NCoV, Twitter, 1/14/2023 12:24:33 PM, 287968


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NCoV_2023-01-14_03-12-01.xlsx
NCoV_2023-01-14_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 14, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3kbjUuJ
@robertkennedyjr
@repandybiggsaz
@claytravis
@stellaescotv
@oann
@cdcgov
@flsurgeongen
@us_fda
@carydavid722
@draseemmalhotra

Top hashtags:
#covid19
#cdc
#longcovid
#covid_19
#vaccine
#coronavirus
#pfizer
#suddendeaths2023

Description:
Description
The graph represents a network of 5,279 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1081-day, 13-hour, 16-minute period from Tuesday, 28 January 2020 at 11:44 UTC to Saturday, 14 January 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 : 5279
Unique Edges : 2751
Edges With Duplicates : 10752
Total Edges : 13503
Number of Edge Types : 9
Retweet : 4550
MentionsInRetweet : 6063
Tweet : 235
MentionsInReplyTo : 2051
Replies to : 430
Mentions : 78
MentionsInQuote : 13
Quote : 27
MentionsInQuoteReply : 56
Self-Loops : 312
Reciprocated Vertex Pair Ratio : 0.00982474774296336
Reciprocated Edge Ratio : 0.0194583223770707
Connected Components : 223
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 4621
Maximum Edges in a Connected Component : 12192
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.171397
Graph Density : 0.000272982793183197
Modularity : 0.502462
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,279 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1081-day, 13-hour, 16-minute period from Tuesday, 28 January 2020 at 11:44 UTC to Saturday, 14 January 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 : NCoV
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:
[2706] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[4] https://twitter.com/TheChiefNerd/status/1613992087782887443/video/1
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[4] https://twitter.com/thechiefnerd/status/1613992087782887443
[4] https://twitter.com/dilleradollar/status/1614039013832417280/photo/1
[4] https://www.foxnews.com/health/cdc-identifies-possible-safety-concern-certain-people-receiving-covid-vaccines

Top URLs in Tweet in G1:
[1504] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[1] https://childrenshealthdefense.org/defender/cnn-moderna-fda-cdc-covid-boosters/

Top URLs in Tweet in G2:
[56] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[1] https://accounts.haymarketmedia.com/authcheck?gn=101&retUrl=https%3A%2F%2Fwww.thecardiologyadvisor.com%2Fhome%2Ftopics%2Facs%2Facute-coronary-syndrome-acs-biomarkers-mrna-covid19-vaccine%2F&NoCheck=true
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://twitter.com/jprince_cheryl/status/1611338566356836356/video/1

Top URLs in Tweet in G3:
[719] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[1] https://twitter.com/StellaEscoTV/status/1614007076178792448/video/1

Top URLs in Tweet in G4:
[30] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[3] https://twitter.com/k_fro57/status/1614008588376342529/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/k_fro57/status/1614008588376342529
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html?s=03

Top URLs in Tweet in G5:
[36] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[4] https://twitter.com/dilleradollar/status/1614039013832417280/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[1] https://twitter.com/backtolife_2023/status/1613222440695435265/video/1
[1] https://twitter.com/adegraat/status/1613070384332521472/photo/1
[1] https://twitter.com/ncdhhs/status/1614027017590030336
[1] https://covid19.ncdhhs.gov/vaccines?utm_source=(direct)&utm_medium=(none)&utm_campaign=myspot.nc.gov
[1] https://twitter.com/ncdhhs/status/1614027017590030336/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G6:
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-safety-children-teens.html
[1] https://twitter.com/AlastairMcA30/status/1613942853419536385/photo/1
[1] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/heart-problems-after-covid19
[1] https://www.youtube.com/watch?v=LD2lhNnlDbQ&feature=youtu.be

[1] https://twitter.com/i/spaces/1MnxnpyMBoLGO
[1] https://twitter.com/caulfieldtim/status/1613935845916168195
[1] https://twitter.com/CaulfieldTim/status/1613935845916168195/photo/1
[1] https://twitter.com/TurnOffYourTvN1/status/1613861600489869314

