COVID, Twitter, 3/18/2023 7:32:31 AM, 291480


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COVID_2023-03-18_00-19-14.xlsx
COVID_2023-03-18_00-19-14.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 18, 2023
Short Description:
COVID via NodeXL https://bit.ly/3JOrJkt
@abridgen
@nytimes
@mtaibbi
@qwertyeusk
@drclairetaylor
@elonmusk
@draseemmalhotra
@dr_ianjackson
@stuyvesantanna
@norbert80189155

Top hashtags:
#covid
#covid19
#bastadeimposiciónimperial
#longcovid
#covid_19
#twitterfiles

Description:
Description
The graph represents a network of 6,963 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 07:24 UTC.

The tweets in the network were tweeted over the 1142-day, 7-hour, 23-minute period from Thursday, 30 January 2020 at 16:37 UTC to Saturday, 18 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 : 6963
Unique Edges : 4284
Edges With Duplicates : 11353
Total Edges : 15637
Number of Edge Types : 9
Retweet : 3676
MentionsInRetweet : 4529
Tweet : 1359
Quote : 156
Replies to : 1414
MentionsInReplyTo : 3930
Mentions : 403
MentionsInQuoteReply : 63
MentionsInQuote : 107
Self-Loops : 1627
Reciprocated Vertex Pair Ratio : 0.0272578821756061
Reciprocated Edge Ratio : 0.0530692100758132
Connected Components : 1325
Single-Vertex Connected Components : 355
Maximum Vertices in a Connected Component : 3076
Maximum Edges in a Connected Component : 8788
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.097517
Graph Density : 0.00016870062520724
Modularity : 0.53518
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,963 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 07:24 UTC.

The tweets in the network were tweeted over the 1142-day, 7-hour, 23-minute period from Thursday, 30 January 2020 at 16:37 UTC to Saturday, 18 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:
[30] https://www.vacsafety.org/events
[27] https://www.nytimes.com/2023/03/17/health/covid-origins-who.html
[20] https://www.nytimes.com/2023/03/17/health/covid-origins-who.html?smid=nytcore-ios-share&referringSource=articleShare
[15] https://www.nbcnews.com/health/health-news/covid-origins-data-links-pandemic-raccoon-dogs-wuhan-market-rcna75437
[14] https://t.me/+_iyjDJQnLdVjNzVk
[13] https://trib.al/WHH9hE4
[12] https://www.thegatewaypundit.com/2023/03/im-not-sure-anyone-should-be-taking-them-florida-surgeon-general-declares-mrna-covid-19-vaccines-have-a-terrible-safety-profile-video/
[11] https://thecountersignal.com/china-and-who-panic-suggest-raccoon-dog-now-responsible-for-covid/
[11] https://twitter.com/DougsJourney2/status/1636759584558678017/photo/1
[11] https://twitter.com/mtaibbi/status/1636729166631432195

Top URLs in Tweet in G1:
[11] https://rumble.com/vu31fi-austrian-research-group-presents-its-findings-of-undeclared-components-in-t.html
[8] https://twitter.com/DrJBhattacharya/status/1636835686790877185/photo/1
[5] https://parliamentlive.tv/
[5] https://parliamentlive.tv/event/index/14fc636d-178b-4c0d-9390-605cee77a845?in=14:35:28
[4] https://twitter.com/Project_Veritas/status/1636488229909143552/photo/1
[4] https://twitter.com/DanVitorPH/status/1636491150319075329/photo/1
[4] https://twitter.com/aston_bebere/status/1636720531968802816/photo/1
[3] https://www.bodyandsoul.com.au/health/21yearold-model-claire-bridges-who-had-her-legs-amputated-due-to-covid-is-finally-released-from-hospital/news-story/2e5429ad5220fa483b9cae722cd42f7e
[3] https://twitter.com/JohnBoweActor/status/1636798896520167439/video/1
[3] https://www.vacsafety.org/events

