NCoV, Twitter, 3/11/2023 12:47:31 PM, 290870


FAQ | Problem?

NCoV_2023-03-11_03-12-01.xlsx
NCoV_2023-03-11_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 11, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3Fk5Nef
@_2019_ncov
@elonmusk
@ptcjoneses
@leelasik
@cdcgov
@doritmi
@hiddenpinky
@mkheele3
@julienm__
@angryfleas

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#covid
#coronavirus
#練馬区
#新型コロナ
#広島県
#covid1
#코로나19

Description:
Description
The graph represents a network of 4,786 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1151-day, 13-hour, 37-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 11 March 2023 at 00:55 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 : 4786
Unique Edges : 4883
Edges With Duplicates : 14343
Total Edges : 19226
Number of Edge Types : 9
Retweet : 2758
MentionsInRetweet : 4951
Replies to : 2394
MentionsInReplyTo : 7072
Mentions : 230
MentionsInQuote : 497
Tweet : 656
MentionsInQuoteReply : 562
Quote : 106
Self-Loops : 1131
Reciprocated Vertex Pair Ratio : 0.0490058479532164
Reciprocated Edge Ratio : 0.0934329356672985
Connected Components : 492
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 2647
Maximum Edges in a Connected Component : 13096
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.270372
Graph Density : 0.000391642115347751
Modularity : 0.408812
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,786 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 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1151-day, 13-hour, 37-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 11 March 2023 at 00:55 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:
[423] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[246] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[128] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[118] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[111] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[88] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[39] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[37] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[28] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[27] https://ncov.kdca.go.kr/

Top URLs in Tweet in G1:
[9] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[5] https://twitter.com/caimsteff1/status/1633469091397656578
[5] https://twitter.com/marcelalann/status/1634268776488226827/photo/1
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[3] https://twitter.com/ChomEnterprise/status/1633546025133547526/photo/1
[3] https://www.assemblee-nationale.fr/dyn/15/textes/l15b1118_proposition-loi
[3] https://twitter.com/dragonduclos/status/1633208954091102208?s=46&t=v20ijNDNvW0g2pzrfoclbw
[3] https://twitter.com/Pito843/status/1633015960016756736/photo/1
[2] https://twitter.com/_2019_nCoV/status/1634286905431867392/photo/1
[2] https://www.youtube.com/watch?v=qMMVIppx-Qw&feature=youtu.be


Top URLs in Tweet in G2:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/php/reporting-pui.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://twitter.com/kerpen/status/1633620035137683456/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G3:
[6] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[2] https://twitter.com/UPR_Asselineau/status/1633055588841127936/photo/1
[2] https://www.francesoir.fr/opinions-tribunes/le-temps-d-atterrir-est-venu-et-cela-pourrait-etre-brutal
[2] https://twitter.com/PR93095542/status/1581679610882068481/photo/1
[1] https://t.me/disclosetv/10730
[1] https://www.youtube.com/watch?v=tmmPHvlbdwI

[1] https://t.me/UkraineHumanRightsAbuses/21439
[1] https://twitter.com/BPartisans/status/1633749164898017280?s=20
[1] https://twitter.com/jgalt485/status/1633882270565294080/video/1
[1] https://www.globalresearch.ca/washington-out-topple-india-modi/5809241

Top URLs in Tweet in G4:
[225] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[1] https://newspunch.com/bill-gates-arrest-warrant-issued-in-philippines-for-premeditated-murder-linked-to-vaccine-roll-out/
[1] https://twitter.com/JulienM__/status/1601937037501861889/video/1
[1] https://pharmafiles.substack.com/p/did-the-shit-just-hit-the-fan-in
[1] https://twitter.com/MarieSomar/status/1633906406620315670/video/1

Top URLs in Tweet in G5:
[3] https://www.pnas.org/doi/10.1073/pnas.2002589117
[3] https://www.biorxiv.org/content/10.1101/2020.03.02.972935v1
[3] https://www.mja.com.au/system/files/2020-03/caly%20et%20al%20mja20.00186_preprint.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[1] https://twitter.com/ptcjoneses/status/1634188077429137409/photo/1
[1] https://www.bbc.com/news/health-64876657

