antivaxx, Twitter, 3/18/2023 3:17:40 PM, 291505


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antivaxx_2023-03-18_08-00-01.xlsx
antivaxx_2023-03-18_08-00-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 18, 2023
Short Description:
antivaxx via NodeXL https://bit.ly/3LyRS81
@elonmusk
@alastairmca30
@myriampalomba
@robertkennedyjr
@leonard1nimoy
@reacharoundu
@caulfieldtim
@florianj69
@19joho
@dense_evi

Top hashtags:
#woodyharrelson
#antivaxx
#covid19
#nafo
#papillomavirus
#covid
#vaccines
#snl

Description:
Description
The graph represents a network of 7,641 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 15:07 UTC.

The tweets in the network were tweeted over the 1035-day, 12-hour, 57-minute period from Saturday, 16 May 2020 at 10:54 UTC to Friday, 17 March 2023 at 23:51 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 : 7641
Unique Edges : 6259
Edges With Duplicates : 13091
Total Edges : 19350
Number of Edge Types : 9
Replies to : 3772
MentionsInReplyTo : 8709
Tweet : 1035
Retweet : 1989
MentionsInRetweet : 2903
Quote : 359
Mentions : 247
MentionsInQuote : 102
MentionsInQuoteReply : 234
Self-Loops : 1501
Reciprocated Vertex Pair Ratio : 0.0651140223192625
Reciprocated Edge Ratio : 0.122266763848397
Connected Components : 1139
Single-Vertex Connected Components : 215
Maximum Vertices in a Connected Component : 3866
Maximum Edges in a Connected Component : 11996
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.052656
Graph Density : 0.000188018481175198
Modularity : 0.531192
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,641 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 15:07 UTC.

The tweets in the network were tweeted over the 1035-day, 12-hour, 57-minute period from Saturday, 16 May 2020 at 10:54 UTC to Friday, 17 March 2023 at 23:51 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:
[144] https://www.rollingstone.com/tv-movies/tv-movie-recaps/woody-harrelson-snl-monologue-anti-vax-rant-conspiracy-theory-1234686880/
[51] https://twitter.com/_samedi_/status/1629781880483586048/video/1
[25] https://www.tmz.com/2023/01/29/zachary-levi-agrees-pfizer-danger-to-world-antivaxx/
[17] https://twitter.com/freethinkfacts/status/1627730178561671168?s=46&t=ohke0bVvjkddLd9u49-QMA
[14] https://www.aap.com.au/factcheck/doctors-vaccine-claim-fails-to-cough-up-the-truth/
[13] https://www.motherjones.com/environment/2023/03/anti-vax-east-palestine-free-healthcare/
[12] https://thedailyblog.co.nz/2023/03/01/wuhan-lab-leak-vs-nord-stream-2-bombing-vs-latest-antivaxx-claims/
[11] https://twitter.com/astraellie/status/1635402069262897152
[9] http://www.shazammovie.com/
[7] https://q107.com/news/9513836/woody-harrelson-anti-vaccine-snl-joke/

Top URLs in Tweet in G1:
[4] https://twitter.com/19joho/status/1631405588813950980/photo/1
[4] https://twitter.com/TheSecretSarah/status/1636027612802818052/photo/1
[3] https://twitter.com/TheSecretSarah/status/1630463989632098310/photo/1
[2] https://pubmed.ncbi.nlm.nih.gov/35142702/
[2] https://retractionwatch.com/2021/11/09/bad-math-covid-treatment-paper-by-pierre-kory-retracted-for-flawed-results/
[2] https://www.vice.com/en/article/n7nqm7/mysterious-medical-organizations-are-calling-for-an-end-to-covid-vaccines
[2] https://twitter.com/DrAseemMalhotra/status/1635982796219899904
[2] https://twitter.com/RobertKennedyJr/status/1631711811014729743/photo/1
[2] https://www.aap.com.au/factcheck/doctors-vaccine-claim-fails-to-cough-up-the-truth/
[2] https://twitter.com/AlastairMcA30/status/1635311241051930624

