COVID, Twitter, 3/10/2023 8:55:01 AM, 290785
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COVID_2023-03-10_00-43-00.xlsx
COVID_2023-03-10_00-43-00.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
March 10, 2023
Short Description:
COVID via NodeXL https://bit.ly/3yqJS15
@jj38298583
@sethmacfarlane
@meetjess
@bennyjohnson
@potus
@drelidavid
@vigilantfox
@gavinnewsom
@mtaibbi
@foxnews

Top hashtags:
#covid
#chávezsiemprechávez
#covid19
#longcovid
#covid_19
#covidisntover
#cuba
#fauci
#sarscov2

Description:
Description
The graph represents a network of 6,742 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 08:49 UTC.

The tweets in the network were tweeted over the 1056-day, 2-hour, 55-minute period from Friday, 17 April 2020 at 22:04 UTC to Friday, 10 March 2023 at 01:00 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 : 6742
Unique Edges : 3079
Edges With Duplicates : 10883
Total Edges : 13962
Number of Edge Types : 9
Retweet : 3656
MentionsInRetweet : 4093
Replies to : 1414
MentionsInReplyTo : 2570
Tweet : 1432
Mentions : 440
MentionsInQuote : 83
Quote : 183
MentionsInQuoteReply : 91
Self-Loops : 1716
Reciprocated Vertex Pair Ratio : 0.0252317981456148
Reciprocated Edge Ratio : 0.0492216456634544
Connected Components : 1388
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 2639
Maximum Edges in a Connected Component : 6637
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.808547
Graph Density : 0.000148411952502366
Modularity : 0.505073
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,742 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 08:49 UTC.

The tweets in the network were tweeted over the 1056-day, 2-hour, 55-minute period from Friday, 17 April 2020 at 22:04 UTC to Friday, 10 March 2023 at 01:00 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:
[64] https://traffic.americanmilitarynews.com/2023/03/ca-county-spied-on-churchgoers-tracked-cell-data-to-enforce-covid-lockdowns-issue-fines/?utm_source=fbchat&utm_campaign=alt&utm_medium=facebook
[30] https://trib.al/9SAmy4I
[25] https://twitter.com/DrEliDavid/status/1633971396916256769/photo/1
[14] https://www.thestar.com/life/health_wellness/2023/03/09/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada.html
[13] https://rumble.com/v132s47-i-stand-by-the-truth-an-interview-with-dr.-reiner-fuellmich.html
[10] https://www.lefigaro.fr/sciences/covid-19-fallait-il-vraiment-se-faire-vacciner-20230309
[9] https://thehill.com/policy/healthcare/3892826-multiple-covid-variants-found-in-new-york-rats-study/
[9] https://twitter.com/luchovoltios/status/1633799387640918018/video/1
[8] https://www.zerohedge.com/covid-19/mother-sues-doctor-who-allegedly-administered-covid-19-vaccines-children-without-consent
[8] https://twitter.com/HarrisonHSmith/status/1633585851375419392/video/1

Top URLs in Tweet in G1:
[6] https://dailyclout.io/new-israeli-moh-study-shows-covid-vax-increases-your-risk-of-death-over-time/
[5] https://www.lakelandtoday.ca/beyond-local/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada-6675408
[3] https://www.zerohedge.com/covid-19/mother-sues-doctor-who-allegedly-administered-covid-19-vaccines-children-without-consent
[3] https://www.townandcountrytoday.com/beyond-local/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada-6675408
[3] https://www.scientificamerican.com/article/long-covid-now-looks-like-a-neurological-disease-helping-doctors-to-focus-treatments/
[3] https://twitter.com/OchsnerEM/status/1633994217977528321/photo/1
[2] https://www.newsweek.com/america-covid-response-was-based-lies-opinion-1785177
[2] https://www.airdrietoday.com/beyond-local/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada-6675408
[2] https://bitckoni.in/in-covids-long-shadow/?utm_source=SocialAutoPoster&utm_medium=Social&utm_campaign=Twitter
[2] https://twitter.com/fgidf98fj9jh0h/status/1633994084074549249/photo/1