Top URLs in Tweet in G2:
[19] https://www.nytimes.com/2023/03/17/health/covid-origins-who.html
[5] https://www.theguardian.com/society/2023/mar/17/covid-19-origins-raccoon-dogs-wuhan-market-data
[4] https://childrenshealthdefense.org/defender/myocarditis-pfizer-covid-vaccine/
[4] https://www.nytimes.com/2023/03/17/opinion/covid-19-pandemic-masks-china.html
[4] https://www.nytimes.com/2023/03/17/health/covid-origins-who.html?smid=nytcore-ios-share&referringSource=articleShare
[4] https://twitter.com/sakugaone/status/1636880051768532992/photo/1
[4] https://twitter.com/LizWhatsherface/status/1636877776308273152/photo/1
[4] https://twitter.com/Peisatel1/status/1636876399649726464/photo/1
[4] https://twitter.com/Peisatel1/status/1636876339688140802/photo/1
[4] https://twitter.com/Peisatel1/status/1636876212575371265/photo/1

Top URLs in Tweet in G3:
[2] https://twitter.com/MAGAGEM1/status/1636469241821147137/photo/1
[2] https://twitter.com/BillboardChris/status/1636471305150005251/photo/1
[2] https://www.nimh.nih.gov/health/publications/the-teen-brain-7-things-to-know
[2] https://twitter.com/kristileilani/status/1636467340736086017/photo/1
[1] https://twitter.com/covid_clarity/status/1636182376660254724/video/1
[1] https://twitter.com/covid_clarity/status/1636776659897692161/photo/1
[1] https://twitter.com/covid_clarity/status/1633884603273605121/video/1
[1] https://twitter.com/LtGovFlanagan/status/1636520675635605504?s=20
[1] https://twitter.com/covid_clarity/status/1636182376660254724?s=20
[1] https://twitter.com/LexingtonLegacy/status/1636874258486902785/photo/1

Top URLs in Tweet in G4:
[11] https://twitter.com/DougsJourney2/status/1636759584558678017/photo/1
[9] https://twitter.com/mtaibbi/status/1636729166631432195
[6] https://www.thegatewaypundit.com/2023/03/im-not-sure-anyone-should-be-taking-them-florida-surgeon-general-declares-mrna-covid-19-vaccines-have-a-terrible-safety-profile-video/
[5] https://reseauinternational.net/vaccin-covid-des-milliards-de-doses-a-la-poubelle-plus-personne-nen-veut/
[4] https://twitter.com/mtaibbi/status/1636729171995926528/photo/1
[2] https://twitter.com/mtaibbi/status/1636729197707100162/photo/1
[2] https://www.newsmax.com/newsfront/covid-twitter-us-government/2023/03/17/id/1112567/
[1] https://drive.google.com/file/d/1u2412d1uWlBr4w5wEEWv6H8Cl8PKyIW0/view
[1] https://twitter.com/mtaibbi/status/1636729213616046081/photo/1
[1] https://twitter.com/mtaibbi/status/1636729235837526016/photo/1

Top URLs in Tweet in G5:
[4] https://twitter.com/LauraMiers/status/1636828033997762561/photo/1
[2] https://blabbermouth.net/news/saxons-biff-byford-diagnosed-with-covid-19-remaining-european-tour-dates-canceled
[2] https://twitter.com/nateb_panic/status/1636811443612860417
[2] https://twitter.com/CounsellingSam/status/1636677931891146754/photo/1
[2] https://www.tagesanzeiger.ch/neue-daten-zeigen-covid-hospitalisierte-massiv-unterschaetzt-291801432342
[2] https://bristoliver.substack.com/p/long-run-long-covid-post
[1] https://www.youtube.com/watch?v=mo-TtIcGr6g&feature=youtu.be

[1] https://twitter.com/NateB_Panic/status/1636811443612860417/photo/1
[1] https://qudach.co.uk/tory-mp-steve-brine-faces-lobbying-questions-after-hancock-message-leak-1481480.html
[1] https://twitter.com/Britain_People/status/1636656367313338368/photo/1

Top URLs in Tweet in G6:
[4] https://twitter.com/bereaguilarv/status/1634544122206867460/photo/1
[2] https://twitter.com/edusax79/status/1636708120717303808/video/1
[1] https://twitter.com/ferbelaunzaran/status/1636405324931276800/photo/1
[1] https://twitter.com/Arouet_V/status/1636799950146383875/video/1
[1] https://twitter.com/Arouet_V/status/1636590474180829186/video/1
[1] https://twitter.com/lopezdoriga/status/1636159644484657153/video/1
[1] https://twitter.com/i/web/status/1635875742155243520
[1] https://twitter.com/cardonamex/status/1635875742155243520/video/1
[1] https://twitter.com/latinus_us/status/1636562738326519808
[1] https://twitter.com/JJDiazMachuca/status/1636598365939982336/photo/1

