antivax, Twitter, 1/16/2023 9:32:08 AM, 288168


FAQ | Problem?

antivax_2023-01-16_01-15-01.xlsx
antivax_2023-01-16_01-15-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 16, 2023
Short Description:
antivax via NodeXL https://bit.ly/3kiGKAO
@debunkeretoiles
@healthbyjames
@ash_stewart_
@whiskey2ooo
@dr_barrett
@niusmarco
@clement_helart
@draseemmalhotra
@sharky_vs_evil
@2_expat

Top hashtags:
#antivax
#unjouruncovidiot
#wrongagainivor
#poutine
#désinformation

Description:
Description
The graph represents a network of 6,810 Twitter users whose recent tweets contained "antivax", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:19 UTC.

The tweets in the network were tweeted over the 1039-day, 4-hour, 16-minute period from Thursday, 12 March 2020 at 20:42 UTC to Monday, 16 January 2023 at 00:59 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 : 6810
Unique Edges : 4057
Edges With Duplicates : 12781
Total Edges : 16838
Number of Edge Types : 9
Retweet : 2677
MentionsInRetweet : 3163
MentionsInReplyTo : 6754
MentionsInQuoteReply : 145
Replies to : 2946
Mentions : 172
MentionsInQuote : 58
Quote : 241
Tweet : 682
Self-Loops : 935
Reciprocated Vertex Pair Ratio : 0.0562700964630225
Reciprocated Edge Ratio : 0.106544901065449
Connected Components : 783
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 3571
Maximum Edges in a Connected Component : 10485
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.996777
Graph Density : 0.000198364046548912
Modularity : 0.510163
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,810 Twitter users whose recent tweets contained "antivax", 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 09:19 UTC.

The tweets in the network were tweeted over the 1039-day, 4-hour, 16-minute period from Thursday, 12 March 2020 at 20:42 UTC to Monday, 16 January 2023 at 00:59 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 : antivax
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:
[15] https://resistancextremismes.eu/les-excentriques-antivax-et-letat-mafieux-de-poutine-une-alliance-contre-nature-article-de-tom-scott-royaume-uni/
[15] https://twitter.com/1948BettyBoop/status/1614385972720054273/photo/1
[14] https://twitter.com/healthbyjames/status/1614358671944712193
[13] https://www.youtube.com/watch?v=61dineEmeLE&feature=youtu.be
[13] https://www.public.fr/News/La-solitude-a-tue-plus-de-personnes-agees-que-le-Covid-Elie-Semoun-denonce-les-mesures-gouvernementales-betes-pendant-la-crise-s-1759166
[13] https://twitter.com/i/spaces/1RDxlakAWYkKL
[11] https://twitter.com/2_expat/status/1614686835288023041/photo/1
[11] https://www.washingtonpost.com/world/2022/12/08/new-zealand-baby-vaccinated-blood-antivax/
[10] https://sciencebasedmedicine.org/peer-review-fail-vaccine-publishes-antivax-propaganda/
[9] https://www.youtube.com/watch?v=d5JdyGNEvxU&feature=youtu.be


Top URLs in Tweet in G1:
[1] https://twitter.com/manopsi/status/1614284990002659328/photo/1

Top URLs in Tweet in G2:
[6] https://twitter.com/DeBunKerEtoiles/status/1614201712742486016
[4] https://twitter.com/f_philippot/status/1614298112264384512/photo/1
[4] https://twitter.com/8354_cllt/status/1614758391624175616/photo/1
[3] https://twitter.com/DeBunKerEtoiles/status/1614201712742486016/photo/1
[3] https://twitter.com/NiusMarco/status/1614535816994525184/photo/1
[2] https://twitter.com/DeBunKerEtoiles/status/1614237549672775681/photo/1
[2] https://resistancextremismes.eu/les-excentriques-antivax-et-letat-mafieux-de-poutine-une-alliance-contre-nature-article-de-tom-scott-royaume-uni/
[2] https://twitter.com/Unreadu93/status/1614371955016187907
[1] https://twitter.com/cartesdumonde/status/1614253358235193348
[1] https://twitter.com/f_philippot/status/1614336468968669186/photo/1

