antivaxx, Twitter, 2/11/2023 4:10:07 PM, 289158


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antivaxx_2023-02-11_08-00-01.xlsx
antivaxx_2023-02-11_08-00-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 11, 2023
Short Description:
antivaxx via NodeXL https://bit.ly/3IhsxgP
@erikloridan
@healthbyjames
@jeremyfoubert1
@robertkennedyjr
@marionkoopmans
@robdanpistov
@draseemmalhotra
@thereal_truther
@vanityunfair
@hansel21_

Top hashtags:
#antivaxx
#vaccine
#covid19
#infodemic
#antivax
#covid

Description:
Description
The graph represents a network of 6,791 Twitter users whose recent tweets contained "antivaxx", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 16:04 UTC.

The tweets in the network were tweeted over the 1357-day, 23-hour, 57-minute period from Saturday, 25 May 2019 at 00:57 UTC to Saturday, 11 February 2023 at 00:54 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 6791
Unique Edges : 4153
Edges With Duplicates : 12881
Total Edges : 17034
Number of Edge Types : 9
Retweet : 3008
MentionsInRetweet : 3458
Replies to : 2598
MentionsInReplyTo : 6770
Quote : 188
Tweet : 628
Mentions : 203
MentionsInQuote : 61
MentionsInQuoteReply : 120
Self-Loops : 964
Reciprocated Vertex Pair Ratio : 0.0550774526678141
Reciprocated Edge Ratio : 0.104404567699837
Connected Components : 810
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 3993
Maximum Edges in a Connected Component : 11675
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.554507
Graph Density : 0.000199410594764057
Modularity : 0.503269
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,791 Twitter users whose recent tweets contained "antivaxx", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 16:04 UTC.

The tweets in the network were tweeted over the 1357-day, 23-hour, 57-minute period from Saturday, 25 May 2019 at 00:57 UTC to Saturday, 11 February 2023 at 00:54 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : antivaxx
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[46] https://twitter.com/JSpangberg/status/1623042134193410071/video/1
[19] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/
[6] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/?adid=share-tw
[5] https://twitter.com/Food4ears/status/1621851966082060288/photo/1
[5] https://www.doctissimo.fr/sante/maladies/virus-emergents/covid-19/vaccins/covid-19-vers-une-dose-chaque-annee-pour-les-plus-fragiles/e29fac_ar.html
[5] https://twitter.com/TPMP/status/1620546764485918720
[4] https://www.williamquincybelle.com/2022/02/covid-what-if-us-was-like-canada.html
[4] https://twitter.com/NataliaAlGhoul/status/1622948567886471168/photo/1
[4] https://www.codastory.com/newsletters/bbc-antivaxx-guest/
[4] https://twitter.com/RJKoughie/status/1620728869069418496/photo/1

Top URLs in Tweet in G1:
[1] https://twitter.com/RobertKennedyJr/status/1619070787994140673
[1] https://france3-regions.francetvinfo.fr/bourgogne-franche-comte/cote-d-or/beaune/acouphenes-et-vaccins-contre-le-covid-l-oms-confirme-un-lien-mais-pour-les-victimes-les-choses-n-avancent-pas-2524148.html

Top URLs in Tweet in G2:
[4] https://twitter.com/ABridgen/status/1622482813382426624/photo/1
[3] https://twitter.com/_johnbye/status/1621246657626079232/photo/1
[2] https://twitter.com/healthbyjames/status/1620498305771012096
[2] https://twitter.com/KAOS8688/status/1624007068553482243/photo/1
[2] https://twitter.com/HiddenPinky/status/1620887492403810306/photo/1
[1] https://twitter.com/realstewpeters/status/1622457629199982598/video/1
[1] https://twitter.com/realstewpeters/status/1621266102322925569/video/1
[1] https://twitter.com/realstewpeters/status/1622255095755702272/video/1
[1] https://twitter.com/IanCopeland5/status/1620255705612845056
[1] https://twitter.com/i/spaces/1nAJErkBbqAxL

