NCoV, Twitter, 3/8/2023 9:56:52 AM, 290605


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NCoV_2023-03-08_01-44-01.xlsx
NCoV_2023-03-08_01-44-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 08, 2023
Short Description:
NCoV via NodeXL PERMANENTLY_REMOVED
@_2019_ncov
@cdcgov
@lipsoflight
@realdonaldtrump
@potus
@sitting_bull_d
@elonmusk
@julienm__
@leelasik
@vigilantfox

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

Description:
Description
The graph represents a network of 5,208 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 09:48 UTC.

The tweets in the network were tweeted over the 3574-day, 8-hour, 24-minute period from Friday, 24 May 2013 at 16:33 UTC to Wednesday, 08 March 2023 at 00:58 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 : 5208
Unique Edges : 4259
Edges With Duplicates : 12940
Total Edges : 17199
Number of Edge Types : 9
Retweet : 3186
MentionsInRetweet : 4630
Replies to : 1892
MentionsInReplyTo : 5781
Tweet : 714
MentionsInQuoteReply : 344
Quote : 64
Mentions : 239
MentionsInQuote : 349
Self-Loops : 1155
Reciprocated Vertex Pair Ratio : 0.0505603667855323
Reciprocated Edge Ratio : 0.0962540914050188
Connected Components : 612
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 2749
Maximum Edges in a Connected Component : 10211
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.920878
Graph Density : 0.000304188471327001
Modularity : 0.445432
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,208 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 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 09:48 UTC.

The tweets in the network were tweeted over the 3574-day, 8-hour, 24-minute period from Friday, 24 May 2013 at 16:33 UTC to Wednesday, 08 March 2023 at 00:58 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:
[456] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[273] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[130] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[127] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[125] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[59] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[42] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[38] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[30] https://ncov.kdca.go.kr/
[29] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G1:
[15] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[3] https://twitter.com/Pito843/status/1633015960016756736/photo/1
[2] https://frontieresblog.wordpress.com/2021/06/20/covid-19-le-plus-grand-scandale-de-lhistoire-de-lhumanite/
[2] https://twitter.com/UPR_Asselineau/status/1633055588841127936/photo/1
[2] https://twitter.com/Thierry71962611/status/1632861014768205824/photo/1
[2] https://twitter.com/Chrysteens1/status/1633027117708451840/photo/1
[2] https://twitter.com/MarieSomar/status/1633191010326007808/photo/1
[1] https://twitter.com/i/status/1632723132573261825
[1] https://twitter.com/_2019_nCoV/status/1633178219569446914/video/1
[1] https://twitter.com/_2019_nCoV/status/1632846801605648388/video/1

Top URLs in Tweet in G2:
[10] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[7] https://www.theguardian.com/world/2022/feb/02/exposure-to-one-nasal-droplet-enough-for-covid-infection-study
[7] https://www.science.org/doi/10.1126/sciadv.abd3083
[7] https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2788457
[7] https://www.clinicaloncology.com/COVID-19/Article/03-21/Uncovering-the-History-of-Medical-Face-Masks-In-the-Time-of-COVID-19/62804
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#when-you-can-get-booster
[2] https://www.erasmusmc.nl/perskamer/archief/2013/4164294/?lang=en
[2] http://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html
[1] https://twitter.com/CDCgov/status/1632773120170901504/photo/1

Top URLs in Tweet in G3:
[258] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[1] https://twitter.com/JulienM__/status/1601937037501861889/video/1
[1] https://newspunch.com/bill-gates-arrest-warrant-issued-in-philippines-for-premeditated-murder-linked-to-vaccine-roll-out/
[1] https://www.thegatewaypundit.com/2023/02/fda-reveals-rare-possibly-fatal-neurological-disorder-is-a-potential-risk-with-new-pfizer-vaccine/
[1] https://pharmafiles.substack.com/p/did-the-shit-just-hit-the-fan-in
[1] https://newspunch.com/moderna-us-government-received-400-million-in-mrna-royalty-payments/
[1] https://twitter.com/Louan07/status/1631970064940277760/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html

