@thenightflier	94	38	24	4,22	1,09	2,97
8	@gianluccio	103	44	37	2,85	0,74	2,32
9	@arcange	102	44	4	2	0,52	1,63
10	@curie	79	33	2	2,58	0,67	1,58
11	@heidi71	102	42	44	1,97	0,51	1,53
12	@drago18121996	94	37	29	1,86	0,48	1,27
13	@zaragast	93	38	26	1,65	0,43	1,16
14	@tombstone	39	26	0	2,34	0,61	1,13
15	@wackou	79	33	1	1,84	0,48	1,12
16	@dexpartacus	102	41	29	1,44	0,37	1,09
17	@vact	79	33	2	1,79	0,46	1,09
18	@luigiborla	102	37	29	1,56	0,4	1,07
19	@marcodobrovich	93	38	21	1,47	0,38	1,03
20	@noemilunastorta	98	41	27	1,32	0,34	1
21	@alinakot	93	38	21	1,39	0,36	0,98
22	@kevinwong	39	26	1	1,98	0,51	0,95
23	@themadicine	93	38	21	1,33	0,34	0,94
24	@stella87s	93	38	21	1,26	0,33	0,89
25	@martaorabasta	93	38	21	1,25	0,32	0,88
26	@gabriele-gio	93	37	23	1,16	0,3	0,79
27	@john-gpr	93	38	21	1,1	0,28	0,77
28	@serialfiller	101	42	43	0,98	0,25	0,76
29	@stea90	60	26	24	1,22	0,32	0,59
30	@girolamomarotta	100	42	30	0,68	0,18	0,53
31	@blitz	77	32	62	0,75	0,19	0,44
32	@isakost	98	42	38	0,55	0,14	0,43
33	@mad-runner	98	40	37	0,57	0,15	0,42
34	@armandosodano	102	43	31	0,44	0,11	0,35
35	@xeldal	1	1	100	17,79	4,61	0,33
36	@utopian-io	1	1	28	17,37	4,5	0,32
37	@djluka14	93	38	29	0,44	0,11	0,31
38	@akireuna	31	25	100	0,55	0,14	0,25
39	@imcesca	95	40	24	0,32	0,08	0,24
40	@phage93	105	48	31	0,24	0,06	0,21
41	@mondodidave73	101	41	21	0,28	0,07	0,21
42	@pab.ink	48	24	100	0,48	0,12	0,21
43	@nawamy	32	19	95	0,54	0,14	0,19
44	@silviu93	94	39	22	0,23	0,06	0,17
45	@spaghettiscience	94	39	22	0,23	0,06	0,17
46	@enmaart	93	38	21	0,2	0,05	0,14
47	@profumodimare	93	38	21	0,2	0,05	0,14
48	@road2horizon	93	37	22	0,2	0,05	0,14
49	@charlesx	93	38	21	0,2	0,05	0,14
50	@fulviaperillo	95	38	24	0,2	0,05	0,14
51	@giuatt07	13	7	35	1,07	0,28	0,14
52	@abramjs	93	38	21	0,2	0,05	0,14
53	@marcolino76	93	38	21	0,2	0,05	0,14
54	@andreaderrico	93	38	21	0,2	0,05	0,14
55	@robertbira	93	39	21	0,2	0,05	0,14
56	@moncia90	101	42	22	0,18	0,05	0,14
57	@mauryis	93	38	21	0,19	0,05	0,13
58	@sarabelardo	94	39	23	0,18	0,05	0,13
59	@tosolini	93	37	23	0,17	0,04	0,12
60	@deusjudo	101	42	20	0,16	0,04	0,12
61	@steemitri	26	11	29	0,6	0,16	0,12
62	@giornalista	109	43	31	0,15	0,04	0,12
63	@voghera	93	38	22	0,15	0,04	0,11
64	@lorenzopistolesi	99	37	30	0,16	0,04	0,11
65	@pawpawpaw	101	41	55	0,15	0,04	0,11
66	@ciuoto	94	39	32	0,15	0,04	0,11
67	@misia1979	98	40	26	0,14	0,04	0,1
68	@pablito	93	38	21	0,14	0,04	0,1
69	@sciack	98	41	24	0,13	0,03	0,1
70	@team	12	9	10	0,58	0,15	0,1
71	@ilvacca	93	38	21	0,13	0,03	0,09
72	@diana.catherine	25	21	50	0,23	0,06	0,09
73	@pataxis	93	38	21	0,13	0,03	0,09
74	@massimoc23	103	38	29	0,11	0,03	0,08
75	@spiceboyz	93	38	21	0,11	0,03	0,08
76	@phatima	29	20	12	0,18	0,05	0,07
77	@criptomabilia	93	38	24	0,1	0,03	0,07
78	@gruntu	93	38	25	0,1	0,03	0,07
79	@koinsquare	93	37	24	0,1	0,03	0,07
80	@elohim4	97	39	19	0,08	0,02	0,06
81	@kikka190389	94	39	23	0,08	0,02	0,06
82	@wisher	94	39	23	0,09	0,02	0,06
83	@newhope	2	2	16	1,67	0,43	0,06
84	@creativecrypto	7	6	10	0,52	0,13	0,06
85	@davide.vasco	93	38	23	0,09	0,02	0,06
86	@steemstem	2	2	45	1,74	0,45	0,06
87	@pojo	93	38	21	0,07	0,02	0,05
88	@giu-marcantuono	93	38	21	0,07	0,02	0,05
89	@elvisxx71	93	37	22	0,08	0,02	0,05
90	@camomilla	93	38	21	0,07	0,02	0,05
91	@niccolini	93	38	21	0,07	0,02	0,05