Top URLs in Tweet in G2:
[5] https://twitter.com/CheckNewsfr/status/1631331943286489093
[4] https://twitter.com/arikouts/status/1631617995834380290/photo/1
[4] https://twitter.com/MvuluziKongo/status/1632288558793863168/photo/1
[3] https://twitter.com/dense_evi/status/1628120865652019217?s=20
[3] https://www.ina.fr/ina-eclaire-actu/video/r20085806/d-raoult-vaccination-h1n1
[3] https://twitter.com/le_Parisien/status/1630571472275087361
[3] https://twitter.com/KimJongUnique/status/1629103097577455616/photo/1
[2] https://www.rtl.fr/actu/sante/invite-rtl-michel-cymes-il-faut-arreter-de-donner-la-parole-aux-antivax-7900244188
[2] https://twitter.com/Leonard1Nimoy/status/1632360465970896896/photo/1
[2] https://www.conspiracywatch.info/pierre-chaillot-itineraire-dun-best-seller-covido-sceptique.html

Top URLs in Tweet in G3:
[142] https://www.rollingstone.com/tv-movies/tv-movie-recaps/woody-harrelson-snl-monologue-anti-vax-rant-conspiracy-theory-1234686880/
[12] https://www.motherjones.com/environment/2023/03/anti-vax-east-palestine-free-healthcare/
[11] https://www.aap.com.au/factcheck/doctors-vaccine-claim-fails-to-cough-up-the-truth/
[7] https://q107.com/news/9513836/woody-harrelson-anti-vaccine-snl-joke/
[4] https://twitter.com/nbcsnl/status/1629884774155165699/photo/1
[4] https://twitter.com/Alice_636/status/1630064506322788353/photo/1
[3] https://media-cldnry.s-nbcnews.com/image/upload/today/z_creative/WeaponizedHealthCommunicationDavid%20BFULLSTUDY.PDF
[2] https://twitter.com/arraksmannen/status/1628718638285848577
[1] https://twitter.com/kallkritikbyran/status/1630573767737896961
[1] https://twitter.com/mathiasced/status/1636029620783833092/photo/1

Top URLs in Tweet in G4:
[4] https://twitter.com/IsallGod2/status/1634223585744101377/photo/1
[4] https://www.williamquincybelle.com/2022/02/covid-what-if-us-was-like-canada.html
[3] https://www.dreuz.info/2023/03/mon-ami-lantivaxx-278561.html
[3] https://thedailyblog.co.nz/2023/03/01/wuhan-lab-leak-vs-nord-stream-2-bombing-vs-latest-antivaxx-claims/
[3] https://twitter.com/SloGossip/status/1631000238361116684/photo/1
[3] https://twitter.com/SloGossip/status/1605389640722251780/photo/1
[3] https://twitter.com/EamonnMooreArt/status/1634316423844569088/photo/1
[3] https://twitter.com/minolovemail/status/1415871419884478466/photo/1
[2] https://twitter.com/albinnorman_/status/1631317588385955845/photo/1
[2] https://twitter.com/TossingWaffles/status/1634226684474933249/photo/1

Top URLs in Tweet in G5:
[17] https://twitter.com/freethinkfacts/status/1627730178561671168?s=46&t=ohke0bVvjkddLd9u49-QMA
[1] https://twitter.com/Food4ears/status/1629828715873030147/photo/1
[1] https://www.youtube.com/watch?v=VyxFOzS1umU&feature=youtu.be

[1] https://twitter.com/Food4ears/status/1633724593880875012/photo/1
[1] https://twitter.com/NDikkeboom/status/1633717002186502144
[1] https://twitter.com/Soufmd1/status/1627362761935028230/video/1
[1] https://twitter.com/CNN/status/1631916147615444992
[1] https://trib.al/y1nrScO
[1] https://twitter.com/sailorrooscout/status/1636021482219347970/photo/1
[1] https://twitter.com/2021JustJen/status/1634862796805488640/photo/1

Top URLs in Tweet in G6:
[2] https://twitter.com/goddeketal/status/1635360805377183744/photo/1
[1] https://twitter.com/reacharoundu/status/1633025595205632000/photo/1
[1] https://twitter.com/reacharoundu/status/1634822167820132352/photo/1
[1] https://twitter.com/reacharoundu/status/1635459012627144704/photo/1
[1] https://twitter.com/reacharoundu/status/1632899002047021056/photo/1
[1] https://twitter.com/reacharoundu/status/1629697851554156552/photo/1
[1] https://twitter.com/goddeketal/status/1632506147470016514/photo/1
[1] https://twitter.com/PLANDEMIJA1/status/1633484529347227649
[1] https://twitter.com/goodfoodgal/status/1631993898653593600
[1] https://www.tiktok.com/@dannnyalexander/video/7204958912121048326