Top URLs in Tweet in G3:
[4] https://twitter.com/DebunkMoutarde/status/1623581783215284224/photo/1
[4] https://twitter.com/DebunkMoutarde/status/1622002712542838785/photo/1
[4] https://twitter.com/TPMP/status/1620546764485918720
[4] https://www.doctissimo.fr/sante/maladies/virus-emergents/covid-19/vaccins/covid-19-vers-une-dose-chaque-annee-pour-les-plus-fragiles/e29fac_ar.html
[4] https://twitter.com/Eric_Lecomte_/status/1621841004721496072?t=iWYFPXxCdZdzDGwjCH7T1Q&s=19
[3] https://twitter.com/CMantenac/status/1621273845456830464/photo/1
[3] https://twitter.com/Eric_Lecomte_/status/1621841004721496072?t=xk09eGMf4p5mFZ6okYSEeg&s=19
[2] https://twitter.com/TPMP/status/1620547824739045378
[2] https://twitter.com/amine_umlil/status/1621804157622427648
[2] https://twitter.com/TPMP/status/1620547824739045378/video/1

Top URLs in Tweet in G4:
[1] https://misinformationkills.substack.com/p/the-pandemic-profiteers?utm_campaign=auto_share
[1] https://www.youtube.com/watch?v=5wRDLf54Scs

[1] https://twitter.com/MarionKoopmans/status/1622139272085086208

Top URLs in Tweet in G5:
[2] https://twitter.com/SariellaForever/status/1620500206717669376/photo/1
[1] https://twitter.com/SSZ1967/status/1621651734861959169/video/1
[1] https://twitter.com/reacharoundu/status/1623870984225984512/photo/1
[1] https://twitter.com/reacharoundu/status/1623999195500916736/photo/1
[1] https://twitter.com/SariellaForever/status/1620500976062062592/photo/1

Top URLs in Tweet in G6:
[9] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/
[4] https://www.williamquincybelle.com/2022/02/covid-what-if-us-was-like-canada.html
[3] https://twitter.com/ThisBeSpitfire/status/1622283621582405632/photo/1
[2] https://www.codastory.com/newsletters/bbc-antivaxx-guest/
[2] https://twitter.com/LustrousLynx/status/1621933724404162561/photo/1
[1] https://twitter.com/XStands4Ten/status/1622852313089204224/photo/1
[1] https://twitter.com/wokeworldorder_/status/1621135874791739395/video/1
[1] https://twitter.com/wokeworldorder_/status/1620497769776697346/video/1
[1] https://twitter.com/belovdbee/status/1622316554640654337
[1] https://twitter.com/i/spaces/1MnxnpXQoldGO

Top URLs in Tweet in G7:
[3] https://twitter.com/DoubleDownNews/status/1623679424729161729
[2] https://twitter.com/AlastairMcA30/status/1618295784277159937
[1] https://twitter.com/todayshow/status/1623676368390086659
[1] https://twitter.com/saffiya_khan1/status/1621885491615305728
[1] https://twitter.com/hixsec/status/1623987194208702465
[1] https://www.mediaite.com/tv/watch-operation-warp-speed-chief-says-he-has-no-idea-what-trumps-vaccine-executive-order-actually-does/
[1] https://www.instagram.com/reel/CXhYcPFFvcB/?utm_medium=share_sheet
[1] https://twitter.com/Die__Trying_/status/1622818359795412992/photo/1
[1] https://www.newsweek.com/its-time-scientific-community-admit-we-were-wrong-about-coivd-it-cost-lives-opinion-1776630
[1] https://twitter.com/AlastairMcA30/status/1619733957234561025/photo/1

Top URLs in Tweet in G8:
[46] https://twitter.com/JSpangberg/status/1623042134193410071/video/1
[4] https://twitter.com/notcapnamerica/status/1621350799442956288/photo/1
[1] https://twitter.com/DrLoupis/status/1620932452767207426/photo/1
[1] https://twitter.com/DrLoupis/status/1621197353351872513/video/1
[1] https://twitter.com/samhallsmelodin/status/1622926320693919744
[1] https://brownstone.org/articles/cdc-lied-mrna-not-meant-to-stay-in-arm/
[1] https://www.epochtimes.se/Allvarliga-fel-i-vaccinproduktion---Lakemedelsverket-blundar-568601
[1] https://twitter.com/ValerieEBradley/status/1621360315270135808/photo/1
[1] https://twitter.com/notcapnamerica/status/1621350799442956288
[1] https://twitter.com/DrLoupis/status/1620932452767207426