Top URLs in Tweet in G3:
[14] https://twitter.com/1948BettyBoop/status/1614385972720054273/photo/1
[13] https://resistancextremismes.eu/les-excentriques-antivax-et-letat-mafieux-de-poutine-une-alliance-contre-nature-article-de-tom-scott-royaume-uni/
[4] https://twitter.com/Patrick_JOJO/status/1614407554607587330/photo/1
[3] https://twitter.com/StephaneP71/status/1614510961775476741/photo/1
[3] https://twitter.com/QuelleEpoqueOff/status/1614400163141021696
[3] https://www.thewrap.com/douglas-kuzma-covid-19/amp/
[2] https://twitter.com/2_expat/status/1614686835288023041/photo/1
[2] https://twitter.com/QuelleEpoqueOff/status/1614400163141021696/video/1
[2] https://twitter.com/kerozen10/status/1614216085653299200/photo/1
[2] https://twitter.com/quelleepoqueoff/status/1614400163141021696

Top URLs in Tweet in G4:
[6] https://sciencebasedmedicine.org/peer-review-fail-vaccine-publishes-antivax-propaganda/
[3] https://twitter.com/djnicholl/status/1614228905866428416/photo/1
[3] https://medium.com/pragmapolitic/antivax-crimes-against-data-science-95a605c03c5d
[2] https://twitter.com/dr_barrett/status/1614396257715240967/photo/1
[2] https://twitter.com/DrAseemMalhotra/status/1613837487796850688
[2] https://twitter.com/tylerblack32/status/1613969735414321152
[2] https://twitter.com/Melchizedek1972/status/1614437809087021056/photo/1
[2] https://www.change.org/p/recall-andrew-bridgen-as-mp-of-north-west-leicestershire
[2] https://www.sciencedirect.com/science/article/pii/S0264410X22010283
[2] https://twitter.com/sinichol/status/1392757732260909057/photo/1

Top URLs in Tweet in G5:
[7] https://twitter.com/2_expat/status/1614686835288023041/photo/1
[4] https://twitter.com/Renkatroussier2/status/1614052900879355905/photo/1
[3] https://twitter.com/le_Parisien/status/1614003959135457287
[2] https://twitter.com/AlbLeVert/status/1613799112029134848/photo/1
[2] https://twitter.com/2_expat/status/1614429397087404032/photo/1
[2] https://twitter.com/CarolineTiti2/status/1614608838916804609/photo/1
[2] https://twitter.com/CarolineTiti2/status/1614608587304898560/photo/1
[1] https://utreon.com/v/tvjCFhYsRYu
[1] https://twitter.com/Incorrectibles/status/1612163855014060032/video/1
[1] https://twitter.com/AlbLeVert/status/1613799112029134848

Top URLs in Tweet in G6:
[14] https://twitter.com/healthbyjames/status/1614358671944712193
[2] https://twitter.com/Shark3ozero/status/1614522045374554114
[2] https://twitter.com/TonyChiaroscuro/status/1614553084700815361/photo/1
[1] https://people.com/parents/tori-spelling-reveals-daughter-stella-home-from-hospital-diagnosed-hemiplegic-migraine/
[1] https://twitter.com/healthbyjames/status/1614351154439196672/photo/1
[1] https://twitter.com/healthbyjames/status/1614326948368449539/video/1
[1] https://twitter.com/healthbyjames/status/1614318092477423617/photo/1
[1] https://twitter.com/healthbyjames/status/1614441788856492033/video/1
[1] https://jamescintolo.substack.com/p/100-of-kids-14-16-with-mrna-covid
[1] https://twitter.com/healthbyjames/status/1614463915022319618/video/1

