NCoV, Twitter, 3/10/2023 10:19:57 AM, 290789


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NCoV_2023-03-10_02-08-55.xlsx
NCoV_2023-03-10_02-08-55.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 10, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3JqpJi1
@_2019_ncov
@cdcgov
@elonmusk
@thrsemary1
@storiesofinjury
@leelasik
@djokernole
@potus
@julienm__
@ptcjoneses

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

Description:
Description
The graph represents a network of 4,922 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 1150-day, 13-hour, 35-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Friday, 10 March 2023 at 00:53 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 : 4922
Unique Edges : 4765
Edges With Duplicates : 14083
Total Edges : 18848
Number of Edge Types : 9
Retweet : 2842
MentionsInRetweet : 4730
Replies to : 2258
MentionsInReplyTo : 6930
Quote : 100
MentionsInQuoteReply : 612
Tweet : 693
Mentions : 204
MentionsInQuote : 479
Self-Loops : 1181
Reciprocated Vertex Pair Ratio : 0.0507718282682103
Reciprocated Edge Ratio : 0.0966372087685068
Connected Components : 536
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 2680
Maximum Edges in a Connected Component : 12332
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.970918
Graph Density : 0.00035972675464538
Modularity : 0.411107
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,922 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 1150-day, 13-hour, 35-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Friday, 10 March 2023 at 00:53 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:
[437] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[279] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[127] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[123] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[116] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[47] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[40] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[31] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[27] https://ncov.kdca.go.kr/

Top URLs in Tweet in G1:
[15] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[12] https://twitter.com/sispeo77/status/1633565619369959424/photo/1
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[3] https://threadreaderapp.com/thread/1633401824924295169.html
[3] https://twitter.com/dragonduclos/status/1633208954091102208?s=46&t=v20ijNDNvW0g2pzrfoclbw
[3] https://twitter.com/Pito843/status/1633015960016756736/photo/1
[3] https://www.assemblee-nationale.fr/dyn/15/textes/l15b1118_proposition-loi
[2] https://twitter.com/Merkaba72/status/1633414724598497280?s=20
[2] https://twitter.com/Merkaba72/status/1633410341148164096?s=20
[2] https://twitter.com/UPR_Asselineau/status/1633055588841127936/photo/1

Top URLs in Tweet in G2:
[262] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[4] https://twitter.com/NaraShi13876794/status/1537914796019855361/photo/1
[2] https://twitter.com/NaraShi13876794/status/1537417825035464704
[2] https://twitter.com/NaraShi13876794/status/1509663560590557186/video/1
[1] https://newspunch.com/bill-gates-arrest-warrant-issued-in-philippines-for-premeditated-murder-linked-to-vaccine-roll-out/
[1] https://pharmafiles.substack.com/p/did-the-shit-just-hit-the-fan-in
[1] https://twitter.com/Louan07/status/1631970064940277760/photo/1
[1] https://twitter.com/Granma78593119/status/1628018678666260485/photo/1
[1] https://twitter.com/Granma78593119/status/1627846584846417920/photo/1
[1] https://twitter.com/granma78593119/status/1628018678666260485?s=46&t=24JN55GzY-V5uCLqzMvSzQ

Top URLs in Tweet in G3:
[11] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html#:~:text=Health%20conditions&text=Some%20people%2C%20especially%20those%20who,kidney%2C%20skin%2C%20and%20brain
[2] http://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html
[1] https://twitter.com/CDCgov/status/1632773120170901504/photo/1
[1] https://twitter.com/CDCgov/status/1626695515906756622/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/post-covid-conditions.html
[1] https://twitter.com/CDCgov/status/1630247675869159424/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html?fbclid=IwAR0lWcuynClwCRbU7-b-Va1KcoAPh8yed28jGXGLxR_xKy2lpXS04DpUhWg#Adults
[1] https://twitter.com/CDCgov/status/1629209615131975680/photo/1

Top URLs in Tweet in G4:
[3] 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
[2] https://twitter.com/DiggerDiggsy/status/1632886104964874240/photo/1
[1] https://www.fda.gov/media/134922/download#page38
[1] https://twitter.com/GeneralTwattery/status/1631563157570240512/photo/1
[1] https://aspr.hhs.gov/SNS/Pages/SNS-held-N95-Respirators.aspx
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/respirators-strategy/index.html
[1] https://twitter.com/hackthistweet/status/1632343149250215939/photo/1
[1] https://apnews.com/article/fact-check-fda-study-pfizer-vaccine-clots-587841121464