Top URLs in Tweet in G2:
[64] https://traffic.americanmilitarynews.com/2023/03/ca-county-spied-on-churchgoers-tracked-cell-data-to-enforce-covid-lockdowns-issue-fines/?utm_source=fbchat&utm_campaign=alt&utm_medium=facebook
[4] https://twitchy.com/brettt-3136/2023/03/09/ap-says-its-a-crisis-that-hundreds-of-thousands-of-covid-grads-are-opting-to-forgo-college/
[3] https://childrenshealthdefense.org/defender/lockdown-files-united-kingdom-covid-pandemic-response/
[3] https://twitter.com/zavalaa/status/1633678116232269824
[2] https://variety.com/2023/film/news/woody-harrelson-anti-vax-covid-set-protocols-nonsense-1235537636/
[2] https://www.judicialwatch.org/ivermectin-for-treatment-of-covid/
[2] https://www.judicialwatch.org/mrna-test-rats-born-with-skeletal-deformations/?utm_source=t.co&utm_medium=social&utm_campaign=press%20release
[2] https://twitter.com/greg_price11/status/1633884562215321618
[2] https://www.youtube.com/watch?v=rFopNl6AQbA

[2] https://trendingpoliticsnews.com/gavin-newsom-gets-covid-after-fleeing-to-mexico-during-california-storms-mace/?utm_source=jdunlap&utm_medium=twitter

Top URLs in Tweet in G3:
[4] https://www.thestar.com/life/health_wellness/2023/03/09/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada.html?rf
[4] https://www.thestar.com/life/health_wellness/2023/03/09/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada.html
[2] https://geoffnesnow.medium.com/we-cant-wish-covid-19-away-9f7d1e9aee65
[2] https://twitter.com/SethMacFarlane/status/1633866785740165120
[2] https://twitter.com/ModernDarkAge/status/1633983820021002241/photo/1
[2] https://twitter.com/HallwayOrchard/status/1592921357360451586?s=20
[1] https://twitter.com/sethmacfarlane/status/1633866785740165120
[1] https://www.scientificamerican.com/article/long-covid-now-looks-like-a-neurological-disease-helping-doctors-to-focus-treatments/
[1] https://twitter.com/Acyn/status/1633911258922766337/video/1
[1] https://twitter.com/cathielbraun/status/1633944581527011330/photo/1

Top URLs in Tweet in G4:
[3] https://twitter.com/liz_elkind/status/1633855718834024448/photo/1
[2] https://www.c-span.org/video/?526520-1/house-subcommittee-examines-origins-covid-19
[2] https://twitter.com/RepMTG/status/1633510174479589387/video/1
[1] https://nypost.com/2023/03/07/house-intel-committee-oks-bill-to-declassify-covid-19-origin-report/?utm_campaign=iphone_nyp&utm_source=pasteboard_app
[1] https://twitter.com/RepMTG/status/1633170026613047297/video/1
[1] https://thepostmillennial.com/breaking-former-cdc-head-tells-mtg-gain-of-function-research-likely-cause-of-covid
[1] https://twitter.com/RepMTG/status/1633269316463345664/video/1
[1] https://twitter.com/here4liberty/status/1633994110955819009/photo/1
[1] https://twitter.com/kanelawless420/status/1633994425163567110/photo/1
[1] https://twitter.com/RonnyJacksonTX/status/1633647817490038786/video/1

Top URLs in Tweet in G5:
[2] https://www.thegatewaypundit.com/2023/03/not-making-headlines-faucis-darkest-day-caught-in-bribery-scheme-to-save-his-skin-repeatedly-lied-on-covid-origins-paid-off-doctors-former-cdc-chair-dr-redfield-testifies-confirms-all-v/
[2] https://twitter.com/jason_willz1/status/1633996031116431366/photo/1
[2] https://twitter.com/i/broadcasts/1dRJZMAZrYbGB
[1] https://twitter.com/VigilantFox/status/1633575129216167936/video/1
[1] https://twitter.com/i/web/status/1630337845796777985
[1] https://twitter.com/VigilantFox/status/1630337845796777985/video/1
[1] https://twitter.com/i/web/status/1633571505966571520
[1] https://twitter.com/VigilantFox/status/1633571505966571520/video/1
[1] https://twitter.com/i/web/status/1633489202124840960
[1] https://twitter.com/VigilantFox/status/1633489202124840960/video/1

