TOP 200 effective Steemit curators in ITA category for the last week (2018.07.16-2018.07.22)

boddhisattva (79)in #bisteemit • 6 years ago

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

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	853	3138	10444	2,324
2	spanish	1291	2686	5201	1,157
3	deutsch	299	901	2594	0,577
4	cn	187	576	2242	0,499
5	ita	93	259	2126	0,473
6	tr	184	520	1693	0,377
7	japanese	119	348	1666	0,371
8	india	68	132	1339	0,298
9	fr	78	197	1152	0,256
10	pt	96	286	1147	0,255
11	polish	188	395	1046	0,233
12	stemng	20	24	902	0,201
13	indonesia	338	791	860	0,192
14	stem-espanol	28	30	858	0,191
15	japan	21	41	701	0,156

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.

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.

93 authors published their posts during this week.

2557 accounts participated in the content curating according to information from the database.

35711 votes were made during this week.

2116,17 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	@lafona-miner	61	44	78	329,07	15,55	155,69
2	@enlil	57	40	67	201,08	9,5	86,49
3	@hendrikdegrote	135	46	1	134,96	6,38	66,75
4	@steempostitalia	57	40	84	140,48	6,64	60,42
5	@tizswa	165	53	26	24,37	1,15	13,89
6	@thenightflier	154	53	20	17,55	0,83	10
7	@tombstone	92	39	0	22,8	1,08	9,56
8	@utopian-io	6	6	6	121,75	5,75	7,85
9	@gianluccio	176	60	29	11,92	0,56	7,69
10	@drago18121996	166	54	28	11,03	0,52	6,4
11	@curie	135	46	1	12,01	0,57	5,94
12	@hr1	94	48	0	10,78	0,51	5,56
13	@alinakot	154	54	19	9,07	0,43	5,27
14	@marcodobrovich	154	54	19	8,54	0,4	4,96
15	@heidi71	176	64	34	7,17	0,34	4,93
16	@zaragast	154	54	24	8,3	0,39	4,82
17	@stella87s	157	55	24	7,55	0,36	4,47
18	@themadicine	154	54	19	6,29	0,3	3,65
19	@kevinwong	92	39	0	8,44	0,4	3,54
20	@mondodidave73	178	61	32	5,31	0,25	3,48
21	@bhuz	8	2	95	160,94	7,61	3,46
22	@martaorabasta	154	54	19	5,68	0,27	3,3
23	@noemilunastorta	156	55	19	5,46	0,26	3,23
24	@nicola71	188	63	24	4,67	0,22	3,16
25	@wackou	82	38	0	7,71	0,36	3,15
26	@djluka14	154	53	28	4,89	0,23	2,79
27	@road2horizon	171	61	32	4,05	0,19	2,66
28	@vact	135	46	1	4,99	0,24	2,47
29	@gabriele-gio	155	55	20	3,97	0,19	2,35
30	@serialfiller	176	65	35	3,28	0,15	2,29
31	@john-gpr	154	54	19	3,89	0,18	2,26
32	@girolamomarotta	172	60	25	3,48	0,16	2,25
33	@dexpartacus	169	58	26	3,24	0,15	2,02
34	@mad-runner	175	62	32	2,78	0,13	1,85
35	@deusjudo	162	58	35	2,6	0,12	1,62
36	@sciack	184	62	22	2,43	0,11	1,62
37	@demiro86	157	54	28	2,75	0,13	1,6
38	@isakost	163	59	31	2,44	0,12	1,55
39	@profumodimare	154	54	21	2,54	0,12	1,47
40	@sarabelardo	156	54	23	2,4	0,11	1,39
41	@moncia90	163	57	27	2,2	0,1	1,35
42	@giuatt07	45	17	32	7,18	0,34	1,31
43	@enmaart	155	54	20	2,22	0,1	1,29
44	@steemstem	8	8	21	14,8	0,7	1,27
45	@charlesx	154	53	19	2,21	0,1	1,26
46	@abramjs	154	54	19	2,13	0,1	1,24
47	@andreaderrico	154	54	19	2,11	0,1	1,23
48	@marcolino76	154	54	19	2,1	0,1	1,22
49	@bafi	154	53	20	2,13	0,1	1,21
50	@imcesca	159	57	20	1,94	0,09	1,19
51	@pataxis	154	54	19	2,03	0,1	1,18
52	@pablito	154	54	19	2,03	0,1	1,18
53	@anwenbaumeister	135	46	1	2,39	0,11	1,18
54	@voghera	156	56	21	1,88	0,09	1,13
55	@tosolini	156	54	21	1,93	0,09	1,12
