antivaxx, Twitter, 11/20/2021 6:15:42 PM, 266765


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antivaxx_2021-11-20_07-30-01.xlsx
antivaxx_2021-11-20_07-30-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 20, 2021
Short Description:
antivaxx via NodeXL https://bit.ly/30NTqpF
@viadd
@nain_portekoi
@drobertalacerda
@niklast20
@alinefortuna2
@twitter
@elivieirajr
@filipe_rafaeli
@anousca65
@wargonm

Top hashtags:
#antivaxx
#covid19
#antipass
#antipassdelahonte
#résistance
#agir
#soignants

Description:
Description
The graph represents a network of 10,039 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 15:36 UTC.

The requested start date was Saturday, 20 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 5-day, 13-hour, 47-minute period from Sunday, 14 November 2021 at 03:49 UTC to Friday, 19 November 2021 at 17:37 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 10039
Unique Edges : 6069
Edges With Duplicates : 9532
Total Edges : 15601
Number of Edge Types : 5
Retweet : 3918
MentionsInRetweet : 4800
Replies to : 2322
Tweet : 1257
Mentions : 3304
Self-Loops : 1288
Reciprocated Vertex Pair Ratio : 0.00748903391462501
Reciprocated Edge Ratio : 0.0148667303812254
Connected Components : 1954
Single-Vertex Connected Components : 727
Maximum Vertices in a Connected Component : 2220
Maximum Edges in a Connected Component : 4799
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 7.308081
Graph Density : 9.34490573434258E-05
Modularity : 0.616033
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,039 Twitter users whose tweets in the requested range contained "antivaxx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 15:36 UTC.

The requested start date was Saturday, 20 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 5-day, 13-hour, 47-minute period from Sunday, 14 November 2021 at 03:49 UTC to Friday, 19 November 2021 at 17:37 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[69] https://www.comicsands.com/jeff-hoverson-antivaxx-rally-covid-2655526972.html
[15] https://retractionwatch.com/2021/11/16/co-author-of-paper-claiming-covid-19-vaccines-linked-to-miscarriage-says-hes-retracting-it/
[10] https://www.abc.net.au/news/2021-11-17/visualising-risks-of-covid-19-infections-and-vaccines/100560436
[7] https://twitter.com/reporterenato/status/1460234462126608389
[6] https://www.channelnewsasia.com/commentary/covid-19-vaccine-hesitant-antivax-persuade-data-2306141
[4] https://twitter.com/CoronavirusBra1/status/1460358003555770370
[4] https://twitter.com/tracklist/status/1460386179216515074
[3] https://www.theguardian.com/film/2021/nov/18/we-were-in-a-war-behind-2021s-most-devastating-covid-19-documentary?CMP=Share_iOSApp_Other
[3] https://twitter.com/RachelMcKibbens/status/1458881015917678594
[3] https://twitter.com/CNEWS/status/1461611340519428101

Top URLs in Tweet in G1:
[5] https://twitter.com/reporterenato/status/1460234462126608389
[4] https://twitter.com/tracklist/status/1460386179216515074
[2] https://twitter.com/spectatorindex/status/1459857168732020738
[2] https://www.channelnewsasia.com/commentary/covid-19-vaccine-hesitant-antivax-persuade-data-2306141
[2] https://twitter.com/RTSinfo/status/1458360987929792514
[2] https://www.comicsands.com/jeff-hoverson-antivaxx-rally-covid-2655526972.html
[2] https://twitter.com/501Awani/status/1460058983474294784
[2] https://twitter.com/siteptbr/status/1460058031908171781
[2] https://twitter.com/filmupdates/status/1460264896898162692
[2] https://twitter.com/FilmUpdates/status/1460264896898162692