Top URLs in Tweet in G6:
[7] https://www.steynonline.com/12900/naomi-wolf-a-steyn-show-special
[3] https://www.mdpi.com/2076-393X/11/2/358
[3] https://twitter.com/MarkSteynOnline/status/1633918208355844098/photo/1
[2] https://twitter.com/justsee/status/1456215828345475081?t=YHpHZgaD1T8vO0xeQAWI8w&s=19
[2] https://twitter.com/Storiesofinjury/status/1633992533318459395
[1] https://twitter.com/Storiesofinjury/status/1633995390704840704/photo/1
[1] https://www.foxnews.com/health/san-francisco-police-officer-separated-refusing-covid-vaccine-champions-free-choice-i-know-who-i-am
[1] https://twitter.com/i/web/status/1633987625844457478
[1] https://twitter.com/Storiesofinjury/status/1633987625844457478/photo/1
[1] https://twitter.com/i/web/status/1633992533318459395

Top URLs in Tweet in G7:
[4] https://twitter.com/Tracy_username/status/1633869351257243654/photo/1
[3] https://trendingpoliticsnews.com/gavin-newsom-gets-covid-after-fleeing-to-mexico-during-california-storms-mace/?utm_source=JE99&utm_medium=twitter
[2] https://twitter.com/JudiciaryGOP/status/1633515940204691456/video/1
[2] https://twitter.com/bennyjohnson/status/1633542979754287127
[2] https://redstate.com/bobhoge/2023/03/09/gavin-newsom-escaped-to-mexico-for-personal-trip-during-californias-deadly-storms-now-has-covid-n713858
[2] https://twitter.com/Insein81/status/1633986089642754049/photo/1
[1] https://twitter.com/bennyjohnson/status/1633947381048782849/video/1
[1] https://twitter.com/bennyjohnson/status/1633949046678102021/video/1
[1] https://twitter.com/cspan/status/1633491298819735552/video/1
[1] https://twitter.com/i/web/status/1633542979754287127

Top URLs in Tweet in G8:
[4] https://twitter.com/EricTopol/status/1633869839604527105/photo/1
[3] https://www.scientificamerican.com/article/the-number-of-children-orphaned-by-covid-keeps-rising/
[3] https://inews.co.uk/news/politics/ons-covid-infection-survey-paused-3-years-no-official-method-tracking-virus-2198861
[3] https://twitter.com/mskathleenquinn/status/1633710515510734863
[2] https://www.thestar.com/life/health_wellness/2023/03/09/report-says-long-covid-could-impact-economy-and-be-mass-disabling-event-in-canada.html
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41556-023-01096-x
[2] https://twitter.com/ccleighton/status/1633921596611080193?s=20
[2] https://twitter.com/GosiaGasperoPhD/status/1633326708324712453?s=20
[2] https://twitter.com/EricTopol/status/1633548865969487872?s=20
[1] https://nltimes.nl/2023/03/07/highest-new-covid-hospitalizations-year-sewage-analysis-suggests-infections

Top URLs in Tweet in G9:
[25] https://twitter.com/DrEliDavid/status/1633971396916256769/photo/1
[4] https://twitter.com/SenMarcoRubio/status/1633523518053703703/video/1
[3] https://twitter.com/RealMacReport/status/1633521836351959040/video/1
[3] https://jackanapes.substack.com/p/cdc-finally-released-its-vaers-safety
[3] https://www.dailymail.co.uk/health/article-11834599/Covid-vaccines-fast-tracked-quicker-virus-wasnt-deadly-enough.html
[2] https://twitter.com/DrEliDavid/status/1633199598377263104/photo/1
[2] https://twitter.com/AlastairMcA30/status/1573008020254363648
[2] https://expose-news.com/2023/03/08/confidential-pfizer-documents-reveal-covid-19-vaccination-is-going-to-lead-to-depopulation/
[1] https://twitter.com/DrEliDavid/status/1632109633828532225/photo/1
[1] https://twitter.com/DrEliDavid/status/1633245301694775305/photo/1

Top URLs in Tweet in G10:
[3] https://twitter.com/mtaibbi/status/1633830108321677315
[1] https://twitter.com/mtaibbi/status/1633830108321677315/photo/1
[1] https://twitter.com/JMichaelWaller/status/1633877463423139842/photo/1
[1] https://twitter.com/repthomasmassie/status/1633813845356544000
[1] https://tlavagabond.substack.com/p/the-covid-collaborators-rider-of
[1] https://twitter.com/BretWeinstein/status/1633978559696863233
[1] https://www.thefp.com/p/how-twitter-rigged-the-covid-debate
[1] https://www.youtube.com/watch?v=etvy-38jq3s

