NCoV, Twitter, 3/16/2023 10:40:40 AM, 291343


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NCoV_2023-03-16_03-28-17.xlsx
NCoV_2023-03-16_03-28-17.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 16, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3mQr60x
@_2019_ncov
@cdcgov
@stevebigpond
@lawrencegostin
@aubreyel1
@nypost
@who
@kevin_mckernan
@ptcjoneses
@takethatct

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#alexandre
#hepatiteautoimune
#covid
#dyk
#coronavirus
#코로나19

Description:
Description
The graph represents a network of 4,465 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1158-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Thursday, 16 March 2023 at 00:00 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 : 4465
Unique Edges : 4024
Edges With Duplicates : 14561
Total Edges : 18585
Number of Edge Types : 9
MentionsInReplyTo : 6833
MentionsInQuoteReply : 604
Replies to : 2667
Retweet : 2591
MentionsInRetweet : 4833
Mentions : 194
Tweet : 528
MentionsInQuote : 238
Quote : 97
Self-Loops : 957
Reciprocated Vertex Pair Ratio : 0.042306723747167
Reciprocated Edge Ratio : 0.081179028750906
Connected Components : 402
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 2578
Maximum Edges in a Connected Component : 13631
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.13623
Graph Density : 0.000415317061814912
Modularity : 0.372277
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,465 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1158-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Thursday, 16 March 2023 at 00:00 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:
[332] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[313] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[101] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[91] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[85] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[28] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[21] https://ncov.kdca.go.kr/
[20] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html

Top URLs in Tweet in G1:
[8] https://twitter.com/ChomEnterprise/status/1634968727518314497/photo/1
[7] https://twitter.com/marcelalann/status/1634268776488226827/photo/1
[5] https://twitter.com/scribot_ai/status/1635558160415989760/video/1
[4] https://twitter.com/scribot_ai/status/1636075235463053312/video/1
[4] https://twitter.com/scribot_ai/status/1634986149625118721/video/1
[4] https://twitter.com/scribot_ai/status/1634949262898331650/video/1
[4] https://twitter.com/CEMizback/status/1635568837968945152/photo/1
[4] https://twitter.com/m38cds/status/1634840782615248901/photo/1
[4] https://twitter.com/barbouillech/status/1625859344104574976/photo/1
[3] https://twitter.com/Dus_Pascal/status/1634504936883879936/video/1

Top URLs in Tweet in G2:
[3] https://threadreaderapp.com/thread/1634470350036647936.html
[2] https://twitter.com/PR93095542/status/1581679610882068481/photo/1
[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/1
[1] https://twitter.com/_2019_nCoV/status/1634470350036647936
[1] https://twitter.com/threadreaderapp/status/1635588134472695808
[1] https://korybko.substack.com/p/georgias-withdrawal-of-its-us-inspired?utm_source=post-email-title&publication_id=835783&post_id=107373926&isFreemail=true&utm_medium=email
[1] https://t.me/disclosetv/10802
[1] https://twitter.com/senseurfr/status/1634331550731972611?s=46&t=pHq9lcTxGagxGuS462Ga8A
[1] https://twitter.com/threadreaderapp/status/1635720075456938014
[1] https://twitter.com/jgalt485/status/1634976397994360833/video/1

Top URLs in Tweet in G3:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://twitter.com/CCTHD4/status/1635303592818008064/photo/1
[2] https://twitter.com/FLSurgeonGen/status/1635442493591265285/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G4:
[307] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[87] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[85] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[19] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[8] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[8] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[6] https://www.catapoke.com/viewer/?open=62b3f
[6] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[6] https://twitter.com/funwari_fuwari/status/1633324053531611142
[5] https://www.city.imabari.ehime.jp/2019-nCoV/wakuchin/child/R04aki.html

Top URLs in Tweet in G5:
[4] https://twitter.com/_Jornal_Vitimas/status/1635800828920446985/photo/1
[4] https://twitter.com/_Jornal_Vitimas/status/1635714438266224649/photo/1
[1] https://www.sciencedirect.com/science/article/pii/S0168827822002343
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1534834
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://m.facebook.com/story.php?story_fbid=pfbid02MaDMWHpfg6miPGiaFNsv3XbLMcZR5SFc9pJQ6eu1C9z18Aa2nXtNAjycwFgVEE3el&id=100054554615592
[1] https://twitter.com/mpatriabrasil/status/1550805332150173696/photo/1
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1592211