Top URLs in Tweet in G7:
[4] https://twitter.com/fcandersen/status/1614697533691039748/photo/1
[3] https://www.wsj.com/articles/experts-fueling-distrust-vaccines-antivax-public-health-covid-trials-death-misinformation-booster-myocarditis-variant-11673201083
[2] https://twitter.com/mt9jyo/status/1614503200215945216/photo/1
[2] https://www.sorryantivaxxer.com/
[2] https://twitter.com/DopeItsKort/status/1614620493285396485/photo/1
[1] https://odysee.com/@ColCovMed-Reunion:9/CSI-n%C2%B086---Discussion---Jean-Dominique-MICHEL---Complotistes%2C-antivax-et-autres-outils-de-controle-de-la-pensee.-Une-perspective-socio-historique---12-01-2023-Odysee:f
[1] https://www.irishtimes.com/ireland/social-affairs/2023/01/14/we-were-afraid-the-far-right-is-mobilising-and-they-are-coming-to-a-town-near-you/
[1] https://twitter.com/frank_oconnor/status/1275900684186062849?s=20&t=baP-aRhubPn9X9mjitP1eQ
[1] https://twitter.com/IpwnedU123/status/1598521910224117761
[1] https://twitter.com/mt9jyo/status/1614497402404352000/photo/1

Top URLs in Tweet in G8:
[4] https://twitter.com/IlfManchester/status/1614369907432472579/photo/1
[2] https://www.nejm.org/doi/pdf/10.1056/NEJMoa2110475?articleTools=true&fbclid=IwAR2zFi02unipklpUTwRVLbHe05rWzYAOpHF2tg3lgjJuuo90iUQRiigkb_A
[2] https://twitter.com/caffeinatedsurf/status/1614443295957991425/photo/1
[2] https://twitter.com/caffeinatedsurf/status/1614607219143725057/photo/1
[2] https://twitter.com/ABridgen/status/1614215854962491395
[1] https://rumble.com/v1zgtmd-ive-seen-an-unprecedented-increase-in-menstrual-abnormalities.-dr.-james-th.html
[1] https://twitter.com/ABridgen/status/1613842568412037121/photo/1
[1] https://twitter.com/ABridgen/status/1614215854962491395/video/1
[1] https://twitter.com/ash_stewart_/status/1614256042912759813
[1] https://twitter.com/healthbyjames/status/1614384626969067520

Top URLs in Tweet in G9:
[3] https://twitter.com/rothschildmd/status/1614092499525722113/photo/1
[3] https://twitter.com/19joho/status/1614400982942875648/photo/1
[1] https://www.amazon.com/Storm-Upon-Us-Conspiracy-Everything/dp/1612199291/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=&sr=
[1] https://twitter.com/ABridgen/status/1614560790115192832
[1] https://twitter.com/19joho/status/1614400982942875648
[1] https://twitter.com/rothschildmd/status/1614092499525722113
[1] https://twitter.com/rohangilkes/status/1614387638743752705/photo/1
[1] https://clubhousevaccinebs.notion.site/da7bc3f261f4494aa473f7b53c289838?v=b30a7ca088af47dba53387d73bec578e

Top URLs in Tweet in G10:
[2] https://twitter.com/i/spaces/1RDGlakzADRJL
[2] https://twitter.com/Reuters/status/1614078706170970112
[2] https://sciencebasedmedicine.org/died-suddenly-a-tsunami-of-antivax-misinformation-and-conspiracy-theories/
[1] https://twitter.com/i/spaces/1RDGlakzADRJL?s=20
[1] https://twitter.com/nelsonepega/status/1614466530372091904
[1] https://www.fox5vegas.com/2023/01/06/student-las-vegas-school-dies-after-medical-emergency-during-sports-event/
[1] https://www.theblaze.com/news/ahmaad-galloway-dies-suddenly-alabama-athlete
[1] https://www.snopes.com/news/2023/01/13/lisa-marie-presley-cause-of-death-covid-vaccine/
[1] https://twitter.com/thereal_truther/status/1614755718133088259
[1] https://twitter.com/thereal_truther/status/1614765098446499840?t=oiVKK-VtDwGwTXSPGr26Cw&s=19

Top Domains
Top Domains in Tweet in Entire Graph:
[947] twitter.com
[32] youtube.com
[23] sciencebasedmedicine.org
[15] odysee.com
[15] resistancextremismes.eu
[14] lemonde.fr
[13] public.fr
[12] washingtonpost.com
[10] wsj.com
[9] co.uk

