NCoV, Twitter, 12/4/2022 9:49:10 PM, 285505


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NCoV_2022-12-04_02-28-27.xlsx
NCoV_2022-12-04_02-28-27.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 04, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3FnhNw2
@_2019_ncov
@admiralawesme29
@julienm__
@cdcgov
@cdcdirector
@thejikky
@backtolife_2023
@j0hn_nada
@alex_on_a14
@drkatepi

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#suicídio
#covid
#코로나19
#예방접종
#千葉県庁
#dyk
#longcovid

Description:
Description
The graph represents a network of 5,699 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 December 2022 at 10:38 UTC.

The requested start date was Sunday, 04 December 2022 at 01:01 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 5-day, 18-hour, 56-minute period from Saturday, 26 November 2022 at 17:30 UTC to Friday, 02 December 2022 at 12:26 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 : 5699
Unique Edges : 6218
Edges With Duplicates : 13986
Total Edges : 20204
Number of Edge Types : 5
Replies to : 3444
MentionsInRetweet : 6389
Mentions : 6066
Retweet : 3425
Tweet : 880
Self-Loops : 924
Reciprocated Vertex Pair Ratio : 0.0483938256153525
Reciprocated Edge Ratio : 0.0923199363310784
Connected Components : 561
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 2981
Maximum Edges in a Connected Component : 14713
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.588835
Graph Density : 0.000309550406058565
Modularity : 0.400905
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,699 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 December 2022 at 10:38 UTC.

The requested start date was Sunday, 04 December 2022 at 01:01 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 5-day, 18-hour, 56-minute period from Saturday, 26 November 2022 at 17:30 UTC to Friday, 02 December 2022 at 12:26 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 : 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:
[367] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[110] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[92] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[85] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[54] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[19] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[19] http://ncov.kdca.go.kr/

Top URLs in Tweet in G1:
[6] https://www.youtube.com/watch?v=mJC17IYkaQ8

[6] https://twitter.com/_2019_nCoV/status/1597877522695618561?s=20
[6] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

[4] https://www.youtube.com/watch?v=ZNAVdn2n7Ak

[3] https://threadreaderapp.com/thread/1597181399920160771.html
[3] https://www.sogelym-dixence.fr/fr/projet/academie-de-loms-lyon
[3] https://threadreaderapp.com/thread/1596523128876077056.html
[2] https://www.crashdebug.fr/la-porte-n-est-pas-fermee-reagissez
[2] https://twitter.com/_2019_nCoV/status/1597304879672090624?s=20
[2] https://twitter.com/mtwit75/status/1597604847968452608

Top URLs in Tweet in G2:
[4] https://twitter.com/Aliyah01150546/status/1597593782295400448?s=20&t=VxNN9SsfX1SKlRvbjy122Q
[2] https://start.lesechos.fr/societe/engagement-societal/doc-amine-medecin-hyperactif-et-influenceur-engage-1881949
[2] https://ifcncodeofprinciples.poynter.org/signatories
[2] https://fr.wikipedia.org/wiki/Poynter_Institute
[2] https://twitter.com/france_soir/status/1598038396043083776
[2] https://twitter.com/StatChrisCotton/status/1598398931381223440
[2] https://twitter.com/v_joron/status/1598346192915554304
[1] https://www.youtube.com/watch?v=43Y4Kfv7AA0&feature=youtu.be

[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/gayets/status/1594010546399236096

Top URLs in Tweet in G3:
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-correctional-settings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#recommendations
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html
[2] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/why-vaccinate-children-teens.html

Top URLs in Tweet in G4:
[3] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1593538
[2] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1456563
[2] https://stevekirsch.substack.com/p/this-one-graph-tells-you-everything?utm_source=substack&utm_medium=email
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1745766
[1] https://twitter.com/tagrevista_/status/1594019455176163328
[1] https://www.cmaj.ca/content/194/45/E1529

Top URLs in Tweet in G5:
[108] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[89] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[49] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[18] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[15] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[7] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/57kai-sijijikou.pdf
[7] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10745-cepr-topics.html
[7] https://www.niid.go.jp/niid/images/cepr/covid-19/20221125_dominant_variant.pdf
[7] https://www.catapoke.com/viewer/?open=62b3f
[6] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=

Top URLs in Tweet in G6:
[6] https://c11.kr/joao
[6] https://ncv.kdca.go.kr/ncov/
[6] https://ncov.kdca.go.kr/
[6] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://ncov.se
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html