Top URLs in Tweet in G5:
[20] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_661_COVID-19.pdf
[15] 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
[4] https://twitter.com/LancetRespirMed/status/1633410600280772611/photo/1
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230210.pdf
[3] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230217.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_20230224.pdf
[3] https://twitter.com/MedicalScitech/status/1633492961353662464/photo/1

Top URLs in Tweet in G6:
[115] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[26] https://ncov.kdca.go.kr/
[20] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[9] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[8] 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
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[4] https://twitter.com/ooaminavi/status/1631089908067729409/photo/1
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/status.html

Top URLs in Tweet in G7:
[15] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[7] https://www.cdc.gov/coronavirus/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/testing/self-testing.html?utm_source=TWITTER
[5] 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/1631986826562109440/photo/1

Top URLs in Tweet in G8:
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[3] https://twitter.com/mjtimber2/status/1633416497338150912/photo/1
[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
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G9:
[433] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[119] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[112] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[15] https://twitter.com/hiroshima_pref/status/1633018395603120128/photo/1
[10] 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
[1] https://twitter.com/Ibaraki_Kouhou/status/1633728652063166465/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1631562117592784897/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1631186065276162048/photo/1

Top URLs in Tweet in G10:
[3] https://www.cdc.gov/coronavirus/2019-ncov/downloads/global-covid-19/Interim-Operational-Considerations-Implementing-Shielding-in-Humanitarian-Settings.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://twitter.com/nukakdad/status/1632195748434690049
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html?s_cid=10509:side%20effects%20to%20the%20vaccine:sem.ga:p:RG:GM:gen:PTN:FY21
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html#:~:text=People%20who%20are%20vaccinated%20with,on%20their%20COVID%2D19%20vaccines

Top Domains
Top Domains in Tweet in Entire Graph:
[975] twitter.com
[783] cdc.gov
[456] ibaraki.jp
[290] lg.jp
[280] newspunch.com
[96] recombinomics.co
[77] tokyo.jp
[53] gob.es
[51] who.int
[35] go.kr

Top Domains in Tweet in G1:
[198] twitter.com
[15] youtube.com
[15] newspunch.com
[13] threadreaderapp.com
[6] pgibertie.com
[4] t.me
[4] crashdebug.fr
[3] assemblee-nationale.fr
[2] bonsens.info
[2] news-assurances.com

Top Domains in Tweet in G2:
[263] newspunch.com
[20] twitter.com
[3] translate.goog
[2] cdc.gov
[1] substack.com
[1] facebook.com
[1] crowdbunker.com
[1] gds.it

Top Domains in Tweet in G3:
[42] cdc.gov
[29] twitter.com
[1] reuters.com
[1] bvsalud.org
[1] audacy.com
[1] youtube.com

Top Domains in Tweet in G4:
[14] cdc.gov
[8] twitter.com
[1] fda.gov
[1] hhs.gov
[1] apnews.com
[1] nih.gov
[1] whitehouse.gov
[1] ed.gov
[1] vnanet.vn

Top Domains in Tweet in G5:
[48] gob.es
[45] twitter.com
[16] minsal.cl
[2] thelancet.com
[2] cdc.gov
[2] publichealthontario.ca

Top Domains in Tweet in G6:
[115] cdc.gov
[53] tokyo.jp
[33] twitter.com
[27] go.kr
[24] lg.jp
[1] bmj.com

Top Domains in Tweet in G7:
[150] twitter.com
[117] cdc.gov
[96] recombinomics.co
[15] lg.jp
[12] ibaraki.jp
[12] nytimes.com
[10] go.jp
[9] nih.gov
[8] amazon.it
[8] docguide.com

Top Domains in Tweet in G8:
[24] cdc.gov
[19] twitter.com
[3] pnas.org
[3] biorxiv.org
[3] com.au
[2] archive.org
[1] dailyclout.io
[1] thelancet.com
[1] gov.uk
[1] sciencedirect.com