Top URLs in Tweet in G10:
[3] https://twitter.com/Jollyra32691822/status/1623093170400526336/photo/1
[2] https://twitter.com/davidjthunder/status/1620009142261002243
[1] https://twitter.com/DVATW/status/1621412801137836033/photo/1
[1] https://www.youtube.com/watch?v=7WVaWqY87B0&feature=youtu.be

[1] https://twitter.com/DrSusanOliver1/status/1620348162996314112
[1] https://twitter.com/Lrover16/status/1623398531364016130/photo/1
[1] https://www.youtube.com/watch?v=MLdw4stSgNU

[1] https://twitter.com/DrAseemMalhotra/status/1619943713874259974/video/1
[1] https://twitter.com/denise_dewald/status/1620812447677571073/photo/1
[1] https://twitter.com/RonFilipkowski/status/1623154168692195328/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[870] twitter.com
[26] tmz.com
[14] youtube.com
[8] substack.com
[5] doctissimo.fr
[4] williamquincybelle.com
[4] nature.com
[4] codastory.com
[4] sciencebasedmedicine.org
[4] francetvinfo.fr

Top Domains in Tweet in G1:
[1] twitter.com
[1] francetvinfo.fr

Top Domains in Tweet in G2:
[113] twitter.com
[3] substack.com
[2] forbes.com
[2] childrenshealthdefense.org
[2] youtube.com
[1] nejm.org
[1] nature.com
[1] ourworldindata.org
[1] hhs.gov
[1] nih.gov

Top Domains in Tweet in G3:
[118] twitter.com
[4] doctissimo.fr
[2] youtube.com
[1] europe1.fr
[1] prismamedia.com
[1] francetvinfo.fr
[1] charlottek.fr
[1] vk.com
[1] ina.fr
[1] deliberatio.eu

Top Domains in Tweet in G4:
[1] substack.com
[1] youtube.com
[1] twitter.com

Top Domains in Tweet in G5:
[6] twitter.com

Top Domains in Tweet in G6:
[40] twitter.com
[10] tmz.com
[4] williamquincybelle.com
[2] youtube.com
[2] codastory.com
[1] apnews.com
[1] doppagne.net
[1] svt.se
[1] nytimes.com
[1] tiktok.com

Top Domains in Tweet in G7:
[19] twitter.com
[1] mediaite.com
[1] instagram.com
[1] newsweek.com
[1] paypal.com
[1] patreon.com
[1] doubledown.news
[1] thegatewaypundit.com

Top Domains in Tweet in G8:
[61] twitter.com
[1] brownstone.org
[1] epochtimes.se
[1] mdpi.com
[1] svd.se
[1] rumble.com
[1] lakemedelsverket.se

Top Domains in Tweet in G10:
[17] twitter.com
[2] youtube.com
[1] medpagetoday.com
[1] statnews.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[134] antivaxx
[45] vaccine
[23] covid19
[15] infodemic
[13] antivax
[10] covid
[9] antivaxxers
[8] fail
[7] sanremo2023
[7] kyrieirving



Top Hashtags in Tweet in G2:
[9] antivaxx
[2] news
[2] covid
[1] epicfail
[1] knownitall
[1] clown
[1] embarrasing
[1] phc2023
[1] nhs75
[1] idiot

Top Hashtags in Tweet in G3:
[12] antivaxx
[5] faceababa
[5] tpmp
[3] prisonblachier
[3] soutienamineumlil
[2] afp
[2] andrebercoff
[2] macron
[2] zelensky
[2] covid19

Top Hashtags in Tweet in G6:
[11] antivaxx
[6] covid19
[4] antivaxxers
[4] covid
[4] vaccinehesitancy
[3] pandemic
[2] usa
[2] uk
[2] bigpharma
[2] news

Top Hashtags in Tweet in G7:
[1] covidisntover
[1] truthgoesviral
[1] truthbetold
[1] antivaxx
[1] covid19