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

Top Domains in Tweet in G2:
[45] twitter.com
[2] resistancextremismes.eu
[1] odysee.com
[1] thelancet.com
[1] tf1info.fr
[1] youtube.com
[1] reseauinternational.net

Top Domains in Tweet in G3:
[82] twitter.com
[13] resistancextremismes.eu
[3] thewrap.com
[1] liberation.fr
[1] politico.eu
[1] public.fr
[1] valeursactuelles.com
[1] i24news.tv
[1] odysee.com

Top Domains in Tweet in G4:
[38] twitter.com
[6] sciencebasedmedicine.org
[3] medium.com
[2] youtube.com
[2] change.org
[2] sciencedirect.com
[1] reuters.com
[1] 20minutes.fr
[1] theguardian.com
[1] retractionwatch.com

Top Domains in Tweet in G5:
[53] twitter.com
[1] utreon.com
[1] 20min.ch
[1] tf1info.fr
[1] liberation.fr
[1] futura-sciences.com
[1] leparisien.fr
[1] pjmedia.com
[1] 20minutes.fr
[1] bm-lyon.fr

Top Domains in Tweet in G6:
[45] twitter.com
[1] people.com
[1] substack.com
[1] ajicjournal.org
[1] wnct.com
[1] washingtonpost.com
[1] com.au
[1] google.com

Top Domains in Tweet in G7:
[39] twitter.com
[4] wsj.com
[3] odysee.com
[2] sorryantivaxxer.com
[2] co.uk
[1] irishtimes.com
[1] lemonde.fr
[1] dailycaller.com
[1] npr.org
[1] waza-tech.com

Top Domains in Tweet in G8:
[26] twitter.com
[2] nejm.org
[1] rumble.com

Top Domains in Tweet in G9:
[10] twitter.com
[1] amazon.com
[1] notion.site

Top Domains in Tweet in G10:
[14] twitter.com
[3] sciencebasedmedicine.org
[1] fox5vegas.com
[1] theblaze.com
[1] snopes.com
[1] respectfulinsolence.com
[1] nih.gov
[1] reuters.com
[1] hopkinsmedicine.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[248] antivax
[53] unjouruncovidiot
[42] wrongagainivor
[40] poutine
[36] désinformation
[28] antivaxxers
[23] vaccin
[17] covid19
[14] unvaccinated
[13] proputin



Top Hashtags in Tweet in G2:
[5] antivax
[3] unjouruncovidiot
[2] covid
[2] fakenews
[1] reintegrezlessuspendus
[1] macrondestitution
[1] macrondegage
[1] hermancainaward
[1] twitter
[1] cancer

Top Hashtags in Tweet in G3:
[54] antivax
[33] poutine
[33] désinformation
[8] proputin
[8] antivaccins
[6] unjouruncovidiot
[6] mort
[5] justicepourlessuspendus
[4] kremlin
[4] cnews

Top Hashtags in Tweet in G4:
[41] wrongagainivor
[3] antivax
[3] antivaxxers
[1] selfown
[1] foutagedegueule
[1] contreattaque
[1] atomvaffe
[1] 30plee
[1] unvaccinated
[1] covid19

Top Hashtags in Tweet in G5:
[14] antivax
[7] complotisme
[7] covidiot
[4] unjouruncovidiot
[2] perronne
[2] harcèlement
[2] complotistes
[2] lfi
[1] covid19
[1] vaccin

Top Hashtags in Tweet in G6:
[8] antivax
[2] covid19
[2] diedsuddenly
[2] getvaccinated
[1] antivaxxer
[1] vaccine
[1] stupidity

Top Hashtags in Tweet in G7:
[17] antivax
[3] covid
[3] antivaxxers
[2] antimasque
[2] unvaxxed
[2] vaccines
[2] covidvaccine
[2] covidvaccines
[1] odysee
[1] ireland

Top Hashtags in Tweet in G8:
[4] antivax
[2] antivaxxers
[2] vaccinehesitancy
[2] vaccinesafety
[2] bloodclot
[2] seizures
[2] heartfailure
[2] cardiomyopathy
[2] andrewbridgen
[1] vaccineswork