Top URLs in Tweet in G6:
[115] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[88] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[26] https://ncov.kdca.go.kr/
[22] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[20] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[12] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[11] https://twitter.com/funwari_fuwari/status/1633324053531611142
[5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html#cms09A35
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/status.html
[3] https://www.city.katsushika.lg.jp/kenkou/1000050/1027748/1027875/1026599.html

Top URLs in Tweet in G7:
[20] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_661_COVID-19.pdf
[16] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[8] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_662_COVID-19.pdf
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[4] https://twitter.com/LancetRespirMed/status/1633410600280772611/photo/1
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/informe_covid_es_publico_2023-03-10.pdf
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230217.pdf
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[3] https://www.vacunacovid.gob.es/

Top URLs in Tweet in G8:
[419] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[115] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[109] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[15] https://twitter.com/hiroshima_pref/status/1633018395603120128/photo/1
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[8] https://www.catapoke.com/viewer/?open=62b3f
[2] https://twitter.com/kashiwacasc/status/1633762343900553216/photo/1
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1631186065276162048/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1631562117592784897/photo/1

Top URLs in Tweet in G9:
[13] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html?utm_source=CDC+-+Vaccination+Effectiveness+
[6] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html?utm_source=TWITTER
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://www.cdc.gov/coronavirus/2019-ncov/index.html?CDC_AA_refVal=https://www.cdc.gov/coronavirus/index.html
[4] https://twitter.com/blurmyu/status/1634156881160667137/photo/1

Top URLs in Tweet in G10:
[3] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[3] https://twitter.com/mjtimber2/status/1633416497338150912/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[2] https://twitter.com/foofu/status/1633917689361055745/photo/1
[1] https://twitter.com/i/web/status/1632413781023244292
[1] https://twitter.com/VigilantFox/status/1632413781023244292/video/1
[1] https://twitter.com/i/web/status/1632409213166026752

Top Domains
Top Domains in Tweet in Entire Graph:
[1075] twitter.com
[730] cdc.gov
[442] ibaraki.jp
[281] lg.jp
[247] newspunch.com
[85] recombinomics.co
[76] tokyo.jp
[68] gob.es
[42] who.int
[40] go.jp

Top Domains in Tweet in G1:
[234] twitter.com
[18] youtube.com
[13] threadreaderapp.com
[9] newspunch.com
[5] pgibertie.com
[4] touscontribuables.org
[3] wordpress.com
[3] assemblee-nationale.fr
[2] francetvinfo.fr
[2] bfmtv.com

Top Domains in Tweet in G2:
[65] cdc.gov
[41] twitter.com
[1] cnn.com
[1] mdpi.com
[1] frontiersin.org
[1] youtube.com
[1] reuters.com
[1] audacy.com
[1] bvsalud.org
[1] nih.gov

Top Domains in Tweet in G3:
[47] twitter.com
[6] newspunch.com
[4] t.me
[3] crashdebug.fr
[2] threadreaderapp.com
[2] bonsens.info
[2] francesoir.fr
[1] youtube.com
[1] globalresearch.ca
[1] substack.com

Top Domains in Tweet in G4:
[226] newspunch.com
[2] twitter.com
[1] substack.com

Top Domains in Tweet in G5:
[16] cdc.gov
[7] twitter.com
[3] pnas.org
[3] biorxiv.org
[3] com.au
[1] bbc.com
[1] apnews.com
[1] hhs.gov
[1] nih.gov
[1] fda.gov

Top Domains in Tweet in G6:
[137] cdc.gov
[123] twitter.com
[56] tokyo.jp
[28] go.kr
[23] lg.jp
[3] go.jp
[2] or.jp
[1] bmj.com

Top Domains in Tweet in G7:
[61] gob.es
[51] twitter.com
[17] minsal.cl
[3] cdc.gov
[2] thelancet.com
[2] publichealthontario.ca