[1] https://twitter.com/davidzweig/status/1633880809487704064/photo/1
[1] https://twitter.com/townhallcom/status/1633886602350018560/video/1

Top Domains
Top Domains in Tweet in Entire Graph:
[1405] twitter.com
[67] americanmilitarynews.com
[55] trib.al
[38] youtube.com
[34] rumble.com
[33] substack.com
[28] co.uk
[24] thestar.com
[19] nature.com
[17] foxnews.com

Top Domains in Tweet in G1:
[85] twitter.com
[6] dailyclout.io
[5] lakelandtoday.ca
[4] foxnews.com
[4] rumble.com
[3] youtube.com
[3] theepochtimes.com
[3] zerohedge.com
[3] townandcountrytoday.com
[3] substack.com

Top Domains in Tweet in G2:
[64] americanmilitarynews.com
[63] twitter.com
[6] judicialwatch.org
[6] thegatewaypundit.com
[6] nypost.com
[5] childrenshealthdefense.org
[5] trendingpoliticsnews.com
[4] twitchy.com
[3] newsweek.com
[3] youtube.com

Top Domains in Tweet in G3:
[21] twitter.com
[8] thestar.com
[2] medium.com
[1] scientificamerican.com
[1] gov.au
[1] youtube.com
[1] covidsafenetwork.com
[1] apple.com

Top Domains in Tweet in G4:
[15] twitter.com
[2] c-span.org
[1] nypost.com
[1] thepostmillennial.com
[1] foxnews.com
[1] house.gov

Top Domains in Tweet in G5:
[33] twitter.com
[2] thegatewaypundit.com
[1] theepochtimes.com
[1] dailyclout.io
[1] newsweek.com
[1] gbdeclaration.org
[1] knowing-jesus.com
[1] brownstone.org
[1] substack.com
[1] steynonline.com

Top Domains in Tweet in G6:
[24] twitter.com
[7] steynonline.com
[3] mdpi.com
[1] foxnews.com
[1] com.au

Top Domains in Tweet in G7:
[28] twitter.com
[4] redstate.com
[3] trendingpoliticsnews.com
[1] youtube.com
[1] apple.com
[1] coloradonewsline.com

Top Domains in Tweet in G8:
[32] twitter.com
[5] co.uk
[4] scientificamerican.com
[3] nature.com
[2] thestar.com
[2] substack.com
[2] umn.edu
[2] washingtonpost.com
[1] nltimes.nl
[1] com.au

Top Domains in Tweet in G9:
[53] twitter.com
[4] substack.com
[4] co.uk
[2] expose-news.com
[1] dailysceptic.org
[1] lww.com
[1] irishtimes.com

Top Domains in Tweet in G10:
[9] twitter.com
[1] substack.com
[1] thefp.com
[1] youtube.com
[1] townhall.com
[1] trib.al
[1] stlouisfed.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[115] covid
[56] chávezsiemprechávez
[44] covid19
[39] longcovid
[18] covid_19
[14] covidisntover
[13] cuba
[11] fauci
[11] sarscov2
[10] covidisnotover



Top Hashtags in Tweet in G1:
[11] covid19
[10] covid
[5] coronavirus
[3] foxnews
[2] pandemic
[2] vaccine
[2] fauci
[2] ayokitavaksin
[2] ayovaksìncovid19
[2] vaksìnbooster

Top Hashtags in Tweet in G2:
[6] covid
[4] fox
[3] covid19
[3] fauci
[2] murdoch
[2] vaccine
[2] britain
[2] nhs
[2] science
[1] standupforamerica

Top Hashtags in Tweet in G3:
[2] covid19
[1] bcpoli
[1] longcovid
[1] mask
[1] bringbackmasks

Top Hashtags in Tweet in G4:
[2] covidvaccine
[1] fourthreich
[1] timeforjustice
[1] informedconsent
[1] mrna
[1] nz
[1] covidvaccines

