Coronavirus, Twitter, 8/17/2022 12:51:49 PM, 280216


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Coronavirus_2022-08-17_01-26-41.xlsx
Coronavirus_2022-08-17_01-26-41.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 17, 2022
Short Description:
Coronavirus via NodeXL https://bit.ly/3K03BJU
@cdcgov
@draseemmalhotra
@maryannedemasi
@fatemperor
@cretetara
@auspublichealth
@twister23453594
@patway1979
@wsjp_insight
@felicgr

Top hashtags:
#covid19
#coronavirus
#covid
#covid_19
#covidー19
#新型コロナウイルス
#toquedequeda

Description:
Description
The graph represents a network of 7,888 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 08:45 UTC.

The requested start date was Wednesday, 17 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 1-hour, 17-minute period from Sunday, 14 August 2022 at 11:07 UTC to Tuesday, 16 August 2022 at 12:25 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 7888
Unique Edges : 3716
Edges With Duplicates : 12531
Total Edges : 16247
Number of Edge Types : 5
Retweet : 5618
MentionsInRetweet : 6382
Replies to : 517
Mentions : 1806
Tweet : 1924
Self-Loops : 2117
Reciprocated Vertex Pair Ratio : 0.00563229180635644
Reciprocated Edge Ratio : 0.011201493532471
Connected Components : 1607
Single-Vertex Connected Components : 718
Maximum Vertices in a Connected Component : 1890
Maximum Edges in a Connected Component : 4380
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.244773
Graph Density : 0.000120538174740522
Modularity : 0.491416
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,888 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 August 2022 at 08:45 UTC.

The requested start date was Wednesday, 17 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 2-day, 1-hour, 17-minute period from Sunday, 14 August 2022 at 11:07 UTC to Tuesday, 16 August 2022 at 12:25 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Coronavirus
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:
[640] https://www.worldometers.info/coronavirus/
[277] https://newsdigest.jp/pages/coronavirus/
[74] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[73] https://www.casaitaliaradio.com/
[45] https://www.express.co.uk/news/uk/1655768/covid-jab-vaccine-mandates-medics-antivax-support-coronavirus
[44] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[26] https://www.nicovideo.jp/watch/sm40925387
[25] https://www3.nhk.or.jp/news/special/coronavirus/data/
[21] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[20] http://obamaschannel.blogspot.com/2022/03/a-mis-abuelos-los-cuatro.html?m=1

Top URLs in Tweet in G1:
[19] https://www3.nhk.or.jp/news/special/coronavirus/data/
[11] https://fij.info/coronavirus-feature/overseas#tempo0211
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[6] https://www.express.co.uk/news/uk/1655768/covid-jab-vaccine-mandates-medics-antivax-support-coronavirus
[5] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[5] https://www3.nhk.or.jp/news/special/coronavirus/
[5] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[5] https://www.francetvinfo.fr/sante/maladie/coronavirus/vaccin/moderna-va-ouvrir-une-usine-de-vaccins-a-arn-messager-en-australie_5309509.html
[5] https://www.cinconoticias.com/beneficiados-crisis-coronavirus/
[4] https://mttag.com/cc/cOELXVxWy80

Top URLs in Tweet in G2:
[607] https://www.worldometers.info/coronavirus/

Top URLs in Tweet in G3:
[16] https://www.express.co.uk/news/uk/1655768/covid-jab-vaccine-mandates-medics-antivax-support-coronavirus
[4] https://www.nzherald.co.nz/world/covid-19-coronavirus-wuhan-virus-lab-scientist-thought-to-be-patient-zero-still-missing/VA4TIO726U7P36ZQG2WLHDDTNA/
[2] https://www.nzherald.co.nz/world/covid-19-coronavirus-wuhan-doctor-tells-what-it-was-really-like/6Q23B4ISGLPT7U7QC34G4VDAA4/
[1] https://www.europeanscientist.com/en/features/being-pro-covid-19-vaccines-and-pro-transparency-are-not-mutually-exclusive-ending-all-mandates-globally-and-accessing-the-raw-data-is-now-essential-to-restore-trust/?utm_source=dlvr.it&utm_medium=twitter
[1] https://www.nytimes.com/2020/03/19/health/coronavirus-panic-anxiety.html
[1] https://www.newscientist.com/article/2267598-did-the-coronavirus-really-come-from-frozen-food-as-the-who-suggests/
[1] https://www.health.vic.gov.au/media-releases/coronavirus-update-for-victoria-12-august-2022
[1] https://www.washingtonpost.com/health/2021/03/09/coronavirus-spread-world/
[1] https://s3.documentcloud.org/documents/6935295/NIH-Moderna-Confidential-Agreements.pdf
[1] https://www.vice.com/en/article/wnxqnm/ethical-questions-arise-after-scientists-brew-super-powerful-sars-20-virus