Top Domains in Tweet in G8:
[430] ibaraki.jp
[225] lg.jp
[35] twitter.com
[8] catapoke.com
[1] cdc.gov

Top Domains in Tweet in G9:
[132] twitter.com
[100] cdc.gov
[85] recombinomics.co
[15] go.jp
[14] lg.jp
[12] ibaraki.jp
[7] nytimes.com
[6] docguide.com
[6] nih.gov
[5] co.jp

Top Domains in Tweet in G10:
[20] cdc.gov
[16] twitter.com
[2] who.int
[2] verywellhealth.com
[1] dailyclout.io
[1] substack.com
[1] thelancet.com
[1] nature.com
[1] gov.uk
[1] gov.au

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[418] 新型コロナウイルス感染症情報
[338] covid_19
[308] covid19
[29] covid
[27] coronavirus
[24] 練馬区
[24] 新型コロナ
[23] 広島県
[22] covid1
[20] 코로나19



Top Hashtags in Tweet in G1:
[12] pasnotreeurope
[4] pfizer
[3] blackblocs
[3] boycottpalaisdetokyo
[3] covid
[2] stefanov
[2] merck
[2] gardasil
[2] covid_19
[2] déconstruction

Top Hashtags in Tweet in G2:
[254] covid19
[7] dyk
[7] covid
[5] longcovid
[2] deltavariant
[1] impfung
[1] putinasset

Top Hashtags in Tweet in G3:
[2] newagenda2023
[2] powertothepeople
[2] wef
[1] zelenskiwarcriminal
[1] macrondegage
[1] macronletraitre
[1] macronlahonte
[1] apprehension
[1] prosecution
[1] and

Top Hashtags in Tweet in G5:
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet
[1] covid19

Top Hashtags in Tweet in G6:
[20] 練馬区
[20] 코로나19
[20] 예방접종
[20] 기초접종
[15] 동절기추가접종
[15] 백신
[15] 방역
[15] 질병관리청
[15] 질병청
[15] kdca

Top Hashtags in Tweet in G7:
[336] covid_19
[22] covid1
[20] coronavirus
[15] covid19
[14] asturias
[9] yomevacunoseguro
[6] asturies
[6] vacunacovid19
[6] vacunación
[3] covid

Top Hashtags in Tweet in G8:
[418] 新型コロナウイルス感染症情報
[24] 新型コロナ
[23] 広島県
[1] 茨城県

Top Hashtags in Tweet in G9:
[23] covid19
[9] cdc
[8] covid
[4] longcovid
[3] vaccines
[3] valneva
[3] vla2001
[2] sleeveup
[2] coronavirus
[2] longcovidawarenessday

Top Hashtags in Tweet in G10:
[1] plasmidgate
[1] longcovid
[1] mecfs
[1] pots
[1] smallfiber
[1] covid
[1] vaccine

Top Words
Top Words in Tweet in Entire Graph:
[1473] _2019_ncov
[1132] covid
[670] casos
[631] co
[525] 19
[418] qnzux8c1z3
[418] 本日の新規陽性者数
[418] 検査前で症状がある方
[418] 現在の入院者数
[418] 本日の死亡者

Top Words in Tweet in G1:
[1190] _2019_ncov
[180] c'est
[164] ce
[124] ils
[121] plus
[116] sont
[113] ça
[106] tout
[105] piochel4
[103] mais

Top Words in Tweet in G2:
[323] covid
[277] cdcgov
[254] #covid19
[240] people
[148] long
[141] conditions
[139] infection
[136] anyone
[135] pcc
[133] experience

Top Words in Tweet in G3:
[165] yvespdb
[137] _2019_ncov
[134] 55bellechasse
[128] jgalt485
[82] jeanyvescapo
[72] don_quichoute
[72] higuerolucien
[71] basphilippe
[71] philippemurer
[70] alainhoupert

Top Words in Tweet in G4:
[227] plus
[225] injections
[225] meurtriers
[225] déclare
[225] julienm__
[225] d'arnm
[225] vaccins
[225] sont
[225] l'histoire
[225] l'allemagne

