NCoV, Twitter, 12/1/2022 11:47:33 AM, 285270


FAQ | Problem?

NCoV_2022-12-01_03-28-17.xlsx
NCoV_2022-12-01_03-28-17.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 01, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3ioRo82
@_2019_ncov
@backtolife_2023
@j0hn_nada
@alex_on_a14
@doritmi
@julienm__
@drkatepi
@scary7dr
@emkabmart
@liz_wheeler

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

Description:
Description
The graph represents a network of 5,812 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 Thursday, 01 December 2022 at 11:39 UTC.

The requested start date was Thursday, 01 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 6-day, 15-hour, 48-minute period from Wednesday, 23 November 2022 at 20:35 UTC to Wednesday, 30 November 2022 at 12:24 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 : 5812
Unique Edges : 7121
Edges With Duplicates : 14350
Total Edges : 21471
Number of Edge Types : 5
Retweet : 3610
MentionsInRetweet : 7358
Replies to : 3348
Mentions : 6332
Tweet : 823
Self-Loops : 882
Reciprocated Vertex Pair Ratio : 0.0448422044276967
Reciprocated Edge Ratio : 0.0858353620052295
Connected Components : 532
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 3001
Maximum Edges in a Connected Component : 15350
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.074092
Graph Density : 0.000328393251851776
Modularity : 0.408342
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,812 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 Thursday, 01 December 2022 at 11:39 UTC.

The requested start date was Thursday, 01 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 6-day, 15-hour, 48-minute period from Wednesday, 23 November 2022 at 20:35 UTC to Wednesday, 30 November 2022 at 12:24 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:
[439] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[141] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[95] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[59] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[37] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[20] http://ncov.kdca.go.kr/
[20] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html

Top URLs in Tweet in G1:
[7] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

[4] https://brigittebouzonnie.substack.com/p/crash-du-boeing-777-avec-108-virologues
[3] https://www.youtube.com/watch?v=mJC17IYkaQ8

[3] https://threadreaderapp.com/thread/1596523128876077056.html
[3] https://twitter.com/Krieger66362259/status/1590993719607455744
[3] https://twitter.com/djaonbea/status/1561384925340860416?s=12&t=OJiCU0cJFNVZzCLwuclTHw
[2] https://twitter.com/_2019_nCoV/status/1595518730611707904?s=20
[2] https://twitter.com/_2019_nCoV/status/1597304879672090624?s=20
[2] https://twitter.com/mtwit75/status/1597604847968452608
[2] https://twitter.com/_2019_nCoV/status/1597877522695618561?s=20

Top URLs in Tweet in G2:
[4] https://twitter.com/Aliyah01150546/status/1597593782295400448?s=20&t=VxNN9SsfX1SKlRvbjy122Q
[3] https://twitter.com/Log_Yves/status/1595876074453610496
[2] https://ifcncodeofprinciples.poynter.org/signatories
[2] https://fr.wikipedia.org/wiki/Poynter_Institute
[2] https://threadreaderapp.com/thread/1596064708565602306.html
[2] https://twitter.com/Neruda57/status/1595692638589669376?t=ZC9BZ4wIVyAwDbW0XACCKg&s=19
[1] https://twitter.com/p_duval/status/1574469445904482305?s=20&t=CvWCb9UMjkCvAFrmH-vDww
[1] https://twitter.com/IDethiopia/status/1595689085431156739
[1] https://www.cdc.gov/mmwr/volumes/71/wr/pdfs/mm7134a3-H.pdf
[1] https://twitter.com/6_genre/following

Top URLs in Tweet in G3:
[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-1534834
[1] https://www.coletividade-evolutiva.com.br/2022/04/estudo-confirma-que-vacina-covid-causa-hepatite-autoimune-grave.html?m=1
[1] https://www.sciencedirect.com/science/article/pii/S0168827822002343
[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 G4:
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/primary-cause.html
[3] https://www.sogelym-dixence.fr/fr/projet/academie-de-loms-lyon
[1] https://www.youtube.com/watch?v=XkOYGrZQqmU&feature=youtu.be

[1] https://twitter.com/a_meluzzi/status/1597224684785119235
[1] https://www.youtube.com/watch?v=W9GnfTAUiFM&feature=youtu.be

