COVID, Twitter, 3/15/2023 7:46:30 AM, 291228


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COVID_2023-03-15_00-34-41.xlsx
COVID_2023-03-15_00-34-41.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 15, 2023
Short Description:
COVID via NodeXL https://bit.ly/3yBXmaq
@vigilantfox
@drelidavid
@ollie2016wall1
@ministervws
@el_bx
@joebiden
@manutosmonot
@unhealthytruth
@dc_draino
@angryfleas

Top hashtags:
#covid
#covid19
#chávezantiimperialista
#longcovid
#fuoridalcoro
#covid_19

Description:
Description
The graph represents a network of 7,070 Twitter users whose recent tweets contained "COVID", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:39 UTC.

The tweets in the network were tweeted over the 1071-day, 2-hour, 50-minute period from Tuesday, 07 April 2020 at 21:10 UTC to Wednesday, 15 March 2023 at 00:00 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 : 7070
Unique Edges : 4107
Edges With Duplicates : 10847
Total Edges : 14954
Number of Edge Types : 9
Replies to : 1339
MentionsInReplyTo : 2964
Retweet : 3797
MentionsInRetweet : 4846
Tweet : 1296
Mentions : 433
Quote : 143
MentionsInQuoteReply : 46
MentionsInQuote : 90
Self-Loops : 1587
Reciprocated Vertex Pair Ratio : 0.0257371960682876
Reciprocated Edge Ratio : 0.050182826881856
Connected Components : 1366
Single-Vertex Connected Components : 293
Maximum Vertices in a Connected Component : 2633
Maximum Edges in a Connected Component : 6690
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.062305
Graph Density : 0.00015869036330709
Modularity : 0.542972
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 7,070 Twitter users whose recent tweets contained "COVID", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 07:39 UTC.

The tweets in the network were tweeted over the 1071-day, 2-hour, 50-minute period from Tuesday, 07 April 2020 at 21:10 UTC to Wednesday, 15 March 2023 at 00:00 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 : COVID
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:
[50] https://www1.folha.uol.com.br/equilibrioesaude/2023/03/ministerio-da-saude-deixou-vencer-39-milhoes-de-vacinas-contra-covid-avaliadas-em-r-2-bi.shtml?utm_source=twitter&utm_medium=social&utm_campaign=twfolha
[20] https://twitter.com/JackieS77856084/status/1635547868785254401/photo/1
[18] https://www.vtv.gob.ve/vacunas-covid-19-arribaron/
[14] https://www.vtv.gob.ve/millones-europeos-afectados-covid-persistente/
[13] https://conservativebrief.com/unanimous-71524/?utm_source=CB&utm_medium=757
[12] https://www.cartacapital.com.br/cartaexpressa/ministerio-da-saude-deixou-vencer-39-milhoes-de-vacinas-contra-a-covid/
[9] https://www.diariodocentrodomundo.com.br/cerca-de-39-milhoes-de-vacinas-contra-a-covid-foram-perdidas-saude-culpa-governo-bolsonaro/
[9] https://twitter.com/Carlos064145881/status/1635791321087504385/photo/1
[9] https://news.yahoo.com/conservative-activist-dies-covid-complications-160815615.html
[9] https://www1.folha.uol.com.br/equilibrioesaude/2023/03/ministerio-da-saude-deixou-vencer-39-milhoes-de-vacinas-contra-covid-avaliadas-em-r-2-bi.shtml

Top URLs in Tweet in G1:
[8] https://rumble.com/v2d5roy-desantis-reveals-stunning-call-from-wh-that-made-him-realize-truth-on-covid.html?mref=22lbp&mc=56yab
[4] https://twitter.com/MikeValente22/status/1635792031082590211/photo/1
[4] https://twitter.com/Michael34834472/status/1635391535524225024/photo/1
[3] https://mygotostack.com/
[2] https://rumble.com/v2bzyxy--rfk-bombshell-covid-was-a-pentagon-operation-steve-kirsch-reacts-tonight.html
[2] https://twitter.com/MikeValente22/status/1635792234913181698/photo/1
[2] https://www.youtube.com/watch?v=FdbtMvRem9k&feature=shares