Top Hashtags in Tweet in G10:
[1] diedsuddenly

Top Words
Top Words in Tweet in Entire Graph:
[3142] antivax
[1575] covid
[838] cdc
[823] gt
[821] stroke
[813] 65
[804] ม
[804] อ
[803] ยงว
[803] ของ

Top Words in Tweet in G1:
[804] ม
[804] อ
[803] าวน
[803] cdc
[803] แจ
[803] มข
[803] gt
[803] คนถามเก
[803] บข
[803] 65

Top Words in Tweet in G2:
[883] covid
[484] debunkeretoiles
[426] jamais
[423] ai
[423] été
[423] 99
[423] vacciné
[423] jours
[423] mon
[423] militant

Top Words in Tweet in G3:
[260] antivax
[88] ce
[82] c'est
[56] frenchieinlimbo
[54] cnews
[54] cette
[54] fait
[53] #antivax
[52] sont
[51] covid

Top Words in Tweet in G4:
[108] antivax
[48] dr_barrett
[48] fatemperor
[44] good
[43] need
[42] laugh
[42] sent
[41] bob
[41] field
[41] sideshow

Top Words in Tweet in G5:
[123] antivax
[47] 2_expat
[32] ce
[31] ça
[31] c'est
[29] veroniquegenest
[28] mais
[23] sont
[23] plus
[22] ils

Top Words in Tweet in G6:
[116] antivax
[95] healthbyjames
[27] people
[23] vaccine
[21] needles
[21] covid
[16] one
[16] re
[15] vaccines
[15] know

Top Words in Tweet in G7:
[137] antivax
[23] twitter
[19] people
[17] anti
[17] #antivax
[16] covid
[15] tweets
[12] vaccine
[11] pro
[11] getting

Top Words in Tweet in G8:
[73] antivax
[47] abridgen
[17] people
[16] covid
[15] happened
[12] bone00afide
[12] don
[12] used
[12] anti
[11] one

Top Words in Tweet in G9:
[132] antivax
[104] rothschildmd
[99] talking
[99] point
[92] people
[90] guess
[89] things
[89] terrified
[88] absolutely
[88] vaccinated

Top Words in Tweet in G10:
[81] antivax
[33] risk
[30] stkirsch
[26] people
[24] cliftonaduncan
[18] vaccine
[18] those
[17] gorskon
[17] covid
[15] stratification

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[804] gt,65
[803] ม,คนถามเก
[803] stroke,เพ
[803] คนถามเก,ยวก
[803] บข,าวน
[803] การณ,ของ
[803] นพบส,ญญาณอ
[803] ของ,stroke
[803] คซ,นพบส
[803] ค,อ

Top Word Pairs in Tweet in G1:
[803] งว,าระบบรายงานผลข
[803] นในคนอาย,gt
[803] cdc,แจ
[803] าระบบรายงานผลข,างเค
[803] ยวก,บข
[803] ค,อ
[803] บข,าวน
[803] gt,65
[803] ต,การณ
[803] การณ,ของ

Top Word Pairs in Tweet in G2:
[420] été,vacciné
[419] jamais,été
[419] covid,ai
[419] mon,covid
[419] jours,militant
[419] covid,duré
[419] duré,jours
[419] 99,taux
[419] ai,jamais
[419] vacciné,mon

Top Word Pairs in Tweet in G3:
[33] #poutine,#désinformation
[33] #désinformation,issue
[33] issue,kremlin
[33] article,étranger
[33] d'un,article
[33] rappel,d'un
[33] liens,#antivax
[33] #antivax,#poutine
[33] étranger,liens
[32] kremlin,ex

Top Word Pairs in Tweet in G4:
[41] fatemperor,sideshow
[41] #wrongagainivor,fatemperor
[41] sideshow,bob
[41] sent,need
[41] need,good
[41] bob,field
[41] usual,#wrongagainivor
[41] laugh,usual
[41] good,laugh
[40] dr_barrett,sent

Top Word Pairs in Tweet in G5:
[9] quand,antivax
[9] 2_expat,quand
[9] aux,usa
[8] plan,aux
[8] premier,plan
[8] cirsten,weldon
[8] tôt,cause
[8] weldon,était
[8] cause,faisant
[8] promotrice,qanon