Top Domains in Tweet in G9:
[444] ibaraki.jp
[232] lg.jp
[36] twitter.com
[8] catapoke.com

Top Domains in Tweet in G10:
[6] cdc.gov
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[432] 新型コロナウイルス感染症情報
[368] covid_19
[338] covid19
[24] covid
[24] 練馬区
[24] 新型コロナ
[23] 広島県
[20] coronavirus
[20] 코로나19
[20] 예방접종



Top Hashtags in Tweet in G1:
[3] blackblocs
[3] boycottpalaisdetokyo
[3] pfizer
[2] merck
[2] gardasil
[2] soral
[2] macronletraitre
[2] mckinsey
[2] covid
[1] otan

Top Hashtags in Tweet in G2:
[2] newagenda2023
[2] powertothepeople
[2] wef
[1] apprehension
[1] prosecution
[1] and
[1] execution
[1] of
[1] evil
[1] rulers

Top Hashtags in Tweet in G3:
[260] covid19
[2] longcovid
[2] deltavariant
[1] makeaplannc
[1] booster

Top Hashtags in Tweet in G4:
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet

Top Hashtags in Tweet in G5:
[367] covid_19
[17] covid1
[16] covid19
[10] coronavirus
[8] yomevacunoseguro
[6] vacunacovid19
[6] vacunación
[6] asturias
[4] asturies
[2] covid

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

Top Hashtags in Tweet in G7:
[23] covid19
[12] covid
[8] longcovid
[8] cdc
[5] test
[5] sars8
[5] 2019_ncov
[5] sarscov19
[4] sleeveup
[3] rapido

Top Hashtags in Tweet in G8:
[1] covid
[1] vaccine
[1] longcovid
[1] mecfs
[1] pots
[1] smallfiber

Top Hashtags in Tweet in G9:
[432] 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 G10:
[2] cdc
[2] fema
[2] covid
[2] camps

Top Words
Top Words in Tweet in Entire Graph:
[1255] covid
[1220] _2019_ncov
[732] casos
[653] co
[587] 19
[432] qnzux8c1z3
[432] 本日の新規陽性者数
[432] 検査前で症状がある方
[432] 現在の入院者数
[432] 本日の死亡者

Top Words in Tweet in G1:
[987] _2019_ncov
[169] yvespdb
[162] 55bellechasse
[162] jgalt485
[131] ce
[128] c'est
[106] ils
[106] plus
[103] ça
[99] sont

Top Words in Tweet in G2:
[274] julienm__
[265] plus
[263] sont
[263] l'allemagne
[262] déclare
[262] meurtriers
[262] injections
[262] vaccins
[262] l'histoire
[262] d'arnm

Top Words in Tweet in G3:
[328] covid
[283] cdcgov
[260] #covid19
[157] people
[152] aged
[152] long
[142] conditions
[136] infection
[134] pcc
[133] anyone

Top Words in Tweet in G4:
[13] mcfunny
[11] claushetting
[10] skepticalmutant
[10] monstercoyliar
[10] doritmi
[10] test
[8] tomsirolimus
[8] jimeeliberty
[8] idunsdaughter
[8] consequentialbr

Top Words in Tweet in G5:
[732] casos
[374] informe
[367] #covid_19
[366] 64
[366] diario
[366] activos
[366] nuevos
[363] fallecidos
[363] registrados
[354] marzo

Top Words in Tweet in G6:
[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
[63] 練馬区
[58] 코로나19
[52] funwari_fuwari
[41] 勤労福祉会館
[40] 13
[37] 동절기

Top Words in Tweet in G7:
[237] covid
[165] ncov
[138] 2019
[129] 19
[103] cases
[96] increase
[96] inc
[96] recombinomics
[93] deaths
[85] 1人

Top Words in Tweet in G8:
[184] covid
[141] long
[89] vigilantfox
[75] dowdedward
[73] test
[71] patients
[70] medical
[70] based
[70] diagnosis
[68] iwillfactcheck_

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

Top Words in Tweet in G10:
[10] againmothra
[10] royqhobbs
[10] synyster63
[10] tip_ct
[10] vincegottalotta
[10] chuckychuckles1
[9] ksliberal
[9] lukeso20
[9] 8brianvogel4
[9] dirk_fasshauer