[2] https://twitter.com/KanekoaTheGreat/status/1635675623107751938
[1] https://twitter.com/KanekoaTheGreat/status/1635090849972486144/video/1
[1] https://twitter.com/i/web/status/1635453313377533952

Top URLs in Tweet in G2:
[4] https://twitter.com/bereaguilarv/status/1634544122206867460/photo/1
[4] https://twitter.com/joseshjoses/status/1635654164746321924/photo/1
[2] https://twitter.com/CarlosLoret/status/1634419360524640257/video/1
[2] https://www.sinembargo.mx/14-03-2023/4336577
[2] https://twitter.com/LuisCardenasMx/status/1635396999636819968/video/1
[2] https://latinus.us/2023/03/10/privilegios-hijo-presidente-jose-ramon-lopez-beltran-pandemia-medicamentos-covid-19-poblacion/
[1] https://twitter.com/Arouet_V/status/1635731251305873431/photo/1
[1] https://twitter.com/EmilioAlvarezI/status/1635628262817779713
[1] https://latinus.us/2023/03/13/militares-realizaron-labores-limpieza-atencion-medica-nuera-presidente-amlo-confinamiento-covid/
[1] https://latinus.us/2023/03/13/gobierno-amlo-muertes-covid-autorizacion-remdesivir-doctor-francisco-moreno/

Top URLs in Tweet in G3:
[5] https://www.todayonline.com/big-read/big-read-navigate-post-covid-world-singapore-firms-need-new-playbook-spread-their-wings-abroad-2126686
[4] https://twitter.com/SempreFreedom/status/1635790139967275009/photo/1
[4] https://twitter.com/MiFamiliaVota/status/1635789264255438850/photo/1
[4] https://twitter.com/raunchyhaunches/status/1635789054024491009/photo/1
[4] https://twitter.com/raunchyhaunches/status/1635789058814226443/photo/1
[3] https://www1.folha.uol.com.br/equilibrioesaude/2023/03/ministerio-da-saude-deixou-vencer-39-milhoes-de-vacinas-contra-covid-avaliadas-em-r-2-bi.shtml?utm_source=twitter&utm_medium=social&utm_campaign=comptw
[3] https://www1.folha.uol.com.br/equilibrioesaude/2023/03/ministerio-da-saude-deixou-vencer-39-milhoes-de-vacinas-contra-covid-avaliadas-em-r-2-bi.shtml
[3] https://twitter.com/mtchknght8/status/1635790396914561024/photo/1
[3] https://www.fiverr.com/share/2d8Aw4
[3] https://twitter.com/QueTalmagazine/status/1635792931377524737/photo/1

Top URLs in Tweet in G4:
[18] https://twitter.com/JackieS77856084/status/1635547868785254401/photo/1
[5] https://amzn.to/3A1g6RM
[5] https://twitter.com/justin_hart/status/1635746714769559565/photo/1
[2] https://twitter.com/jackies77856084/status/1635547868785254401
[2] https://twitter.com/ninnyd101/status/1635574869264826369/video/1
[1] https://twitter.com/DrEliDavid/status/1633217687085096960/photo/1
[1] https://twitter.com/glennbeck/status/1635435130155089920/video/1
[1] https://twitter.com/DrEliDavid/status/1635761081942433793/photo/1
[1] https://twitter.com/whosthatgirlgio/status/1635699469311254529/video/1
[1] https://twitter.com/whosthatgirlgio/status/1634588620454592513/video/1