Top URLs in Tweet in G4:
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[9] http://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/media/releases/2022/p0811-covid-guidance.html
[2] https://vdata.nikkei.com/en/newsgraphics/coronavirus-vaccine-status/
[2] https://www.japantimes.co.jp/news/2022/06/27/national/no-masks/
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/pregnant-people.html
[1] https://www.washingtonpost.com/opinions/2020/11/24/close-schools-coronavirus-winter/
[1] https://www.miamidade.gov/global/initiatives/coronavirus/vaccine/vaccine-locator.page

Top URLs in Tweet in G5:
[3] https://www.laiguana.tv/articulos/1072371-ultimo-balance-coronavirus-venezuela-4/
[2] http://social.La

Top URLs in Tweet in G6:
[1] https://www.express.co.uk/news/uk/1655768/covid-jab-vaccine-mandates-medics-antivax-support-coronavirus
[1] https://web.archive.org/web/20220721092000/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[1] https://www.ctvnews.ca/health/coronavirus/moderna-ceo-says-covid-vaccines-will-evolve-like-an-iphone-1.6023144

Top URLs in Tweet in G7:
[5] https://www.rte.ie/news/coronavirus/2022/0815/1315741-covid-ireland/
[2] http://ws-jp.co.jp/2020/08/24/world-6/
[2] http://ws-jp.co.jp/2020/09/06/science-technology-9-coronavirus-11/
[2] http://ws-jp.co.jp/2020/12/06/science-technology-18-coronavirus-21/
[2] http://ws-jp.co.jp/2021/02/19/recent-articles-about-japan-8/
[2] http://ws-jp.co.jp/2021/02/15/science-technology-22-coronavirus-24/
[2] http://ws-jp.co.jp/2021/04/09/science-technology-23-coronavirus-25/
[2] http://ws-jp.co.jp/2021/01/14/recent-articles-about-japan-4/
[1] https://www.ksn.com/news/health/coronavirus/covid-19-nasal-spray-could-be-game-changer-researcher-says/
[1] https://www.washingtonpost.com/health/2022/08/14/coronavirus-cancer-personal-care/

Top URLs in Tweet in G8:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[3] https://slate.com/news-and-politics/2021/02/lancet-study-40-percent-u-s-covid-19-coronavirus-deaths-avoidable-unnecessary.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/about-variants.html
[1] https://www.traviscountytx.gov/40KYourWay
[1] https://www.vaccines.gov/search/
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html

Top URLs in Tweet in G9:
[37] https://www3.nhk.or.jp/news/special/coronavirus/data-all/
[1] https://web.sapmed.ac.jp/canmol/coronavirus/japan_death.html

Top URLs in Tweet in G10:
[3] https://www.thedailybeast.com/new-ba46-covid-variant-is-shaping-up-to-be-a-deja-vu-nightmare?source=articles&via=rss&utm_content=bufferac2a8&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[3] https://www.ladr.de/fachgebiete/medizinische-fachgebiete/infektiologie-/-mikrobiologie/coronavirus-sars-cov-2/coronavirus-sars-cov-2-ct-wert
[3] https://www.welt.de/politik/deutschland/plus237106177/Coronavirus-Impf-Nebenwirkungen-deutlich-mehr-als-bisher-bekannt.html
[3] https://www.swr3.de/aktuell/coronavirus/ct-wert-corona-test-infos-deutung-100.html#Bedeutung
[2] https://medicalxpress.com/news/2022-02-covid-human-reveals-insights-infection.html?utm_content=buffere5710&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[2] https://www1.wdr.de/nachrichten/themen/coronavirus/laumann-corona-maskenpflicht-herbst-100.html
[2] https://pnas.org/doi/full/10.1073/pnas.2014564118
[2] https://www.tagesschau.de:443/inland/gmk-corona-105.html
[1] https://www.zeit.de/gesundheit/2022-08/coronavirus-moderna-impfstoff-omikron-variante?utm_referrer=https%3A%2F%2Fl.instagram.com%2F
[1] https://buff.ly/3P1Qadr