Top URLs in Tweet in G7:
[25] https://www.vacsafety.org/events
[2] https://www.covidlitigation.com/
[2] https://twitter.com/TexasLindsay_/status/1636714712405626881
[1] https://twitter.com/FLSurgeonGen/status/1636707603915980803/video/1
[1] https://twitter.com/VacSafety/status/1636866810011176961/photo/1
[1] https://twitter.com/VacSafety/status/1636861971726254080/photo/1
[1] https://twitter.com/jchilders98/status/1636872046667005952/photo/1
[1] https://twitter.com/liz_churchill8/status/1632599166999310336/video/1
[1] https://twitter.com/VigilantFox/status/1634345437560750080/video/1
[1] https://twitter.com/Adriano72197026/status/1636406663581253637/video/1

Top URLs in Tweet in G8:
[15] https://www.nytimes.com/2023/03/17/health/covid-origins-who.html?smid=nytcore-ios-share&referringSource=articleShare
[3] https://twitter.com/BucsFansMatter/status/1636879699359023105/photo/1
[2] https://twitter.com/nytimes/status/1636874566277509120
[1] https://trib.al/vBPYV7p
[1] https://trib.al/iioQ9cU
[1] https://trib.al/IhaW6gX
[1] https://twitter.com/nytimes/status/1636756525044604928/photo/1
[1] https://trib.al/A2i1r57
[1] https://twitter.com/nytimes/status/1636661177878040577/photo/1
[1] https://trib.al/5xk0ZLO

Top URLs in Tweet in G9:
[14] https://www.nbcnews.com/health/health-news/covid-origins-data-links-pandemic-raccoon-dogs-wuhan-market-rcna75437
[6] https://nypost.com/2023/03/17/covid-19-pandemic-may-have-originated-in-raccoon-dogs-in-china-report/?utm_campaign=SocialFlow&utm_source=NYPTwitter&utm_medium=SocialFlow
[6] https://twitter.com/nypost/status/1636809759398477827/photo/1
[4] https://twitter.com/nypost/status/1636809759398477827
[2] https://notthebee.com/article/the-first-covid-outbreak-took-place-a-few-miles-from-a-shoddy-dangerous-coronavirus-lab-but-the-chicoms-want-you-to-think-it-was-caused-by-something-called-a-raccoon-dog
[1] https://twitter.com/RepThomasMassie/status/1620510824820342784/video/1
[1] https://twitter.com/TexasLindsay_/status/1636714712405626881
[1] https://twitter.com/TimRunsHisMouth/status/1636506303563431937/photo/1
[1] https://twitter.com/AMErikaNGIRLLL/status/1636103492296122370/video/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html?s_cid=10509:side%20effects%20of%20the%20covid%20vaccine:sem.ga:p:RG:GM:gen:PTN:FY21

Top URLs in Tweet in G10:
[14] https://t.me/+_iyjDJQnLdVjNzVk
[3] https://stevekirsch.substack.com/p/a-worldwide-call-for-data-transparency
[2] https://dailyclout.io/report-62-acute-kidney-injury-and-acute-renal-failure-following-pfizer-mrna-covid-vaccination-33-of-patients-died-pfizer-concludes-no-new-safety-issue/
[2] https://stevekirsch.substack.com/p/open-letter-to-cpso-head-nancy-whitmore?utm_source=twitter&utm_campaign=auto_share&r=o7iqo
[2] https://twitter.com/DiedSuddenly_/status/1636837325610139651/photo/1
[2] https://twitter.com/DiedSuddenly_/status/1636865149498695680/photo/1
[1] https://twitter.com/Melemlem/status/1636754295512092674/video/1
[1] https://twitter.com/JamesMelville/status/1636866486546341894/photo/1
[1] https://americanfaith.com/fauci-admits-all-vaccines-for-respiratory-viruses-including-covid-are-not-durably-protective-against-infection/
[1] https://stevekirsch.substack.com/p/new-peer-reviewed-study-217000-americans?utm_source=twitter&utm_campaign=auto_share&r=o7iqo