Top URLs in Tweet in G5:
[3] https://twitter.com/philippeherlin/status/1635693405832458271/photo/1
[3] https://www.researchgate.net/publication/369169672_Post-acute_sequelae_after_SARS-CoV-2_infection_by_viral_variant_and_vaccination_status_a_multicenter_cross-sectional_study
[2] https://www.tf1info.fr/sante/non-les-vaccins-covid-n-ont-pas-entraine-une-multiplication-des-turbo-cancers-2250613.html
[2] https://www.nouvelobs.com/coronavirus-de-wuhan/20200409.OBS27280/10-choses-a-savoir-sur-neil-ferguson-l-epidemiologiste-que-tout-le-monde-ecoute-face-au-covid-19.html
[1] https://linkinghub.elsevier.com/retrieve/pii/S2590113322000256
[1] https://stevekirsch.substack.com/p/new-israeli-moh-study-shows-covid
[1] https://twitter.com/i/web/status/1635711217871224836
[1] https://twitter.com/silvano_trotta/status/1635711217871224836/photo/1
[1] https://twitter.com/f_philippot/status/1635553527937236992/photo/1
[1] https://twitter.com/dupontaignan/status/1635672887079374851/photo/1

Top URLs in Tweet in G6:
[1] https://www.cnbc.com/2021/05/26/biden-orders-us-intelligence-to-intensify-investigation-into-covid-19-origins.html
[1] https://www.youtube.com/watch?v=emPQMmh18Hk

[1] https://twitter.com/RealMacReport/status/1633516477902094337

Top URLs in Tweet in G7:
[4] https://news.griffith.edu.au/2023/03/14/worlds-strongest-mri-investigates-covid-and-myalgic-encephalomyelitis-chronic-fatigue-impacts-on-the-brain/
[4] https://twitter.com/evelio_prieto/status/1635656724232253443/photo/1
[3] https://twitter.com/Nat_Elodie/status/1635206228107476993/photo/1
[2] https://www.standard.co.uk/showbiz/gemma-collins-mistook-long-covid-for-heart-attack-b1067264.html?utm_medium=Social&utm_source=Twitter#Echobox=1678831226-2
[2] https://twitter.com/LongCovidDuchy/status/1633584858332028929/photo/1
[1] https://bylinetimes.com/2023/03/14/the-herd-immunity-catastrophe-how-british-public-broadcasters-failed-the-impartiality-test-on-covid-19/
[1] https://twitter.com/skyejromance/status/1635784638911094785
[1] https://twitter.com/EnemyInAState/status/1635459112996667393/photo/1
[1] https://twitter.com/EnemyInAState/status/1509562473741008906/photo/1
[1] https://www.cambridge.org/core/journals/epidemiology-and-infection/article/face-masks-to-prevent-transmission-of-influenza-virus-a-systematic-review/64D368496EBDE0AFCC6639CCC9D8BC05

Top URLs in Tweet in G8:
[2] https://www.conservativewoman.co.uk/mhra-stops-publishing-covid-vaccines-yellow-card-reports-how-very-convenient/
[2] https://twitter.com/townhallcom/status/1635663123213426688
[2] https://covid.cdc.gov/covid-data-tracker/#trends_weeklydeaths_select_00
[1] https://twitter.com/RonnyJacksonTX/status/1634930537134542851/video/1
[1] https://www.thedemocracyfund.ca/tdf_advocacy_keeps_unvaccinated_single_mom_in_school
[1] https://twitter.com/i/web/status/1635703849171185667
[1] https://twitter.com/TDF_Can/status/1635703849171185667/photo/1
[1] https://twitter.com/townhallcom/status/1635663123213426688/video/1
[1] https://twitter.com/drsimonegold/status/1635449689494495233/video/1
[1] https://twitter.com/EastEndJoe/status/1635772829919526917/photo/1

