TOP 200 effective Steemit curators in ITA category for the last week (2018.03.26-2018.04.01)

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-70 categories for total rewards.

№	Category	Authors	Posts	Reward (SBD)	Share %
1	kr	1377	4771	14142	3,356
2	spanish	1818	3660	6191	1,469
3	cn	315	1001	3375	0,801
4	ita	157	383	2291	0,544
5	deutsch	346	962	2173	0,516
6	morocco	58	223	1776	0,422
7	tr	277	783	1707	0,405
8	japanese	125	425	1223	0,29
9	fr	129	295	1080	0,256
10	myanmar	184	450	930	0,221

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 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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157 authors published their posts during this week.

1735 accounts participated in the content curating according to information from the database.

87482 votes were made during this week.

2282,4 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	@bhuz	51	42	56	775,54	33,98	207,47
2	@hendrikdegrote	177	72	1	177,08	7,76	81,21
3	@enlil	50	39	51	219,71	9,63	54,58
4	@steempostitalia	58	45	64	127,12	5,57	36,44
5	@tizswa	299	110	12	24,18	1,06	16,94
6	@thenightflier	297	109	11	22,74	1	15,79
7	@pharesim	156	69	0	35,15	1,54	15,45
8	@hr1	126	77	0	18,31	0,8	8,98
9	@gianluccio	304	113	13	11,59	0,51	8,34
10	@alinakot	295	107	11	12,22	0,54	8,33
11	@marcodobrovich	296	108	10	11,47	0,5	7,89
12	@curie	177	72	1	16,46	0,72	7,55
13	@drago18121996	295	107	12	10,01	0,44	6,82
14	@zaragast	295	108	11	9,2	0,4	6,33
15	@themadicine	295	107	10	9,07	0,4	6,18
16	@stella87s	300	111	12	8,7	0,38	6,15
17	@noemilunastorta	295	107	12	6,71	0,29	4,57
18	@anwenbaumeister	177	72	1	9,53	0,42	4,37
19	@streaming	295	108	11	6,17	0,27	4,24
20	@meerkat	174	72	1	8,87	0,39	4,07
21	@fmd	295	108	10	5,78	0,25	3,98
22	@viki.veg	295	107	10	5,82	0,25	3,97
23	@pataxis	295	108	10	5,76	0,25	3,96
24	@martaorabasta	294	108	10	5,62	0,25	3,87
25	@john-gpr	293	107	10	5,6	0,25	3,82
26	@gabriele-gio	296	109	11	5,28	0,23	3,67
27	@heidi71	296	110	10	3,81	0,17	2,67
28	@djluka14	294	107	12	3,91	0,17	2,66
29	@alexzicky	198	90	17	4,51	0,2	2,59
30	@liberosist	174	72	1	5,26	0,23	2,41
31	@andreaderrico	299	111	12	3,37	0,15	2,38
32	@nicola71	295	108	10	3,42	0,15	2,35
33	@sarabelardo	298	110	11	3,33	0,15	2,33
34	@dexpartacus	300	111	11	3,24	0,14	2,29
35	@spaghettiscience	296	108	11	3,24	0,14	2,23
36	@charlesx	295	107	11	3,22	0,14	2,19
37	@pablito	295	107	10	3,12	0,14	2,13
38	@mirkon86	298	109	12	3,06	0,13	2,12
39	@profumodimare	296	109	10	3,04	0,13	2,11
40	@mondodidave73	295	107	10	3,06	0,13	2,09
41	@sciack	295	107	11	3,05	0,13	2,08
42	@voghera	297	108	13	3,02	0,13	2,08
43	@girolamomarotta	297	109	11	2,94	0,13	2,04
44	@abramjs	295	108	10	2,91	0,13	2
45	@silviu93	295	108	10	2,9	0,13	1,99
46	@lore1985	294	108	10	2,9	0,13	1,99
47	@futurmen	294	107	10	2,9	0,13	1,98
48	@ilvacca	295	108	10	2,87	0,13	1,97
49	@casperway	295	108	11	2,86	0,13	1,97
50	@marcolino76	294	106	10	2,9	0,13	1,96
51	@spiceboyz	295	108	10	2,83	0,12	1,95
52	@lenhadora	293	108	11	2,84	0,12	1,95
53	@tosolini	295	107	10	2,78	0,12	1,89
54	@lacremo-it	264	103	11	2,83	0,12	1,86