Top Hashtags in Tweet in G5:
[1] pfizerismurderinc
[1] covid19
[1] gainoffunction
[1] vaccines
[1] vaccinesdidit
[1] hiv
[1] aids
[1] covid
[1] arrestfauci
[1] covidscam

Top Hashtags in Tweet in G6:
[5] covid
[3] themarksteynshow
[1] safeandeffective

Top Hashtags in Tweet in G7:
[1] verdict
[1] progressive
[1] msm

Top Hashtags in Tweet in G8:
[5] covid
[5] longcovid
[2] ventilation
[2] health
[2] productivity
[2] flu
[2] nhs
[2] immunocompromised
[2] cev
[2] metformin

Top Hashtags in Tweet in G9:
[2] panamá
[2] tbthursday
[1] prohibidoolvidar
[1] liarsofmsm

Top Hashtags in Tweet in G10:
[4] covid
[1] taibbi
[1] twitterfiles

Top Words
Top Words in Tweet in Entire Graph:
[4980] covid
[987] 19
[678] fauci
[532] dr
[443] people
[435] cdc
[407] long
[301] director
[287] vaccine
[282] more

Top Words in Tweet in G1:
[299] covid
[85] 19
[34] long
[23] canada
[21] people
[20] impact
[18] report
[16] event'
[16] time
[16] pandemic

Top Words in Tweet in G2:
[178] covid
[39] 19
[28] newsom
[26] public
[25] people
[24] gavin
[24] robertkennedyjr
[23] biden
[21] positive
[21] health

Top Words in Tweet in G3:
[230] covid
[149] sethmacfarlane
[121] never
[119] dangers
[117] ve
[116] really
[115] succumbed
[115] hubris
[115] regarding
[64] long

Top Words in Tweet in G4:
[130] covid
[65] origin
[64] covid's
[60] coverup
[59] footage
[59] released
[58] origins
[58] detailing
[58] j6
[58] journalists

Top Words in Tweet in G5:
[120] study
[79] vigilantfox
[77] covid
[64] injection
[64] risk
[62] shows
[62] health
[62] death
[61] increased
[60] israeli

Top Words in Tweet in G6:
[127] covid
[60] federal
[50] storiesofinjury
[47] over
[47] related
[47] documents
[46] requesting
[46] randpaul
[46] ve
[46] letters

Top Words in Tweet in G7:
[116] covid
[113] fauci
[66] dr
[62] bennyjohnson
[60] cdc
[49] director
[48] tax
[48] american
[48] lab
[47] created

Top Words in Tweet in G8:
[174] covid
[88] long
[42] meetjess
[36] children
[32] number
[27] million
[23] treatments
[23] neurological
[22] disease
[22] helping

Top Words in Tweet in G9:
[149] covid
[58] drelidavid
[51] cdc
[48] fauci
[47] director
[34] former
[26] dr
[25] misinformation
[25] lots
[25] indeed

Top Words in Tweet in G10:
[101] mtaibbi
[98] against
[97] stories
[96] virality
[96] one
[96] take
[96] action
[96] email
[96] project
[96] multiple

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[975] covid,19
[322] long,covid
[268] dr,fauci
[240] cdc,director
[138] former,cdc
[131] covid,really
[131] dangers,covid
[127] ve,never
[126] hubris,regarding
[126] never,succumbed

Top Word Pairs in Tweet in G1:
[84] covid,19
[27] long,covid
[16] event',canada
[16] report,long
[16] 'mass,disabling
[16] economy,'mass
[16] covid,impact
[16] disabling,event'
[16] impact,economy
[9] during,covid

Top Word Pairs in Tweet in G2:
[38] covid,19
[24] gavin,newsom
[20] positive,covid
[19] public,health
[18] covid,response
[16] unethical,breakdown
[16] breakdown,public
[16] response,biggest
[16] biggest,tragic
[16] tragic,unethical

Top Word Pairs in Tweet in G3:
[117] dangers,covid
[115] covid,really
[115] succumbed,hubris
[115] regarding,dangers
[115] hubris,regarding
[115] never,succumbed
[115] ve,never
[114] sethmacfarlane,ve
[57] long,covid
[11] sethmacfarlane,long

Top Word Pairs in Tweet in G4:
[58] journalists,detailing
[58] footage,released
[58] bombshell,revelations
[58] fauci's,coverup
[58] origin,fauci's
[58] released,bombshell
[58] coverup,journalists
[58] covid's,origin
[58] revelations,covid's
[58] j6,footage