Top URLs in Tweet in G7:
[18] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G8:
[83] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[3] https://twitter.com/jephfoust/status/1614022957726158848/photo/1
[2] https://c11.kr/196gt
[2] https://ncv.kdca.go.kr/ncov
[2] https://tools.cdc.gov/api/embed/downloader/download.asp?m=403372&c=733467&utm_source=dlvr.it&utm_medium=twitter
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11749-sars-cov-2-24.html
[2] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[2] https://twitter.com/pugnare_retro/status/1614038625074958338/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html?s=09

Top URLs in Tweet in G9:
[57] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.foxnews.com/health/cdc-identifies-possible-safety-concern-certain-people-receiving-covid-vaccines
[2] https://twitter.com/DrAseemMalhotra/status/1613837487796850688
[2] https://www.washingtonpost.com/health/2023/01/13/pfizer-covid-vaccine-safety/
[1] https://twitter.com/tylerblack32/status/1613969735414321152
[1] https://www.canada.ca/en/public-health/services/diseases/coronavirus-disease-covid-19/vaccines/safety-side-effects.html
[1] https://www.who.int/news-room/feature-stories/detail/side-effects-of-covid-19-vaccines
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/atRachelGilmore/status/1614031915572412419/photo/1
[1] https://twitter.com/DrAseemMalhotra/status/1613837487796850688/video/1

Top URLs in Tweet in G10:
[3] https://twitter.com/THOMASB16309228/status/1613854189263667200/photo/1
[3] https://twitter.com/Louan07/status/1612411274679259136/photo/1
[2] https://twitter.com/meadamlamarquis/status/1613975240622899203/photo/1
[2] https://twitter.com/Morisset2022/status/1613916524481478658/photo/1
[1] https://twitter.com/_2019_nCoV/status/1613814103272837121/photo/1
[1] https://newspunch.com/bill-gates-vows-to-pump-mrna-into-food-supply-to-force-jab-the-unvaccinated/
[1] https://twitter.com/AbbasNasr19/status/1613992926832463872/photo/1
[1] https://twitter.com/yovi_jevois/status/1614041232262537218/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[2806] cdc.gov
[186] twitter.com
[6] go.kr
[6] who.int
[5] gob.es
[5] foxnews.com
[4] ibaraki.jp
[4] lg.jp
[4] go.jp
[3] publichealthontario.ca

Top Domains in Tweet in G1:
[1504] cdc.gov
[1] childrenshealthdefense.org

Top Domains in Tweet in G2:
[57] cdc.gov
[1] haymarketmedia.com
[1] twitter.com

Top Domains in Tweet in G3:
[719] cdc.gov
[1] twitter.com

Top Domains in Tweet in G4:
[32] cdc.gov
[4] twitter.com

Top Domains in Tweet in G5:
[40] cdc.gov
[8] twitter.com
[1] ncdhhs.gov

Top Domains in Tweet in G6:
[41] cdc.gov
[7] twitter.com
[2] co.uk
[1] hopkinsmedicine.org
[1] youtube.com
[1] theepochtimes.com
[1] substack.com

Top Domains in Tweet in G7:
[19] cdc.gov

Top Domains in Tweet in G8:
[97] cdc.gov
[19] twitter.com
[6] go.kr
[2] c11.kr
[2] go.jp
[2] bvsalud.org
[1] wikipedia.org
[1] memeorandum.com
[1] linkedin.com
[1] publichealthontario.ca

Top Domains in Tweet in G9:
[60] cdc.gov
[12] twitter.com
[2] foxnews.com
[2] washingtonpost.com
[2] torontosun.com
[1] canada.ca
[1] who.int
[1] apnews.com
[1] dailysignal.com
[1] ctvnews.ca

Top Domains in Tweet in G10:
[13] twitter.com
[1] newspunch.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[11] covid19
[10] cdc
[7] longcovid
[4] covid_19
[4] vaccine
[3] coronavirus
[3] pfizer
[3] suddendeaths2023
[3] covid
[3] 新型コロナウイルス感染症情報