55	@imcesca	295	108	10	2,35	0,1	1,62
56	@irikefee	262	103	11	2,4	0,11	1,57
57	@ilbarone623	295	108	10	2,19	0,1	1,51
58	@musicteraphy	295	108	11	2,14	0,09	1,47
59	@blitz	178	68	23	2,33	0,1	1,01
60	@steem-id	154	62	1	2,42	0,11	0,96
61	@stea90	53	31	31	4,48	0,2	0,88
62	@steemstem	10	9	21	14,72	0,64	0,84
63	@abigail-dantes	10	9	21	9,09	0,4	0,52
64	@mrliga	295	108	10	0,72	0,03	0,5
65	@justtryme90	10	9	11	8,46	0,37	0,48
66	@luigi-tecnologo	116	71	14	0,83	0,04	0,38
67	@mario15694	263	103	11	0,53	0,02	0,35
68	@giuatt07	15	10	79	5,47	0,24	0,35
69	@anomadsoul	3	3	20	16,42	0,72	0,31
70	@camomilla	299	111	14	0,4	0,02	0,28
71	@acidyo	3	3	12	14,81	0,65	0,28
72	@aboutcoolscience	17	12	74	3,43	0,15	0,26
73	@team	13	12	10	2,99	0,13	0,23
74	@deusjudo	299	109	14	0,3	0,01	0,21
75	@steemitri	28	15	24	2	0,09	0,19
76	@miti	26	10	69	2,99	0,13	0,19
77	@nfelix92	304	115	17	0,25	0,01	0,18
78	@fboccassi	295	108	10	0,25	0,01	0,17
79	@airmatti	19	12	41	2,16	0,09	0,17
80	@altertrader	294	108	10	0,23	0,01	0,16
81	@kushed	177	72	1	0,33	0,01	0,15
82	@paolobeneforti	8	4	80	5,36	0,23	0,14
83	@nawamy	35	32	100	0,66	0,03	0,13
84	@road2horizon	295	107	12	0,17	0,01	0,12
85	@voiceoff	23	16	76	1,2	0,05	0,12
86	@fminerten	1	1	73	17,81	0,78	0,11
87	@mad-runner	299	111	14	0,16	0,01	0,11
88	@kerriknox	10	9	21	1,73	0,08	0,1
89	@ciuoto	298	110	14	0,14	0,01	0,1
90	@sidwaterman	263	103	12	0,15	0,01	0,1
91	@fraswa	265	105	15	0,13	0,01	0,09
92	@lemouth	9	8	17	1,81	0,08	0,09
93	@aditili	298	109	12	0,11	0	0,08
94	@pojo	294	107	14	0,12	0,01	0,08
95	@ocd	3	3	34	3,93	0,17	0,08
96	@kevinwong	4	4	6	3,15	0,14	0,08
97	@mcassani	12	8	75	1,51	0,07	0,08
98	@manu85	264	104	12	0,1	0	0,07
99	@elvisxx71	295	107	12	0,11	0	0,07
100	@kiaazad	25	22	20	0,49	0,02	0,07
101	@cryptofarmer	9	7	100	1,64	0,07	0,07
102	@aniellopas	295	107	11	0,1	0	0,07
103	@fredrikaa	10	9	10	1,19	0,05	0,07
104	@knfitaly	300	111	12	0,1	0	0,07
105	@giornalista	296	109	11	0,1	0	0,07
106	@bubbolo21	296	108	12	0,1	0	0,07
107	@wisher	294	107	12	0,09	0	0,06
108	@rscalabrini	13	11	100	0,82	0,04	0,06
109	@cheftony	5	4	31	2,39	0,1	0,06
110	@demiro86	296	108	11	0,08	0	0,06
111	@steempty	1	1	73	9,91	0,43	0,06
112	@komichian	297	109	12	0,07	0	0,05
113	@enmaart	295	107	11	0,07	0	0,05
114	@niccolini	295	107	11	0,08	0	0,05
115	@suryavoice	293	107	11	0,08	0	0,05
116	@mikepicker	262	103	11	0,08	0	0,05
117	@kryzsec	10	9	21	0,81	0,04	0,05
118	@dominio	295	108	11	0,07	0	0,05
119	@bariski	296	108	11	0,07	0	0,05
120	@rootsengrave	295	108	11	0,07	0	0,05
121	@giu-marcantuono	294	107	11	0,07	0	0,05
122	@isakost	299	112	11	0,07	0	0,05
123	@eliry	262	103	11	0,08	0	0,05
124	@anarchyhasnogods	10	9	10	0,92	0,04	0,05
125	@danbadjar	262	103	11	0,08	0	0,05
126	@eric-boucher	33	26	0	0,3	0,01	0,05
127	@michelios	126	63	0	0,13	0,01	0,05
128	@steeve93	262	103	11	0,08	0	0,05
129	@ecampisi	295	107	12	0,06	0	0,04
130	@grandpere	6	5	32	1,14	0,05	0,04
131	@shaka	3	2	10	2,76	0,12	0,04
132	@davide.vasco	295	107	12	0,06	0	0,04
133	@massimoc23	294	107	11	0,06	0	0,04
134	@daedevils	297	108	12	0,06	0	0,04
135	@intronitro	295	108	10	0,06	0	0,04