Top Words in Tweet in G5:
[12] claushetting
[12] isolation
[12] mcfunny
[10] ryanbeed
[9] skepticalmutant
[9] virus
[9] monstercoyliar
[9] covid
[9] doritmi
[8] tomsirolimus

Top Words in Tweet in G6:
[115] 妊娠中のコロナワクチン接種は安全で有効
[115] コロナワクチン接種は男女ともに不妊に影響しない
[115] cdcの妊婦におけるコロナワクチン接種に関するページ
[114] mph_for_doctors
[43] 코로나19
[41] 練馬区
[38] 土
[36] 11
[35] 13
[34] 集団接種

Top Words in Tweet in G7:
[670] casos
[345] informe
[336] diario
[336] #covid_19
[335] activos
[335] nuevos
[335] 64
[333] registrados
[333] fallecidos
[326] marzo

Top Words in Tweet in G8:
[550] co
[418] 詳細
[418] 現在の入院者数
[418] 本日の死亡者
[418] 検査前で症状がある方
[418] 本日の新規陽性者数
[418] qnzux8c1z3
[418] うち重症者
[418] #新型コロナウイルス感染症情報
[409] ibaraki_kouhou

Top Words in Tweet in G9:
[202] covid
[141] ncov
[124] 2019
[101] 19
[91] cases
[85] increase
[85] inc
[85] recombinomics
[81] 1人
[81] deaths

Top Words in Tweet in G10:
[156] covid
[141] long
[85] vigilantfox
[74] dowdedward
[72] test
[70] iwillfactcheck_
[70] based
[70] medical
[70] diagnosis
[70] patients

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[418] qnzux8c1z3,検査前で症状がある方
[418] 詳細,co
[418] co,qnzux8c1z3
[409] ibaraki_kouhou,#新型コロナウイルス感染症情報
[388] covid,19
[335] informe,diario
[335] casos,activos
[335] diario,#covid_19
[335] casos,nuevos
[333] registrados,64

Top Word Pairs in Tweet in G1:
[53] anticor_org,csapeforce
[50] mamanslouves,gaelleml44
[39] _2019_ncov,qofficiel
[34] 55bellechasse,_2019_ncov
[32] _2019_ncov,c'est
[28] agretdenis,_2019_ncov
[28] csapeforce,agretdenis
[28] gaelleml44,anticor_org
[28] _2019_ncov,_samedi_
[27] marleneschiappa,andreabescond

Top Word Pairs in Tweet in G2:
[147] long,covid
[140] covid,conditions
[133] covid,infection
[133] infection,people
[133] anyone,#covid19
[133] experience,covid
[133] pcc,long
[133] conditions,pcc
[133] #covid19,experience
[132] cdcgov,anyone

Top Word Pairs in Tweet in G3:
[69] alainhoupert,jeanyvescapo
[69] basphilippe,yvespdb
[68] jeanyvescapo,tvlcampagnol
[63] tvlcampagnol,verity_france
[60] verity_france,jgalt485
[57] 55bellechasse,basphilippe
[56] yvespdb,alainhoupert
[55] rrrrgerard,55bellechasse
[41] sitting_bull_d,rrrrgerard
[39] don_quichoute,higuerolucien

Top Word Pairs in Tweet in G4:
[225] sont,vaccins
[225] d'arnm,sont
[225] vaccins,plus
[225] injections,d'arnm
[225] meurtriers,l'histoire
[225] l'allemagne,déclare
[225] plus,meurtriers
[225] déclare,injections
[224] julienm__,l'allemagne
[3] yvespdb,micheljeandomi1

Top Word Pairs in Tweet in G5:
[6] nicoleg425,shina20269455
[6] zeetubesii,aspalaasnasntyr
[6] sars,cov
[6] incitatusalpha,kevinault
[6] nicky111lady,reacharoundu
[6] isolation,first
[6] idunsdaughter,zeetubesii
[6] patient,isolation
[6] reacharoundu,doritmi
[6] tarsins,idunsdaughter