Top URLs in Tweet in G9:
[6] https://twitter.com/UKAT_George/status/1635646508308594691/photo/1
[3] https://news.griffith.edu.au/2023/03/14/worlds-strongest-mri-investigates-covid-and-myalgic-encephalomyelitis-chronic-fatigue-impacts-on-the-brain/
[3] https://www.frontiersin.org/articles/10.3389/fnins.2023.1125208/full
[3] https://twitter.com/Imani_Barbarin/status/1634567597046878208/video/1
[3] https://twitter.com/Imani_Barbarin/status/1635050521596923905/video/1
[2] https://twitter.com/1goodtern/status/1635790144996294659/photo/1
[2] https://twitter.com/1goodtern/status/1635537276707979264/photo/1
[2] https://twitter.com/HallwayOrchard/status/1592921357360451586
[2] https://www.newstalk.com/news/ive-lost-my-little-boy-dad-has-to-spoon-feed-eight-year-old-with-long-covid-1446675?utm_medium=Social&utm_source=Twitter#Echobox=1678818038-1
[1] https://twitter.com/NjbBari3/status/1635551080007479301

Top URLs in Tweet in G10:
[4] https://twitter.com/WildColonialGal/status/1635782475040583681/photo/1
[2] https://twitter.com/WildColonialGal/status/1635789089701265408/photo/1
[1] https://compliance.health.gov.au/artg/
[1] https://www.youtube.com/watch?v=M0jcbmfH9H0

[1] https://twitter.com/Jikkyleaks/status/1635749708982525952/photo/1
[1] https://archive.md/WkyQS
[1] https://tribuneonlineng.com/covid-19-vaccination-lagos-still-far-from-8-million-target-official/
[1] https://twitter.com/dcexaminer/status/1635743189771403267
[1] https://brownstone.org/articles/covid-to-cbdc-to-full-control/
[1] https://twitter.com/kevinnbass/status/1635502623800561665/video/1

Top Domains
Top Domains in Tweet in Entire Graph:
[1280] twitter.com
[102] com.br
[33] gob.ve
[30] co.uk
[26] youtube.com
[24] substack.com
[16] rumble.com
[14] conservativebrief.com
[12] com.au
[10] com.mx

Top Domains in Tweet in G1:
[37] twitter.com
[10] rumble.com
[3] mygotostack.com
[3] thegatewaypundit.com
[2] childrenshealthdefense.org
[2] theepochtimes.com
[2] youtube.com
[1] usrtk.org
[1] reddit.com
[1] trialsitenews.com

Top Domains in Tweet in G2:
[38] twitter.com
[4] latinus.us
[3] com.mx
[2] sinembargo.mx
[1] youtube.com
[1] reforma.com
[1] washingtonpost.com

Top Domains in Tweet in G3:
[97] twitter.com
[12] com.br
[5] substack.com
[5] todayonline.com
[3] youtube.com
[3] com.mx
[3] co.uk
[3] fiverr.com
[3] childrenshealthdefense.org
[2] number1onlineblog.com

Top Domains in Tweet in G4:
[37] twitter.com
[5] amzn.to
[2] youtube.com
[1] canada.ca
[1] newsweek.com
[1] substack.com
[1] cbsnews.com

Top Domains in Tweet in G5:
[26] twitter.com
[3] researchgate.net
[2] tf1info.fr
[2] nouvelobs.com
[1] elsevier.com
[1] substack.com
[1] childrenshealthdefense.org
[1] europe1.fr
[1] youtube.com
[1] businessbourse.com

Top Domains in Tweet in G6:
[1] cnbc.com
[1] youtube.com
[1] twitter.com

Top Domains in Tweet in G7:
[33] twitter.com
[4] edu.au
[3] co.uk
[2] actionnetwork.org
[1] bylinetimes.com
[1] cambridge.org
[1] yale.edu
[1] blckbx.tv
[1] newstalk.com
[1] fortune.com

Top Domains in Tweet in G8:
[13] twitter.com
[2] co.uk
[2] cdc.gov
[1] thedemocracyfund.ca
[1] youtube.com
[1] dreddymd.com
[1] greatgameindia.com
[1] thegatewaypundit.com
[1] childrenshealthdefense.org
[1] cbsnews.com