Top Domains
Top Domains in Tweet in Entire Graph:
[652] worldometers.info
[472] blogspot.com
[277] newsdigest.jp
[136] cdc.gov
[110] or.jp
[104] co.uk
[97] reuters.com
[92] youtube.com
[86] twitter.com
[73] casaitaliaradio.com

Top Domains in Tweet in G1:
[40] or.jp
[31] twitter.com
[30] co.uk
[20] cdc.gov
[18] reuters.com
[11] com.br
[11] com.ar
[11] ourworldindata.org
[11] fij.info
[10] cinconoticias.com

Top Domains in Tweet in G2:
[607] worldometers.info

Top Domains in Tweet in G3:
[17] co.uk
[6] co.nz
[2] washingtonpost.com
[1] europeanscientist.com
[1] nytimes.com
[1] newscientist.com
[1] gov.au
[1] documentcloud.org
[1] vice.com
[1] eclinik.net

Top Domains in Tweet in G4:
[19] cdc.gov
[9] archive.org
[2] washingtonpost.com
[2] miamidade.gov
[2] nikkei.com
[2] co.jp

Top Domains in Tweet in G5:
[3] laiguana.tv
[2] social.la

Top Domains in Tweet in G6:
[1] co.uk
[1] archive.org
[1] cdc.gov
[1] ctvnews.ca

Top Domains in Tweet in G7:
[16] co.jp
[13] twitter.com
[6] rte.ie
[3] sky.com
[2] washingtonpost.com
[2] bloomberg.com
[2] trib.al
[2] apnews.com
[1] ksn.com
[1] wapo.st

Top Domains in Tweet in G8:
[8] cdc.gov
[3] slate.com
[1] traviscountytx.gov
[1] vaccines.gov

Top Domains in Tweet in G9:
[37] or.jp
[1] ac.jp

Top Domains in Tweet in G10:
[4] welt.de
[3] thedailybeast.com
[3] twitter.com
[3] wsj.com
[3] ladr.de
[3] wdr.de
[3] pnas.org
[3] swr3.de
[2] zeit.de
[2] medicalxpress.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1095] covid19
[980] coronavirus
[473] covid
[457] covid_19
[386] covidー19
[254] 新型コロナウイルス
[245] toquedequeda
[201] estadodealarma
[197] pfizer
[173] vaccine



Top Hashtags in Tweet in G1:
[142] coronavirus
[104] covid19
[24] covid
[13] corona
[12] covid_19
[8] health
[8] uk
[7] omicron
[7] china
[6] news

Top Hashtags in Tweet in G3:
[4] moderna
[2] darpa
[1] letnovakplay
[1] together
[1] ralphbaric
[1] ecohealthalliance
[1] vaccinatie
[1] covid19
[1] droogte
[1] oorlog

Top Hashtags in Tweet in G4:
[27] covid19
[12] nclgetaway
[12] cruiseline
[1] contacttracing
[1] ncl
[1] covidnews
[1] cruiselife
[1] coronavirus
[1] vaccines
[1] booster

Top Hashtags in Tweet in G5:
[150] prevención
[62] 16ago
[53] alerta
[53] ómicron
[26] 15ago
[12] covid_19
[12] 13ago
[8] covid19
[7] pensarcomopaís
[7] armygamesvzla2022

Top Hashtags in Tweet in G7:
[13] coronavirus
[10] update
[7] covid19
[3] covid
[2] sarscov2
[2] healthcare
[2] pandemic
[2] variant
[2] variants
[2] crisismanagement