Top Word Pairs in Tweet in G6:
[8] scared,needles
[8] antivax,propaganda
[6] healthbyjames,antivax
[6] covid,vaccine
[5] primalvalor,healthbyjames
[5] antivax,nonsense
[5] anti,vax
[5] antivax,people
[5] beechbum,healthbyjames
[4] healthbyjames,re

Top Word Pairs in Tweet in G7:
[5] antivax,shit
[5] being,antivax
[5] antivax,anti
[4] antivax,tweets
[3] ve,seen
[3] getting,antivax
[3] cole,beasley
[3] anti,vax
[3] mrna,vaccines
[3] #antivax,#antivaxxers

Top Word Pairs in Tweet in G8:
[8] bendyben999,abridgen
[8] abridgen,antivax
[7] antivax,happened
[7] pathetic,don
[7] happened,significant
[7] provax,antivax
[7] re,provax
[7] happened,people
[7] care,re
[7] don,care

Top Word Pairs in Tweet in G9:
[101] rothschildmd,antivax
[98] antivax,talking
[88] absolutely,terrified
[88] vaccinated,people
[88] things,guess
[88] people,absolutely
[88] point,vaccinated
[88] terrified,things
[88] talking,point
[13] domain,upper

Top Word Pairs in Tweet in G10:
[15] risk,stratification
[14] highest,risk
[14] cliftonaduncan,markawoolard
[14] stratification,long
[14] code,soft
[14] antivax,those
[14] risk,disease
[14] those,highest
[14] long,code
[14] form,antivax

Top Replied-To
Top Replied-To in Entire Graph:
@healthbyjames
@debunkeretoiles
@michelletouss32
@2_expat
@drmeenalviz
@pierrejovanovic
@cnews
@limportant_fr
@drneilstone
@timrunshismouth

Top Replied-To in G2:
@debunkeretoiles
@niusmarco
@f_philippot
@jkriss33
@janleclerc
@realramuncho
@bigmonarque
@1arcet1fleche
@lesiberiendu93
@upr_asselineau

Top Replied-To in G3:
@cnews
@myriampalomba
@borowskimike
@beatrice_rosen
@hhomongos
@marryyouproject
@medelguer
@tcabarrus
@leoptiflow
@vauban13y

Top Replied-To in G4:
@draseemmalhotra
@tylerblack32
@cjsnowdon
@talerman
@alastairmca30
@imcrescentfresh
@alorsamed
@dr_barrett
@fatemperor
@lozzafox

Top Replied-To in G5:
@2_expat
@sebasti71510724
@le_parisien
@renkatroussier2
@louisethibaul15
@veroniquegenest
@christophesage
@augustincriel
@flanopruno
@nathmalfait

Top Replied-To in G6:
@healthbyjames
@thedrjon
@tarawinterr
@parleavecley
@eska80
@faxofguy
@jeanniemarbuck
@kbsn4433
@tommyg35138533
@jeff__perrine

Top Replied-To in G8:
@abridgen
@bendyben999
@squeezyjohn
@portis1000
@drloupis
@alexberenson
@healthbyjames
@jillpal31511459
@janejohnsonbakr
@kookcove

Top Replied-To in G9:
@mrbrooks265
@rothschildmd
@an_ordinary_ash
@qorigins
@nohaaboelatamd
@nikkim95301756
@lupefiasco
@timrunshismouth
@ljtnelson

Top Replied-To in G10:
@thereal_truther
@stkirsch
@cliftonaduncan
@jo_regular
@marionawfal
@lexnvenerate
@lsdres
@gorskon
@justsaynope
@desireed72

Top Mentioned
Top Mentioned in Entire Graph:
@manopsi
@debunkeretoiles
@rothschildmd
@vaccinologie
@vaxxersanti
@lehmanndrc
@alexisphilo
@frenchieinlimbo
@healthbyjames
@jmyremets

Top Mentioned in G1:
@manopsi

Top Mentioned in G2:
@debunkeretoiles
@f_philippot
@janleclerc
@sanchezodile12
@niusmarco
@upr_asselineau
@franceinter
@bb11612455
@bigmonarque
@pierren04450898