Top URLs in Tweet in G7:
[3] https://twitter.com/notimetobehere/status/1635626729304911872/photo/1
[2] https://twitter.com/JLBroomes/status/1629834442918465537/photo/1
[1] https://www.forbes.com/sites/brucelee/2023/02/24/lee-county-florida-republican-party-passes-resolution-to-ban-covid-19-vaccines/
[1] https://twitter.com/Gordana67016701/status/1491985959755431936/photo/1
[1] https://twitter.com/JLBroomes/status/1629830562230988802/photo/1
[1] https://twitter.com/JLBroomes/status/1634944528523366400/photo/1
[1] https://www.vancouverisawesome.com/local-news/a-bunch-of-garbage-vancouver-lawyer-debunks-anti-vax-mandate-protesters-media-liability-notices-5028258
[1] https://twitter.com/JLBroomes/status/1631318517277491200/photo/1
[1] https://twitter.com/libsoftiktok/status/1631313549204094982
[1] https://www.bostonglobe.com/2022/01/29/metro/rfk-jrs-antivaxx-crusade-deepens-rift-with-family-friends/

Top URLs in Tweet in G8:
[1] https://twitter.com/TaylorLorenz/status/1634288611402334208
[1] https://twitter.com/DeplorableNew/status/1633498683542065156
[1] https://www.youtube.com/shorts/w7ePbKSdudQ?feature=share

[1] https://www.youtube.com/watch?v=Fpu5a0Bl8eY&feature=youtu.be

[1] https://www.youtube.com/shorts/SlEvmHCi5-Q?feature=share


Top URLs in Tweet in G9:
[1] https://twitter.com/WGHealthandCare/status/1630872367361667073
[1] https://twitter.com/DavidPNoble63/status/1630482548223516672/photo/1
[1] https://twitter.com/IanCopeland5/status/1625014515262713858?t=ojuUzBPxV-4hKE5ZXKFp2w&s=19
[1] https://twitter.com/PeterJBeaver/status/1620279359901958146?t=GYANjW8ZXUrw2sKuSBE4xA&s=19
[1] https://twitter.com/DrCanuckMD/status/1618619893938786307?t=gDTk8h0cWUpHFFWqbbRBmg&s=19
[1] https://twitter.com/IanCopeland5/status/1619034842691440641?t=VBzQE60tmy1GbJSZTZcu0gcIctyw7F4n5nta93pWCSI&s=19
[1] https://twitter.com/RandomKiwiUS/status/1610747626701590529/photo/1
[1] https://twitter.com/FrancesLilianW1/status/1634698924291411968/photo/1
[1] https://www.gov.wales/get-your-covid-19-vaccination
[1] https://twitter.com/WGHealthandCare/status/1630872367361667073/photo/1

Top URLs in Tweet in G10:
[2] https://twitter.com/pjhlaw/status/1631930316737658881
[1] https://twitter.com/Otto_English/status/1631370578853609473/photo/1
[1] https://twitter.com/Jikkyleaks/status/1631518277678792707?s=20
[1] https://twitter.com/Jikkyleaks/status/1631623079616212992/photo/1
[1] https://twitter.com/carl_jurassic/status/1636079865442041856?s=20
[1] https://www.stuff.co.nz/national/health/116449847/the-disgraced-antivaxx-doctor-the-supermodel-and-the-measles-epidemic
[1] https://twitter.com/carl_jurassic/status/1636105860572237833/photo/1
[1] https://www.independent.co.uk/voices/editorials/antivaxx-measles-compulsory-vaccination-matt-hancock-editorial-a8899711.html
[1] https://twitter.com/carl_jurassic/status/1636106532466180097/photo/1
[1] https://twitter.com/i/web/status/1631898116784791552

Top Domains
Top Domains in Tweet in Entire Graph:
[1725] twitter.com
[147] rollingstone.com
[32] youtube.com
[25] tmz.com
[17] co.nz
[16] com.au
[15] vulture.com
[13] motherjones.com
[11] leparisien.fr
[9] shazammovie.com