Top URLs in Tweet in G2:
[1] https://twitter.com/Superscarou/status/1460715360014020611
[1] https://twitter.com/nothing_is_just/status/1460560867930615817
[1] https://twitter.com/TwitterSafety/status/1460716542182805504
[1] https://twitter.com/willvs/status/1460620807927906306
[1] https://twitter.com/RachelMcKibbens/status/1458881015917678594
[1] https://twitter.com/nicolasberrod/status/1459477597981716484
[1] https://twitter.com/lequipe/status/1460334300646236169
[1] https://twitter.com/LUCTHIRIET/status/1457804260125597697
[1] https://twitter.com/afpfr/status/1460293621186547717
[1] https://twitter.com/PIERREVERNE/status/1460251365687627776

Top URLs in Tweet in G3:
[1] https://twitter.com/lbarbosa66/status/1459653818254344198

Top URLs in Tweet in G4:
[1] https://www.lemonde.fr/planete/article/2021/11/17/covid-19-une-mortalite-mondiale-largement-sous-estimee_6102334_3244.html#xtor=AL-32280270-[default]-[android
[1] https://twitter.com/lonnibesancon/status/1460985845314469892
[1] https://twitter.com/Thomas_Bachelet/status/1461653297669066752
[1] https://twitter.com/BenoitZagdoun/status/1460625611089756161
[1] https://twitter.com/vinceflibustier/status/1460511954829819906
[1] https://twitter.com/ap_mic/status/1460195232310513667
[1] https://twitter.com/euronewsfr/status/1460572796736712705
[1] https://www.ladepeche.fr/2021/07/01/covid-19-pourquoi-de-plus-en-plus-de-personnes-vaccinees-seront-contaminees-dans-les-prochaines-semaines-9644924.php
[1] https://www.francetvinfo.fr/sante/maladie/coronavirus/vaccin/vrai-ou-fake-vaccin-contre-le-covid-19-pfizer-reconnait-il-qu-il-faudra-cinq-ans-pour-connaitre-les-risques-chez-les-jeunes-enfants_4847009.html
[1] https://www.20minutes.fr/sante/3173475-20211116-coronavirus-vaccination-fortement-reduit-hospitalisations-plus-fragiles

Top URLs in Tweet in G5:
[2] https://twitter.com/Mediapart/status/1461621268785082368
[2] https://modelisation-covid19.pasteur.fr/evaluate-control-measures/impact-partially-vaccinated-population/
[2] https://twitter.com/CNEWS/status/1461611340519428101
[1] https://twitter.com/tcabarrus/status/1461388566999846916?t=kwrLl0PwaF9arXKhqdAkTg&s=19
[1] https://twitter.com/pauline6915/status/1461613316212674563
[1] https://www.senat.fr/rap/r09-685-1/r09-685-1.html
[1] https://www.youtube.com/watch?v=8MWTmercdEg

[1] https://twitter.com/BFMTV/status/1460981596421603338
[1] https://twitter.com/LPLdirect/status/1461342267034066944
[1] https://www.24vita.de/krankheiten/corona-virus-geimpfte-zahlen-rki-welle-impfung-intensivstation-covid-spahn-lauterbach-berlin-90932800.html

Top URLs in Tweet in G6:
[1] https://www.reuters.com/article/us-health-coronavirus-murdoch-idUSKBN28S2J7

Top URLs in Tweet in G7:
[1] https://twitter.com/KalainH/status/1461062405992194060
[1] https://twitter.com/tttliveonline/status/1460343794864381966

Top URLs in Tweet in G8:
[1] https://twitter.com/MrT/status/1459652734894804994
[1] https://twitter.com/ellethejambo/status/1459994955699601416?t=bB-FiiLBh39T_Ek827ZVAw&s=19
[1] https://twitter.com/RetractionWatch/status/1460772973883932676
[1] https://www.medrxiv.org/content/10.1101/2021.10.18.21265113v1.full.pdf
[1] https://twitter.com/Frankly66712604/status/1460546605879336964
[1] https://twitter.com/alisongeorge10/status/1460559561404862465
[1] https://twitter.com/alisongeorge10/status/1460548737231736834
[1] https://twitter.com/botvolution/status/1459665512116506637
[1] https://www.standard.co.uk/news/uk/alzheimer-university-of-leicester-leicester-b966155.html