Top Domains in Tweet in G9:
[46] twitter.com
[3] edu.au
[3] frontiersin.org
[2] newstalk.com
[1] biorxiv.org
[1] co.uk
[1] com.au
[1] wafb.com
[1] sportsnet.ca
[1] sciencealert.com

Top Domains in Tweet in G10:
[16] twitter.com
[1] gov.au
[1] youtube.com
[1] archive.md
[1] tribuneonlineng.com
[1] brownstone.org
[1] com.au
[1] washingtonexaminer.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[110] covid
[90] covid19
[78] chávezantiimperialista
[52] longcovid
[27] fuoridalcoro
[18] covid_19
[18] longcovidawarenessday
[17] mecfs
[15] 44999
[15] coronavirus



Top Hashtags in Tweet in G1:
[1] foxnews

Top Hashtags in Tweet in G2:
[14] covid
[12] covid19
[6] joseramonlopezbeltran
[3] latinus
[3] cdmx
[2] coronavirus
[2] informaciónparati
[2] losprivilegiosdejrlb
[2] loret
[2] joseramonlopezbeltran400

Top Hashtags in Tweet in G3:
[16] covid
[13] covid19
[10] coronavirus
[6] website
[5] bitcoin
[4] webdesign
[4] wordpress
[3] covid_19
[3] wordpresswebsite
[3] wordpressdesign

Top Hashtags in Tweet in G4:
[2] neverforget
[2] covid
[2] vaccines
[2] slippedup
[1] karllauterbachrücktritt
[1] covidmythen
[1] mailab
[1] pleiteticker
[1] achtungreichelt
[1] dontletthemoffthehook

Top Hashtags in Tweet in G5:
[6] covid
[4] pfizer
[3] twitterfiles
[2] effetssecondaires
[2] lockdownfiles
[1] reintegrezlessuspendus
[1] longcovid
[1] michelcymes
[1] rtlsoir
[1] vonderleyen

Top Hashtags in Tweet in G6:
[1] fauci
[1] covid_19
[1] gainoffunction
[1] wuhanlableak
[1] pureblood

Top Hashtags in Tweet in G7:
[18] longcovid
[6] covid19
[4] longcovidawarenessday
[3] bringbackmasks
[2] mecfs
[2] covid
[2] covidisntover
[2] hersenstam
[2] mecvs
[2] neuroinflamatie

Top Hashtags in Tweet in G8:
[1] pfizerlied

Top Hashtags in Tweet in G9:
[14] covid19
[12] mecfs
[8] longcovid
[5] covid
[3] sarscov2
[2] covid_19
[2] longcovidawarenessday
[1] coronavirus
[1] cleanair
[1] impfenschuetzt

Top Hashtags in Tweet in G10:
[4] covid
[4] ethicsmatter
[2] watch
[1] ivm
[1] haiti
[1] breaking
[1] diedsuddenly

Top Words
Top Words in Tweet in Entire Graph:
[4876] covid
[874] 19
[481] vax
[424] vaccine
[421] people
[352] long
[299] research
[296] pfizer
[276] yrs
[270] mask

Top Words in Tweet in G1:
[208] covid
[142] vigilantfox
[96] kanekoathegreat
[93] talk
[89] robertkennedyjr
[89] jab
[85] jimmy_dore
[82] made
[80] bill
[78] spreading

Top Words in Tweet in G2:
[171] covid
[111] presidente
[94] remdesivir
[82] hijo
[78] nuera
[78] arouet_v
[72] hijos
[65] casa
[63] mientras
[62] alvaro_delgado

Top Words in Tweet in G3:
[294] covid
[93] 19
[24] pandemic
[17] more
[16] need
[16] years
[16] one
[16] #covid
[15] scam
[14] vaccine

Top Words in Tweet in G4:
[224] covid
[151] drelidavid
[130] first
[127] against
[127] following
[126] mask
[126] wearing
[125] milano
[125] stupid
[125] wins