Top URLs in Tweet in G6:
[7] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1636004324579868672/photo/1
[1] https://twitter.com/ministeriosalud/status/1634196702763556865/photo/1
[1] https://twitter.com/ministeriosalud/status/1634917158454165507/photo/1
[1] https://twitter.com/ministeriosalud/status/1635325538305974274/photo/1
[1] https://twitter.com/ministeriosalud/status/1635643315142967299/photo/1
[1] https://twitter.com/ministeriosalud/status/1634554770529632256/photo/1
[1] https://twitter.com/ministeriosalud/status/1633831155048017924/photo/1

Top URLs in Tweet in G7:
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-who-are-immunocompromised.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://mtlnk.net/j_s%253A%252F%252Fbit.ly%252F2M12ZdH
[4] https://twitter.com/RichmondCity_HD/status/1634269719216771080/photo/1
[4] https://twitter.com/RichmondCity_HD/status/1634268971540140041/photo/1
[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
[4] https://twitter.com/blurmyu/status/1634513785263357952/photo/1

Top URLs in Tweet in G8:
[10] https://www.science.org/doi/10.1126/science.abm4454
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[3] https://twitter.com/KeithEv84928885/status/1528351193998696450/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[2] https://twitter.com/CharlesRixey/status/1503243988270202881/photo/1
[1] https://www.researchgate.net/profile/Hitesh-Chopra-4/publication/368937746_AZD1222_ChAdOx1_nCoV-19_Vaccine_Hurdles_and_Visions/links/64016f060cf1030a5669d5cf/AZD1222-ChAdOx1-nCoV-19-Vaccine-Hurdles-and-Visions.pdf
[1] https://twitter.com/sanchak74/status/1634070773047459840/photo/1
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324311/
[1] https://palexander.substack.com/p/just-reading-this-paper-can-get-you?r=e49uo&utm_campaign=post&utm_medium=email
[1] https://harvardtothebighouse.com/2020/01/31/logistical-and-technical-analysis-of-the-origins-of-the-wuhan-coronavirus-2019-ncov/

Top URLs in Tweet in G9:
[324] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[95] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[20] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html
[4] https://twitter.com/departure46/status/1636117272648626176
[1] https://www3.nhk.or.jp/news/html/20230308/k10014001231000.html

Top URLs in Tweet in G10:
[2] https://www.youtube.com/watch?v=oA5yFD2hhYA&feature=youtu.be

[1] https://twitter.com/FRNCKT/status/1634444587065561090
[1] https://twitter.com/CerfiaFR/status/1633848867849650177
[1] https://twitter.com/EL_PatatorFR/status/1634256339068133376
[1] https://twitter.com/danubaud/status/1633791417150578689
[1] https://twitter.com/Piochel4/status/1634528478371495938/photo/1
[1] https://twitter.com/Piochel4/status/1634528033808809984
[1] https://twitter.com/IsabelleNuel/status/1634274055724449792
[1] https://twitter.com/Pirouette15/status/1634497883964620801
[1] https://twitter.com/PasNotreEurope/status/1633852643784409094

Top Domains
Top Domains in Tweet in Entire Graph:
[1318] twitter.com
[554] cdc.gov
[327] ibaraki.jp
[209] lg.jp
[54] go.jp
[51] who.int
[45] nih.gov
[44] recombinomics.co
[36] tokyo.jp
[32] gob.es

Top Domains in Tweet in G1:
[333] twitter.com
[16] youtube.com
[4] touscontribuables.org
[3] pgibertie.com
[2] theepochtimes.com
[2] nouvelobs.com
[2] gouv.fr
[2] bfmtv.com
[2] t.me
[2] francesoir.fr

Top Domains in Tweet in G2:
[49] twitter.com
[11] threadreaderapp.com
[6] crashdebug.fr
[2] bonsens.info
[2] lecourrierdesstrateges.fr
[2] francetvinfo.fr
[2] youtube.com
[1] substack.com
[1] t.me
[1] cdc.gov

Top Domains in Tweet in G3:
[42] cdc.gov
[32] twitter.com
[1] wired.com
[1] bvsalud.org
[1] nih.gov
[1] who.int

Top Domains in Tweet in G4:
[315] ibaraki.jp
[189] lg.jp
[51] twitter.com
[29] tokyo.jp
[6] catapoke.com
[5] ehime.jp
[2] cdc.gov

Top Domains in Tweet in G5:
[9] twitter.com
[2] bvsalud.org
[1] sciencedirect.com
[1] cdc.gov
[1] facebook.com

Top Domains in Tweet in G6:
[7] minsal.cl
[7] twitter.com

Top Domains in Tweet in G7:
[99] twitter.com
[78] cdc.gov
[44] recombinomics.co
[13] go.jp
[12] ibaraki.jp
[11] lg.jp
[8] nytimes.com
[7] co.jp
[5] docguide.com
[5] who.int