Top URLs in Tweet in G4:
[6] https://www.fda.gov/media/134922/download#page38
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[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/recommendations/pregnancy.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[2] https://twitter.com/JDCBurnhil/status/1629966865538723840/photo/1
[1] https://twitter.com/IamTybalt79/status/1630669434070134784/photo/1

Top URLs in Tweet in G5:
[13] https://www.cdc.gov/coronavirus/2019-ncov/php/hd-breakthrough.html
[1] https://twitter.com/SHomburg/status/1630249965086810115/photo/1
[1] https://twitter.com/SHomburg/status/1630248827772088320/photo/1
[1] https://twitter.com/SHomburg/status/1630244473040175105/photo/1
[1] Https://www.cdc.gov/coronavirus/2019-ncov/php/hd-breakthrough.html
[1] https://twitter.com/dhbfjsdn/status/1631010587336491008/photo/1
[1] https://twitter.com/dhbfjsdn/status/1631008287964495872/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.medizin.uni-halle.de/news/umprogrammierung-von-immunzellen-bei-long-covid
[1] https://www.nhs.uk/conditions/coronavirus-covid-19/long-term-effects-of-coronavirus-long-covid/

Top URLs in Tweet in G6:
[13] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[7] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/index.html?CDC_AA_refVal=https://www.cdc.gov/coronavirus/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html?utm_source=CDC+-+Vaccination+Effectiveness+
[6] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html?utm_source=TWITTER

Top URLs in Tweet in G7:
[115] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[29] https://ncov.kdca.go.kr/
[20] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[10] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/0313mask.html
[5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/houshin0303.html
[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
[3] https://nerima-yell.com/web2/wp-content/uploads/2023/02/130243666963e5d6079366a.pdf
[2] https://www.city.koto.lg.jp/291101/sessyujoukyou.html
[2] https://www.city.shinagawa.tokyo.jp/PC/kuseizyoho/kuseizyoho-koho/kuseizyoho-koho-sonota/vaccine_meter.html

Top URLs in Tweet in G8:
[20] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_661_COVID-19.pdf
[13] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[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_20230224.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[3] https://www.vacunacovid.gob.es/
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[2] https://twitter.com/sanidadgob/status/1631637729770446850/photo/1
[2] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_659_COVID-19.pdf

Top URLs in Tweet in G9:
[452] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[130] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[121] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[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
[9] https://www.catapoke.com/viewer/?open=62b3f
[4] https://twitter.com/ooaminavi/status/1631089908067729409/photo/1
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[2] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[2] https://twitter.com/ooaminavi/status/1630345865281040385/photo/1

Top URLs in Tweet in G10:
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://pubmed.ncbi.nlm.nih.gov/36827275/
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[2] https://web.archive.org/web/20200521113035/https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://dailyclout.io/now-published-in-the-peer-reviewed-scientific-literature-the-mrna-vaccines-are-neither-safe-nor-effective-but-outright-dangerous/
[1] https://twitter.com/i/web/status/1632409213166026752

Top Domains
Top Domains in Tweet in Entire Graph:
[904] cdc.gov
[900] twitter.com
[475] ibaraki.jp
[303] lg.jp
[275] newspunch.com
[79] recombinomics.co
[67] tokyo.jp
[57] gob.es
[55] who.int
[42] go.kr

Top Domains in Tweet in G1:
[134] twitter.com
[15] newspunch.com
[9] youtube.com
[9] threadreaderapp.com
[5] pgibertie.com
[3] t.me
[3] cdc.gov
[3] wordpress.com
[2] francetvinfo.fr
[2] crowdbunker.com