136	@sardrt	7	6	8	1,12	0,05	0,04
137	@versusvii	296	108	11	0,06	0	0,04
138	@silviabeneforti	7	3	79	1,47	0,06	0,03
139	@pindol	262	103	11	0,04	0	0,03
140	@alreadytaken	263	103	11	0,04	0	0,03
141	@techchronic	263	103	11	0,04	0	0,03
142	@fulviaperillo	295	107	10	0,05	0	0,03
143	@nfabiola	295	108	12	0,05	0	0,03
144	@bisec	16	13	94	0,33	0,01	0,03
145	@kakaroth	294	108	11	0,04	0	0,03
146	@webdeals	6	2	29	2,13	0,09	0,03
147	@visione	263	103	12	0,05	0	0,03
148	@milenia000	262	103	11	0,04	0	0,03
149	@iwin87	263	103	11	0,04	0	0,03
150	@franky4dita	295	107	10	0,04	0	0,03
151	@etn0	297	109	11	0,04	0	0,03
152	@anb	262	103	11	0,04	0	0,03
153	@axelbong	263	103	11	0,04	0	0,03
154	@mrs.agsexplorer	6	5	13	0,84	0,04	0,03
155	@marketstack	21	17	1	0,29	0,01	0,03
156	@luigiborla	5	3	100	0,93	0,04	0,02
157	@cloudintheocean	296	108	11	0,03	0	0,02
158	@clode	297	109	11	0,03	0	0,02
159	@davinci.times	11	9	100	0,36	0,02	0,02
160	@ceciliagiordano	294	107	11	0,03	0	0,02
161	@donkeypong	1	1	10	3,36	0,15	0,02
162	@lafona-miner	1	1	25	3,72	0,16	0,02
163	@newhope	1	1	14	3,14	0,14	0,02
164	@rubencress	19	18	11	0,14	0,01	0,02
165	@dlenoz	295	107	11	0,03	0	0,02
166	@timsaid	8	7	5	0,47	0,02	0,02
167	@steemotion	21	18	19	0,17	0,01	0,02
168	@koinsquare	295	107	10	0,03	0	0,02
169	@cryptomarketer	294	107	11	0,03	0	0,02
170	@steem.dollar	295	108	11	0,03	0	0,02
171	@g-e-m-i-n-i	294	107	11	0,03	0	0,02
172	@leandro77	295	107	10	0,03	0	0,02
173	@velourex	152	62	1	0,04	0	0,02
174	@altherion	8	7	34	0,34	0,01	0,02
175	@carolineschell	9	8	100	0,34	0,01	0,02
176	@steem.italy	295	108	11	0,01	0	0,01
177	@carloserp-2000	11	10	28	0,12	0,01	0,01
178	@mk40	3	3	73	0,45	0,02	0,01
179	@analisa	1	1	10	1,17	0,05	0,01
180	@kenadis	10	9	21	0,14	0,01	0,01
181	@nitesh9	10	9	21	0,13	0,01	0,01
182	@anitram	295	107	10	0,01	0	0,01
183	@dexterdev	10	9	21	0,09	0	0,01
184	@de-stem	10	9	14	0,14	0,01	0,01
185	@gra	10	9	21	0,19	0,01	0,01
186	@davinci.witness	11	9	100	0,12	0,01	0,01
187	@slowwalker	1	1	5	1,83	0,08	0,01
188	@danielgiac79	2	1	100	1,44	0,06	0,01
189	@francesca16	295	108	10	0,02	0	0,01
190	@gekents	262	103	11	0,01	0	0,01
191	@project-exodus	6	2	58	0,5	0,02	0,01
192	@adriatik	2	2	9	0,47	0,02	0,01
193	@btcvenom	1	1	100	0,93	0,04	0,01
194	@robertomarinello	295	107	10	0,02	0	0,01
195	@iamunframed	10	4	100	0,2	0,01	0,01
196	@lamouthe	10	9	21	0,13	0,01	0,01
197	@bp9930	15	15	50	0,15	0,01	0,01
198	@jonny90	2	2	100	1,03	0,05	0,01
199	@bafi	6	5	100	0,3	0,01	0,01
200	@steemprentice	11	9	3	0,11	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	@buildawhale	3	3	15	88,14	3,86	1,68
2	@smartsteem	2	2	23	118,68	5,2	1,51
3	@upme	2	2	16	55,33	2,42	0,7
4	@appreciator	2	2	14	48,06	2,11	0,61
5	@rocky1	2	2	6	20,9	0,92	0,27
6	@postpromoter	1	1	5	17,23	0,75	0,11
7	@therising	2	2	4	5	0,22	0,06
8	@jerrybanfield	1	1	10	5,51	0,24	0,04
9	@minnowsupport	12	7	0	0,8	0,04	0,04
10	@upmyvote	1	1	9	4,18	0,18	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 Steemitt.

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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.