Top Word Pairs in Tweet in G6:
[115] 妊娠中のコロナワクチン接種は安全で有効,コロナワクチン接種は男女ともに不妊に影響しない
[115] cdcの妊婦におけるコロナワクチン接種に関するページ,妊娠中のコロナワクチン接種は安全で有効
[114] mph_for_doctors,cdcの妊婦におけるコロナワクチン接種に関するページ
[34] 11,土
[30] 코로나19,국내
[30] 국내,현황
[30] 本日のコロナワクチン接種会場,本日
[29] 13,기초
[29] 기초,접종
[29] 추가접종,13

Top Word Pairs in Tweet in G7:
[335] casos,activos
[335] diario,#covid_19
[335] informe,diario
[335] casos,nuevos
[333] registrados,64
[333] fallecidos,registrados
[319] ministeriosalud,informe
[277] #covid_19,marzo
[120] activos,fallecidos
[77] 12,fallecidos

Top Word Pairs in Tweet in G8:
[418] 詳細,co
[418] qnzux8c1z3,検査前で症状がある方
[418] co,qnzux8c1z3
[409] ibaraki_kouhou,#新型コロナウイルス感染症情報
[310] 2名,本日の死亡者
[310] うち重症者,2名
[253] 検査前で症状がある方,検査で陽性と判
[206] 本日の死亡者,1名
[206] 1名,詳細
[115] 本日の感染者はコチラ,co

Top Word Pairs in Tweet in G9:
[119] 2019,ncov
[92] covid,19
[85] recombinomics,inc
[85] cases,increase
[85] ncov,recombinomics
[84] covid,cases
[17] learn,more
[15] coronavirus,2019
[13] 19,vaccines
[12] deaths,13

Top Word Pairs in Tweet in G10:
[141] long,covid
[73] vigilantfox,dowdedward
[70] medical,test
[70] test,long
[70] based,patients
[70] covid,diagnosis
[70] diagnosis,based
[69] dowdedward,long
[69] covid,medical
[68] iwillfactcheck_,vigilantfox

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@eatcatalf
@jgalt485
@blue_ncov
@5glinky
@yvespdb
@55bellechasse
@drelidavid
@piochel4
@ludovicodiot

Top Replied-To in G1:
@_2019_ncov
@eatcatalf
@5glinky
@jgalt485
@piochel4
@ludovicodiot
@55bellechasse
@marilynnemeur
@theavnersolal
@6_genre

Top Replied-To in G2:
@storiesofinjury
@fredtopel
@bleedgreen8990
@godleonidas
@michael59503746
@warreneducators
@nbdabrowski
@_livelovesimply
@cdcgov
@igrisikogruppe

Top Replied-To in G3:
@_2019_ncov
@yvespdb
@sitting_bull_d
@julienm__
@jgalt485
@55bellechasse
@don_quichoute
@rrrrgerard
@basphilippe
@flaydeni

Top Replied-To in G4:
@_2019_ncov

Top Replied-To in G5:
@0800_ksmy_ass
@mcfunny
@tyronepenning
@handmadekathy
@hodlchicken
@claushetting
@paulhud32059570
@speaking4m
@giveabjgotojail
@nicolas_gaboury

Top Replied-To in G6:
@kyoutonoinaka
@mikito_777

Top Replied-To in G7:
@nocimiento
@josepmasanas
@ministeriosalud
@jconchac

Top Replied-To in G10:
@vigilantfox
@booyakashan1
@anorthantsfan
@mjtimber2
@a_nineties
@barriec1994
@sibylle_berlin
@jason_willz1
@rrdobrgal
@seashells9196

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@ministeriosalud
@cdcgov
@julienm__
@55bellechasse
@yvespdb
@jgalt485
@mph_for_doctors
@hiroshima_pref

Top Mentioned in G1:
@_2019_ncov
@piochel4
@agretdenis
@anticor_org
@gaelleml44
@csapeforce
@mamanslouves
@55bellechasse
@anouchpp
@divizio1