Top Domains
Top Domains in Tweet in Entire Graph:
[1296] twitter.com
[86] nytimes.com
[40] trib.al
[36] substack.com
[34] rumble.com
[33] vacsafety.org
[21] theatlantic.com
[20] youtube.com
[20] co.uk
[20] thegatewaypundit.com

Top Domains in Tweet in G1:
[114] twitter.com
[17] rumble.com
[10] parliamentlive.tv
[7] youtube.com
[5] substack.com
[4] co.uk
[4] gov.uk
[4] foxnews.com
[4] com.au
[4] bfmtv.com

Top Domains in Tweet in G2:
[102] twitter.com
[40] nytimes.com
[6] theguardian.com
[6] rumble.com
[6] theepochtimes.com
[6] sunfellow.com
[5] childrenshealthdefense.org
[5] aol.com
[3] disclose.tv
[3] washingtonpost.com

Top Domains in Tweet in G3:
[26] twitter.com
[3] nih.gov
[2] co.uk
[1] theepochtimes.com
[1] theblaze.com
[1] thegatewaypundit.com
[1] rumble.com
[1] youtube.com
[1] realityslaststand.com

Top Domains in Tweet in G4:
[39] twitter.com
[8] thegatewaypundit.com
[5] reseauinternational.net
[3] newsmax.com
[1] google.com
[1] disclose.tv
[1] youtube.com
[1] charentelibre.fr
[1] rumble.com
[1] expose-news.com

Top Domains in Tweet in G5:
[28] twitter.com
[3] co.uk
[2] blabbermouth.net
[2] 24heures.ch
[2] tagesanzeiger.ch
[2] lemanbleu.ch
[2] substack.com
[1] youtube.com
[1] ucsd.edu
[1] nbcnews.com

Top Domains in Tweet in G6:
[19] twitter.com
[1] animalpolitico.com
[1] latinus.us
[1] centralfmequilibrio.com

Top Domains in Tweet in G7:
[25] vacsafety.org
[10] twitter.com
[2] covidlitigation.com
[1] foxnews.com

Top Domains in Tweet in G8:
[19] nytimes.com
[16] twitter.com
[7] trib.al
[1] judicialwatch.org
[1] com.mx
[1] seattletimes.com
[1] niagaracounty.com
[1] mayoclinic.org
[1] ft.com
[1] sagepub.com

Top Domains in Tweet in G9:
[18] twitter.com
[14] nbcnews.com
[7] nypost.com
[3] notthebee.com
[1] cdc.gov
[1] sharylattkisson.com
[1] fas.org
[1] justthenews.com
[1] theatlantic.com
[1] vacsafety.org

Top Domains in Tweet in G10:
[17] twitter.com
[14] t.me
[7] substack.com
[2] dailyclout.io
[1] americanfaith.com
[1] reuters.com
[1] yournews.com
[1] unherd.com
[1] nypost.com
[1] rumble.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[100] covid
[72] covid19
[72] bastadeimposiciónimperial
[21] longcovid
[18] covid_19
[18] twitterfiles
[15] sileri
[14] coronavirus
[9] diedsuddendly
[9] seanhartman



Top Hashtags in Tweet in G1:
[3] twitterfiles
[2] covid
[2] vaccine
[2] foxnews
[2] pharma
[2] media
[1] diedsuddendly
[1] 3tablets
[1] directedevolution
[1] covid19

Top Hashtags in Tweet in G2:
[22] covid
[16] covid19
[7] coronavirus
[6] china
[4] covid_19
[3] science
[2] marzo2020
[2] news
[2] covid19origins
[2] pandemia

Top Hashtags in Tweet in G3:
[11] covid19
[1] ohio
[1] detransawareness

Top Hashtags in Tweet in G4:
[8] twitterfiles
[1] lockdownfiles
[1] stanford
[1] norway

Top Hashtags in Tweet in G5:
[3] covidisntover
[2] followbackfriday
[1] letitrip
[1] fiff23
[1] longcovid
[1] civilservice
[1] covid19
[1] 4thpandemicyear
[1] stopthespread
[1] covidisairborne

Top Hashtags in Tweet in G6:
[6] covid
[4] cdmx
[3] covid19
[3] coronavirus
[2] loret
[2] latinus
[2] joseramonlopezbeltran
[1] informaciónparati
[1] losprivilegiosdejrlb
[1] chairos