Top Hashtags in Tweet in G8:
[6] covid19vaccines
[1] covid19
[1] 40kyourway

Top Hashtags in Tweet in G10:
[18] coronavirus
[10] covid19
[7] spikevax
[7] moderna
[7] maskenpflicht
[3] luftfilter
[3] ctwert
[2] massenimpfungen
[2] evolution
[2] booster

Top Words
Top Words in Tweet in Entire Graph:
[2115] coronavirus
[1512] covid
[1095] #covid19
[981] #coronavirus
[774] vaccine
[607] 아니
[607] 저기
[607] 간만에
[607] 찾아봤더니
[607] 우리

Top Words in Tweet in G1:
[405] coronavirus
[213] covid
[142] #coronavirus
[134] 19
[104] #covid19
[59] cases
[56] vaccine
[52] क
[38] 2022
[37] न

Top Words in Tweet in G2:
[607] 아니
[607] 저기
[607] 간만에
[607] 찾아봤더니
[607] 우리
[607] 나라
[607] 현재
[607] 코로나
[607] 발병률
[607] 세계

Top Words in Tweet in G3:
[318] mandates
[269] covid
[242] draseemmalhotra
[242] end
[241] data
[239] vaccine
[239] restore
[237] global
[219] trust
[215] raw

Top Words in Tweet in G4:
[271] cdcgov
[248] information
[246] website
[245] repthomasmassie
[245] quietly
[245] deleting
[245] misleading
[245] following
[245] statement
[245] removed

Top Words in Tweet in G5:
[212] coronavirus
[150] #prevención
[138] vtvcanal8
[125] total
[102] estas
[102] estadísticas
[102] generales
[84] delcyrodriguezv
[83] conoce
[83] principal

Top Words in Tweet in G6:
[178] covid
[176] end
[176] vaccine
[176] mandates
[176] raw
[176] trial
[176] data
[167] breaking
[167] experts
[167] call

Top Words in Tweet in G7:
[84] coronavirus
[52] booster
[47] vaccine
[46] adults
[35] targets
[34] washingtonpost
[34] omicron
[31] approved
[31] first
[30] become

Top Words in Tweet in G8:
[148] 40
[146] british
[146] medical
[146] journal
[146] published
[146] damning
[146] assessment
[146] trump
[146] impact
[146] americans

Top Words in Tweet in G9:
[170] masaru_kaneko
[85] ついに死者300人超え
[85] キシダメは死者を待つだけ
[85] 今日の感染者数は16万6205人
[85] 何より1日の死者数が307人と300人を超えた
[85] 累計で3万5725人
[85] キシダメは本当に何もしないので
[85] 2022年に入って1万7319人も亡くなっている
[84] 本
[48] ウィルスの自壊を待つだけ

Top Words in Tweet in G10:
[38] covid
[30] need
[28] world
[27] 19
[26] die
[24] comprehensive
[24] bipartisan
[24] investigation
[24] origin
[24] until

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[607] 아니,저기
[607] 저기,간만에
[607] 간만에,찾아봤더니
[607] 찾아봤더니,우리
[607] 우리,나라
[607] 나라,현재
[607] 현재,코로나
[607] 코로나,발병률
[607] 발병률,세계
[607] 세계,1위

Top Word Pairs in Tweet in G1:
[123] covid,19
[25] #covid19,#coronavirus
[19] #coronavirus,#covid19
[19] coronavirus,pandemic
[15] coronavirus,cases
[13] coronavirus,vaccine
[12] क,र
[12] र,न
[12] 新型コロナウイルス,都道府県別の感染者数
[12] 都道府県別の感染者数,感染者マップ

Top Word Pairs in Tweet in G2:
[607] 아니,저기
[607] 저기,간만에
[607] 간만에,찾아봤더니
[607] 찾아봤더니,우리
[607] 우리,나라
[607] 나라,현재
[607] 현재,코로나
[607] 코로나,발병률
[607] 발병률,세계
[607] 세계,1위

Top Word Pairs in Tweet in G3:
[237] covid,vaccine
[237] vaccine,mandates
[218] restore,trust
[215] trial,data
[214] trust,medicine
[212] end,global
[212] global,covid
[212] mandates,publish
[212] publish,raw
[212] raw,jab

