Kremlin Trolls: Top First Order Following beyond Graham_WP’s Reciprocal Network

This abstract enjoys networking and Twitter. Recently it came upon an interesting blog post (accessible here) about a Twitter account of interest: @Graham_WP.

The article briefly examines reciprocal relationships which exist between this account and accounts which appear to be part of a so called ‘Kremlin Troll’ network. It carefully pointed out that whilst the interpretation of accounts being ‘Kremlin Trolls’ is to a degree up to the reader, the reciprocal relationships are significant as they allow direct messaging and perhaps reflect an affinity between the accounts which are engaged.

This abstract decided to take a look itself, and wanted to examine the outbound links of this reciprocal network, to see who it as a whole was following, and what the order of popularity of the accounts being followed by the network was.

The interpretation of the results is of course up to the reader, but shared common follows by the group – even if they are not reciprocal – should give an insight into deeper common values shared across the network as a whole. Indicated also may be those accounts which could have more of an influence on the reciprocal network as a whole.

The details were snapshot in early April 2015.

The total number of accounts in the reciprocal network was: 52

The reciprocal network at this time was following 52,627 accounts in total.

The following are the top 100 accounts in order of popularity followed by members of the reciprocal network:

Followed Account Total In Network Following %’age of Network
@marcelsardo 39 75.0%
@Novorossiyan 38 73.1%
@RT_com 38 73.1%
@cy80s 36 69.2%
@russian_market 36 69.2%
@SputnikInt 35 67.3%
@ValLisitsa 35 67.3%
@NinaByzantina 34 65.4%
@AntiMaydanUA 33 63.5%
@Mukha_Kaloev 33 63.5%
@varyagi 33 63.5%
@AndreyPanevin 32 61.5%
@AntimaidanENG 32 61.5%
@GogiGogi12 32 61.5%
@JenniferCohagen 32 61.5%
@MarkSleboda1 32 61.5%
@RussiaInsider 32 61.5%
@verafilatova 32 61.5%
@Black_Bomb 31 59.6%
@Catherina_News 31 59.6%
@EnaLolena 31 59.6%
@homo_viator 31 59.6%
@NadezhdaAle 31 59.6%
@Hermius1 30 57.7%
@mfa_russia 30 57.7%
@Slavianushka 30 57.7%
@DenisPushilin 29 55.8%
@KremlinRussia_E 29 55.8%
@Loveussr 29 55.8%
@robinmonotti 29 55.8%
@DrMarcusP 28 53.8%
@DrPavelSlavenko 28 53.8%
@JPexsquaddie 28 53.8%
@LuhanskRepublic 28 53.8%
@OlgaNTT 28 53.8%
@RenieriArts 28 53.8%
@RussianUniverse 28 53.8%
@southfronteng 28 53.8%
@tassagency_en 28 53.8%
@wavetossed 28 53.8%
@wikileaks 28 53.8%
@P1R5V8rH 27 51.9%
@theLemniscat 27 51.9%
@UkrToday 27 51.9%
@VKofSEVASTOPOL 27 51.9%
@A_J_S_B 26 50.0%
@Adam1Baum 26 50.0%
@ilyushin76 26 50.0%
@IrinaGalushkoRT 26 50.0%
@MeaganMacha 26 50.0%
@SerboCanada 26 50.0%
@StirringTrouble 26 50.0%
@strelkov_info 26 50.0%
@SuchanVladimir 26 50.0%
@_I330 25 48.1%
@aleksiskander 25 48.1%
@dnrpress 25 48.1%
@EmeraudeALB 25 48.1%
@MFinoshina_RT 25 48.1%
@NZSarvo 25 48.1%
@PatrickECooley 25 48.1%
@Ruptly 25 48.1%
@SNalobin 25 48.1%
@haloefekti 24 46.2%
@NOVORUSSIA2015 24 46.2%
@rougek68 24 46.2%
@SputnikNewsUS 24 46.2%
@BanderaTrash 23 44.2%
@coldwar20_en 23 44.2%
@Ian56789 23 44.2%
@JackMarsman 23 44.2%
@jasonsmith7080 23 44.2%
@JohnDelacour 23 44.2%
@kp_steshin 23 44.2%
@ProfessorsBlogg 23 44.2%
@PutinRF_Eng 23 44.2%
@RT_America 23 44.2%
@SgforgoodStella 23 44.2%
@steve_henley 23 44.2%
@ultimateOne 23 44.2%
@algator2 22 42.3%
@BurtRambeau 22 42.3%
@ChristophHeer52 22 42.3%
@DissidentView 22 42.3%
@DMeralles 22 42.3%
@EgoRZemtsoV 22 42.3%
@idaltae 22 42.3%
@leon_elk 22 42.3%
@myrevolutionrus 22 42.3%
@Narwhal8915 22 42.3%
@NeilClark66 22 42.3%
@NovorossiaNews 22 42.3%
@pmsxa 22 42.3%
@PressTV 22 42.3%
@PutinPolitics 22 42.3%
@sashakots 22 42.3%
@sbobkov 22 42.3%
@VagelisKarmiros 22 42.3%
@wmk2u 22 42.3%
@actionScript3 21 42.3%

As with the composition of the network itself, the network’s most popular follows do include an interesting mix of media sources which are themselves noteworthy.

Update:

A diagram of the follows from the relevant subset of the reciprocal network to the above accounts is available in pdf here:

Graham_WP_ReciprocalNetwork_100TopFollows_20140413

Color code:

Gray: Source accounts (Reciprocal Network)

Red / Pink: Target accounts (Outside Reciprocal Network)

Red: >= 30 connections, Pink / Gray: < 30 connections

Blue edges indicate connections to targets with >= 30 connections

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