Top Words in Tweet in G5:
[156] covid
[108] ce
[79] crise
[68] ans
[68] raoult_didier
[64] révèlent
[64] chez
[62] était
[61] qu
[60] après

Top Words in Tweet in G6:
[11] covid
[6] being
[6] acrytearsmag
[5] words
[4] cnn
[4] rosegar17673310
[4] proundpapaof3
[4] bn7snortt
[4] vincegottalotta
[4] washingtonpost

Top Words in Tweet in G7:
[136] covid
[69] long
[29] brain
[19] #longcovid
[18] ve
[17] make
[16] patients
[14] 19
[14] more
[13] know

Top Words in Tweet in G8:
[145] covid
[94] ronnyjacksontx
[78] lab
[77] never
[77] forget
[76] knew
[74] came
[72] funded
[72] fauci
[50] pfizer

Top Words in Tweet in G9:
[188] covid
[39] people
[32] long
[25] 19
[22] one
[20] nateb_panic
[19] year
[18] 1goodtern
[17] wrong
[17] still

Top Words in Tweet in G10:
[86] covid
[39] 19
[38] april
[38] following
[37] kevinnbass
[36] explaining
[36] epidemiologist
[36] 2020
[36] tegnell
[36] anders

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[845] covid,19
[266] research,vax
[266] yrs,research
[258] long,covid
[233] contra,covid
[171] covid,vaccine
[154] against,covid
[139] common,cold
[139] alyssa,milano
[139] prize,stupid

Top Word Pairs in Tweet in G1:
[84] robertkennedyjr,jimmy_dore
[83] kanekoathegreat,robertkennedyjr
[78] bill,gates
[77] gates,made
[77] talk,bill
[77] lies,effectiveness
[77] jimmy_dore,talk
[77] spreading,lies
[77] profit,spreading
[77] made,profit

Top Word Pairs in Tweet in G2:
[65] nuera,presidente
[60] alvaro_delgado,10
[60] hijos,epn
[60] aviones,marina
[60] viajaron,aviones
[60] epn,viajaron
[60] 10,indignaste
[60] alvaro,delgado
[60] delgado,alvaro_delgado
[60] marina,rumbo

Top Word Pairs in Tweet in G3:
[90] covid,19
[10] 19,pandemic
[9] long,covid
[7] during,covid
[6] 19,vaccine
[5] covid,jabs
[5] pandemia,covid
[4] need,wordpress
[4] #wordpress,#website
[4] covid,vaccine

Top Word Pairs in Tweet in G4:
[126] against,covid
[125] mask,protect
[125] wins,first
[125] crochet,mask
[125] alyssa,milano
[125] prize,stupid
[125] milano,wins
[125] protect,against
[125] wearing,crochet
[125] first,prize

Top Word Pairs in Tweet in G5:
[79] crise,covid
[59] qu,après
[59] révèlent,crise
[59] files,révèlent
[59] savait,ce
[59] 80,ans
[59] était,grave
[59] lockdowm,files
[59] ce,était
[59] covid,savait

Top Word Pairs in Tweet in G6:
[4] steveestrada11,bn7snortt
[4] acrytearsmag,bivonacarol
[4] miimaewest,acrytearsmag
[4] joeybones07,steveestrada11
[4] bivonacarol,slinkescouse
[4] slinkescouse,joeybones07
[3] waynegregory42,miimaewest
[2] review,update
[2] katgirlsc,hamradiojoe
[2] kevinoler,caperloo5

Top Word Pairs in Tweet in G7:
[50] long,covid
[14] covid,19
[10] covid,awareness
[10] sars,cov
[10] year,old
[10] covid,patients
[10] awareness,day
[9] connell,describes
[9] result,brain
[9] ve,lost

Top Word Pairs in Tweet in G8:
[77] never,forget
[74] came,lab
[74] covid,came
[74] knew,covid
[72] lab,funded
[72] fauci,knew
[72] funded,never
[71] ronnyjacksontx,fauci
[30] research,vax
[30] yrs,research