56	@ilvacca	154	54	19	1,82	0,09	1,06
57	@spiceboyz	154	53	20	1,86	0,09	1,06
58	@blockchain360	154	54	19	1,81	0,09	1,05
59	@niccolini	158	55	33	1,76	0,08	1,04
60	@stea90	68	24	21	3,94	0,19	1,02
61	@fulviaperillo	156	53	20	1,79	0,08	1,02
62	@mirkon86	154	54	19	1,75	0,08	1,02
63	@blitz	130	41	35	2,23	0,11	0,98
64	@mrliga	154	54	19	1,68	0,08	0,98
65	@camomilla	154	54	19	1,41	0,07	0,82
66	@followbtcnews	94	39	1	1,93	0,09	0,81
67	@phage93	171	60	33	1,23	0,06	0,79
68	@alexzicky	108	50	12	1,34	0,06	0,72
69	@justtryme90	8	8	21	7,17	0,34	0,62
70	@metmuseum	127	46	2	1,23	0,06	0,61
71	@abigail-dantes	8	8	21	6,22	0,29	0,54
72	@fboccassi	155	55	19	0,9	0,04	0,53
73	@suryavoice	153	54	19	0,89	0,04	0,52
74	@massivevibration	133	45	5	1,03	0,05	0,5
75	@roelandp	35	23	1	1,9	0,09	0,47
76	@ciuoto	172	63	35	0,57	0,03	0,39
77	@pawpawpaw	182	64	43	0,55	0,03	0,38
78	@aditili	154	54	19	0,63	0,03	0,37
79	@voiceoff	31	19	56	1,53	0,07	0,31
80	@steemitri	34	15	24	1,88	0,09	0,3
81	@giornalista	170	59	32	0,47	0,02	0,3
82	@massimoc23	166	55	27	0,51	0,02	0,3
83	@ageeksdiary	164	53	28	0,5	0,02	0,28
84	@nawamy	44	29	100	0,88	0,04	0,27
85	@frafiomatale	161	58	26	0,44	0,02	0,27
86	@g-e-m-i-n-i	155	55	22	0,42	0,02	0,25
87	@liberosist	119	42	1	0,51	0,02	0,23
88	@pojo	154	53	22	0,39	0,02	0,22
89	@davidding	1	1	100	18,03	0,85	0,19
90	@airmatti	43	9	22	1,87	0,09	0,18
91	@zipsardinia	68	20	38	0,78	0,04	0,17
92	@matt-a	2	1	78	15,32	0,72	0,16
93	@misia1979	160	58	27	0,23	0,01	0,14
94	@lemouth	8	8	20	1,58	0,07	0,14
95	@gruntu	155	54	21	0,24	0,01	0,14
96	@thelastlips	157	55	27	0,23	0,01	0,14
97	@newhope	2	2	17	5,93	0,28	0,13
98	@phlatattak	2	2	100	5,96	0,28	0,13
99	@ivand83	154	54	19	0,21	0,01	0,12
100	@franky4dita	154	54	19	0,21	0,01	0,12
101	@team	8	8	10	1,38	0,07	0,12
102	@lacremo-it	154	54	19	0,21	0,01	0,12
103	@esteemapp	4	2	3	5,75	0,27	0,12
104	@knfitaly	25	15	79	0,77	0,04	0,12
105	@acquarius30	165	59	29	0,18	0,01	0,11
106	@ssin	2	1	100	9,17	0,43	0,1
107	@aboutcoolscience	10	8	39	1,2	0,06	0,1
108	@lorenzopistolesi	154	54	19	0,17	0,01	0,1
109	@giu-marcantuono	154	53	19	0,16	0,01	0,09
110	@koinsquare	154	53	19	0,16	0,01	0,09
111	@davide.vasco	156	54	22	0,15	0,01	0,09
112	@bariski	154	54	19	0,16	0,01	0,09
113	@elvisxx71	154	53	19	0,16	0,01	0,09
114	@honarparvar	38	22	15	0,38	0,02	0,09
115	@fredrikaa	8	8	21	1,05	0,05	0,09
116	@leandro77	153	54	19	0,16	0,01	0,09
117	@kikka190389	154	54	19	0,14	0,01	0,08
118	@aniellopas	153	54	19	0,14	0,01	0,08
119	@tamon	157	55	22	0,14	0,01	0,08
120	@giuseppemasala	154	54	19	0,14	0,01	0,08
121	@viperblckz	155	53	22	0,14	0,01	0,08
122	@petrolinivideo	157	56	19	0,14	0,01	0,08
123	@bramd	1	1	50	7,17	0,34	0,08
124	@versusvii	154	54	19	0,13	0,01	0,08
125	@criptomabilia	155	55	21	0,11	0,01	0,07
126	@luigi-tecnologo	55	33	10	0,19	0,01	0,07
127	@mobbs	4	4	65	1,57	0,07	0,07
128	@anitram	155	55	20	0,1	0	0,06
129	@cryptoitaly	28	17	38	0,35	0,02	0,06
130	@good-karma	4	2	3	2,57	0,12	0,06
131	@streaming	7	3	100	1,94	0,09	0,06
132	@etn0	169	55	26	0,1	0	0,06
133	@anomadsoul	1	1	25	5,72	0,27	0,06
134	@amico	25	14	28	0,37	0,02	0,06
135	@michalx2008x	9	3	11	1,93	0,09	0,06