Top Hashtags in Tweet in G8:
[1] losprivilegiosdemorena
[1] puebla
[1] pfizerismurderinc

Top Hashtags in Tweet in G9:
[2] humpday
[2] 3/1/2023 12:00:00 AM
[2] springbreak
[2] zjab
[2] jab
[2] covid
[1] impeachbiden
[1] 2000mules

Top Hashtags in Tweet in G10:
[6] diedsuddenly

Top Words
Top Words in Tweet in Entire Graph:
[4603] covid
[1213] 19
[423] people
[419] vaccine
[348] more
[344] twitter
[304] pandemic
[294] covid_clarity
[280] data
[274] china

Top Words in Tweet in G1:
[316] covid
[83] abridgen
[74] 19
[70] pfizer
[57] booster
[56] storiesofinjury
[53] youtube
[52] vaccine
[52] vaccines
[51] breaking

Top Words in Tweet in G2:
[308] covid
[108] 19
[56] data
[47] china
[39] origins
[31] raccoon
[29] market
[28] pandemic
[27] withholding
[25] dogs

Top Words in Tweet in G3:
[294] covid_clarity
[252] elonmusk
[83] child
[79] re
[68] before
[66] identity
[62] goes
[62] adults
[61] fed
[61] crisis

Top Words in Tweet in G4:
[297] covid
[232] 19
[212] mtaibbi
[199] twitter
[175] project
[175] virality
[175] stanford
[172] files
[163] great
[163] lie

Top Words in Tweet in G5:
[179] covid
[43] long
[42] infections
[42] nateb_panic
[40] risk
[35] lasting
[35] 70
[35] estimate
[34] cdc's
[34] limit

Top Words in Tweet in G6:
[112] covid
[58] amlo
[52] lopezobrador_
[51] arouet_v
[35] miel
[35] limón
[30] garcía
[30] _lizvilchis
[30] atender
[30] mire

Top Words in Tweet in G7:
[101] vaccine
[91] more
[86] florida
[86] lancet
[86] study
[86] shows
[86] breaking
[86] surgeon
[86] anyone
[86] general

Top Words in Tweet in G8:
[130] covid
[119] nytimes
[82] data
[77] china
[77] origins
[75] pandemic
[71] world
[70] link
[68] news
[68] breaking

Top Words in Tweet in G9:
[90] covid
[56] side
[55] effects
[55] timrunshismouth
[52] 25
[52] reading
[52] commercials
[51] seconds
[51] speed
[51] plaque

Top Words in Tweet in G10:
[118] covid
[47] 69
[47] acute
[46] suffered
[46] days
[45] patients
[45] report
[45] 90
[45] kidney
[45] rollout

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1118] covid,19
[262] twitter,files
[201] 19,lie
[200] elonmusk,covid_clarity
[191] virality,project
[185] lie,machine
[184] great,covid
[167] files,#19
[164] #19,great
[163] long,covid

Top Word Pairs in Tweet in G1:
[74] covid,19
[46] covid,booster
[36] increased,risk
[35] reveal,pharmaceutical
[35] giant,evidence
[35] suggesting,increased
[35] documents,reveal
[35] pharmaceutical,giant
[35] pfizer,documents
[35] evidence,suggesting

Top Word Pairs in Tweet in G2:
[105] covid,19
[25] withholding,data
[25] china,withholding
[22] accuses,china
[20] raccoon,dogs
[17] covid,origins
[12] data,covid
[12] pandemic,origins
[11] data,pandemic
[10] raccoon,dog

Top Word Pairs in Tweet in G3:
[200] elonmusk,covid_clarity
[61] covid_clarity,re
[61] fed,propaganda
[61] child,goes
[60] identity,crisis
[60] goes,identity
[59] re,fed
[59] adults,moreover
[59] moreover,child
[59] propaganda,adults

Top Word Pairs in Tweet in G4:
[232] covid,19
[175] virality,project
[172] twitter,files
[163] 19,lie
[163] lie,machine
[161] great,covid
[156] files,#19
[155] #19,great
[149] true,stories
[148] machine,stanford