[1] https://threadreaderapp.com/thread/1597181399920160771.html
[1] https://twitter.com/pam33771/status/1597642643965616128?s=20&t=QZb9uleAJFo2mylxWz_eYA
[1] https://twitter.com/gayets/status/1594010546399236096
[1] https://www.europe-israel.org/2022/11/nouveau-scandale-une-commission-officielle-revele-que-lensemble-des-chiffres-diffuses-par-le-gouvernement-macron-sur-les-hospitalisations-et-deces-durant-la-periode-covid19-etaient-bidonnes-car/
[1] https://twitter.com/FarCovid/status/1597568581654392832

Top URLs in Tweet in G5:
[7] https://ncov.kdca.go.kr/
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://c11.kr/joao
[6] https://ncv.kdca.go.kr/ncov/
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://ncov.se
[5] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G6:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-correctional-settings.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-FAQ-Pregnancy-Vaccines-2022.1
[1] https://web.archive.org/web/20221128023554/https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-shelters/unsheltered-homelessness.html#:~:text=Closing%20encampments%20can,public%20health%20partners
[1] https://web.archive.org/web/20220922075829/https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-shelters/plan-prepare-respond.html#:~:text=Regardless%20of%20COVID%2D19%20vaccination%20status%2C%20all%20clients%2C%20staff%2C%20and%20volunteers%20should%20continue%20wearing%20well%2Dfitting%20masks%20or%20respirators%C2%A0and%20maintain%20physical%20distance%20in%20shelters
[1] https://web.archive.org/web/20221110050548/https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/indicators-monitoring-community-levels.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html?fbclid=IwAR0lWcuynClwCRbU7-b-
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G7:
[424] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[10] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html

Top URLs in Tweet in G8:
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html?s_cid=11761:ingredients%20in%20covid%20vaccine:sem.ga:p:RG:GM:gen:PTN:FY22
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html

Top URLs in Tweet in G9:
[140] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[92] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[18] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[18] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[8] https://www.catapoke.com/viewer/?open=62b3f
[8] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[6] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[4] https://www.town.kitahiroshima.lg.jp/site/2019-ncov/32086.html

Top URLs in Tweet in G10:
[7] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/#.Y3_O99n13W0.twitter

Top Domains
Top Domains in Tweet in Entire Graph:
[651] cdc.gov
[468] ibaraki.jp
[296] lg.jp
[197] twitter.com
[106] go.jp
[82] recombinomics.co
[59] go.kr
[45] youtube.com
[42] gob.es
[41] who.int

Top Domains in Tweet in G1:
[110] twitter.com
[22] youtube.com
[12] threadreaderapp.com
[5] odysee.com
[5] substack.com
[3] pgibertie.com
[3] bonsens.info
[3] europa.eu
[3] crowdbunker.com
[2] lemediaen442.fr

Top Domains in Tweet in G2:
[29] twitter.com
[6] youtube.com
[4] cdc.gov
[3] poynter.org
[3] wikipedia.org
[3] weforum.org
[3] europa.eu
[2] threadreaderapp.com
[2] eui.eu
[1] vidal.fr

Top Domains in Tweet in G3:
[7] bvsalud.org
[2] substack.com
[1] com.br
[1] sciencedirect.com
[1] twitter.com
[1] cmaj.ca

Top Domains in Tweet in G4:
[6] twitter.com
[6] cdc.gov
[3] sogelym-dixence.fr
[2] youtube.com
[1] threadreaderapp.com
[1] europe-israel.org
[1] blogspot.com
[1] who.int

Top Domains in Tweet in G5:
[86] cdc.gov
[82] recombinomics.co
[25] go.jp
[21] substack.com
[19] ibaraki.jp
[17] go.kr
[11] co.jp
[9] bvsalud.org
[7] lg.jp
[6] twitter.com

Top Domains in Tweet in G6:
[38] cdc.gov
[3] archive.org
[3] who.int
[2] bit.ly
[1] gob.es
[1] hopkinsmedicine.org
[1] science.org
[1] usatoday.com
[1] jhu.edu

Top Domains in Tweet in G7:
[439] ibaraki.jp

Top Domains in Tweet in G8:
[16] cdc.gov

Top Domains in Tweet in G9:
[269] lg.jp
[18] cdc.gov
[9] ibaraki.jp
[8] catapoke.com
[8] go.kr
[1] twitter.com
[1] m-meiwakai.jp

Top Domains in Tweet in G10:
[8] minsal.cl

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[433] 新型コロナウイルス感染症情報
[266] covid_19
[189] covid19
[127] suicídio
[29] dyk
[24] billgates
[24] billmelindagates
[21] 코로나19
[21] 예방접종
[17] 千葉県庁



Top Hashtags in Tweet in G1:
[13] macron
[7] covid_19
[7] twitter
[6] ftx
[6] pfizer
[5] mckinsey
[5] hidalgo
[4] lgbtq
[4] covid
[4] lrem