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

Top Word Pairs in Tweet in G1:
[68] alainhoupert,jeanyvescapo
[68] basphilippe,yvespdb
[67] jeanyvescapo,tvlcampagnol
[62] tvlcampagnol,verity_france
[58] verity_france,jgalt485
[55] 55bellechasse,basphilippe
[54] yvespdb,alainhoupert
[51] rrrrgerard,55bellechasse
[39] don_quichoute,higuerolucien
[38] jgalt485,yvespdb

Top Word Pairs in Tweet in G2:
[262] d'arnm,sont
[262] l'allemagne,déclare
[262] déclare,injections
[262] sont,vaccins
[262] meurtriers,l'histoire
[262] plus,meurtriers
[262] vaccins,plus
[262] injections,d'arnm
[261] julienm__,l'allemagne
[38] tout,monde

Top Word Pairs in Tweet in G3:
[151] long,covid
[141] covid,conditions
[132] anyone,#covid19
[132] infection,people
[132] experience,covid
[132] conditions,pcc
[132] pcc,long
[132] covid,infection
[132] #covid19,experience
[131] cdcgov,anyone

Top Word Pairs in Tweet in G4:
[6] nicoleg425,shina20269455
[6] zeetubesii,aspalaasnasntyr
[6] incitatusalpha,kevinault
[6] nicky111lady,reacharoundu
[6] idunsdaughter,zeetubesii
[6] reacharoundu,doritmi
[6] tarsins,idunsdaughter
[6] aspalaasnasntyr,incitatusalpha
[6] doritmi,kberkopes
[4] monstercoyliar,consequentialbr

Top Word Pairs in Tweet in G5:
[366] casos,nuevos
[366] informe,diario
[366] casos,activos
[366] diario,#covid_19
[363] registrados,64
[363] fallecidos,registrados
[352] #covid_19,marzo
[351] ministeriosalud,informe
[160] activos,fallecidos
[56] activos,19

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] 코로나19,국내
[34] 국내,현황
[33] 접종,86
[33] 13,기초
[33] 기초,접종
[33] 추가접종,13
[33] 0시,기준

Top Word Pairs in Tweet in G7:
[135] 2019,ncov
[114] covid,19
[96] recombinomics,inc
[96] cases,increase
[96] ncov,recombinomics
[94] covid,cases
[20] sars,cov
[19] learn,more
[19] coronavirus,2019
[18] 19,vaccines

Top Word Pairs in Tweet in G8:
[141] long,covid
[73] vigilantfox,dowdedward
[70] covid,diagnosis
[70] medical,test
[70] test,long
[70] based,patients
[70] diagnosis,based
[69] dowdedward,long
[69] covid,medical
[68] patients,compla

Top Word Pairs in Tweet in G9:
[432] 詳細,co
[432] qnzux8c1z3,検査前で症状がある方
[432] co,qnzux8c1z3
[422] ibaraki_kouhou,#新型コロナウイルス感染症情報
[330] 2名,本日の死亡者
[330] うち重症者,2名
[266] 検査前で症状がある方,検査で陽性と判
[249] 本日の死亡者,1名
[249] 1名,詳細
[119] 本日の感染者はコチラ,co

Top Word Pairs in Tweet in G10:
[8] soulnature9,juliemu36442360
[8] realkyleewright,natural_femme
[8] woodcutterbrian,resistenzanow
[8] fwe1991,realkyleewright
[8] ghost_of_tick,fwe1991
[8] natural_femme,soulnature9
[8] littlwritergir1,roylovesamerica
[8] wanderinglord,bigteethyouhave
[8] resistenzanow,peregrinepfp
[8] slim90866101,42gnome

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

Top Replied-To in G1:
@_2019_ncov
@jgalt485
@yvespdb
@55bellechasse
@piochel4
@ludovicodiot
@sitting_bull_d
@marilynnemeur
@6_genre
@verity_france

Top Replied-To in G2:
@_2019_ncov
@julienm__
@louan07
@gabinjean3
@vldkrcan
@beauntel
@cartesyvet
@micheljeandomi1
@opale76
@michelbeziat1