Top Domains in Tweet in G1:
[154] twitter.com
[2] nih.gov
[2] retractionwatch.com
[2] vice.com
[2] teamkennedy.com
[2] com.au
[2] theguardian.com
[2] childrenshealthdefense.eu
[2] thelancet.com
[2] google.com

Top Domains in Tweet in G2:
[233] twitter.com
[9] youtube.com
[8] leparisien.fr
[4] lefigaro.fr
[3] rtl.fr
[3] liberation.fr
[3] ina.fr
[2] conspiracywatch.info
[2] ouest-france.fr
[1] 20minutes.fr

Top Domains in Tweet in G3:
[142] rollingstone.com
[37] twitter.com
[12] motherjones.com
[11] com.au
[7] q107.com
[3] s-nbcnews.com
[1] counterhate.com
[1] thelancet.com
[1] kallkritikbyran.se
[1] nationalmouth.com

Top Domains in Tweet in G4:
[78] twitter.com
[5] co.nz
[4] youtube.com
[4] williamquincybelle.com
[3] dreuz.info
[2] spotify.com
[1] theconversation.com
[1] mbl.is
[1] vulture.com
[1] jacobin.com

Top Domains in Tweet in G5:
[52] twitter.com
[2] youtube.com
[1] trib.al
[1] davidicke.com
[1] leidschdagblad.nl
[1] nejm.org
[1] vulture.com
[1] nu.nl
[1] substack.com
[1] hilarispublisher.com

Top Domains in Tweet in G6:
[21] twitter.com
[1] tiktok.com
[1] businessinsider.com
[1] patrick.net

Top Domains in Tweet in G7:
[22] twitter.com
[1] forbes.com
[1] vancouverisawesome.com
[1] bostonglobe.com
[1] sorryantivaxxer.com

Top Domains in Tweet in G8:
[3] youtube.com
[2] twitter.com

Top Domains in Tweet in G9:
[12] twitter.com
[1] gov.wales
[1] oup.com
[1] nih.gov

Top Domains in Tweet in G10:
[12] twitter.com
[1] co.nz
[1] co.uk

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[153] woodyharrelson
[126] antivaxx
[41] covid19
[39] nafo
[25] papillomavirus
[20] covid
[19] vaccines
[15] snl
[14] shazammovie
[12] gardasil



Top Hashtags in Tweet in G1:
[20] covid19
[18] antivaxx
[16] vaccines
[7] antivaxxers
[6] conspiracytheories
[4] rochesterny
[2] misinformation
[2] pregnancy
[1] mds
[1] lowcarb

Top Hashtags in Tweet in G2:
[17] papillomavirus
[13] antivaxx
[7] gardasil
[6] myriampalombapedosataniste
[6] raoult
[5] poutine
[4] covid19
[3] antivax
[3] covid
[3] nazis

Top Hashtags in Tweet in G3:
[149] woodyharrelson
[21] antivaxx
[10] snl
[3] corona
[3] msm
[3] fhm
[3] svpol
[2] vaccineswork
[2] antivaxxare
[1] deathcultdarkage

Top Hashtags in Tweet in G4:
[13] antivaxx
[5] covid19
[4] covid
[4] vaccinehesitancy
[3] thelastofus
[3] nzpol
[2] vaccine
[2] coronavirus
[2] antivaxxers
[2] antivaccine

Top Hashtags in Tweet in G5:
[5] vaccineofdeath
[2] antivax
[2] antivaxxers
[2] unvaxxed
[2] unvaccinated
[1] stopwillemengel
[1] truthbomb
[1] freedumb
[1] antivaxx
[1] nafo

Top Hashtags in Tweet in G6:
[9] antivaxx
[6] activists
[3] grifter
[3] charlatan
[1] humanity
[1] humanitarian
[1] myths
[1] antisemitism

Top Hashtags in Tweet in G7:
[8] antivaxx
[3] fringe
[3] vaccinessavelives
[2] misinformation
[1] block
[1] antivaxxers
[1] covididiots
[1] disinformation
[1] crackpot
[1] obsessed

Top Hashtags in Tweet in G8:
[1] dating
[1] covid19
[1] pur
[1] snl
[1] comedy
[1] nbc