Top Hashtags in Tweet in G2:
[2] mafia
[2] billgates
[2] billmelindagates
[1] duval2027
[1] noussachons
[1] en
[1] vacuite
[1] nemesismedicale
[1] elasomeran
[1] moderna

Top Hashtags in Tweet in G3:
[127] suicídio
[2] hepatite
[1] vacinas

Top Hashtags in Tweet in G4:
[2] justicepourlessuspendus
[1] onoubliepas
[1] covid19
[1] justicepourlessupendus
[1] effetssecondairesvaccins19
[1] moderna
[1] gouvernementdelahonte
[1] leurparolenevautrien

Top Hashtags in Tweet in G5:
[20] covid19
[7] covid
[6] coronavirus
[6] 의정부시청
[6] 안전안내문자
[6] 재난문자
[4] cdc
[3] 공공데이터
[3] medicaldata
[3] publicdata

Top Hashtags in Tweet in G6:
[101] covid19
[5] holidaytravel
[3] denver
[2] dyk
[2] coronavirus
[1] wecandothis
[1] stopthespread
[1] covid19communitylevel
[1] publichealth
[1] cdc

Top Hashtags in Tweet in G7:
[424] 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 Hashtags in Tweet in G9:
[17] 千葉県庁
[9] 新型コロナウイルス感染症情報
[8] 広島県
[8] 新型コロナ
[7] 北広島町

Top Hashtags in Tweet in G10:
[259] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[2923] _2019_ncov
[818] covid
[668] co
[537] ce
[524] c'est
[522] 19
[519] casos
[436] 現在の入院者数
[436] 本日の新規陽性者数
[434] 検査前で症状がある方

Top Words in Tweet in G1:
[2006] _2019_ncov
[412] c'est
[404] ce
[227] ça
[210] ils
[203] plus
[182] là
[168] mais
[149] par
[148] sont

Top Words in Tweet in G2:
[401] _2019_ncov
[147] idrissaberkane
[145] banounhelene
[140] alainsebil
[139] robertkennedyjr
[139] gaelianprincess
[139] crashdebug_fr
[139] cristianterhes
[139] julienm__
[138] caudehenrion

Top Words in Tweet in G3:
[313] mpatriabrasil
[206] oms
[201] estudos
[189] já
[132] vacina
[130] científicas
[129] relacionando
[128] ideação
[128] suicida
[127] outras

Top Words in Tweet in G4:
[185] _2019_ncov
[61] louan07
[59] _samedi_
[57] marc_doyer
[56] paulavd2201
[53] benali89790792
[53] assocovid
[53] giustin52584244
[53] fp_ribella
[52] sarahreyou

Top Words in Tweet in G5:
[166] covid
[119] ncov
[97] 2019
[87] cases
[86] 19
[86] deaths
[82] increase
[82] inc
[82] recombinomics
[38] 11

Top Words in Tweet in G6:
[163] cdcgov
[101] #covid19
[89] covid
[73] alexander_tin
[70] congregate
[70] settings
[70] booster
[68] guidance
[66] updated
[62] swatch

Top Words in Tweet in G7:
[436] co
[426] 現在の入院者数
[426] 本日の新規陽性者数
[424] 詳細
[424] 本日の死亡者
[424] 検査前で症状がある方
[424] うち重症者
[424] #新型コロナウイルス感染症情報
[415] ibaraki_kouhou
[259] qnzux8c1z3

Top Words in Tweet in G8:
[11] covid
[10] cdc
[9] cases
[9] doses
[6] mil
[6] alex_on_a14
[6] virus
[6] time
[5] use
[5] one

Top Words in Tweet in G9:
[174] co
[150] hiroshima_pref
[140] 本日
[140] multiple
[140] の広島県内の感染状況
[140] covid
[140] languages
[140] information
[140] 本日の感染者はコチラ
[140] 11

Top Words in Tweet in G10:
[518] casos
[259] fallecidos
[259] registrados
[259] diario
[259] #covid_19
[259] activos
[259] nuevos
[259] informe
[259] noviembre
[253] ministeriosalud

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[434] 詳細,co
[423] ibaraki_kouhou,#新型コロナウイルス感染症情報
[421] covid,19
[264] qnzux8c1z3,検査前で症状がある方
[264] co,qnzux8c1z3
[259] informe,diario
[259] casos,activos
[259] diario,#covid_19
[259] casos,nuevos
[259] fallecidos,registrados

