Twitter People - Roussie

  • Adygeya
  • Altay
  • Altayskiy
  • Amur
  • Arkhangelskaya
  • Astrakhan
  • Bashkortostan
  • Belgorod
  • Brjansk
  • Buryatiya
  • Chechnya
  • Chelyabinsk Oblast
  • Chukotskiy Avtonomnyy Okrug
  • Chuvashia
  • Dagestan
  • Ingushetiya
  • Irkutsk
  • Ivanovo
  • Jaroslavl
  • Jewish Autonomous Oblast
  • Kabardino-Balkariya
  • Kaliningrad
  • Kalmykiya
  • Kaluga
  • Kamtsjatka
  • Karachayevo-Cherkesiya
  • Kareliya
  • Kemerovo
  • Khabarovsk Krai
  • Khakasiya
  • Khanty-Mansiyskiy Avtonomnyy Okrug
  • Kirov
  • Komi
  • Kostroma
  • Krasnodarskiy
  • Krasnoyarskiy
  • Kurgan
  • Kursk
  • Leningrad
  • Lipetsk
  • Magadan
  • Mariy-El
  • Mordoviya
  • Moscow
  • Moskovskaya
  • Murmansk
  • Nenetskiy Avtonomnyy Okrug
  • Nizjnij Novgorod
  • North Ossetia
  • Novgorod
  • Novosibirsk
  • Omsk
  • Orenburg
  • Orjol
  • Penza
  • Perm
  • Primorskiy
  • Pskov
  • Rjazan
  • Rostov
  • Sakha
  • Sakhalin
  • Samara
  • Saratov
  • Smolensk
  • St.-Petersburg
  • Stavropol'skiy
  • Sverdlovsk
  • Tambov
  • Tatarstan
  • Tjumen
  • Tomsk
  • Tula
  • Tverskaya
  • Tyva
  • Udmurtiya
  • Uljanovsk
  • Vladimir
  • Volgograd
  • Vologda
  • Voronezj
  • Yamalo-Nenetskiy Avtonomnyy Okrug
  • Zabaykal’skiy Kray

Total: 75

  # PROFILE POPULARITY # RTS PER TWEET (LAST 7 DAYS) ranking
No variation 1 Edward Snowden @Snowden 3,839,521 1,198

79

No variation 2 Alexei Navalny / Алексе́й Анато́льевич Нава́льный @navalny 2,234,788 445

76

Up 3 Владимир Путин @PutinRF 2,356,498 157

71

Down 4 Vladimir Putin (english) @PutinRF_Eng 931,393 346

71

No variation 5 Garry Kasparov @Kasparov63 427,507 198

70

No variation 6 Dmitry Medvedev / Дмитрий Медведев @MedvedevRussiaE 1,127,028 53

69

No variation 7 Dmitry Rogozin @Rogozin 896,237 89

68

No variation 8 Alexander Gerst @Astro_Alex 1,095,737 94

68

No variation 9 Dima Bilan @BilanOfficial 1,568,210 27

67

No variation 10 Pavel Volya @RealVolya 4,999,969 8

66

No variation 11 Nyusha / Ню́ша Влади́мировна Шу́рочкина) @Nyusha_Nyusha 1,809,243 12

65

No variation 12 Ilya Varlamov / Илья Варламов @varlamov 275,844 13

63

Up 13 Oleg Tinkov @olegtinkov 233,681 34

62

Down 14 Irina Shayk @theirishayk 714,417 15

62

Down 15 Elena Sergeevna Vesnina / Елена Сергеевна Веснина @EVesnina001 255,701 34

62

No variation 16 Yana Rudkovskaya @yanarudkovskaya 985,236 5

62

No variation 17 Reinhard Bonnke @ReinhardBonnke 222,161 19

60

No variation 18 Николай Стариков @nstarikov 71,381 66

60

No variation 19 Vitaly Petrov @vitalypetrov 255,589 7

60

No variation 20 Pavel Durov @durov 1,551,985 0

59

Alianzo glossary

Useful definitions to understand the concepts we use. Alianzo counts with three measuring systems.:

1- Alianzo Score

Alianzo Score is a value between 0 and 100 which is the result of the measurement parameters used by Alianzo in each of the profiles. These parameters try to measure the engagement and the activity of each social network.

Alianzo score is calculated for each type of social media and for each type of profile.

In addition, the Global Alianzo Score is calculated and displayed in the Alianzo Rank section. This score is calculated by adding the score given to each of the social networks weighted by the importance attached by Alianzo to each social network.

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2- Alianzo Stars

Alianzo Stars is the assessment done from Alianzo for every profile. It takes into account its score on Alianzo Score 2.0. It is calculated as follows:

  • Five yellow stars grade the highest score possible, which is 100. This profile will be the number one of its ranking.
  • Five green stars grade the profiles that score between 80 and 99.
  • Four green stars grade those profiles that score between 60 and 79.
  • Three green stars grade those profiles that score between 40 and 59.
  • Two green stars encompass those profiles that score between 20 and 39.
  • One green star is used for those profiles with a score between 0 and 19.
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3- Alianzo Rank

In Alianzo, rankings are conformed by profiles sorted according to their score in Alianzo 2.0, sorted from highest to lowest. These profiles are calculated for social network and kind of profile.

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