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


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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