Top Word Pairs in Tweet in G9:
[25] covid,19
[23] long,covid
[13] emerging,long
[13] mentioning,covid
[13] covid,cohort
[13] main,tips
[13] cohort,avoid
[13] one,main
[13] doctor,presenting
[13] tips,emerging

Top Word Pairs in Tweet in G10:
[39] covid,19
[36] anders,tegnell
[36] sweden's,chief
[36] chief,epidemiologist
[36] tegnell,april
[36] different,covid
[36] april,2020
[36] explaining,sweden
[36] epidemiologist,anders
[36] following,different

Top Replied-To
Top Replied-To in Entire Graph:
@covid_parent
@1nobodyhome
@unhealthytruth
@pierrepoilievre
@ronnyjacksontx
@emywinst
@1goodtern
@jackies77856084
@elonmusk
@luiscardenasmx

Top Replied-To in G1:
@kanekoathegreat
@govrondesantis
@jason_willz1
@rickmccargar
@coloradolady017
@benshapiro
@areohesseyeee
@wijgalt13
@angelroark13
@vincewinstanley

Top Replied-To in G2:
@luiscardenasmx
@lopezobrador_
@mariettoponce
@gobiernomx
@jenarovillamil
@normacuevasv

Top Replied-To in G4:
@jackies77856084
@drelidavid
@kellzbellzzah
@drvictoriafox
@muhwalster
@bkmaginnis
@dannythezebra
@therobprimo1
@miketmcmullen
@derek_louw

Top Replied-To in G5:
@philippeherlin
@myriampalomba
@raoult_didier
@silvano_trotta
@frantzarnaldy
@takjalankaki
@lethiecv
@msba1i
@laurent11718056

Top Replied-To in G6:
@replaturner
@waynegregory42
@sliver5631
@shay_torgerson
@topps1960
@antwindmill
@gotts2swim
@chrisfromga68
@david_darmofal
@blueresin1

Top Replied-To in G7:
@mikeoxl45230782
@hoipiepeloi14
@michael59503746
@chronicallybeee
@rnussbaum11
@sexyspoonie
@pearl_eevee
@fulltimesickgal
@terlouwarie
@psionicpsittacc

Top Replied-To in G8:
@1nobodyhome
@ronnyjacksontx
@townhallcom
@wjpeabody

Top Replied-To in G9:
@1goodtern
@ampincivero
@livrnyyc
@sidherian
@covid19_ct
@nateb_panic
@bigbaddenis
@popnb_kindness
@byebyekenso
@feintglow

Top Replied-To in G10:
@jikkyleaks
@stevedeaceshow
@drcole12
@the_q_storm
@mdbreathe
@newscomauhq
@emmasayle
@rwmalonemd
@wordsinusername
@goddesscoaching

Top Mentioned
Top Mentioned in Entire Graph:
@drelidavid
@vigilantfox
@iluminatibot
@dc_draino
@unhealthytruth
@kanekoathegreat
@ronnyjacksontx
@robertkennedyjr
@jimmy_dore
@arouet_v

Top Mentioned in G1:
@vigilantfox
@kanekoathegreat
@robertkennedyjr
@jimmy_dore
@renztom
@govrondesantis
@bonginoreport
@jmetr22b
@drsyedhaider
@rmconservative

Top Mentioned in G2:
@arouet_v
@alvaro_delgado
@epn
@mariettoponce
@lopezobrador_
@zoerobledo
@tu_imss
@latinus_us
@esemejia
@hectorrossete

Top Mentioned in G3:
@iterjapan
@rhondizzle3
@sillymickel
@michael_riordan
@imranrabbibd
@nmimr_ug
@troutmancol
@evirae
@csentropy

Top Mentioned in G4:
@drelidavid
@jackies77856084
@whosthatgirlgio
@drjbhattacharya
@rsheftall
@geraldorivera
@justin_hart
@drvictoriafox
@dockaurg
@washburnealex