Top URLs in Tweet in G7:
[1] https://twitter.com/a_meluzzi/status/1597224684785119235
[1] https://twitter.com/VictorDjamba/status/1598163885936476161
[1] https://twitter.com/a_meluzzi/status/1598217058587914240
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://fortune.com/2022/10/06/strokes-heart-attacks-sudden-death-america-long-term-risks-catching-covid-carolyn-barber/
[1] https://www.youtube.com/watch?v=CUhjZ-ELZn4&feature=youtu.be

[1] https://www.youtube.com/watch?v=53PoTbZ6y3Y&feature=youtu.be

[1] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

[1] https://twitter.com/Log_Yves/status/1595876074453610496

Top URLs in Tweet in G8:
[3] https://nextstrain.org/ncov/gisaid/global/6m
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-2032952
[1] https://www.mdpi.com/1660-4601/19/18/11470
[1] https://twitter.com/WallStreetSilv/status/1597834732209045505
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-Annex-2021.1
[1] https://apps.who.int/iris/bitstream/handle/10665/331713/WHO-2019-nCoV-Sci_Brief-POC_immunodiagnostics-2020.1-eng.pdf?sequence=1&isAllowed=y
[1] https://pubmed.ncbi.nlm.nih.gov/34819146/
[1] https://pubmed.ncbi.nlm.nih.gov/34751429/
[1] https://pubmed.ncbi.nlm.nih.gov/34710832/

Top URLs in Tweet in G9:
[6] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G10:
[347] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[7] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/221201_teireikaiken.html

Top Domains
Top Domains in Tweet in Entire Graph:
[710] cdc.gov
[402] ibaraki.jp
[250] lg.jp
[207] twitter.com
[145] go.jp
[82] recombinomics.co
[47] go.kr
[41] youtube.com
[37] bvsalud.org
[37] substack.com

Top Domains in Tweet in G1:
[120] twitter.com
[30] youtube.com
[13] threadreaderapp.com
[4] pgibertie.com
[4] odysee.com
[4] rolandsimion.org
[4] europa.eu
[4] cdc.gov
[3] crowdbunker.com
[3] sogelym-dixence.fr

Top Domains in Tweet in G2:
[38] twitter.com
[4] youtube.com
[4] cdc.gov
[3] wikipedia.org
[2] lesechos.fr
[2] poynter.org
[2] senat.fr
[2] bonsens.info
[1] lequotidiendumedecin.fr
[1] anguillesousroche.com

Top Domains in Tweet in G3:
[66] cdc.gov
[3] archive.org
[2] bit.ly
[1] who.int
[1] gob.es
[1] hopkinsmedicine.org
[1] science.org
[1] usatoday.com
[1] jhu.edu

Top Domains in Tweet in G4:
[6] bvsalud.org
[2] substack.com
[1] twitter.com
[1] cmaj.ca

Top Domains in Tweet in G5:
[230] lg.jp
[65] go.jp
[19] cdc.gov
[15] ibaraki.jp
[7] catapoke.com
[6] go.kr
[4] tokyo.jp
[1] twitter.com
[1] m-meiwakai.jp

Top Domains in Tweet in G6:
[106] cdc.gov
[81] recombinomics.co
[22] substack.com
[18] ibaraki.jp
[16] go.jp
[13] go.kr
[12] co.jp
[11] bvsalud.org
[9] twitter.com
[7] lg.jp

Top Domains in Tweet in G7:
[4] twitter.com
[3] youtube.com
[1] cdc.gov
[1] fortune.com

Top Domains in Tweet in G8:
[4] cdc.gov
[3] bvsalud.org
[3] nextstrain.org
[3] nih.gov
[2] who.int
[1] mdpi.com
[1] twitter.com
[1] cochrane.org
[1] doctorevidence.com

Top Domains in Tweet in G9:
[6] minsal.cl

Top Domains in Tweet in G10:
[359] ibaraki.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[362] 新型コロナウイルス感染症情報
[277] covid_19
[176] covid19
[131] suicídio
[87] covid
[22] 코로나19
[22] 예방접종
[16] 千葉県庁
[14] dyk
[13] longcovid



Top Hashtags in Tweet in G1:
[18] covid_19
[10] ftx
[9] macron
[8] pfizer
[7] covid
[6] twitter
[5] hidalgo
[4] mckinsey
[4] h1n1
[4] vpn