Top Hashtags in Tweet in G8:
[1] svpol
[1] migpol
[1] stupid

Top Hashtags in Tweet in G10:
[1] beyondhelp
[1] antivaxx
[1] vaccine

Top Words
Top Words in Tweet in Entire Graph:
[3812] antivaxx
[2116] c'est
[1508] erikloridan
[1036] fait
[983] leur
[961] soignants
[955] alors
[936] bah
[934] obligatoire
[934] 4e

Top Words in Tweet in G1:
[1810] c'est
[1464] erikloridan
[918] antivaxx
[906] 4e
[905] soignants
[904] bah
[904] alors
[904] obligatoire
[904] fait
[904] leur

Top Words in Tweet in G2:
[290] antivaxx
[80] iancopeland5
[77] people
[74] covid
[62] healthbyjames
[53] vaccine
[42] anti
[41] vaccines
[37] more
[36] know

Top Words in Tweet in G3:
[338] antivaxx
[158] c'est
[121] sont
[109] ça
[105] ce
[83] mais
[73] plus
[65] fait
[57] par
[52] comme

Top Words in Tweet in G4:
[324] antivaxx
[320] marionkoopmans
[318] facebook
[318] content
[318] 70
[318] money
[318] making
[318] organisations
[318] 12
[318] persons

Top Words in Tweet in G5:
[20] tomsirolimus
[20] pouldeau61
[20] jimeeliberty
[18] ogilville1
[18] wendyorent
[18] idunsdaughter
[18] barryjohnreid21
[18] maureenstroud
[18] scary7dr
[18] mcfunny

Top Words in Tweet in G6:
[133] antivaxx
[21] gt
[19] people
[12] pra
[12] vaccine
[11] #antivaxx
[10] pro
[10] não
[10] covid
[9] anti

Top Words in Tweet in G7:
[51] antivaxx
[35] alastairmca30
[34] over
[28] media
[27] saying
[26] saffiya_khan1
[25] re
[25] doubledownnews
[25] see
[23] proven

Top Words in Tweet in G8:
[89] antivaxx
[59] marcusfriberg
[52] är
[51] sd
[51] konspirationer
[49] stockholm
[47] driver
[46] region
[30] att
[19] det

Top Words in Tweet in G9:
[206] ได
[206] ดแล
[103] อนท
[103] ไม
[103] างเค
[103] อความบอกว
[103] petnq
[103] ไฟเซอร
[103] ผลข
[103] นท

Top Words in Tweet in G10:
[44] antivaxx
[38] drsusanoliver1
[35] video
[34] time
[33] sorry
[33] wanted
[33] removed
[33] everyone
[33] watch
[32] 5th

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[939] soignants,antivaxx
[932] fait,leur
[930] c'est,soignants
[929] 4e,pretexte
[929] leur,4e
[929] pretexte,c'est
[929] nont,fait
[929] obligatoire,bah
[929] c'est,obligatoire
[929] antivaxx,nont

Top Word Pairs in Tweet in G1:
[905] c'est,soignants
[905] soignants,antivaxx
[904] alors,croyez
[904] fait,leur
[904] antivaxx,nont
[904] obligatoire,bah
[904] 4e,pretexte
[904] leur,4e
[904] nont,fait
[904] pretexte,c'est

Top Word Pairs in Tweet in G2:
[19] barryonash,healthbyjames
[14] kudo4343,barryonash
[10] drsusanoliver1,karen98randomly
[9] antivaxx,anti
[9] healthbyjames,james
[9] covid,19
[8] antivaxx,propaganda
[7] cobriu,uma
[7] paralímpicos,jornalista
[7] uma,medalha

Top Word Pairs in Tweet in G3:
[29] sphère,antivaxx
[29] pro,poutine
[28] révocation,dr
[27] toute,sphère
[27] sont,lunaires
[27] ici,wonner
[27] antivaxx,autour
[27] autour,révocation
[27] dr,umlil
[27] outrées,toute