Top Domains in Tweet in G2:
[39] cdc.gov
[22] twitter.com
[9] theguardian.com
[8] science.org
[8] jamanetwork.com
[7] clinicaloncology.com
[2] erasmusmc.nl
[2] elsevier.com
[2] medicalxpress.com
[2] who.int

Top Domains in Tweet in G3:
[260] newspunch.com
[2] twitter.com
[1] thegatewaypundit.com
[1] substack.com
[1] cdc.gov

Top Domains in Tweet in G4:
[19] cdc.gov
[10] twitter.com
[6] fda.gov
[3] pnas.org
[3] biorxiv.org
[3] com.au
[1] nih.gov
[1] apnews.com
[1] virological.org

Top Domains in Tweet in G5:
[16] cdc.gov
[6] twitter.com
[1] uni-halle.de
[1] nhs.uk
[1] thelancet.com

Top Domains in Tweet in G6:
[182] twitter.com
[143] cdc.gov
[79] recombinomics.co
[16] lg.jp
[16] nytimes.com
[13] ibaraki.jp
[9] go.jp
[9] docguide.com
[8] nih.gov
[8] amazon.it

Top Domains in Tweet in G7:
[117] cdc.gov
[51] tokyo.jp
[31] go.kr
[14] twitter.com
[11] lg.jp
[3] nerima-yell.com
[1] bmj.com
[1] marshmallow-qa.com

Top Domains in Tweet in G8:
[48] gob.es
[32] twitter.com
[14] minsal.cl
[3] cdc.gov
[2] publichealthontario.ca

Top Domains in Tweet in G9:
[462] ibaraki.jp
[259] lg.jp
[45] twitter.com
[9] catapoke.com

Top Domains in Tweet in G10:
[21] cdc.gov
[10] twitter.com
[3] nih.gov
[2] archive.org
[1] dailyclout.io
[1] nature.com
[1] substack.com
[1] reuters.com
[1] thelancet.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[452] 新型コロナウイルス感染症情報
[347] covid19
[337] covid_19
[24] 広島県
[24] 新型コロナ
[24] 코로나19
[24] 예방접종
[24] 기초접종
[23] covid
[23] coronavirus



Top Hashtags in Tweet in G1:
[2] déconstruction
[2] covid19
[2] boycott
[2] blackblocs
[2] macronletraitre
[2] newagenda2023
[2] powertothepeople
[2] wef
[2] pfizer
[1] fauciprison

Top Hashtags in Tweet in G2:
[249] covid19
[2] mers
[2] ncov
[2] longcovid
[1] covid19vaccines
[1] makeaplannc
[1] booster
[1] blackhistorymonth

Top Hashtags in Tweet in G4:
[1] covid
[1] vaccine

Top Hashtags in Tweet in G6:
[25] covid19
[12] covid
[8] cdc
[7] longcovid
[6] coronavirus
[5] test
[5] sars8
[5] 2019_ncov
[5] sarscov19
[5] covid19vaccine

Top Hashtags in Tweet in G7:
[24] 코로나19
[24] 예방접종
[24] 기초접종
[20] 練馬区
[14] 동절기추가접종
[14] 백신
[14] 방역
[14] 질병관리청
[14] 질병청
[14] kdca

Top Hashtags in Tweet in G8:
[336] covid_19
[17] covid1
[15] covid19
[10] coronavirus
[9] vacunacovid19
[8] yomevacunoseguro
[6] vacunación
[6] asturias
[4] asturies
[2] covid

Top Hashtags in Tweet in G9:
[452] 新型コロナウイルス感染症情報
[24] 広島県
[24] 新型コロナ
[6] 千葉県庁

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

Top Words
Top Words in Tweet in Entire Graph:
[1495] covid
[685] _2019_ncov
[670] casos
[668] co
[664] 19
[519] cdc
[452] qnzux8c1z3
[452] 本日の新規陽性者数
[452] 検査前で症状がある方
[452] 現在の入院者数