Top Hashtags in Tweet in G2:
[2] justicepourlessuspendus
[2] moderna
[2] mafia
[1] macron
[1] breton
[1] gouvernementdelahonte
[1] leurparolenevautrien
[1] nemesismedicale
[1] en
[1] vacuite

Top Hashtags in Tweet in G3:
[91] covid19
[69] covid
[3] vaccines
[3] denver
[2] dyk
[2] coronavirus
[2] heat
[2] summer
[2] healthiernj
[1] wecandothis

Top Hashtags in Tweet in G4:
[131] suicídio
[1] vacinas

Top Hashtags in Tweet in G5:
[16] 千葉県庁
[15] 新型コロナウイルス感染症情報
[7] 広島県
[7] 新型コロナ
[7] 北広島町

Top Hashtags in Tweet in G6:
[20] covid19
[10] covid
[6] coronavirus
[6] 의정부시청
[6] 안전안내문자
[6] 재난문자
[4] cdc
[3] vaccine
[2] コロナ
[2] sarscov2

Top Hashtags in Tweet in G7:
[1] ohlavache

Top Hashtags in Tweet in G8:
[3] ensayoclínico
[3] carvacrol
[3] thymusvulgaris
[1] coronavirus
[1] wuhan
[1] china
[1] deinteres
[1] protocolos
[1] resultados
[1] ensayosclínicos

Top Hashtags in Tweet in G9:
[259] covid_19

Top Hashtags in Tweet in G10:
[347] 新型コロナウイルス感染症情報
[2] 新型コロナウイルス

Top Words
Top Words in Tweet in Entire Graph:
[2758] _2019_ncov
[971] covid
[617] 19
[558] co
[532] c'est
[520] casos
[496] ce
[366] 本日の新規陽性者数
[366] 現在の入院者数
[364] 本日の死亡者

Top Words in Tweet in G1:
[1749] _2019_ncov
[378] c'est
[360] ce
[260] ils
[221] plus
[207] mais
[204] ça
[179] elonmusk
[171] par
[162] fait

Top Words in Tweet in G2:
[437] _2019_ncov
[136] verity_france
[113] julienm__
[91] assocovid
[81] banounhelene
[76] paulavd2201
[76] yvespdb
[75] marc_doyer
[74] _samedi_
[73] benali89790792

Top Words in Tweet in G3:
[290] cdcgov
[241] covid
[170] alexander_tin
[148] congregate
[145] settings
[140] guidance
[127] swatch
[127] published
[127] changes
[127] revisions

Top Words in Tweet in G4:
[321] mpatriabrasil
[212] oms
[208] estudos
[193] já
[135] científicas
[134] vacina
[133] relacionando
[132] ideação
[132] suicida
[131] outras

Top Words in Tweet in G5:
[147] co
[121] hiroshima_pref
[108] の広島県内の感染状況
[108] 19
[108] languages
[108] information
[108] 本日
[108] covid
[108] 本日の感染者はコチラ
[108] multiple

Top Words in Tweet in G6:
[171] covid
[138] ncov
[100] 2019
[98] 19
[90] cases
[89] deaths
[83] increase
[81] recombinomics
[81] inc
[36] 11

Top Words in Tweet in G7:
[115] louan07
[82] _2019_ncov
[77] cette
[71] lechypre
[71] youtube
[71] nettoyé
[71] été
[70] intervention
[70] d'emmanuel
[70] n'hésitez

Top Words in Tweet in G8:
[105] vaccine
[103] drkatepi
[101] thrombocytopenia
[101] cases
[101] 1m
[101] tts
[101] thrombosis
[101] rare
[101] syndrome
[101] occurred

Top Words in Tweet in G9:
[518] casos
[259] fallecidos
[259] activos
[259] nuevos
[259] registrados
[259] #covid_19
[259] informe
[259] diario
[253] ministeriosalud
[209] noviembre

Top Words in Tweet in G10:
[356] co
[349] 現在の入院者数
[349] 本日の新規陽性者数
[347] 本日の死亡者
[347] うち重症者
[347] #新型コロナウイルス感染症情報
[340] ibaraki_kouhou
[290] 詳細
[290] 検査前で症状がある方
[228] qnzux8c1z3

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[525] covid,19
[354] ibaraki_kouhou,#新型コロナウイルス感染症情報
[305] 詳細,co
[259] informe,diario
[259] diario,#covid_19
[259] casos,nuevos
[259] fallecidos,registrados
[259] casos,activos
[253] ministeriosalud,informe
[238] co,qnzux8c1z3