Top Word Pairs in Tweet in G5:
[34] cdc's,central
[34] immunity,covid
[34] infections,cdc's
[34] limit,infections
[34] covid,upper
[34] lasting,immunity
[34] 70,risk
[34] central,estimate
[34] upper,limit
[34] estimate,70

Top Word Pairs in Tweet in G6:
[35] miel,limón
[30] garcía,vilchis
[30] covid,bastaba
[30] bastaba,tomar
[30] _lizvilchis,cariño
[30] tomar,miel
[30] mire,amlo
[30] atender,covid
[30] amlo,atender
[30] cariño,mire

Top Word Pairs in Tweet in G7:
[86] florida,surgeon
[86] study,shows
[86] anyone,vaccine
[86] shows,anyone
[86] lancet,study
[86] general,lancet
[86] breaking,florida
[86] vaccine,more
[86] surgeon,general
[85] more,contrac

Top Word Pairs in Tweet in G8:
[74] covid,pandemic
[74] pandemic,origins
[68] health,organization
[68] world,health
[68] breaking,news
[67] withholding,data
[67] accused,china
[67] organization,accused
[67] link,covid
[67] news,world

Top Word Pairs in Tweet in G9:
[55] side,effects
[51] 25,seconds
[51] medications,25
[51] severe',plaque
[51] plaque,psoriasis
[51] speed,reading
[51] psoriasis,medications
[51] 'moderate,severe'
[51] commercials,'moderate
[51] seconds,speed

Top Word Pairs in Tweet in G10:
[45] suffered,acute
[45] 69,patients
[45] rollout,69
[45] acute,kidney
[45] 90,days
[39] mrna,rollout
[39] infant,suffered
[39] first,90
[39] one,infant
[39] patients,including

Top Replied-To
Top Replied-To in Entire Graph:
@elonmusk
@covid_clarity
@abridgen
@diedsuddenly_
@athenanknight
@nytimes
@tedcruz
@comradecalifor1
@mtaibbi
@drtedros

Top Replied-To in G1:
@abridgen
@cartlanddavid
@stejonell
@berniespofforth
@drloupis
@dbseymour
@ajlamesa
@sweeneysean_
@bfmtv
@rwmalonemd

Top Replied-To in G3:
@elonmusk
@covid_clarity
@athenanknight
@comradecalifor1
@scott4wa
@petroord88
@bubbl3burst3r
@wrigleybob
@davidnelsonorl
@rolanberrypie

Top Replied-To in G4:
@mtaibbi
@kstateturk
@leadingreport
@elizabe28128973
@patlegagneur
@stanford
@jeremyredfernfl
@gatewaypundit

Top Replied-To in G5:
@nateb_panic
@alain_berset
@rtsinfo
@drclairetaylor
@katepri14608408
@paulrkeeble
@debholloway
@manitobaexpat
@michaelrosenyes
@harkshetweets

Top Replied-To in G6:
@freddyoliviery
@carlos_ulloap
@julietaramirezp
@carlosloret
@aheredia99

Top Replied-To in G7:
@jonathandbacon
@marcuscorbettji
@builditunivers1

Top Replied-To in G8:
@nytimes
@doneford
@deskeller
@realkush18
@vesperaegis
@donvocero
@gudlibral
@toowoke2joke
@xxmayhemxx43
@washingtonpost

Top Replied-To in G9:
@repthomasmassie
@marshablackburn
@timrunshismouth
@nypost
@ch2673459
@richjcal
@bennyjohnson
@melliemaga
@spyrach21
@jenndegruchy

Top Replied-To in G10:
@diedsuddenly_
@stkirsch
@nutshellsguy
@rpusa_maga
@gettrcrypto
@james_manolo
@hvylunch
@05cubic
@h_hexxe
@increepzwetrust

Top Mentioned
Top Mentioned in Entire Graph:
@covid_clarity
@mtaibbi
@elonmusk
@nytimes
@texaslindsay_
@dianaberrent
@abridgen
@storiesofinjury
@rubngom95153827
@pfizer

Top Mentioned in G1:
@abridgen
@pfizer
@storiesofinjury
@youtube
@project_veritas
@jikkyleaks
@drjbhattacharya
@thelancet
@draseemmalhotra
@simonateba