Top Words in Tweet in G1:
[658] _2019_ncov
[130] tatiann69922625
[112] yvespdb
[95] ont
[94] jgalt485
[91] 55bellechasse
[90] bien
[89] c'est
[88] ce
[82] plus

Top Words in Tweet in G2:
[405] covid
[381] cdcgov
[249] #covid19
[229] long
[160] conditions
[150] aged
[132] people
[130] infection
[127] anyone
[127] pcc

Top Words in Tweet in G3:
[261] julienm__
[258] injections
[258] vaccins
[258] d'arnm
[258] sont
[258] l'allemagne
[258] déclare
[258] plus
[258] meurtriers
[258] l'histoire

Top Words in Tweet in G4:
[14] virus
[14] breezergalway
[14] mcfunny
[14] abridgen
[13] takethatct
[12] ncov
[12] isolation
[12] 2019
[12] pcr
[11] claushetting

Top Words in Tweet in G5:
[215] shomburg
[200] impfeffizienz
[199] trick
[198] rki_de
[198] immer
[198] benutzt
[198] erklärt
[198] tweet
[198] warum
[198] trotz

Top Words in Tweet in G6:
[243] covid
[146] 19
[144] ncov
[121] 2019
[92] 1人
[86] cases
[80] deaths
[79] increase
[79] inc
[79] recombinomics

Top Words in Tweet in G7:
[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] 妊娠中のコロナワクチン接種は安全で有効
[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
[59] 코로나19
[48] 勤労福祉会館
[40] 13
[38] 가용병상
[38] 병상
[38] 보유병상

Top Words in Tweet in G8:
[670] casos
[343] informe
[336] #covid_19
[335] activos
[335] diario
[335] nuevos
[335] 64
[324] ministeriosalud
[295] registrados
[295] fallecidos

Top Words in Tweet in G9:
[597] co
[452] 詳細
[452] 現在の入院者数
[452] 本日の死亡者
[452] 検査前で症状がある方
[452] 本日の新規陽性者数
[452] qnzux8c1z3
[452] うち重症者
[452] #新型コロナウイルス感染症情報
[443] ibaraki_kouhou

Top Words in Tweet in G10:
[159] covid
[141] long
[87] vigilantfox
[77] dowdedward
[73] test
[71] medical
[71] patients
[70] based
[70] diagnosis
[68] iwillfactcheck_

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[589] covid,19
[452] qnzux8c1z3,検査前で症状がある方
[452] 詳細,co
[452] co,qnzux8c1z3
[443] ibaraki_kouhou,#新型コロナウイルス感染症情報
[397] long,covid
[359] 2名,本日の死亡者
[359] うち重症者,2名
[349] 検査前で症状がある方,検査で陽性と判
[335] informe,diario

Top Word Pairs in Tweet in G1:
[56] fda,cdc
[55] depuis,déploiement
[55] consults,avc
[55] bien,fda
[55] avc,nhs
[55] ont,25
[55] cdc,affirment
[55] nhs,ont
[55] déploiement,bien
[55] affirment,qu'il

Top Word Pairs in Tweet in G2:
[228] long,covid
[159] covid,conditions
[126] experience,covid
[126] conditions,pcc
[126] covid,infection
[126] infection,people
[126] anyone,#covid19
[126] pcc,long
[126] #covid19,experience
[125] cdcgov,anyone

Top Word Pairs in Tweet in G3:
[258] sont,vaccins
[258] d'arnm,sont
[258] vaccins,plus
[258] injections,d'arnm
[258] meurtriers,l'histoire
[258] l'allemagne,déclare
[258] plus,meurtriers
[258] déclare,injections
[257] julienm__,l'allemagne
[36] monde,d'accord

Top Word Pairs in Tweet in G4:
[11] 2019,ncov
[9] breezergalway,abridgen
[7] abridgen,takethatct
[7] indicate,presence
[7] agent,clinical
[7] detection,viral
[7] 38,detection
[7] viral,rna
[7] infectious,virus
[7] tell,finds