Top Word Pairs in Tweet in G4:
[318] facebook,making
[318] content,facebook
[318] responsible,70
[318] persons,organisations
[318] 70,antivaxx
[318] antivaxx,content
[318] organisations,responsible
[318] 12,persons
[318] making,money
[317] money,ht

Top Word Pairs in Tweet in G5:
[8] scottstocker4,pouldeau61
[8] idunsdaughter,zeetubesii
[8] theroyalrant,doom37455413
[8] giannmi,saluce65
[8] kberkopes,i_am_joli_anne
[8] richykirsh,nuhope2022
[8] nicky111lady,doritmi
[8] radiocolor,swedishchf
[8] frenchg11623069,theroyalrant
[8] jarbot15,barryjohnreid21

Top Word Pairs in Tweet in G6:
[19] gt,gt
[4] country,#covid19
[4] compared,another
[4] another,country
[4] #covid,compared
[3] antivaxx,shit
[3] ce,jour
[3] antivaxx,sont
[3] antivaxx,covid
[3] being,antivaxx

Top Word Pairs in Tweet in G7:
[22] saying,withhold
[22] comers,irony
[22] potential,therapeutics
[22] oncologist,saying
[22] rcts,comers
[22] re,proven
[22] therapeutics,until
[22] withhold,potential
[22] proven,rcts
[22] until,re

Top Word Pairs in Tweet in G8:
[51] antivaxx,konspirationer
[46] sd,driver
[46] driver,antivaxx
[46] konspirationer,region
[46] region,stockholm
[45] marcusfriberg,sd
[14] far,right
[13] coincidence,lots
[13] people,mentions
[13] posie,parker

Top Word Pairs in Tweet in G9:
[103] ไม,ได
[103] เป,นท
[103] เก,ดโรคแทรกซ
[103] ดแล,วไม
[103] ฉ,ดแล
[103] อนท,ก
[103] นท,กคน
[103] า,ถ
[103] ยง,ให
[103] วทำให,เก

Top Word Pairs in Tweet in G10:
[32] teamyoutube,removed
[32] removed,5th
[32] video,teamyoutube
[32] watch,video
[32] everyone,wanted
[32] sorry,everyone
[32] 5th,time
[32] wanted,watch
[31] drsusanoliver1,sorry
[5] antivaxx,rhetoric

Top Replied-To
Top Replied-To in Entire Graph:
@iancopeland5
@leonard1nimoy
@dvatw
@finstreet
@healthbyjames
@marcusfriberg
@zacharylevi
@tpmp
@elon_moron
@thomashooper4

Top Replied-To in G1:
@erikloridan
@bouchon81133052
@flyakwa
@julia17337917

Top Replied-To in G2:
@iancopeland5
@healthbyjames
@elon_moron
@flaatens
@rarzjevtovic
@washburnealex
@berniedogs4
@games_oconnor
@adamg620
@sineadggleeson

Top Replied-To in G3:
@leonard1nimoy
@finstreet
@tpmp
@thomashooper4
@myriampalomba
@f_philippot
@gabrielc6472827
@tbernard1979
@jeremyfoubert1
@borowskimike

Top Replied-To in G4:
@marionkoopmans
@thereal_truther

Top Replied-To in G5:
@reacharoundu
@f_kyburz
@zee_parody
@shina20269455
@sariellaforever
@hansel21_
@redheadlass1402
@dann58638436
@giveabjgotojail
@usa_patriot0311

Top Replied-To in G7:
@doubledownnews
@alastairmca30
@counsellingsam
@ionabryony
@dmcraze
@die__trying_
@hixsec
@crehage
@og_tessa
@meduse17b

Top Replied-To in G8:
@marcusfriberg
@samhallsmelodin
@drloupis
@tallaa
@lexitivium
@katjanouch
@folkhalsomynd
@roger_ostlund
@ekrausej
@mortenhumme

Top Replied-To in G10:
@dvatw
@ljbarre
@denise_dewald
@davidjthunder
@ronfilipkowski
@potus
@heathenofthecr1
@peterhotez
@steog12
@raventeam06

Top Mentioned
Top Mentioned in Entire Graph:
@erikloridan
@marionkoopmans
@petnq
@anne_roumanoff
@sergiodde
@vejaocentro
@iancopeland5
@healthbyjames
@marcusfriberg
@drsusanoliver1