Top URLs in Tweet in G9:
[1] https://twitter.com/WeDemain/status/1460610355567030282
[1] https://twitter.com/libe/status/1460669525897195527
[1] https://twitter.com/Medic4allHuman/status/1460836718748307457

Top URLs in Tweet in G10:
[63] https://www.comicsands.com/jeff-hoverson-antivaxx-rally-covid-2655526972.html
[1] https://retractionwatch.com/2021/11/16/co-author-of-paper-claiming-covid-19-vaccines-linked-to-miscarriage-says-hes-retracting-it/

Top Domains
Top Domains in Tweet in Entire Graph:
[438] twitter.com
[69] comicsands.com
[15] retractionwatch.com
[15] youtube.com
[11] net.au
[8] theguardian.com
[6] channelnewsasia.com
[5] co.uk
[4] nrc.nl
[3] businessinsider.com

Top Domains in Tweet in G1:
[212] twitter.com
[3] co.uk
[2] reddit.com
[2] youtube.com
[2] channelnewsasia.com
[2] comicsands.com
[2] msn.com
[1] lgbfjbusa.com
[1] theguardian.com
[1] dw.com

Top Domains in Tweet in G2:
[11] twitter.com

Top Domains in Tweet in G3:
[1] twitter.com

Top Domains in Tweet in G4:
[12] twitter.com
[3] 20minutes.fr
[2] lemonde.fr
[1] ladepeche.fr
[1] francetvinfo.fr
[1] frapp.ch
[1] rt.com

Top Domains in Tweet in G5:
[11] twitter.com
[2] pasteur.fr
[1] senat.fr
[1] youtube.com
[1] 24vita.de
[1] francebleu.fr
[1] ourworldindata.org
[1] epi-phare.fr
[1] radio-canada.ca
[1] gouv.fr

Top Domains in Tweet in G6:
[1] reuters.com

Top Domains in Tweet in G7:
[2] twitter.com

Top Domains in Tweet in G8:
[7] twitter.com
[1] medrxiv.org
[1] co.uk

Top Domains in Tweet in G9:
[3] twitter.com

Top Domains in Tweet in G10:
[63] comicsands.com
[1] retractionwatch.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[833] antivaxx
[79] covid19
[61] antipass
[60] antipassdelahonte
[58] résistance
[58] agir
[58] soignants
[55] antipasssanitaire
[47] antivaxxers
[47] manifs13novembre



Top Hashtags in Tweet in G1:
[93] antivaxx
[19] covid19
[10] antivaxxers
[10] vaccine
[9] antivax
[8] covid
[7] covid_19
[5] boycotttesco
[4] vaccination
[4] covidvaccine

Top Hashtags in Tweet in G2:
[9] antivaxx
[3] covid19
[3] nouvellecaledonie
[2] antipass
[1] covid_19
[1] antiantivaxx

Top Hashtags in Tweet in G4:
[74] antivaxx
[52] antipass
[4] vaccin
[4] covid_19
[4] covid19
[4] covid19france
[4] vaccinationcovid19
[4] vaccinationcovid
[4] antivax
[4] santé

Top Hashtags in Tweet in G5:
[116] antivaxx
[48] antipasssanitaire
[46] manifs13novembre
[46] noussommesles6millions
[42] nonaupassedelahonte
[19] nonaupasseportsanitaire
[19] bordeaux
[19] pfizergate
[19] myocardite
[19] effetssecondaires

Top Hashtags in Tweet in G6:
[111] antivaxx

Top Hashtags in Tweet in G8:
[7] antivaxx
[2] covid
[2] antimask
[1] covid19
[1] beverlies
[1] pcr
[1] covidvaccination
[1] extremists
[1] beverleyturner
[1] bloodontheirhands