Top Hashtags in Tweet in G1:
[1] stoptheshotsnow

Top Hashtags in Tweet in G2:
[2] covid19
[1] pfizerfiles

Top Hashtags in Tweet in G4:
[1] cdc
[1] covidvaccinevictims

Top Hashtags in Tweet in G5:
[2] cdc
[1] covidresponse
[1] heartfailure
[1] cardiacarrest
[1] bloodclots
[1] seizures
[1] suddendeath
[1] covid19vaccines
[1] slowthespread
[1] dontwaittovaccinate

Top Hashtags in Tweet in G6:
[1] covid19
[1] bbcnews
[1] vaccineswork
[1] faucifiles
[1] stoptheshots

Top Hashtags in Tweet in G8:
[3] vaccine
[3] covid19
[2] covid
[2] covid_19
[2] cdc
[2] fda
[1] 의정부시청
[1] 안전안내문자
[1] 재난문자
[1] stoptheshotsnow

Top Hashtags in Tweet in G9:
[1] arresttrudeau
[1] trudeauisapsychopath
[1] trudeaumustgo

Top Hashtags in Tweet in G10:
[2] soignantssuspendus
[2] melenchon
[1] edf
[1] mafiosi
[1] covid
[1] lula
[1] schwab
[1] dépopulation
[1] cqfd
[1] pfizer

Top Words
Top Words in Tweet in Entire Graph:
[4384] cdc
[2127] investigating
[1766] fda
[1734] years
[1707] covid
[1671] information
[1665] known
[1654] two
[1654] everyone
[1651] robertkennedyjr

Top Words in Tweet in G1:
[1505] cdc
[1503] fda
[1502] years
[1500] everyone
[1500] two
[1500] information
[1500] alarming
[1500] known
[1499] robertkennedyjr
[4] vaccine

Top Words in Tweet in G2:
[815] cdc
[762] vaccine
[761] people
[761] surge
[761] covid
[761] suffered
[761] received
[761] investigating
[761] incidents
[760] repandybiggsaz

Top Words in Tweet in G3:
[777] cdc
[739] investigating
[699] strokes
[683] bivalent
[683] pfizer
[682] link
[682] oann
[682] shot
[682] possible
[682] between

Top Words in Tweet in G4:
[576] cdc
[545] covid
[544] people
[544] investigating
[514] strokes
[512] claytravis
[512] shots
[510] announced
[510] older
[510] booster

Top Words in Tweet in G5:
[376] cdcgov
[369] us_fda
[369] shots
[366] flsurgeongen
[365] mrna
[365] know
[364] better
[364] afternoon
[364] americans
[364] friday

Top Words in Tweet in G6:
[19] berrytartlet
[19] leelasik
[19] johannaszabo1
[19] cas2328
[17] its_agenda_2030
[17] ssz1967
[17] glenmacafee
[17] 0800_ksmy_ass
[17] crazycdn2
[17] mhunt081266

Top Words in Tweet in G7:
[190] cdc
[162] vaccine
[155] criteria
[155] prompt
[155] statistical
[155] met
[146] pfizer
[145] bivalent
[141] investigation
[141] additional

Top Words in Tweet in G8:
[84] cdc
[59] covid
[57] 65
[56] 19
[51] vaccine
[49] safety
[48] signal
[47] older
[44] years
[43] aged

Top Words in Tweet in G9:
[31] cdc
[27] covid
[23] atrachelgilmore
[20] vaccine
[19] vaccines
[15] 19
[15] people
[12] safety
[12] signal
[11] 65

Top Words in Tweet in G10:
[47] _2019_ncov
[9] ce
[8] lula
[7] force
[7] julienm__
[7] verity_france
[6] pierrejovanovic
[6] tatiann69922625
[6] michelstarr001
[6] fart47404663

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1760] cdc,fda
[1652] two,years
[1651] known,two
[1651] alarming,information
[1651] information,cdc
[1651] everyone,known
[1651] fda,everyone
[1650] robertkennedyjr,alarming
[1567] cdc,investigating
[866] covid,vaccine

Top Word Pairs in Tweet in G1:
[1502] cdc,fda
[1500] alarming,information
[1500] fda,everyone
[1500] known,two
[1500] everyone,known
[1500] information,cdc
[1500] two,years
[1499] robertkennedyjr,alarming
[2] fda,identify
[2] covid,19