Top Word Pairs in Tweet in G1:
[159] _2019_ncov,c'est
[126] c'est,ce
[118] fandemarlene,_2019_ncov
[113] juvin,là
[113] ce,juvin
[59] ils,ont
[56] ah,ah
[41] aureleretouriii,_2019_ncov
[37] _2019_ncov,verity_france
[35] ils,sont

Top Word Pairs in Tweet in G2:
[139] robertkennedyjr,cristianterhes
[137] tuckercarlson,robertkennedyjr
[136] caudehenrion,crashdebug_fr
[134] alainsebil,caudehenrion
[121] sitting_bull_d,alainsebil
[118] crashdebug_fr,tuckercarlson
[116] cristianterhes,solobucketpo
[102] gaelianprincess,sitting_bull_d
[91] andrebercoff,philippemurer
[91] philippemurer,banounhelene

Top Word Pairs in Tweet in G3:
[197] mpatriabrasil,oms
[128] estudos,relacionando
[128] ideação,suicida
[127] oms,outras
[127] suicida,tentativa
[127] científicas,publicaram
[127] outras,revistas
[127] publicaram,estudos
[127] #suicídio,vacina
[127] relacionando,ideação

Top Word Pairs in Tweet in G4:
[53] assocovid,marc_doyer
[53] _samedi_,assocovid
[51] sarahreyou,_samedi_
[50] paulavd2201,fp_ribella
[50] benali89790792,paulavd2201
[43] fp_ribella,giustin52584244
[41] giustin52584244,sarahreyou
[41] marc_doyer,alphanumerique1
[33] zyrs10,_2019_ncov
[33] secretwar_,benali89790792

Top Word Pairs in Tweet in G5:
[93] 2019,ncov
[82] cases,increase
[82] recombinomics,inc
[82] ncov,recombinomics
[81] covid,cases
[63] covid,19
[22] 2022,11
[14] learn,more
[14] 국내,발생
[13] micro,clotting

Top Word Pairs in Tweet in G6:
[69] congregate,settings
[67] alexander_tin,cdcgov
[62] swatch,revisions
[62] revisions,covid
[62] cdcgov,published
[62] published,swatch
[62] settings,changes
[62] covid,guidance
[62] guidance,congregate
[61] updated,bivalent

Top Word Pairs in Tweet in G7:
[424] 詳細,co
[414] ibaraki_kouhou,#新型コロナウイルス感染症情報
[259] qnzux8c1z3,検査前で症状がある方
[259] co,qnzux8c1z3
[246] 10名,本日の死亡者
[246] うち重症者,10名
[241] 検査前で症状がある方,検査
[233] 6名,詳細
[233] 本日の死亡者,6名
[173] 検査前で症状がある方,検査で

Top Word Pairs in Tweet in G8:
[5] mil,doses
[5] allergic,reactions
[5] cases,allergic
[4] zombiejohngotti,backtolife_2023
[4] cdc,use
[4] 2019,ncov
[4] backtolife_2023,dgamered
[3] jkelleyk,jtmayes3
[3] alex_on_a14,t_n_t___
[3] test,developed

Top Word Pairs in Tweet in G9:
[140] 本日の感染者はコチラ,co
[140] covid,19
[140] multiple,languages
[140] languages,covid
[140] 本日,11
[140] information,multiple
[140] の広島県内の感染状況,本日の感染者はコチラ
[132] hiroshima_pref,本日
[105] の新型コロナウイルス感染症の情報,新規感染者数
[103] aynlaejjmp,information

Top Word Pairs in Tweet in G10:
[259] diario,#covid_19
[259] informe,diario
[259] casos,activos
[259] fallecidos,registrados
[259] casos,nuevos
[252] ministeriosalud,informe
[62] 846,casos
[62] activos,57
[62] nuevos,11
[62] nuevos,12

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@6_genre
@jeanyvescapo
@aureleretouriii
@tweettaravista
@noah19612460
@takeheight
@julienm__
@baddackus
@bfmtv

Top Replied-To in G1:
@_2019_ncov
@6_genre
@aureleretouriii
@takeheight
@noah19612460
@tweettaravista
@bfmtv
@lrestistant73
@kalagan974
@donq_17

Top Replied-To in G2:
@_2019_ncov
@jeanyvescapo
@6_genre
@julienm__
@log_yves
@gaelianprincess
@alainsebil
@idrissaberkane
@cloutechristin2
@lucilefievet

Top Replied-To in G4:
@_2019_ncov
@mariadacunha16
@louan07
@ludovicodiot
@secretwar_
@adams396207
@maya__mayo
@bernard_gitton
@benali89790792
@giustin52584244