Top Hashtags in Tweet in G9:
[6] antivaxx
[2] covid
[1] covidiots
[1] antipass

Top Hashtags in Tweet in G10:
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[5359] antivaxx
[830] #antivaxx
[820] non
[798] vaccinés
[748] mais
[667] plus
[596] os
[574] em
[567] vaxx
[556] só

Top Words in Tweet in G1:
[677] antivaxx
[93] #antivaxx
[62] covid
[56] people
[40] vaccine
[38] não
[34] being
[30] vaccinated
[26] anti
[24] one

Top Words in Tweet in G2:
[435] antivaxx
[330] viadd
[329] ses
[329] enfants
[328] deux
[328] masque
[327] antimasque
[327] obtenu
[327] port
[327] visière

Top Words in Tweet in G3:
[500] em
[498] os
[498] mais
[497] ainda
[497] só
[496] explique
[496] 4a
[496] dose
[496] surtos
[496] países

Top Words in Tweet in G4:
[455] plus
[430] non
[423] vaccinés
[349] antivaxx
[277] nain_portekoi
[210] fois
[209] 11
[209] réalité
[206] l'hôpital
[206] 4x

Top Words in Tweet in G5:
[218] antivaxx
[114] #antivaxx
[58] sont
[58] ça
[53] non
[48] #antipasssanitaire
[47] vaccinés
[46] #manifs13novembre
[46] #noussommesles6millions
[44] f_philippot

Top Words in Tweet in G6:
[213] rupert
[112] media
[111] murdoch's
[111] empire
[111] continually
[111] spread
[111] #antivaxx
[111] propaganda
[111] funny
[111] one

Top Words in Tweet in G7:
[148] antivaxx
[147] see
[146] community
[146] cinemas
[146] close
[146] again
[146] spider
[146] man
[146] nwh
[146] big

Top Words in Tweet in G8:
[48] antivaxx
[9] being
[7] beverleyturner
[7] lost
[7] #antivaxx
[6] same
[6] yesterday
[6] prompted
[6] discussion
[6] know

Top Words in Tweet in G9:
[208] pays
[115] sont
[106] suisse
[106] où
[104] l'épidémie
[104] repart
[104] fort
[104] moins
[104] vacciné
[104] d'europe

Top Words in Tweet in G10:
[63] georgetakei
[63] oh
[48] antivaxx
[47] pharmacy
[47] tech
[46] yesterday
[46] learned
[46] give
[46] shots
[46] totally

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[502] explique,4a
[502] 4a,dose
[502] dose,ainda
[502] ainda,os
[502] os,surtos
[502] surtos,em
[502] em,países
[502] países,mais
[502] mais,75
[502] 75,vaxx

Top Word Pairs in Tweet in G1:
[12] os,antivaxx
[12] miles,teller
[8] being,antivaxx
[6] antivaxx,movement
[6] non,vaccinés
[5] #covid19,#antivaxx
[5] antivaxx,covid
[5] antivaxx,conspiracy
[5] antivaxx,bs
[5] antivaxx,bullshit

Top Word Pairs in Tweet in G2:
[327] antivaxx,antimasque
[327] antimasque,obtenu
[327] obtenu,ses
[327] ses,deux
[327] deux,enfants
[327] enfants,port
[327] port,visière
[327] visière,école
[327] école,lieu
[327] lieu,masque

Top Word Pairs in Tweet in G3:
[496] explique,4a
[496] 4a,dose
[496] dose,ainda
[496] ainda,os
[496] os,surtos
[496] surtos,em
[496] em,países
[496] países,mais
[496] mais,75
[496] 75,vaxx

Top Word Pairs in Tweet in G4:
[209] vaccinés,non
[209] non,vaccinés
[207] fois,plus
[206] antivaxx,11
[206] 11,fois
[206] plus,vaccinés
[206] vaccinés,l'hôpital
[206] l'hôpital,réalité
[206] réalité,4x
[206] 4x,plus