Top Word Pairs in Tweet in G5:
[198] warum,trotz
[198] angesprochenen,trick
[198] immer,mehr
[198] trotz,sagenhafter
[198] benutzt,rki_de
[198] impfeffizienz,immer
[198] rki_de,erklärt
[198] sagenhafter,impfeffizienz
[198] tweet,angesprochenen
[198] trick,benutzt

Top Word Pairs in Tweet in G6:
[131] covid,19
[119] 2019,ncov
[79] recombinomics,inc
[79] cases,increase
[79] ncov,recombinomics
[78] covid,cases
[24] learn,more
[24] coronavirus,2019
[21] sars,cov
[18] 19,vaccines

Top Word Pairs in Tweet in G7:
[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
[38] 병상,가동률
[33] 동절기,추가접종
[33] 코로나19,국내
[33] 本日のコロナワクチン接種会場,本日
[33] 기초,접종
[33] 추가접종,13
[33] 국내,현황

Top Word Pairs in Tweet in G8:
[335] casos,activos
[335] diario,#covid_19
[335] informe,diario
[335] casos,nuevos
[322] ministeriosalud,informe
[295] registrados,64
[295] fallecidos,registrados
[262] #covid_19,marzo
[146] activos,fallecidos
[47] nuevos,392

Top Word Pairs in Tweet in G9:
[452] 詳細,co
[452] qnzux8c1z3,検査前で症状がある方
[452] co,qnzux8c1z3
[443] ibaraki_kouhou,#新型コロナウイルス感染症情報
[359] 2名,本日の死亡者
[359] うち重症者,2名
[349] 検査前で症状がある方,検査で陽性と判
[197] 本日の死亡者,1名
[197] 1名,詳細
[148] 0名,詳細

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

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jgalt485
@blue_ncov
@yvespdb
@drelidavid
@julienm__
@ludovicodiot
@colonghorn
@leftychris2
@roper_lab

Top Replied-To in G1:
@_2019_ncov
@jgalt485
@yvespdb
@ludovicodiot
@julienm__
@55bellechasse
@marilynnemeur
@don_quichoute
@piochel4
@le__general_0ff

Top Replied-To in G2:
@cdcgov
@timothypsmith7
@overtonborehole
@shiralurie
@littleblueinwv
@travoltage1
@jevnederek
@jhgage1
@walling_b

Top Replied-To in G3:
@_2019_ncov
@alitrab09339993
@charliedaniel06
@binocularing

Top Replied-To in G4:
@leftychris2
@breezergalway
@iancopeland5
@lisamaroz
@handmadekathy
@tyronepenning
@giveabjgotojail
@speaking4m
@hodlchicken
@claushetting

Top Replied-To in G5:
@shomburg
@caliphberlin
@peter_hummel
@anja_runge
@sylk1966

Top Replied-To in G6:

Top Replied-To in G8:
@rosamartel10
@hercubgar
@jconchac
@ministeriosalud

Top Replied-To in G10:
@vigilantfox
@mpc_xetts
@jason_willz1
@booyakashan1
@jamiesale
@anorthantsfan
@wiegraffollez
@rt7683
@lynnashton12
@sibylle_berlin

Top Mentioned
Top Mentioned in Entire Graph:
@ibaraki_kouhou
@cdcgov
@ministeriosalud
@julienm__
@_2019_ncov
@shomburg
@rki_de
@tatiann69922625
@chibaken_kouhou
@mph_for_doctors

Top Mentioned in G1:
@_2019_ncov
@tatiann69922625
@yvespdb
@55bellechasse
@higuerolucien
@don_quichoute
@jgalt485
@verity_france
@philippemurer
@hervehannoun

Top Mentioned in G2:
@cdcgov
@laurie_garrett
@hhs_ash
@iaqadvocates
@vdhgov
@us_fda
@flsurgeongen
@ncdhhs
@thephysicsgirl
@cdctobaccofree