Top Word Pairs in Tweet in G5:
[61] risk,death
[60] increased,risk
[60] ministry,health
[60] covertly,released
[60] injection,study
[60] israeli,ministry
[60] health,shows
[60] study,covertly
[60] death,injection
[60] released,israeli

Top Word Pairs in Tweet in G6:
[46] requesting,documents
[45] 25,letters
[45] documents,related
[45] sent,over
[45] agencies,requesting
[45] over,25
[45] more,federal
[45] absolutely,outrageous
[45] letters,more
[45] ve,sent

Top Word Pairs in Tweet in G7:
[57] dr,fauci
[49] cdc,director
[48] american,tax
[46] admitted,dr
[46] fauci,career
[46] covid,chinese
[46] destroyed,cdc
[46] using,american
[46] lab,using
[46] bennyjohnson,fauci

Top Word Pairs in Tweet in G8:
[75] long,covid
[22] treatments,causes
[22] looks,neurological
[22] covid,looks
[22] causes,long
[22] disease,helping
[22] focus,treatments
[22] doctors,focus
[22] neurological,disease
[22] helping,doctors

Top Word Pairs in Tweet in G9:
[34] cdc,director
[33] former,cdc
[25] lots,covid
[25] covid,misinformation
[25] indeed,lots
[24] drelidavid,indeed
[23] please,listen
[23] director,revelations
[23] testimony,former
[23] revelations,regarding

Top Word Pairs in Tweet in G10:
[96] action,against
[96] against,stories
[96] take,action
[96] virality,project
[95] 32,one
[95] multiple,platforms
[95] remarkable,email
[95] one,remarkable
[95] email,virality
[95] project,recommends

Top Replied-To
Top Replied-To in Entire Graph:
@sethmacfarlane
@covid_clarity
@ctvnews
@foxnews
@kanekoathegreat
@drjamesolsson
@acyn
@gavinnewsom
@baddcompani
@nypost

Top Replied-To in G2:
@gavinnewsom
@nypost
@potus
@foxnews
@timrunshismouth
@zavalaa
@gatewaypundit
@newsmax
@giobruno1600
@greg_price11

Top Replied-To in G3:
@sethmacfarlane
@acyn
@mitchlafon
@colossusphd
@dtsswamprats
@debbiehemenway
@moderndarkage
@nb_covid_info
@gov_nb
@vicbrian2

Top Replied-To in G4:
@repmtg
@ronnyjacksontx
@charliekirk11
@latimes
@shawgerald4
@barbaraslavin1
@this_just_in89
@flapjackmoose
@timrunshismouth

Top Replied-To in G5:
@vigilantfox
@longjacket2
@iancookalberta
@lujan588
@liz_churchill8
@sunnyside_83
@jason_willz1
@thechiefnerd

Top Replied-To in G6:
@storiesofinjury
@randpaul
@mtaibbi
@irvinenp
@dystopian_du
@truenorthcentre
@naomirwolf

Top Replied-To in G7:
@gjimbino
@elonmusk
@thedrunkenfish_
@jaketapper
@oldsgtmaj52
@bennyjohnson
@jennaellisesq
@tpostmillennial
@thefinalnug
@sustainableme09

Top Replied-To in G8:
@fourwinns298
@washingtonpost
@johnpringdns
@julietisamod
@skynewsthompson
@brownecfm
@ons
@am800news
@justintrudeau

Top Replied-To in G9:
@cartlanddavid
@storiesofinjury
@humble_analysis

Top Replied-To in G10:
@mtaibbi
@amcc1321
@davegarber1975
@mouthyoldbat
@totlguy

Top Mentioned
Top Mentioned in Entire Graph:
@sethmacfarlane
@mtaibbi
@daacervo
@vigilantfox
@bennyjohnson
@drelidavid
@charliekirk11
@kanekoathegreat
@baddcompani
@storiesofinjury

Top Mentioned in G1:
@stcatstandard
@gerhardmatthew1
@toranpu20
@traderhc
@a_glake
@19goldstein84
@davidblogericbw
@wellandtribune
@houaria51

Top Mentioned in G2:
@robertkennedyjr
@gavinnewsom
@potus
@gop
@jim_jordan
@judicialwatch
@housegop
@proudelephantus
@speakermccarthy
@claytravis