Top Word Pairs in Tweet in G1:
[131] elonmusk,financialtimes
[112] _2019_ncov,elonmusk
[107] _2019_ncov,c'est
[75] c'est,ce
[68] juvin,là
[68] fandemarlene,_2019_ncov
[68] ce,juvin
[67] ah,ah
[62] ils,ont
[51] acermendax,xazalbert

Top Word Pairs in Tweet in G2:
[73] assocovid,marc_doyer
[73] _samedi_,assocovid
[71] sarahreyou,_samedi_
[70] benali89790792,paulavd2201
[70] paulavd2201,fp_ribella
[61] fp_ribella,giustin52584244
[59] giustin52584244,sarahreyou
[58] _2019_ncov,verity_france
[54] marc_doyer,alphanumerique1
[49] nouveau,vaccin

Top Word Pairs in Tweet in G3:
[146] alexander_tin,cdcgov
[143] congregate,settings
[127] cdcgov,published
[127] settings,changes
[127] covid,guidance
[127] revisions,covid
[127] swatch,revisions
[127] guidance,congregate
[127] published,swatch
[105] covid,19

Top Word Pairs in Tweet in G4:
[204] mpatriabrasil,oms
[132] estudos,relacionando
[132] ideação,suicida
[131] oms,outras
[131] suicida,tentativa
[131] científicas,publicaram
[131] outras,revistas
[131] publicaram,estudos
[131] #suicídio,vacina
[131] relacionando,ideação

Top Word Pairs in Tweet in G5:
[108] 本日の感染者はコチラ,co
[108] covid,19
[108] multiple,languages
[108] languages,covid
[108] information,multiple
[108] の広島県内の感染状況,本日の感染者はコチラ
[101] hiroshima_pref,本日
[86] の新型コロナウイルス感染症の情報,新規感染者数
[76] 本日,11
[72] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります

Top Word Pairs in Tweet in G6:
[93] 2019,ncov
[81] cases,increase
[81] recombinomics,inc
[81] ncov,recombinomics
[80] covid,cases
[65] covid,19
[22] chadox1,ncov
[22] ncov,19
[18] 2022,11
[15] sars,cov

Top Word Pairs in Tweet in G7:
[71] louan07,cette
[70] été,nettoyé
[70] datant,juin
[70] nettoyé,plateforme
[70] intervention,d'emmanuel
[70] juin,2021
[70] 2021,été
[70] plateforme,youtube
[70] d'emmanuel,lechypre
[70] youtube,n'hésitez

Top Word Pairs in Tweet in G8:
[101] thrombocytopenia,syndrome
[101] rare,occurred
[101] syndrome,tts
[101] vaccine,rare
[101] cases,1m
[101] thrombosis,thrombocytopenia
[101] 1m,doses
[101] occurred,cases
[101] tts,vaccine
[100] drkatepi,thrombosis

Top Word Pairs in Tweet in G9:
[259] diario,#covid_19
[259] informe,diario
[259] casos,activos
[259] fallecidos,registrados
[259] casos,nuevos
[253] ministeriosalud,informe
[156] registrados,62
[57] 28,noviembre
[57] #covid_19,28
[57] nuevos,11

Top Word Pairs in Tweet in G10:
[339] ibaraki_kouhou,#新型コロナウイルス感染症情報
[290] 詳細,co
[228] co,qnzux8c1z3
[185] 6名,詳細
[185] 本日の死亡者,6名
[171] qnzux8c1z3,検査前で症状がある方
[126] うち重症者,10名
[126] 10名,本日の死亡者
[123] 検査前で症状がある方,検査
[119] co,qnzux8t4b3

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@mbobmorriss
@canardmagic
@6_genre
@noah19612460
@louan07
@tweettaravista
@donq_17
@chomenterprise
@baddackus

Top Replied-To in G1:
@_2019_ncov
@6_genre
@noah19612460
@tweettaravista
@mbobmorriss
@chomenterprise
@bfmtv
@mec2later
@kalagan974
@takeheight

Top Replied-To in G2:
@_2019_ncov
@6_genre
@jeanyvescapo
@julienm__
@secretwar_
@55bellechasse
@alainsebil
@ludovicodiot
@mbobmorriss
@log_yves

Top Replied-To in G3:
@cdcgov
@xynthee
@gringotuanis
@leoncepontillie

Top Replied-To in G7:
@_2019_ncov
@louan07
@zyrs10
@andredejong5
@_wyh530
@mropi90601447