136	@aicurator	2	2	32	2,15	0,1	0,05
137	@jesseluther	4	4	81	1,08	0,05	0,05
138	@herodirock	154	54	19	0,09	0	0,05
139	@rscalabrini	10	8	100	0,58	0,03	0,05
140	@thabiggdogg	14	11	50	0,42	0,02	0,05
141	@frask14	154	54	19	0,08	0	0,05
142	@eric-boucher	73	35	0	0,14	0,01	0,05
143	@xaero1	1	1	14	4,51	0,21	0,05
144	@ixion89	154	53	20	0,09	0	0,05
145	@sardrt	10	8	4	0,54	0,03	0,05
146	@marcuz	154	54	19	0,07	0	0,04
147	@martacantatore	154	54	19	0,07	0	0,04
148	@orontius	154	53	19	0,07	0	0,04
149	@sndbox	4	4	1	1,01	0,05	0,04
150	@marielladeg	154	54	19	0,07	0	0,04
151	@andreaminaldo	154	54	19	0,07	0	0,04
152	@clode	154	54	19	0,07	0	0,04
153	@howo	8	8	10	0,44	0,02	0,04
154	@dineroconopcion	1	1	100	4,12	0,19	0,04
155	@anedo	154	54	19	0,07	0	0,04
156	@davinci.witness	10	8	100	0,45	0,02	0,04
157	@nfabiola	154	54	19	0,07	0	0,04
158	@ispira	154	54	19	0,07	0	0,04
159	@cryptomarketer	154	54	19	0,07	0	0,04
160	@giocondo83	154	54	19	0,07	0	0,04
161	@giulianomlodi	154	54	19	0,07	0	0,04
162	@thegreenfox	154	54	19	0,07	0	0,04
163	@thesonnyboy	154	54	19	0,07	0	0,04
164	@anarchyhasnogods	8	8	8	0,48	0,02	0,04
165	@tati0808	154	54	19	0,07	0	0,04
166	@creativecrypto	4	4	10	0,96	0,05	0,04
167	@ecampisi	154	54	19	0,07	0	0,04
168	@chabertonvideo	154	54	19	0,07	0	0,04
169	@steembasicincome	2	1	34	2,63	0,12	0,03
170	@danbadjar	16	15	100	0,16	0,01	0,03
171	@donkeypong	1	1	10	3,11	0,15	0,03
172	@danielgiac79	3	2	100	1,41	0,07	0,03
173	@davinci.times	10	8	100	0,39	0,02	0,03
174	@misha	14	12	100	0,21	0,01	0,03
175	@ninjace	20	15	50	0,2	0,01	0,03
176	@pi50000	1	1	100	2,8	0,13	0,03
177	@gavvet	4	1	2	2,6	0,12	0,03
178	@alexis555	1	1	20	3,03	0,14	0,03
179	@komichian	153	54	18	0,06	0	0,03
180	@tincho	1	1	100	2,53	0,12	0,03
181	@geoffrey	1	1	100	3,22	0,15	0,03
182	@therealwolf	1	1	100	2,36	0,11	0,03
183	@kamikaze	1	1	76	2,44	0,12	0,03
184	@anouk.nox	25	21	11	0,08	0	0,02
185	@ediya	1	1	100	1,46	0,07	0,02
186	@paolobeneforti	2	1	100	1,43	0,07	0,02
187	@kryzsec	8	8	21	0,24	0,01	0,02
188	@bue	6	6	100	0,35	0,02	0,02
189	@miti	8	5	26	0,32	0,02	0,02
190	@jeff747	3	2	67	0,96	0,05	0,02
191	@seer	1	1	100	1,67	0,08	0,02
192	@lebin	2	1	100	1,97	0,09	0,02
193	@mahdiyari	8	8	10	0,25	0,01	0,02
194	@truthtrader	2	2	100	0,79	0,04	0,02
195	@thevenusproject	8	8	21	0,22	0,01	0,02
196	@altertrader	154	54	19	0,03	0	0,02
197	@happyro19	1	1	100	1,53	0,07	0,02
198	@kr-coffeesteem	1	1	46	1,59	0,08	0,02
199	@dber	8	8	21	0,25	0,01	0,02
200	@phoneinf	4	1	100	1,97	0,09	0,02

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	@upme	3	3	20	79,95	3,78	2,58
2	@therising	4	4	11	37,97	1,79	1,63
3	@rocky1	4	4	5	28,36	1,34	1,22
4	@smartsteem	4	2	5	54,92	2,6	1,18
5	@boomerang	3	3	15	24,13	1,14	0,78
6	@appreciator	1	1	28	69,57	3,29	0,75
7	@minnowbooster	2	1	35	39,3	1,86	0,42
8	@tipu	3	2	15	19,21	0,91	0,41
9	@upmewhale	1	1	29	25,44	1,2	0,27
10	@buildawhale	1	1	11	19,5	0,92	0,21
11	@jerrybanfield	2	2	5	5,79	0,27	0,12
12	@mercurybot	4	1	29	7,7	0,36	0,08
13	@minnowsupport	8	6	1	0,41	0,02	0,03
14	@lays	1	1	70	1,42	0,07	0,02
15	@brupvoter	1	1	21	1,47	0,07	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.

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