92	@mirkon86	93	38	21	0,07	0,02	0,05
93	@frafiomatale	93	38	21	0,07	0,02	0,05
94	@g-e-m-i-n-i	93	38	21	0,07	0,02	0,05
95	@nfelix92	93	38	21	0,07	0,02	0,05
96	@whoib	18	15	70	0,17	0,04	0,05
97	@franky4dita	93	38	21	0,07	0,02	0,05
98	@liberosist	69	31	2	0,08	0,02	0,05
99	@ivand83	93	38	21	0,07	0,02	0,05
100	@carolineschell	17	8	98	0,32	0,08	0,05
101	@fboccassi	93	38	21	0,07	0,02	0,05
102	@voiceoff	30	10	29	0,27	0,07	0,05
103	@lacremo-it	93	38	21	0,07	0,02	0,05
104	@onceuponatime	1	1	100	2,83	0,73	0,05
105	@mrliga	93	38	21	0,07	0,02	0,05
106	@rootsengrave	93	37	23	0,08	0,02	0,05
107	@sndbox	7	6	1	0,45	0,12	0,05
108	@suryavoice	93	38	21	0,07	0,02	0,05
109	@aditili	93	38	21	0,07	0,02	0,05
110	@alexzicky	39	23	12	0,09	0,02	0,04
111	@giuseppemasala	93	38	21	0,06	0,02	0,04
112	@fabiob	93	38	21	0,06	0,02	0,04
113	@golbang	79	33	1	0,07	0,02	0,04
114	@tommasobusiello	93	38	21	0,06	0,02	0,04
115	@wonderfulitalia	93	38	21	0,06	0,02	0,04
116	@ixion89	93	38	21	0,06	0,02	0,04
117	@petrolinivideo	94	39	22	0,06	0,02	0,04
118	@leandro77	93	38	21	0,06	0,02	0,04
119	@aniellopas	93	38	21	0,06	0,02	0,04
120	@neddykelly	15	12	90	0,15	0,04	0,03
121	@warofcraft	9	7	20	0,2	0,05	0,03
122	@eforucom	14	8	1	0,17	0,04	0,03
123	@bitok.xyz	12	10	2	0,15	0,04	0,03
124	@nfc	13	10	2	0,14	0,04	0,03
125	@steem-plus	4	3	25	0,58	0,15	0,03
126	@danielgiac79	10	1	100	1,52	0,39	0,03
127	@abigail-dantes	2	2	45	0,75	0,19	0,03
128	@airmatti	23	6	22	0,22	0,06	0,02
129	@ran.koree	20	11	53	0,11	0,03	0,02
130	@silkroadgo	79	33	1	0,03	0,01	0,02
131	@accelerator	13	10	2	0,13	0,03	0,02
132	@phoneinf	3	2	100	0,51	0,13	0,02
133	@silviabeneforti	9	3	93	0,29	0,08	0,02
134	@whitebot	8	5	3	0,21	0,05	0,02
135	@steemchoose	11	9	1	0,13	0,03	0,02
136	@paolobeneforti	7	1	100	0,49	0,13	0,01
137	@davinci.witness	3	3	60	0,19	0,05	0,01
138	@mammasitta	3	2	13	0,14	0,04	0,01
139	@scrawly	11	7	8	0,04	0,01	0,01
140	@beastlybanter	7	2	100	0,35	0,09	0,01
141	@c-squared	4	4	14	0,2	0,05	0,01
142	@kenadis	79	33	2	0,01	0	0,01
143	@partiko	3	3	1	0,1	0,03	0,01
144	@steembasicincome	1	1	8	0,28	0,07	0,01
145	@jeff747	10	1	50	0,66	0,17	0,01
146	@steemitboard	6	6	1	0,06	0,02	0,01
147	@knfitaly	7	6	56	0,08	0,02	0,01
148	@ripperone	1	1	12	0,38	0,1	0,01
149	@woolnami	79	33	1	0,01	0	0,01
150	@ilbarone623	4	4	100	0,07	0,02	0,01
151	@javier.dejuan	64	34	3	0,01	0	0,01
152	@jeffandhisguitar	8	8	50	0,08	0,02	0,01
153	@ghasemkiani	2	1	77	0,76	0,2	0,01
154	@alexis555	1	1	14	0,64	0,17	0,01
155	@drmake	79	33	1	0,01	0	0,01
156	@swapfuture	11	9	44	0,07	0,02	0,01
157	@antonella	2	2	76	0,19	0,05	0,01
158	@locikll	79	33	4	0,01	0	0,01
159	@call-me-howie	79	33	1	0,01	0	0,01
160	@mangos	1	1	16	0,36	0,09	0,01
161	@streaming	3	2	100	0,24	0,06	0,01
162	@lemouth	2	2	34	0,18	0,05	0,01
163	@roncoejr	4	1	10	0,33	0,09	0,01
164	@zipporah	60	29	0	0,01	0	0,01
165	@didic	79	33	1	0,01	0	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	@booster	3	1	35	55,66	14,41	1,03
2	@minnowsupport	12	9	2	0,71	0,18	0,12
3	@minnowbooster	1	1	67	6,19	1,6	0,11
4	@rocky1	1	1	15	5,42	1,4	0,1
5	@appreciator	1	1	6	4,54	1,18	0,08
6	@upme	1	1	6	2,13	0,55	0,04
7	@merlin7	8	7	1	0,11	0,03	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.

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