Top Word Pairs in Tweet in G5:
[47] #antipasssanitaire,#antivaxx
[46] #manifs13novembre,#antipasssanitaire
[46] #antivaxx,#noussommesles6millions
[42] #noussommesles6millions,#nonaupassedelahonte
[24] non,vaccinés
[19] p_duval,lellouchepierre
[19] #nonaupassedelahonte,#nonaupasseportsanitaire
[19] #nonaupasseportsanitaire,#bordeaux
[19] #bordeaux,#pfizergate
[19] #pfizergate,#myocardite

Top Word Pairs in Tweet in G6:
[111] rupert,murdoch's
[111] murdoch's,media
[111] media,empire
[111] empire,continually
[111] continually,spread
[111] spread,#antivaxx
[111] #antivaxx,propaganda
[111] propaganda,funny
[111] funny,one
[111] one,first

Top Word Pairs in Tweet in G7:
[146] antivaxx,community
[146] community,cinemas
[146] cinemas,close
[146] close,again
[146] again,see
[146] see,spider
[146] spider,man
[146] man,nwh
[146] nwh,big
[146] big,screen

Top Word Pairs in Tweet in G8:
[6] retraction,enough
[6] enough,nt
[6] nt,damage
[6] damage,those
[6] those,women
[6] women,lost
[6] lost,children
[5] tweeted,yesterday
[5] yesterday,pathetically
[5] pathetically,hilarious

Top Word Pairs in Tweet in G9:
[104] l'épidémie,repart
[104] repart,fort
[104] fort,suisse
[104] suisse,pays
[104] pays,moins
[104] moins,vacciné
[104] vacciné,d'europe
[104] d'europe,l'ouest
[104] l'ouest,pays
[104] pays,où

Top Word Pairs in Tweet in G10:
[62] georgetakei,oh
[47] pharmacy,tech
[46] yesterday,learned
[46] learned,antivaxx
[46] antivaxx,pharmacy
[46] tech,give
[46] give,shots
[46] shots,totally
[46] totally,sure
[46] sure,feel

Top Replied-To
Top Replied-To in Entire Graph:
@lci
@cnews
@f_philippot
@deeharvey
@oatila
@peterhotez
@monnier403
@bfmtv
@veroniquegenest
@yvespdb

Top Replied-To in G2:
@philippepoutou
@agora_opinion
@max_s14
@wargonm
@viadd
@gtroikar
@requiem_evil
@julien_008
@paul_denton
@nathanpsmad

Top Replied-To in G3:
@chappuis_p
@realdealalmeida
@cludias50164911
@lbarbosa66
@drobertalacerda

Top Replied-To in G4:
@treenityweb
@dr646464
@docarnica
@un_etrehumain
@poulin2012
@grandjeanbenoit
@doctalons
@stephanlarnakos
@fizzy06c
@_mrpatat_

Top Replied-To in G5:
@cnews
@lci
@f_philippot
@monnier403
@bfmtv
@yvespdb
@medicalfollower
@franceinfo
@poulin2012
@envoletoi2030

Top Replied-To in G6:
@brasilmagic

Top Replied-To in G7:
@dzifaj

Top Replied-To in G8:
@beverleyturner
@zoeharcombe
@fitay59
@wrathfullywraph
@timmythetiger3
@catvaxlax
@coolfacejane
@yeoldemmrf
@davetitler
@deedoherty2

Top Replied-To in G9:
@asmoth360

Top Replied-To in G10:
@lil_fat_nuts

Top Mentioned
Top Mentioned in Entire Graph:
@drobertalacerda
@viadd
@nain_portekoi
@wargonm
@kesleyrampersad
@elraynerista
@julienpain
@brasilmagic
@stormzak1
@toniabuxton