Top Mentioned in G5:
@raoult_didier
@caudehenrion
@poulin2012
@f_philippot
@dupontaignan
@philippeherlin
@decoder_l
@yvespdb
@tpmp

Top Mentioned in G6:
@acrytearsmag
@housegop
@miimaewest
@bivonacarol
@slinkescouse
@joeybones07
@steveestrada11
@bn7snortt
@deciccopad
@digimalice

Top Mentioned in G7:
@dakota_150
@drclairetaylor
@ministervws
@blckbxnews
@longcovidsos
@kit_yates_maths
@enemyinastate
@long_covid
@longcovidkids
@bladdyblahblahb

Top Mentioned in G8:
@ronnyjacksontx
@drsimonegold
@davidkotiw
@randpaul
@daveseddon7
@repronnyjackson
@adriana1550
@songfourone
@yolanda60642416
@benny283409942

Top Mentioned in G9:
@nateb_panic
@1goodtern
@rwittenbrink
@hallwayorchard
@lauramiers
@meetjess
@imani_barbarin
@andreagilligan
@antlila333
@lulusherwood

Top Mentioned in G10:
@kevinnbass
@rwmalonemd
@politlcsuk
@jikkyleaks
@noodles_nood
@wildcolonialgal
@ztkelly
@the_q_storm
@mdbreathe
@stevedeaceshow

Top Tweeters
Top Tweeters in Entire Graph:
@la_patilla
@tomthunkitsmind
@el_cooperante
@kompascom
@andyvermaut
@mistersalesman
@la_iguanatv
@monicasloves
@telesurtv
@lindaleeking

Top Tweeters in G1:
@ailsaforshaw
@henjoeschmoe
@pvalsfr
@cece_23spalding
@stabbytosavit
@dorothymontgom4
@patriciawilhoit
@bigbobdc68
@baszram
@sciolism007

Top Tweeters in G2:
@reforma
@ricardoalemanmx
@ferbelaunzaran
@thunaer68
@sheilammsg
@lamemur
@rosardi5272
@elbamachain
@cpaularena
@nachorgz

Top Tweeters in G3:
@el_cooperante
@kompascom
@andyvermaut
@mistersalesman
@toicitiesnews
@ebooklingo
@dudacionista100
@cout_ma
@inewsgr
@prison_health

Top Tweeters in G4:
@emgfind
@tutitabuena8
@idgaf_alaniz
@scovitz
@drmom25ma
@jeanderobien
@ninnyd101
@anthowcwm
@biorealism
@c5wired97

Top Tweeters in G5:
@radiolondres6
@yvespdb
@rtlfrance
@dede17_86
@mariebrin68
@maquizard94
@sudradio
@yann6904
@claudemirmirand
@aragon_jb

Top Tweeters in G6:
@dianacialino
@tsiser45
@washingtonpost
@cnn
@msnbc
@cnni
@vincegottalotta
@erinsnider10
@birdseye1
@sandraclunie

Top Tweeters in G7:
@a3noticias
@nos
@rtlnieuws
@dire_donald
@dbkell
@eveningstandard
@robertfranek
@judyb1313
@larochecs
@townsendoutdoor

Top Tweeters in G8:
@debbiesva
@edmeyer_able
@bboywitt
@marysmi36126717
@distiller60
@julesserkin
@jimiare
@smithka430
@jjhicret
@tomdolanjr

Top Tweeters in G9:
@allentien
@independent_ie
@j_p_28
@anniesage
@caesura30
@lurigdramacdall
@newstalkfm
@blakandblack
@imelda_mairead
@k_sarah_sera

Top Tweeters in G10:
@riki26287444
@dcexaminer
@newscomauhq
@jackspa84167797
@carolegilman
@akkaufman
@lindaweatherhe1
@itguy1959
@tired1967
@russsegner


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