Top Word Pairs in Tweet in G2:
[761] received,covid
[761] investigating,surge
[761] surge,incidents
[761] incidents,people
[761] cdc,investigating
[761] covid,vaccine
[761] vaccine,suffered
[761] people,received
[760] repandybiggsaz,cdc
[53] fda,everyone

Top Word Pairs in Tweet in G3:
[722] cdc,investigating
[683] pfizer,bivalent
[682] possible,link
[682] strokes,oann
[682] link,between
[682] shot,strokes
[682] bivalent,shot
[682] between,pfizer
[682] investigating,possible
[681] stellaescotv,cdc

Top Word Pairs in Tweet in G4:
[510] shots,tip
[510] strokes,older
[510] booster,shots
[510] people,caused
[510] covid,booster
[510] announced,investigating
[510] cdc,announced
[510] investigating,strokes
[510] caused,covid
[510] older,people

Top Word Pairs in Tweet in G5:
[368] cdcgov,us_fda
[364] us_fda,americans
[364] mrna,shots
[364] americans,know
[364] time,friday
[364] afternoon,cdcgov
[364] know,mrna
[364] better,time
[364] friday,afternoon
[363] flsurgeongen,better

Top Word Pairs in Tweet in G6:
[17] daledarcy4,joe09396262
[17] leelasik,cas2328
[17] mattyboysmit1,amber84280581
[17] billsam390,rw_christian
[17] incytometry,its_agenda_2030
[17] sleighthanded,incytometry
[17] carlsmythe,adrienn_me
[17] mhunt081266,5shezz4
[17] nicolas_gaboury,sc_ott
[17] hoothathuh,nicolas_gaboury

Top Word Pairs in Tweet in G7:
[155] met,statistical
[155] statistical,criteria
[155] criteria,prompt
[144] pfizer,bivalent
[141] additional,investigation
[141] prompt,additional
[134] report,pfizer
[134] bivalent,vaccine
[134] vaccine,met
[134] cdc,report

Top Word Pairs in Tweet in G8:
[56] covid,19
[46] safety,signal
[44] 19,vaccine
[43] aged,65
[43] vaccine,safety
[42] 65,years
[42] persons,aged
[42] signal,persons
[42] cdc,fda
[42] identify,preliminary

Top Word Pairs in Tweet in G9:
[15] covid,19
[13] 19,vaccine
[10] safety,signal
[8] cdc,fda
[7] actual,covid
[6] family,doctor
[6] helpful,resources
[6] resources,actual
[6] doctor,helpful
[6] breaking,cdc

Top Word Pairs in Tweet in G10:
[6] verity_france,fart47404663
[6] planetes360,pierrejovanovic
[6] fart47404663,michelstarr001
[6] _2019_ncov,planetes360
[6] pierrejovanovic,tatiann69922625
[6] tatiann69922625,verity_france
[5] force,prison
[5] nova153,banounhelene
[5] injectés,force
[5] michelstarr001,nova153

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@atrachelgilmore
@charliekirk11
@drsimonegold
@swords_mr
@ryanbeed
@dc_draino
@thechiefnerd
@mattwallace888
@jojofromjerz

Top Replied-To in G2:
@angelabelcamino
@lfoolride

Top Replied-To in G4:
@bobsagetsmom
@aguyjbdn
@jaycesplace
@danielhadas2
@kikibean8

Top Replied-To in G5:
@rizzaislam
@cupcakecorneruk
@alexberenson
@jamesmelville
@adegraat
@steffanmarsman
@ncdhhs

Top Replied-To in G6:
@swords_mr
@ryanbeed
@alastairmca30
@zxbxngxz
@sgriffin_lab
@matthancock
@ajwodecki
@shaneakaprop
@f_kyburz
@pkdocker9

Top Replied-To in G9:
@atrachelgilmore
@drsimonegold
@thetorontosun
@_aussie17
@draseemmalhotra
@diegohawk666
@ran6omthoughts
@randyhillier
@fouldsiain
@rycunni

Top Replied-To in G10:
@_2019_ncov
@julienm__
@surturrising22

Top Mentioned
Top Mentioned in Entire Graph:
@robertkennedyjr
@repandybiggsaz
@oann
@stellaescotv
@claytravis
@cdcgov
@us_fda
@flsurgeongen
@martymakary
@philhollowayesq