Top Mentioned in G1:
@fulltimefeline
@mtchknght8
@udderrunner

Top Mentioned in G2:
@viadd
@wargonm
@maitre_crayon
@nain_portekoi
@detlefsenpatri1
@funnroses
@ultranusabitbol
@mompontet
@damiendole
@qofficiel

Top Mentioned in G3:
@drobertalacerda
@bbcbrasil
@canaldofalcao1
@nelsonbleu
@am23marcos
@natachaornellas
@lbarbosa66
@ultconservadora

Top Mentioned in G4:
@nain_portekoi
@qffwffq
@viadd
@alblevert
@debunkmoutarde
@drmartyufml
@hecaterenarde
@raoult_didier
@drstrangelol
@julienpain

Top Mentioned in G5:
@f_philippot
@boxiff33
@poulin2012
@lellouchepierre
@p_duval
@bfmtv
@cnews
@yvespdb
@adamtho99602766
@lci

Top Mentioned in G6:
@elraynerista
@brasilmagic

Top Mentioned in G7:
@kesleyrampersad

Top Mentioned in G8:
@beverleyturner
@swordthechemist
@botvolution
@jeremyvineon5
@owenjones84
@zoeharcombe
@mailonline
@ellethejambo
@mrskinnylegz
@usforthemuk

Top Mentioned in G9:
@julienpain
@fernando_bpa
@viadd
@nain_portekoi
@kalou
@jsuisderetour69
@wargonm
@m_chatouille

Top Mentioned in G10:
@georgetakei
@acshilton
@caulfieldtim
@walgreens
@judynor00320887
@woodlandsfitgrl
@brasilmagic

Top Tweeters
Top Tweeters in Entire Graph:
@tesco
@filafresh
@threadreaderapp
@dichristine
@republikaonline
@natransversal
@ejlazar
@andyvermaut
@maria_andy2
@cityreport

Top Tweeters in G1:
@andyvermaut
@danielaaf
@t_smoove_goody
@007jean5
@yagbebi
@ladygagarin
@conjja
@mtchknght8
@aureliacotta
@memeyoingi

Top Tweeters in G2:
@_tomacns
@achabus
@bourganne
@joe_le_zef
@salomerainbow
@tecoub
@bbddpp
@nyantho
@cataclem
@desertup

Top Tweeters in G3:
@ezequiasns
@daysebarela
@josmarcelodona3
@shushirlei
@silvamarcosrj
@alfssmartins
@anholeto
@cascianovidal
@lucihelenolivei
@marciap_rj

Top Tweeters in G4:
@_redfrog
@docarnica
@benoit_gregory
@patureaumarie
@jeanval26536332
@vilain_pabo
@an_conda
@miawallaceb52
@lehmanndrc
@latourygermain

Top Tweeters in G5:
@limportant_fr
@4tchat
@le_figaro
@bfmtv
@deycatherine1
@lesechos
@afpfr
@20minutes
@yvespdb
@levyloiseau

Top Tweeters in G6:
@marthalynneowe1
@awelab1956
@curiocat13
@christinejameis
@margymayell
@suegray834
@pingachoo
@bellablue1060
@passarelliallan
@mcnejames

Top Tweeters in G7:
@gmgigi
@danziee_xo
@twerkingthug
@paquing184
@thatdannygirl
@keems868
@devanutd
@a_bee_05
@smilez_alot21
@varshieee_

Top Tweeters in G8:
@mailonline
@uriebay
@alistaircoleman
@ehijacked
@itsjillgardner
@breezergalway
@johnrashton47
@foxesdale
@falteringlyon
@gmb

Top Tweeters in G9:
@4lacol
@grooverblog
@alain_co
@val_do
@mtlseb
@phbaumann
@jeromegodefroy
@elisa15000
@ydahoydaho
@misssampayudu

Top Tweeters in G10:
@dichristine
@inspiteoftrump
@mrcoollooking75
@gwydion620
@suekhi
@allan_straarup
@bofflespoffle
@nate_ready2go
@murtwitnessone
@mdrfl


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