Top Replied-To in G8:
@drkatepi
@wallstreetsilv
@dozzle101
@tseals13
@pinkrubberduck0
@danielh45910759
@lauramiers
@regibrittain

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@mpatriabrasil
@cdcgov
@ministeriosalud
@verity_france
@elonmusk
@alexander_tin
@julienm__
@financialtimes

Top Mentioned in G1:
@_2019_ncov
@elonmusk
@financialtimes
@fandemarlene
@acermendax
@xazalbert
@emmanuelmacron
@bfmtv
@verity_france
@morad_tth

Top Mentioned in G2:
@_2019_ncov
@verity_france
@julienm__
@assocovid
@banounhelene
@yvespdb
@paulavd2201
@marc_doyer
@_samedi_
@fp_ribella

Top Mentioned in G3:
@cdcgov
@alexander_tin
@cdcespanol
@auspublichealth
@hhsgov
@nihceal
@pavlovwarnedus
@repthomasmassie
@medicaregov
@ddphe

Top Mentioned in G4:
@mpatriabrasil

Top Mentioned in G5:
@hiroshima_pref
@chibaken_kouhou
@trctzigane
@c45425
@drhiromi
@ibaraki_kouhou
@koheikana
@triangle24
@ygd862
@ooaminavi

Top Mentioned in G6:
@drml350phd
@pifermu
@paularitchie3
@fr_hossain
@mamatoronto
@readyla
@siz_hala
@dr_moonty

Top Mentioned in G7:
@louan07
@_2019_ncov
@verity_france
@zyrs10
@narashi13876794
@r
@rasekrasek
@jaimehorta17
@philippelecat22
@llp_le_vrai

Top Mentioned in G8:
@drkatepi
@who
@dracevedod
@lauramiers
@carvativir
@autonomadechile
@ciencias_chile
@cpita3
@longcovidnews
@maryhalton

Top Mentioned in G9:
@ministeriosalud

Top Mentioned in G10:
@ibaraki_kouhou

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@matiere
@rodolfoxoliz
@m2bliquis
@sippomagari
@britpoptarts
@lizditz
@ginniasa
@61k61z61k61z
@vonrosenchild

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@lagrosta
@reuters
@thalassa2008
@bo_chart
@bfmtv
@lau68951920
@talullabellefle
@unrollhelper

Top Tweeters in G2:
@m2bliquis
@le_figaro
@yvespdb
@diabolo741
@delalande72
@ninasouky70
@rosesouslapluie
@evelyneyant94
@grobisr
@anabellatibo

Top Tweeters in G3:
@vonrosenchild
@adekleine
@eilonwy24
@tyberzannxxxx
@amazingchevvolt
@pppatticake
@smlnewswsasia
@planetscape
@hiro_thekid
@monitor_ph

Top Tweeters in G4:
@anousca65
@izaquends
@ayurvedapoa
@adriana_foltran
@ronivilar
@sardinha_rose
@alexchina_0_
@fabianammendes
@luizrboaventura
@11setembro

Top Tweeters in G5:
@otakutokkai
@k_wakita
@qbk_jitensya
@keiki22
@tawarayasotatsu
@marukocorop2
@turututukotokot
@20miglia
@sakiku_bpts
@romaspqr

Top Tweeters in G6:
@matiere
@personalfitnes3
@paularitchie3
@gate_15_analyst
@dopaminergic13
@carline15973938
@kimkarlocastro
@thefirstindia
@sfdb
@elinsilveous

Top Tweeters in G7:
@josmirek
@rtlfrance
@philvelissariou
@pmbavenir53
@moussya
@bricolix
@rasekrasek
@laroma18
@kavuncuromain
@spes78038010

Top Tweeters in G8:
@britpoptarts
@amyayers16
@cblazblaz
@sexygirl798
@llama_strudel
@joanpennnative
@cynicalvision50
@dunnclan
@urocklive1
@npazderski

Top Tweeters in G9:
@rodolfoxoliz
@ginniasa
@fabiparraguezm
@dragontauro
@infozeus
@dmvecinal
@ppitune
@gonzaloxrojas
@mgarcia318
@negravillana

Top Tweeters in G10:
@mutoh_z
@tsuka_kazunee
@sgr_kn
@dummyxtweet
@barserga
@beer_prius
@contaxndigital
@hiroyuki_yajima
@yamano__88
@pandasasanosuke


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