Top Mentioned in G1:
@erikloridan
@4n4k04n
@jos37370206
@julia17337917
@caudehenrion
@alainlegaret
@bouchon81133052

Top Mentioned in G2:
@iancopeland5
@healthbyjames
@barryonash
@stkirsch
@kudo4343
@gbnews
@skychick_
@pfizer
@p_mcculloughmd
@draseemmalhotra

Top Mentioned in G3:
@olivierveran
@doclucas4
@lonnibesancon
@andrebercoff
@amine_umlil
@julienpain
@f_philippot
@erikloridan
@borowskimike
@philippeschw

Top Mentioned in G4:
@marionkoopmans
@shaun_vids
@rolandpierik

Top Mentioned in G5:
@pouldeau61
@jimeeliberty
@tomsirolimus
@scottstocker4
@mcfunny
@skepticalmutant
@provaxtexan
@ogilville1
@pawley_robert
@maureenstroud

Top Mentioned in G6:
@wqbelle
@pensescoupable1

Top Mentioned in G7:
@alastairmca30
@saffiya_khan1
@ryanmarino
@doubledownnews
@georgemonbiot
@novaramedia
@jamiesale
@draseemmalhotra
@ride4truth

Top Mentioned in G8:
@marcusfriberg
@tallaa
@johnchivall
@covid19vaccinen
@drloupis
@missmonkeyspeed
@russembswe
@elinajansson
@vp
@socialdemokrat

Top Mentioned in G9:
@petnq

Top Mentioned in G10:
@drsusanoliver1
@teamyoutube
@cdcgov
@drjamesolsson
@biomedcentral
@marionkoopmans
@thechristiannew
@xaviaerd
@brandonstraka
@sun_sand_18

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@teamyoutube
@_redfrog
@britpoptarts
@lizditz
@cheezwitham
@ligayaloyola
@thehill
@altai_armande
@mariabadin18

Top Tweeters in G1:
@mariabadin18
@rosyjour
@lopezdominique2
@delalande72
@clobala2
@4litanglilou67
@myriamjerome
@dufailly1
@nath92798323
@chassaingandre

Top Tweeters in G2:
@jilevin
@alexandraerin
@jonassmarques
@ottawacitizen
@scepticalaussie
@freethinkfacts
@speak4tomorrow
@ibere
@merlotvine
@thereal_truther

Top Tweeters in G3:
@_redfrog
@altai_armande
@le_figaro
@yvespdb
@le_parisien
@william85837998
@mtlseb
@chaussat_helene
@guyjeff1
@saraart4

Top Tweeters in G4:
@maryalicebisho2
@masterprogram1
@norsemndem
@lorelei3112
@socratic1
@syawal
@splth32
@juanseapi
@juneymb
@teka21bat

Top Tweeters in G5:
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@angryfleas
@nockit1
@wendyorent
@incitatusalpha
@alex_on_a14

Top Tweeters in G6:
@ligayaloyola
@allan0li
@ladyteruki
@nadynne
@riderbabe52
@hawkmoon_
@wolfiesmiffed
@sammmi_gee
@mindstatex
@arrobacrara

Top Tweeters in G7:
@britpoptarts
@parsifel43
@sandralhanlon
@dropoutnation
@moniquedhooghe
@saffiya_khan1
@abcnews
@yeswombat
@kristekline
@showme_logic

Top Tweeters in G8:
@hommeebene1998
@notcapnamerica
@drukerstin
@ygro_y
@sagajo
@torpartjejen1
@claudet10142013
@hellgrenmarie
@damnednewsweden
@pallasglaux

Top Tweeters in G9:
@inna4497
@peachplusme
@aoomalr
@lindilorn
@minseokkyyy_799
@lemoncandey
@baiboum
@chanomyenka
@bibibyun123
@abrookekun

Top Tweeters in G10:
@teamyoutube
@lizditz
@charles_gaba
@tomo_hiko
@k_sarah_sera
@wilsonjohnas
@edroso
@austchloe
@tommcguinness
@colourmeamused_


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