Top Word Pairs in Tweet in G4:
[245] cdcgov,quietly
[245] quietly,deleting
[245] deleting,misleading
[245] misleading,information
[245] information,website
[245] website,following
[245] following,statement
[245] statement,removed
[244] repthomasmassie,cdcgov
[244] removed,thei

Top Word Pairs in Tweet in G5:
[138] vtvcanal8,#prevención
[102] estas,estadísticas
[102] estadísticas,generales
[83] #prevención,conoce
[83] conoce,principal
[83] principal,objetivo
[83] objetivo,plan
[83] plan,nacional
[83] nacional,vacunación
[83] vacunación,enfermedades

Top Word Pairs in Tweet in G6:
[176] covid,vaccine
[176] vaccine,mandates
[176] trial,data
[167] breaking,experts
[167] experts,call
[167] call,immediate
[167] immediate,end
[167] end,covid
[167] mandates,globally
[167] globally,access

Top Word Pairs in Tweet in G7:
[31] coronavirus,vaccine
[30] become,first
[25] britain,become
[25] first,country
[25] country,approve
[25] approve,coronavirus
[25] vaccine,booster
[25] booster,adults
[25] adults,targets
[25] targets,both

Top Word Pairs in Tweet in G8:
[146] british,medical
[146] medical,journal
[146] journal,published
[146] published,damning
[146] damning,assessment
[146] assessment,trump
[146] trump,impact
[146] impact,americans
[146] americans,health
[146] health,concluding

Top Word Pairs in Tweet in G9:
[85] ついに死者300人超え,キシダメは死者を待つだけ
[85] キシダメは死者を待つだけ,今日の感染者数は16万6205人
[85] 今日の感染者数は16万6205人,何より1日の死者数が307人と300人を超えた
[85] 何より1日の死者数が307人と300人を超えた,累計で3万5725人
[85] 累計で3万5725人,キシダメは本当に何もしないので
[85] キシダメは本当に何もしないので,2022年に入って1万7319人も亡くなっている
[84] masaru_kaneko,ついに死者300人超え
[84] 2022年に入って1万7319人も亡くなっている,本
[48] ウィルスの自壊を待つだけ,お盆なので正確には不明だが
[48] お盆なので正確には不明だが,今日の感染者数は13万8613人

Top Word Pairs in Tweet in G10:
[27] covid,19
[24] need,comprehensive
[24] comprehensive,bipartisan
[24] bipartisan,investigation
[24] investigation,origin
[24] origin,covid
[24] 19,until
[24] until,call
[24] call,world
[24] world,wide

Top Replied-To
Top Replied-To in Entire Graph:
@gop
@albomp
@marionkoopmans
@senadorhumberto
@karl_lauterbach
@brihasselmann
@paeistokyo
@medrxivpreprint
@mildanalyst
@snoopdoges

Top Replied-To in G3:
@warriorqueenthe
@draseemmalhotra
@vsalvatordali
@polibard
@gbdeclaration
@collignonpeter
@drjbhattacharya
@monarahalkar
@cd57227
@george_baker11

Top Replied-To in G4:
@drleanawen
@beachgurli
@rising_serpent

Top Replied-To in G5:
@melixam91

Top Replied-To in G7:
@firebidennow
@evans_edward
@jamiec1979
@mirandayaver
@vickie77900969
@flecka419
@suparna_singh
@fergalbowers
@torontostar

Top Replied-To in G10:
@karl_lauterbach
@brihasselmann
@literatur2022
@barakatluca
@bmg_bund
@nenacasc
@dokhollidays
@ateschnake
@reviewergolden
@kuhbar

Top Mentioned
Top Mentioned in Entire Graph:
@raison_dtr
@newsdigestweb
@cdcgov
@draseemmalhotra
@traselvalle_obc
@repthomasmassie
@jjaranaz94
@masaru_kaneko
@maryannedemasi
@patway1979

Top Mentioned in G1:
@antondepierro
@globaltechg
@informamolise
@smcadman
@eldiario_net
@changeworklife
@wrainbow_sky258
@jayi_wang
@cuerpo_mentey
@sperlock222