Top Hashtags in Tweet in G10:
[5] antivaxx
[2] dutchfarmer
[1] samoa
[1] vaccinecultist
[1] lockown
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[4166] antivaxx
[620] covid
[613] anti
[428] people
[418] c'est
[344] sont
[340] ce
[300] mais
[293] point
[279] plus

Top Words in Tweet in G1:
[566] antivaxx
[257] alastairmca30
[229] fear
[219] hard
[218] grifting
[218] point
[217] entire
[217] sells
[212] cash
[212] circuit

Top Words in Tweet in G2:
[543] antivaxx
[190] c'est
[166] ce
[141] fait
[138] sont
[137] mais
[135] ça
[118] vaccin
[105] plus
[87] tout

Top Words in Tweet in G3:
[175] caulfieldtim
[168] anti
[167] nbcsnl
[160] vax
[149] #woodyharrelson
[145] monologue
[144] marlownyc
[144] conspiracies
[143] during
[142] grrr

Top Words in Tweet in G4:
[204] antivaxx
[22] covid
[16] joel
[15] people
[15] one
[13] #antivaxx
[13] não
[11] pra
[11] pro
[11] uma

Top Words in Tweet in G5:
[82] antivaxx
[20] people
[20] talking
[19] covid
[18] actual
[18] abridgen
[17] topical
[17] vaccin
[17] steroids
[17] soufmd1

Top Words in Tweet in G6:
[41] antivaxx
[25] goddeketal
[12] more
[11] anti
[9] #antivaxx
[8] reacharoundu
[8] one
[7] alastairmca30
[7] credible
[7] never

Top Words in Tweet in G7:
[50] elonmusk
[39] antivaxx
[29] impartial
[28] fair
[28] marccormier
[28] judge
[28] education
[28] appointed
[28] training
[28] jury

Top Words in Tweet in G8:
[9] one
[8] antivaxx
[5] youtube
[4] vaccines
[4] remember
[4] caused
[4] scientist
[4] claiming
[4] corrupt
[4] autism

Top Words in Tweet in G9:
[44] antivaxx
[19] covid
[14] wales
[11] davidpnoble63
[11] re
[11] those
[10] over
[9] dgurdasani1
[9] waynemcdougall
[7] vaccines'

Top Words in Tweet in G10:
[65] antivaxx
[55] jikkyleaks
[47] well
[46] death
[44] rate
[44] course
[44] ecmo
[43] caz
[43] 40
[43] decided

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[232] antivaxx,grifting
[230] grifting,sells
[225] sells,hard
[220] point,antivaxx
[219] dedicated,whipping
[219] hard,entire
[219] whipping,fear
[219] entire,circuit
[219] fear,cash
[219] circuit,dedicated

Top Word Pairs in Tweet in G1:
[217] grifting,sells
[217] sells,hard
[216] antivaxx,grifting
[211] dedicated,whipping
[211] circuit,dedicated
[211] hard,entire
[211] entire,circuit
[211] fear,cash
[211] point,antivaxx
[211] whipping,fear

Top Word Pairs in Tweet in G2:
[32] aurait,fait
[31] pro,vaxx
[30] être,antivaxx
[30] macroniste,pro
[28] repenti,source
[28] cnews,macroniste
[28] fait,croire
[28] population,être
[28] source,lemonde
[28] croire,population

Top Word Pairs in Tweet in G3:
[158] anti,vax
[143] nbcsnl,monologue
[142] vax,conspiracies
[142] during,nbcsnl
[142] conspiracies,during
[142] spreads,anti
[142] grrr,#woodyharrelson
[142] #woodyharrelson,spreads
[142] monologue,marlownyc
[141] caulfieldtim,grrr

Top Word Pairs in Tweet in G4:
[6] joel,miller
[4] sumerian,records
[4] parce,qu'il
[4] woody,harrelson
[4] country,#covid19
[4] antivaxx,covid
[4] compared,another
[4] another,country
[4] #covid,compared
[4] joel,antivaxx

Top Word Pairs in Tweet in G5:
[17] soufmd1,actual
[17] cynthia,talking
[17] talking,topical
[17] topical,steroids
[17] actual,tiktok
[17] tiktok,cynthia
[16] freethinkfacts,soufmd1
[16] steroids,vaccin
[8] vaxxersanti,ke0oea
[6] debunk_the_funk,teamyoutube