Top Mentioned in G3:
@frenchieinlimbo
@cdechavanne
@cnews
@chtaubira
@emmanuelmacron
@elisabeth_borne
@myriampalomba
@libe
@thierrycogne
@france2tv

Top Mentioned in G4:
@dr_barrett
@fatemperor
@draseemmalhotra
@youtube
@johnincarlisle
@guardian
@carletdesiles
@barryjohnreid21
@albowers1
@drsusanoliver1

Top Mentioned in G5:
@2_expat
@veroniquegenest
@renkatroussier2
@alblevert
@le_parisien
@sectarismeinfo
@minkaoceane_dr
@ericdesiorac
@footingfoutu
@debunkeretoiles

Top Mentioned in G6:
@healthbyjames
@trashta85478589
@beechbum
@oraclerod
@primalvalor
@thedrjon
@timbryson16
@everyalbertan
@postalwm
@eska80

Top Mentioned in G7:
@debeauxos1

Top Mentioned in G8:
@abridgen
@bone00afide
@p_mcculloughmd
@vprasadmdmph
@maddow
@kallmemeg
@brincobrinco
@draseemmalhotra
@drlucymcbride
@bmorecardiology

Top Mentioned in G9:
@rothschildmd
@rohangilkes
@sjs856
@lupefiasco
@an_ordinary_ash
@thevegdoc
@malcolmnance
@nohaaboelatamd

Top Mentioned in G10:
@stkirsch
@cliftonaduncan
@markawoolard
@gorskon
@petersweden7
@nathaliejacoby1
@hergie409
@doctor_eric_b
@reuters
@lukewestbooks

Top Tweeters
Top Tweeters in Entire Graph:
@filafresh
@teamyoutube
@roblwilson
@_redfrog
@lizditz
@nathuhiqx
@marthalynneowe1
@limportant_fr
@baebae9700
@marclandes40

Top Tweeters in G1:
@nathuhiqx
@baebae9700
@1112enny
@biubarb_
@nanpaninan
@tomtamkt
@mickeynuttt
@lovelovesgl
@kwontouchyoon
@bamabq

Top Tweeters in G2:
@anydel
@clemence442
@hspilots
@saaaaf__
@augustacrochet
@cd_land
@sims_templar
@1_autre
@krysaliah
@quelconque__

Top Tweeters in G3:
@deycatherine1
@yvespdb
@sol121nadia
@florthense
@eric_vds
@olydiver
@lilibrinderbe
@jihel93
@sandrafellous_
@jrs55963004

Top Tweeters in G4:
@teamyoutube
@guardian
@fascinatorfun
@rolo_tamasi
@doritmi
@pash22
@thetimes
@docrussjackson
@frozenwarning
@monstercoyliar

Top Tweeters in G5:
@bourganne
@le_parisien
@thferrier
@lauredemontalem
@zetwitty
@mick_351
@sagittariushh
@otecam92
@liberteac
@thedarkdweller

Top Tweeters in G6:
@tonychiaroscuro
@alex_pundit
@jcarlosfox
@trhlofficial
@pejjsisjs
@joshanimator
@telfordvillan
@drrobthompson
@beechbum
@rebelpuss

Top Tweeters in G7:
@debeauxos1
@dailycaller
@vandalyzm
@vijmn
@cyrusshares
@moon_river05
@wilsoa2000
@navoschmavo
@adia66
@arthurandress

Top Tweeters in G8:
@doodlestrks
@cnbc
@susanchubb1
@cnn
@peterjukes
@msnbc
@miffythegamer
@_redwalrus_
@mpfeldhoff
@have_thatgoing4

Top Tweeters in G9:
@filafresh
@jameskthompson1
@shasta_otter
@msdixiediva8253
@soapdemon34
@imagefeeder
@ojigbeready
@newkingofmedia
@llunatrexing
@duke_unreal

Top Tweeters in G10:
@lizditz
@reuters
@thereal_truther
@brentwi16609490
@justsaynope
@capitalics
@peacehopeful1
@gorskon
@webb0412
@torstrick