Top Mentioned in G2:
@cdcgov
@kerpen
@joebiden
@potus
@valeriejay16
@djokernole
@vdhgov
@minorityhealth
@us_fda
@bag_ofsp_ufsp

Top Mentioned in G3:
@yvespdb
@55bellechasse
@jgalt485
@_2019_ncov
@jeanyvescapo
@higuerolucien
@philippemurer
@alainhoupert
@tvlcampagnol
@tatiann69922625

Top Mentioned in G4:
@julienm__
@planetes360
@tatiann69922625
@_2019_ncov
@gabinjean3
@lapinkres
@nova153
@yvespdb
@micheljeandomi1
@banounhelene

Top Mentioned in G5:
@ryanbeed
@mcfunny
@claushetting
@skepticalmutant
@monstercoyliar
@doritmi
@cbeckj
@jimeeliberty
@scary7dr
@nuhope2022

Top Mentioned in G6:
@mph_for_doctors
@funwari_fuwari
@hellopolicy
@bar1star
@kenko_de_nerima
@koreadca
@konmei30
@mikito_777
@ooaminavi
@way2justice2

Top Mentioned in G7:
@ministeriosalud
@sanidadgob
@astursalud
@cdcespanol
@lancetrespirmed
@pifermu
@xunta
@rodolfocarter

Top Mentioned in G8:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou
@kashiwacasc
@keyaki1117

Top Mentioned in G9:
@fourthdose
@miguelh56857253

Top Mentioned in G10:
@vigilantfox
@dowdedward
@iwillfactcheck_
@jikkyleaks
@jason_willz1
@yeahnaa333
@bambkb
@thisuserismad
@shevi_sloane
@sethmacfarlane

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@matiere
@toneunga3
@sippomagari
@lizditz
@personalfitnes3
@inquirerdotnet
@sonialavera
@kokusizu2

Top Tweeters in G1:
@threadreaderapp
@limportant_fr
@altai_armande
@bo_chart
@bfmtv
@lenine13
@mazenod10
@ladevita12
@danubaud
@le_parisien

Top Tweeters in G2:
@katcapps
@bassaces1
@lorettabower3
@tyberzannxxxx
@purpledalmation
@wtf_imtooold
@didifrench
@thinkkimthink
@celestebyrne3
@cptcookswife

Top Tweeters in G3:
@mariabadin18
@yvespdb
@talullabellefle
@william85837998
@pilotte_daniel
@jaguard22222
@chambssy
@nova153
@bourgeoiseliane
@agatheserpenti

Top Tweeters in G4:
@pvalsfr
@grobisr
@mydaphne
@gateta30
@chantalrobertet
@ehavet
@carmenacoleman
@cazmariani
@guyletyn
@babibelle33

Top Tweeters in G5:
@lizditz
@doritmi
@monstercoyliar
@mcfunny
@breezergalway
@angryfleas
@frankdelia7
@nockit1
@jneill
@wendyorent

Top Tweeters in G6:
@kokusizu2
@hakofuguf
@otakutokkai
@gooochin
@paku
@mark__lp
@d2n5q4gciztsa2e
@nancy_moon_1789
@onituka
@isodin_sf5

Top Tweeters in G7:
@siquieresmelees
@937908mcm
@turkiantof
@manolo67554861
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana
@denniselazul
@clare1959

Top Tweeters in G8:
@toneunga3
@shintochigi1
@takayan309
@atsushi48shm410
@mutoh_z
@moriai8
@takanasiayame
@tsuka_kazunee
@turututukotokot
@tanimoshinden

Top Tweeters in G9:
@matiere
@personalfitnes3
@npsusa
@drunkunclep
@didaclopez
@irlandia
@gate_15_analyst
@bettycjung
@yu2kama
@sherrychiyohime

Top Tweeters in G10:
@drhrose
@todomejorqenada
@takethatct
@flatwalk
@kpod1952
@healthcareglob1
@somedaygirl
@rynoratboydiane
@evelyn31721
@standforright


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.