Top Mentioned in G1:
@robertkennedyjr

Top Mentioned in G2:
@repandybiggsaz
@robertkennedyjr

Top Mentioned in G3:
@oann
@stellaescotv
@repandybiggsaz
@robertkennedyjr
@claytravis
@martymakary

Top Mentioned in G4:
@claytravis
@repandybiggsaz
@robertkennedyjr
@washingtonpost
@ben_in_utah
@tmweber
@dr_eeks
@danielhadas2

Top Mentioned in G5:
@cdcgov
@us_fda
@flsurgeongen
@jamesmelville
@robertkennedyjr
@repandybiggsaz
@stellaescotv
@oann
@claytravis
@martymakary

Top Mentioned in G6:
@johannaszabo1
@berrytartlet
@leelasik
@cas2328
@cbeckj
@redheadlass1402
@takethatct
@sunshine_toes
@troydee
@golfergirl2018

Top Mentioned in G7:
@martymakary
@rfsquared
@claytravis
@stellaescotv
@oann
@repandybiggsaz
@robertkennedyjr
@chrisredreports
@flsurgeongen
@cdcgov

Top Mentioned in G9:
@atrachelgilmore
@draseemmalhotra
@robdoel
@diegohawk666
@hedleyrees
@tomhfh
@theconwom
@mk_hostile17
@jikkyleaks
@trialsiten

Top Mentioned in G10:
@_2019_ncov
@verity_france
@planetes360
@pierrejovanovic
@tatiann69922625
@fart47404663
@michelstarr001
@nova153
@banounhelene
@gilleswell

Top Tweeters
Top Tweeters in Entire Graph:
@souljahsingh
@chris_1791
@phildecarolis
@matiere
@yastomohalumisa
@all435reps
@salomnm
@thomasmarinojr
@guardian
@heidiec5

Top Tweeters in G1:
@phildecarolis
@ambinc1
@bikerbd
@susaninlaguna
@thetoyman1
@inky_mark
@carlanun
@ish1500ka
@william85837998
@tnakom

Top Tweeters in G2:
@all435reps
@doodlestrks
@lisaannega
@politiwars
@studpardee
@hnkimma
@mamab_l
@j_dickson12
@blueyes9445
@robertbradleyj2

Top Tweeters in G3:
@salomnm
@rlyor
@ebscbwi
@aukletqd
@katsuhikotsuda
@ia_vets
@jordiggcc
@annstokes55
@drag0nmaster17
@desicuban

Top Tweeters in G4:
@souljahsingh
@thomasmarinojr
@heidiec5
@rpmsports18
@1catherinesiena
@washingtonpost
@antoinotabot
@wil_johnson1
@wwfrawiswar
@clantro

Top Tweeters in G5:
@cyclejunkie88
@librecapitalist
@annforliberty
@stewbiedoobydo
@bucmon21
@yellowbird70
@lou05316597
@jd_gaffle
@mem_allofgrace4
@tom26058303

Top Tweeters in G6:
@bbcnews
@patriotczar
@doritmi
@paularitchie3
@monstercoyliar
@tlavagabond
@takethatct
@mcfunny
@no_pullbacks
@angryfleas

Top Tweeters in G7:
@gaypatriot
@luigi_warren
@lawyer4laws
@britom1947
@serendipiterry
@larryboorstein
@pmckasy
@juliecraighead
@drubald
@canadianbacons4

Top Tweeters in G8:
@matiere
@mary_swilling
@memeorandum
@cshislop
@grandmaj2
@agargmd
@kcshannonlee1
@suevelez19
@k_disastermsg
@ilindelatorremd

Top Tweeters in G9:
@globeandmail
@cbsnews
@ctvnews
@ap
@thetorontosun
@cbcnews
@globalnewsto
@julesserkin
@gillpowell4
@ctvedmonton

Top Tweeters in G10:
@nova153
@planetes360
@fleurdepee
@pierrejovanovic
@malainhoi
@julienm__
@_2019_ncov
@nanamiemarie
@narashi13876794
@laurencepino


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