Top Replied-To in G6:
@capublichealth
@gringotuanis
@leoncepontillie

Top Replied-To in G8:
@cherylr56608129
@libertymutual8
@scottstocker4
@takethatct
@grossgross14
@sc0tt_tampa
@cb64833728
@chantalsaucier
@mcfunny
@virtual_tobias

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@mpatriabrasil
@ministeriosalud
@verity_france
@julienm__
@cdcgov
@banounhelene
@idrissaberkane
@hiroshima_pref

Top Mentioned in G1:
@_2019_ncov
@fandemarlene
@verity_france
@elonmusk
@emmanuelmacron
@twittdeflo
@borowskimike
@cavousf5
@aureleretouriii
@frcsbraun

Top Mentioned in G2:
@_2019_ncov
@banounhelene
@idrissaberkane
@crashdebug_fr
@robertkennedyjr
@cristianterhes
@caudehenrion
@tuckercarlson
@verity_france
@alainsebil

Top Mentioned in G3:
@mpatriabrasil

Top Mentioned in G4:
@_2019_ncov
@_samedi_
@marc_doyer
@louan07
@paulavd2201
@fp_ribella
@assocovid
@benali89790792
@giustin52584244
@sarahreyou

Top Mentioned in G5:
@drml350phd
@tirghrathoir
@clubfmphilly
@paularitchie3
@fr_hossain
@momotar37156452

Top Mentioned in G6:
@cdcgov
@alexander_tin
@rihealth
@hhsgov
@ddphe
@repthomasmassie
@rayarmat
@us_fda
@newsreputation
@whophilippines

Top Mentioned in G7:
@ibaraki_kouhou
@tsukubais

Top Mentioned in G8:
@doritmi
@alex_on_a14
@skepticalmutant
@ogilville1
@zeetubesii
@tonybaduy
@pouldeau61
@wendyorent
@frenchg11623069
@rickeyh64219156

Top Mentioned in G9:
@hiroshima_pref
@chibaken_kouhou
@drhiromi
@koheikana
@ibaraki_kouhou
@ygd862
@ooaminavi
@dondeli

Top Mentioned in G10:
@ministeriosalud

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

Top Tweeters in G1:
@threadreaderapp
@lagrosta
@botliberalisme
@altai_armande
@bfmtv
@bo_chart
@lau68951920
@le_parisien
@talullabellefle
@unrollhelper

Top Tweeters in G2:
@yvespdb
@teppdude
@diabolo741
@delalande72
@ninasouky70
@rosesouslapluie
@laurent_daniel
@debrouille92
@mrjumper02
@ladyjessparis

Top Tweeters in G3:
@anousca65
@izaquends
@ayurvedapoa
@adriana_foltran
@ronivilar
@sardinha_rose
@alexchina_0_
@fabianammendes
@luizrboaventura
@11setembro

Top Tweeters in G4:
@m2bliquis
@sonialavera
@marcevann
@josmirek
@kommersant
@guyjeff1
@moussya
@arcenetac
@chatmania_misty
@kocherchristia4

Top Tweeters in G5:
@matiere
@personalfitnes3
@paularitchie3
@gate_15_analyst
@this1wierdgirl
@carline15973938
@clubfmphilly
@thefirstindia
@akazawakuniaki
@sfdb

Top Tweeters in G6:
@tyberzannxxxx
@pppatticake
@didifrench
@smlnewswsasia
@planetscape
@hiro_thekid
@democat46
@harmony_diaz
@kristiwelshies
@biggammaenergy

Top Tweeters in G7:
@mutoh_z
@tsuka_kazunee
@shirayukihime_p
@sgr_kn
@dummyxtweet
@chizuru_chips
@beer_prius
@contaxndigital
@hiroyuki_yajima
@akeykomichan721

Top Tweeters in G8:
@doritmi
@rolo_tamasi
@vincegottalotta
@ladyoftheocean1
@monstercoyliar
@takethatct
@mcfunny
@howienudet
@hrt6017
@angryfleas

Top Tweeters in G9:
@kokusizu2
@4823_tanaka
@keiki22
@tawarayasotatsu
@crossline_jp
@turututukotokot
@sakiku_bpts
@tanimoshinden
@k6310msm
@susumumushi

Top Tweeters in G10:
@rodolfoxoliz
@fabiparraguezm
@trigorosa
@dragontauro
@infozeus
@dmvecinal
@gonzaloxrojas
@mgarcia318
@negravillana
@lelelx