Top Word Pairs in Tweet in G6:
[6] #antivaxx,#activists
[6] antivaxx,grifting
[6] estimated,more
[6] #activists,health
[6] health,nation
[6] grifting,sells
[6] devastating,impact
[6] hardly,estimated
[6] nation,hardly
[6] goddeketal,kieraevebutler

Top Word Pairs in Tweet in G7:
[28] jury,fair
[28] appointed,judge
[28] judge,jury
[28] fair,impartial
[28] elonmusk,appointed
[28] impartial,training
[28] marccormier,elonmusk
[28] training,education
[4] covid,19
[3] more,antivaxx

Top Word Pairs in Tweet in G8:
[4] long,debunked
[4] claiming,vaccines
[4] vaccines,caused
[4] corrupt,scientist
[4] done,corrupt
[4] caused,autism
[4] y'all,remember
[4] scientist,long
[4] remember,one
[4] one,'study'

Top Word Pairs in Tweet in G9:
[7] brigade,jump
[7] govt,narrative
[7] those,eligible
[7] becoming,increasingly
[7] antivaxx,brigade
[7] sure,antivaxx
[7] increasingly,antivaxx
[7] over,mild
[7] jump,'even
[7] wales,cancels

Top Word Pairs in Tweet in G10:
[43] ecmo,40
[43] caz,course
[43] 40,death
[43] go,ecmo
[43] decided,go
[43] course,antivaxx
[43] rate,well
[43] well,caz
[43] death,rate
[42] jikkyleaks,decided

Top Replied-To
Top Replied-To in Entire Graph:
@leonard1nimoy
@myriampalomba
@florianj69
@finstreet
@mickaelnice
@f_philippot
@borowskimike
@tristanmf
@checknewsfr
@warnerbrosuk

Top Replied-To in G1:
@rcr_pereira
@marikasboros
@thereal_truther
@vigilantfox
@maggsnaidu
@alastairmca30
@draseemmalhotra
@proftimnoakes
@patriottakes
@19joho

Top Replied-To in G2:
@leonard1nimoy
@myriampalomba
@florianj69
@finstreet
@mickaelnice
@f_philippot
@tristanmf
@borowskimike
@checknewsfr
@drfranckclarot

Top Replied-To in G3:
@nbcsnl
@nfbrennan
@caulfieldtim
@arraksmannen
@jacobgudiol
@timrunshismouth
@thegreatintell1
@wtfis2bdone
@thelawofwork
@darkhorsecrypt2

Top Replied-To in G5:
@slowjoeyaknow
@food4ears
@vaxxersanti
@sailorrooscout
@censored4sure
@abridgen
@drelidavid
@iancopeland5
@david__molenaar
@ave_satani_

Top Replied-To in G6:
@reacharoundu
@goddeketal
@mopmop85
@mike38203027
@goingknightly
@drloupis
@takeamericabac2
@lisatow17296966
@jovemarie2
@smallbreamboy

Top Replied-To in G7:
@elonmusk
@kanekoathegreat
@as_per_danielle
@adamg620
@jlbroomes
@myriampalomba
@iamharaldur
@peterhotez
@colelcollinss
@realstewpeters

Top Replied-To in G8:
@maroliahash
@aprilligeia
@imudlet
@digivorr
@deplorablenew
@terrysparrow4

Top Replied-To in G9:
@waynemcdougall
@dgurdasani1
@franceslilianw1
@desty_tiara
@1goodtern
@drjackiestone
@synthige
@artfuldodger808
@clintwatson303
@rolla_nz

Top Replied-To in G10:
@otto_english
@jikkyleaks
@cannula_service
@tanstech
@zachzeller4
@stirredcrazy
@upyoursklaus
@admalez
@narc_doc
@angelsfeartogo

Top Mentioned
Top Mentioned in Entire Graph:
@alastairmca30
@caulfieldtim
@nbcsnl
@marlownyc
@our_da
@rcr_pereira
@district12kitty
@19joho
@eclecticbrotha
@jikkyleaks

Top Mentioned in G1:
@alastairmca30
@our_da
@rcr_pereira
@19joho
@draseemmalhotra
@jay_naidoo
@marikasboros
@robertkennedyjr
@marcusfitzsimon
@vigilantfox