Top Replied-To in G3:
@fredtopel
@warreneducators
@nbdabrowski
@timothypsmith7
@shiralurie
@littleblueinwv
@travoltage1
@jevnederek
@jhgage1
@walling_b

Top Replied-To in G4:
@lisamaroz
@mcfunny
@handmadekathy
@tyronepenning
@paulhud32059570
@speaking4m
@generaltwattery
@leftychris2
@paulap873
@breezergalway

Top Replied-To in G5:
@jconchac
@ministeriosalud

Top Replied-To in G8:
@vigilantfox
@booyakashan1
@jamiesale
@mjtimber2
@anorthantsfan
@wiegraffollez
@rt7683
@sibylle_berlin
@kittykat99
@alexzwitter2

Top Replied-To in G10:
@chuckychuckles1
@giddy_bunny
@izmks44
@educatingtrump2
@lietdansnewlegs
@skeeduu
@dirk_fasshauer
@pistonsluvr

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

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

Top Mentioned in G2:
@julienm__
@jaimehorta17
@louan07
@ernestociesco
@_2019_ncov
@rasekrasek
@tatiann69922625
@yvespdb
@cab2626
@planetes360

Top Mentioned in G3:
@cdcgov
@valeriejay16
@hhs_ash
@vdhgov
@meetjess
@us_fda
@repthomasmassie
@flsurgeongen
@ncdhhs
@thephysicsgirl

Top Mentioned in G4:
@mcfunny
@claushetting
@monstercoyliar
@skepticalmutant
@doritmi
@richykirsh
@maureenstroud
@wendyorent
@tonybaduy
@scary7dr

Top Mentioned in G5:
@ministeriosalud
@sanidadgob
@cdcespanol
@astursalud
@lancetrespirmed
@rodolfocarter
@pifermu

Top Mentioned in G6:
@mph_for_doctors
@funwari_fuwari
@hellopolicy
@kenko_de_nerima
@koreadca
@konmei30
@chibaken_kouhou
@ooaminavi

Top Mentioned in G7:
@hanssars8
@miguelh56857253
@fourthdose
@refust

Top Mentioned in G8:
@vigilantfox
@dowdedward
@iwillfactcheck_
@sharkzfanz
@bambkb
@thisuserismad
@yeahnaa333
@jason_willz1
@shevi_sloane
@jamiesale

Top Mentioned in G9:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou
@kashiwacasc

Top Mentioned in G10:
@synyster63
@vincegottalotta
@royqhobbs
@againmothra
@tip_ct
@treathunterdog
@8brianvogel4
@lukeso20
@ksliberal
@thereseosulliv2

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

Top Tweeters in G1:
@threadreaderapp
@limportant_fr
@altai_armande
@bo_chart
@bfmtv
@mazenod10
@ladevita12
@yvespdb
@danubaud
@talullabellefle

Top Tweeters in G2:
@franckylarafale
@pvalsfr
@grobisr
@frederiquerinc1
@mydaphne
@gateta30
@chantalrobertet
@ehavet
@carmenacoleman
@cazmariani

Top Tweeters in G3:
@katcapps
@manchuriandevil
@tyberzannxxxx
@wtf_imtooold
@didifrench
@btsarmy_legit
@thinkkimthink
@celestebyrne3
@saffiya_khan1
@time

Top Tweeters in G4:
@lizditz
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@angryfleas
@frankdelia7
@naomirwolf
@nockit1

Top Tweeters in G5:
@937908mcm
@turkiantof
@manolo67554861
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana
@vicentelozadab
@clare1959
@francis08653864

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

Top Tweeters in G7:
@matiere
@personalfitnes3
@npsusa
@drunkunclep
@didaclopez
@irlandia
@gate_15_analyst
@andreasboos
@bettycjung
@andreastoolbox

Top Tweeters in G8:
@drhrose
@todomejorqenada
@kpod1952
@flatwalk
@healthcareglob1
@somedaygirl
@rynoratboydiane
@evelyn31721
@standforright
@loudproudtexan

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

Top Tweeters in G10:
@thereseosulliv2
@vickie627
@silverkait
@vincegottalotta
@ladyoftheocean1
@kleeontheright
@42gnome
@middlemolly
@deplorablenew
@fwe1991