Top Mentioned in G2:
@raison_dtr

Top Mentioned in G3:
@draseemmalhotra
@fatemperor
@drjbhattacharya
@alanvibe
@msglynisbarber
@profkarolsikora
@jamesfwells
@expressgilo
@martinkulldorff
@thecoastguy

Top Mentioned in G4:
@cdcgov
@repthomasmassie
@cruisenorwegian
@sinnerthedj
@ckellyuap
@disclosetv
@vaccineflstate
@cdcmmwr
@rayarmat
@maryannedemasi

Top Mentioned in G5:
@vtvcanal8
@delcyrodriguezv
@gnb41_carabobo
@mippcivzla
@ciaapoyo_41
@gnb_tachira
@rcr750
@gnb_czbolivar
@alfred20224
@requesensg

Top Mentioned in G6:
@maryannedemasi
@draseemmalhotra
@lionadvocacy
@drjbhattacharya
@profkarolsikora
@expressgilo
@proftimnoakes
@osmanunsal58

Top Mentioned in G7:
@washingtonpost
@business
@skynews
@afp
@wsjp_insight
@rtenews
@nytimes
@ap
@allsleepingeye
@johnniewalkerd1

Top Mentioned in G8:
@patway1979
@auspublichealth
@cdcgov

Top Mentioned in G9:
@masaru_kaneko

Top Mentioned in G10:
@r_h_ebright
@karl_lauterbach
@thomas_wilckens
@bmg_bund
@_friedrichmerz
@erictopol
@dokhollidays
@uk_biobank
@nenacasc
@earlybird445

Top Tweeters
Top Tweeters in Entire Graph:
@elnacionalweb
@caraotadigital
@la_patilla
@ja8yum
@rojname_com
@el_cooperante
@contrapuntovzla
@rashidaldosari
@paoloigna1
@chidambara09

Top Tweeters in G1:
@elnacionalweb
@la_patilla
@rojname_com
@el_cooperante
@andyvermaut
@jacekwierzbicki
@mortgage_shop
@rejoiceamerica
@hagiwararyu11
@foggybottomgal

Top Tweeters in G2:
@a_riselovelive
@eoj250811
@kimck007
@aos_yelloshi
@jackissf
@1254asdfer
@minhy4201010
@saynomoreword
@13_0_0
@c_co1our

Top Tweeters in G3:
@daily_express
@demiurgotuiter
@idomain8
@dorunda
@seculartrainee
@davey56jones
@rigmatthew
@dianabardsley
@frankcoulson7
@cadiedorange172

Top Tweeters in G4:
@zardoz420wpn
@revengebunny
@arnoyuma
@deeenst
@crnchymama
@bloodavante
@parzival1
@kstuck93
@chasbottom
@xsjthomas007

Top Tweeters in G5:
@vtvcanal8
@luiscarrillo66
@joseramonrussia
@jguedez29
@mippcivzla
@gnb_tachira
@rcr750
@arlexlimongi
@giosiva
@suhailchl

Top Tweeters in G6:
@ivanajpavlovic
@loreign83
@johnaread
@tandoreo
@frankgrubio
@brendahulse
@jucanor
@barbaragoggin4
@lou05316597
@ivanaedu

Top Tweeters in G7:
@rashidaldosari
@orgetorix
@inquirerdotnet
@reuters
@business
@adekleine
@guardian
@slimchick1900
@irishtimes
@mpendaraha18

Top Tweeters in G8:
@kak089
@carrybeyond
@pas5974
@wrap02
@rhapsodynbloom
@jaquebelle
@sdbees1953
@gailborges
@cfitzbroadway
@realgigiwilson

Top Tweeters in G9:
@sippomagari
@aburadakos
@packraty
@4823_tanaka
@saitama1947mn
@kiq
@crusing21
@matsuko318
@5bkkytisdwi3inf
@solyase4423

Top Tweeters in G10:
@njdoc
@michael_kunz
@marie_laveau_
@mariasammutmasc
@ganjasmokercb
@1a31551c566e43d
@tagesschau
@exalteduterus
@airjibeer
@m_t_franz