Top Mentioned in G3:
@julienm__
@ernestociesco
@jaimehorta17
@louan07
@tatiann69922625
@planetes360
@_2019_ncov
@gabinjean3
@lapinkres
@nova153

Top Mentioned in G4:
@abridgen
@takethatct
@mcfunny
@doritmi
@skepticalmutant
@breezergalway
@claushetting
@monstercoyliar
@kathmarval
@provaxtexan

Top Mentioned in G5:
@shomburg
@rki_de
@m_grill
@ndr
@caliphberlin
@fietedp
@cla87503461
@louan07
@ernestociesco
@jaimehorta17

Top Mentioned in G6:
@hanssars8
@aureliobelandom
@zyrofoxtrot
@miguelh56857253
@refust

Top Mentioned in G7:
@mph_for_doctors
@hellopolicy
@funwari_fuwari
@kenko_de_nerima
@koreadca
@nerima_tokyo
@a5p7wzrnuhkmuun
@rokusyourenn
@koguchiyoko
@konmei30

Top Mentioned in G8:
@ministeriosalud
@sanidadgob
@cdcespanol
@astursalud
@mevacuno
@rodolfocarter
@pifermu

Top Mentioned in G9:
@ibaraki_kouhou
@chibaken_kouhou
@hiroshima_pref
@funwari_fuwari
@ooaminavi

Top Mentioned in G10:
@vigilantfox
@dowdedward
@iwillfactcheck_
@nnk1776
@drjamesolsson
@shevi_sloane
@jamiesale
@james_taylor83
@drpaulmarik1
@sethdav38190861

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@jurylady5
@matiere
@sippomagari
@lizditz
@personalfitnes3
@sonialavera
@kokusizu2
@limportant_fr

Top Tweeters in G1:
@threadreaderapp
@limportant_fr
@altai_armande
@bfmtv
@mazenod10
@yvespdb
@danubaud
@talullabellefle
@william85837998
@lemondefr

Top Tweeters in G2:
@jurylady5
@theresamax
@adekleine
@billieo2
@manchuriandevil
@tyberzannxxxx
@jodotcom
@barbiewithatude
@wtf_imtooold
@didifrench

Top Tweeters in G3:
@franckylarafale
@pvalsfr
@grobisr
@frederiquerinc1
@mydaphne
@saraart4
@gateta30
@anne_morantin
@chantalrobertet
@ehavet

Top Tweeters in G4:
@lizditz
@doritmi
@fillmorewhite
@_mamadeb
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@angryfleas
@frankdelia7

Top Tweeters in G5:
@vertig0nix
@berlinaffaires
@witzigwalter
@kamaref
@schwester_gk
@milkrun
@elisabethtobler
@bohmesibyll
@spaeterrebell
@olejanson

Top Tweeters in G6:
@matiere
@personalfitnes3
@npsusa
@tian_a1
@didaclopez
@aureliobelandom
@takapon_jp
@irlandia
@gate_15_analyst
@andreasboos

Top Tweeters in G7:
@kokusizu2
@otakutokkai
@gooochin
@paku
@nerimabot2
@mark__lp
@d2n5q4gciztsa2e
@nancy_moon_1789
@onituka
@isodin_sf5

Top Tweeters in G8:
@dragontauro
@937908mcm
@turkiantof
@manolo67554861
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana
@vicentelozadab
@clare1959

Top Tweeters in G9:
@shintochigi1
@takayan309
@atsushi48shm410
@mutoh_z
@moriai8
@tsuka_kazunee
@turututukotokot
@tanimoshinden
@afla_war
@nonmomi

Top Tweeters in G10:
@drhrose
@todomejorqenada
@alwaysthemama
@margaretaugrad
@kpod1952
@flatwalk
@somedaygirl
@rynoratboydiane
@evelyn31721
@vastwritewing


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