Top Mentioned in G3:
@sethmacfarlane
@nb_covid_info
@mamasitaa__
@alexmeshkin
@richardzussman
@acyn
@drbrendahardie
@covidsafenetwrk
@cathielbraun

Top Mentioned in G4:
@charliekirk11
@repmtg
@hawleymo
@ronnyjacksontx
@timrunshismouth
@covidselect
@petersweden7
@alx
@elisestefanik

Top Mentioned in G5:
@vigilantfox
@drjbhattacharya
@angrifrog
@thechiefnerd
@repannaeshoo
@jeffreyatucker
@boriquagato
@dailyclout
@dowdedward
@thestrong1971

Top Mentioned in G6:
@storiesofinjury
@randpaul
@repclayhiggins
@repboebert
@citizenfreepres
@marksteynonline
@vigilantfox
@jacque_holroyd
@bambkb
@holden_salinger

Top Mentioned in G7:
@bennyjohnson
@elonmusk
@barbencrotts
@thefool1979
@ozlowe_
@bentodar
@remarks
@jennaellisesq
@jim_jordan
@judiciarygop

Top Mentioned in G8:
@meetjess
@erictopol
@ons
@washingtonpost
@fourwinns298
@sethmacfarlane
@dakota_150
@chrischirp
@black_kghp
@katepri14608408

Top Mentioned in G9:
@drelidavid
@goddeketal
@humble_analysis
@sublevados_
@cartlanddavid
@tonyhinton2016
@allisonpearson
@senmarcorubio
@jessicaledezmam
@nbreavington

Top Mentioned in G10:
@mtaibbi
@repthomasmassie
@shellenbergermd
@ellymelly
@townhallcom
@davegarber1975
@mouthyoldbat
@texaslindsay_
@repmtg
@cdcgov

Top Tweeters
Top Tweeters in Entire Graph:
@suntory
@elnacionalweb
@tomthunkitsmind
@jornalistavitor
@mistersalesman
@unoticias
@monicasloves
@diariotalcual
@sosorasora3
@lizditz

Top Tweeters in G1:
@mistersalesman
@thedextazlab
@treporta
@danspena
@citytv
@abnewswire
@cnnee
@martinesprisci
@observadorpt
@ukrayan

Top Tweeters in G2:
@joec1776
@nypost
@jusplaintalk101
@newsweek
@omaproud
@rantyamycurtis
@sebwrites
@epochtimes
@theleightons327
@sweetgaelicgirl

Top Tweeters in G3:
@suestroud
@sbb388
@brendaweese
@zombiesarebad
@jchilton666
@bethechange1682
@hellomocha
@andijohnson1
@juliadelbel
@angelofmercy911

Top Tweeters in G4:
@latimes
@jo_castromax
@mapada1
@kjusticemotors
@pboltex
@memessunshine
@smallbizrescafe
@annetony2020
@noltg
@echristensen113

Top Tweeters in G5:
@kenkou2heiwa2
@tommy15616
@clrfldcdaughtry
@zekegary2
@cherri74887119
@mem_allofgrace4
@pejjsisjs
@rorotrader
@nakaka_
@scr385w

Top Tweeters in G6:
@elalam_vnz
@pixiedust5135
@outli3rthe
@keliveronezi
@joe_in_indiana
@joesmit34957337
@libertysroar
@couriermail
@cuda1791
@fingayle

Top Tweeters in G7:
@susaninlaguna
@jaketapper
@crrja5
@redstate
@1776jessi3cagrl
@cmileff
@mollie_don
@terriblewis1
@ktrasta
@tracy_username

Top Tweeters in G8:
@rebellegrrl
@emccoy_writer
@washingtonpost
@saffiya_khan1
@anik1968
@politico
@yeswombat
@nomorebooks
@itsmechrissilee
@090_0655

Top Tweeters in G9:
@norejj
@independent_ie
@fjeb88
@cesaralva58
@tupelohoney2000
@sophie55179587
@ewanmackenna
@carlnavi
@s_kpatel
@crash_the_flash

Top Tweeters in G10:
@patriotczar
@debster7301
@jennyjinx
@trinitychooster
@gregre001
@donnabarbieri3
@paulaledfordwa1
@arianeabm
@njcailin
@mouthyoldbat


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