Top Mentioned in G2:
@fazer_aprenda
@eldiarioar
@soniacolpo
@ahausmannx

Top Mentioned in G3:
@covid_clarity
@elonmusk
@rolanberrypie
@athenanknight
@brianmiwatson
@remembercovfefe
@aaudrey1985
@truetruthtoday
@govtimwalz
@sbgutahmom

Top Mentioned in G4:
@mtaibbi
@dougsjourney2
@shellenbergermd
@newsmax
@yvespdb
@adorable_todd
@naoyafujiwara
@gatewaypundit
@mirandadevine
@nbreavington

Top Mentioned in G5:
@nateb_panic
@lauramiers
@drclairetaylor
@britain_people
@fiffribourg
@culturach
@19h30rts
@destinyrtoro
@chrischirp
@katepri14608408

Top Mentioned in G6:
@lopezobrador_
@arouet_v
@_lizvilchis
@amerangellorenz
@ferbelaunzaran
@carlosloret
@citlahm
@lorenzocordovav
@aracelibs
@latinus_us

Top Mentioned in G7:
@texaslindsay_
@jchilders98
@vacsafety
@unhealthytruth
@sonia_elijah
@oneadds
@tsilogloufreda
@thedude72339515
@andrewgillies9
@adriano72197026

Top Mentioned in G8:
@nytimes
@donvocero
@sauparts
@rivapa
@jacob_mauren
@matthewjshow
@doneford
@washingtonpost
@truthisjustice2
@catsandcursing

Top Mentioned in G9:
@timrunshismouth
@repthomasmassie
@catturd2
@nbcnews
@bennyjohnson
@marshablackburn
@nypost
@katiewr31413491
@mtaibbi
@pierrekory

Top Mentioned in G10:
@naomirwolf
@melemlem
@stkirsch
@jamesmelville
@diedsuddenly_
@freddiesayers
@statsjamie
@dailyclout
@texaslindsay_
@vigilantfox

Top Tweeters
Top Tweeters in Entire Graph:
@kompascom
@andyvermaut
@mistersalesman
@jurylady5
@unoticias
@iartg
@diarioprimicia
@el_universal_mx
@elpitazotv
@daily_express

Top Tweeters in G1:
@business
@bfmtv
@boottmills228
@usbornnraised
@khenry657
@madywaterer
@curtisscoon
@tumble_w33d
@yasthetwit
@wylopes1

Top Tweeters in G2:
@andyvermaut
@soniacolpo
@inquirerdotnet
@diariopanorama
@thesun
@dudacionista100
@interfax_news
@ahealthblog
@miami_diario
@the_hindu

Top Tweeters in G3:
@wavetossed
@iotwclaudia
@ninenewsnancy
@stilltish
@abortionisdead
@ritapanahi
@cup_of_jo__
@gwynninpa
@1mzerocool
@hoosiers1986

Top Tweeters in G4:
@maegan_laporte
@yvespdb
@a31x64vijay
@greenesj333
@justinemerieau
@luchadora41
@flmomnygirl
@stephphilip8
@noeasybrushoff
@gordbolton

Top Tweeters in G5:
@ghostcatbce
@shirleyyoung2
@telegraph
@joejaggi
@saffiya_khan1
@pkanagaratnam
@susancarver19
@michaelrosenyes
@drspl5
@truthfaustino

Top Tweeters in G6:
@pajaropolitico
@lopezdoriga
@ferbelaunzaran
@lalobernal1
@pevisandu
@tu_imss
@fernandotercero
@cardonamex
@alma15088641
@bereaguilarv

Top Tweeters in G7:
@omi_082
@laurabusse
@mamacee7
@lenautilus
@species_x
@thinkingabt
@unhealthytruth
@scalvert321
@warriorqueenthe
@owlbegood23

Top Tweeters in G8:
@gyggy
@iggy
@vickimo08056436
@nytimes
@washingtonpost
@richardweiner
@autumnalbaby
@bettyp711
@debbienester1
@rahulkmex

Top Tweeters in G9:
@kellyrek
@nypost
@simplify77
@nbcnews
@zaleskiluke
@misterchambo
@kehoe_ted
@sweetgaelicgirl
@evsanson
@melissa03295697

Top Tweeters in G10:
@charismaalasta1
@carlanun
@loreign83
@darleneclarke5
@angelah58
@paulturner2012
@clrfldcdaughtry
@memessunshine
@newswat26749496
@nelaknight