Top Mentioned in G2:
@myriampalomba
@cnews
@barriere_dr
@moustac99210875
@f_philippot
@julienpain
@debunkeretoiles
@checknewsfr
@pascalpraud
@senseurfr

Top Mentioned in G3:
@caulfieldtim
@nbcsnl
@marlownyc
@mathiasced
@sarahdocouto
@woodyharrelson
@jacobgudiol
@peacock
@this_is_mallory

Top Mentioned in G4:
@emffact
@wqbelle
@minolovemail

Top Mentioned in G5:
@freethinkfacts
@soufmd1
@abridgen
@teamyoutube
@debunk_the_funk
@iancopeland5
@luketheduke1960
@drelidavid
@hdrsslr
@tomxtheys

Top Mentioned in G6:
@goddeketal
@alastairmca30
@philippmarkolin
@kieraevebutler
@drsusanoliver1
@realitylz
@ho_neah
@goodfoodgal
@richykirsh
@doritmi

Top Mentioned in G7:
@elonmusk
@marccormier
@krassenstein
@twitter
@kanekoathegreat
@peterhotez
@tbofcanada
@vvalkyri
@disneykid1955
@milenaamit

Top Mentioned in G8:
@youtube
@dirk_fasshauer
@momo0fcourse
@secularsmurf
@briannazarenus
@d_d_1983
@robburdack
@quantumhawk666
@infinitmveritum
@nhoomans

Top Mentioned in G9:
@davidpnoble63
@dgurdasani1
@repthomasmassie
@saffiya_khan1
@ckellyuap
@rachelle_hulme
@addyspectre1
@19joho
@powderpuffplay
@lynnemariep1

Top Mentioned in G10:
@jikkyleaks
@thebma
@ali__samson
@mtgreenee
@pjhlaw
@otto_english
@iambrookjackson
@westmidsbma
@julius_kim
@annaholligan

Top Tweeters
Top Tweeters in Entire Graph:
@teamyoutube
@s9tmt
@independent
@cloudwanderer3
@lizditz
@blueflower1096
@limportant_fr
@allchanges
@botliberalisme
@inachiveg

Top Tweeters in G1:
@independent
@lizditz
@deepvard
@khuze_elikhulu
@kimvie
@jodotcom
@inpoco
@mistergeezy
@wheelsntoys
@weskusgogga

Top Tweeters in G2:
@botliberalisme
@le_figaro
@le_parisien
@florthense
@rtlfrance
@cnews
@lehmanndrc
@libe
@clbear31
@bleuet1091

Top Tweeters in G3:
@1loriking
@akuma_river
@denniskoch10
@princessbravato
@yayayarndiva
@victory1261
@smc429
@foxnews
@blackha45411608
@abc

Top Tweeters in G4:
@sylvaners
@namjgguk
@rgc_bppa
@gabilfs
@diegokermit
@porumtrys
@bretonsteph35
@inarot3f
@daniel_barker
@kamponez

Top Tweeters in G5:
@teamyoutube
@cmargaronis
@tbell1968
@bbcnews
@cnn
@bunneeshelton
@notcapnamerica
@peterrabbit67
@freethinkfacts
@jamiesbowen

Top Tweeters in G6:
@monstercoyliar
@takethatct
@kingtherapy
@angryfleas
@joank61728179
@nockit1
@mopmop85
@wendyorent
@incitatusalpha
@pawley_robert

Top Tweeters in G7:
@forbes
@andreaholsomba2
@columbiabugle
@ausetkmt
@lulubelles90210
@notimetobehere
@balloonstrings
@_loobyloo
@pamela25087346
@awunderhund

Top Tweeters in G8:
@thereseosulliv2
@vickie627
@vincegottalotta
@42gnome
@taygee
@deplorablenew
@scientiapercept
@fwe1991
@deanomartino1
@shellyrkirchoff

Top Tweeters in G9:
@saffiya_khan1
@imelda_mairead
@katecushing2
@paul68958640
@_mamadeb
@gvg1
@lapps100
@knightrustyarm
@just4thecause
@hct2906

Top Tweeters in G10:
@plivestrong
@andrewonseeair
@maryspes
@ferretgrove
@otto_english
@bricolix
@wellnessfr
@celestite66
@cathandfearne
@dcb72