Top Domains in Tweet in G8:
[31] twitter.com
[10] science.org
[10] who.int
[2] researchgate.net
[2] cdc.gov
[2] weebly.com
[1] nih.gov
[1] substack.com
[1] harvardtothebighouse.com
[1] bedford.io

Top Domains in Tweet in G9:
[328] twitter.com
[95] cdc.gov
[20] go.jp
[1] or.jp

Top Domains in Tweet in G10:
[17] twitter.com
[2] youtube.com
[1] caisse-solidarite.fr
[1] pas-notre-europe.eu

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[306] 新型コロナウイルス感染症情報
[276] covid_19
[175] covid19
[151] alexandre
[126] hepatiteautoimune
[38] covid
[25] dyk
[22] coronavirus
[17] 코로나19
[17] 예방접종



Top Hashtags in Tweet in G1:
[8] alexandre
[6] violencespolicieres
[4] covid_19
[4] déconstruction
[4] nonalareformedesretraites
[3] kiev
[3] donbass
[3] davosagenda
[3] soignants
[3] reformedesretraites

Top Hashtags in Tweet in G2:
[140] alexandre
[1] pfizer
[1] henrion
[1] alexandra
[1] retailleau
[1] chapeau
[1] blocagedelafrance
[1] reintegrezlessuspendus
[1] macronie
[1] malgréeux

Top Hashtags in Tweet in G3:
[127] covid19
[25] dyk
[25] covid
[5] longcovid
[1] impfung

Top Hashtags in Tweet in G4:
[306] 新型コロナウイルス感染症情報
[15] 練馬区
[11] 千葉県庁
[7] 新型コロナ
[6] 広島県
[5] ワクチン予約情報
[1] 茨城県

Top Hashtags in Tweet in G5:
[126] hepatiteautoimune
[1] bula
[1] pfizer

Top Hashtags in Tweet in G6:
[264] covid_19

Top Hashtags in Tweet in G7:
[18] covid19
[6] cdc
[3] 疫情防控
[3] 流感
[3] vaccines
[3] covid19vaccine
[3] mrna
[2] sleeveup
[2] wecandothis
[2] stopthespread

Top Hashtags in Tweet in G10:
[15] pasnotreeurope
[2] alexandre
[1] ilsveulentnousfairecrever
[1] dépopulation
[1] nouvelordremondial
[1] schiappa
[1] violencesconjugales
[1] covid

Top Words
Top Words in Tweet in Entire Graph:
[2264] _2019_ncov
[682] covid
[659] casos
[480] co
[403] 0名
[372] 19
[327] yvespdb
[308] 詳細
[306] qnzux8c1z3
[306] 本日の新規陽性者数

Top Words in Tweet in G1:
[1705] _2019_ncov
[264] c'est
[235] ce
[175] ils
[165] plus
[152] mais
[145] sont
[140] ça
[118] par
[114] tout

Top Words in Tweet in G2:
[355] _2019_ncov
[293] yvespdb
[153] 55bellechasse
[149] ses
[143] cet
[141] immonde
[140] fausseté
[140] ignorance
[140] vite
[140] démoniaque

Top Words in Tweet in G3:
[282] cdcgov
[180] covid
[158] long
[148] include
[145] symptoms
[144] common
[143] fatigue
[143] shortness
[143] brain
[143] passed

Top Words in Tweet in G4:
[416] co
[403] 0名
[307] 詳細
[306] qnzux8c1z3
[306] 本日の新規陽性者数
[306] #新型コロナウイルス感染症情報
[306] うち重症者
[306] 本日の死亡者
[306] 現在の入院者数
[299] ibaraki_kouhou

Top Words in Tweet in G5:
[254] meningite
[253] pesquisa
[253] vacina
[253] oms
[253] próprio
[253] site
[252] _jornal_vitimas
[128] uma
[127] mrna
[127] casos

Top Words in Tweet in G6:
[528] casos
[264] fallecidos
[264] 64
[264] #covid_19
[264] marzo
[264] nuevos
[264] informe
[264] activos
[264] registrados
[264] diario

Top Words in Tweet in G7:
[153] covid
[89] 19
[83] ncov
[82] 2019
[63] 1人
[46] cases
[44] recombinomics
[44] increase
[44] inc
[42] deaths

Top Words in Tweet in G8:
[29] dec
[27] 12
[20] 26
[20] paper
[20] jan
[19] notified
[18] timeline
[18] genome
[18] coronavirus
[17] days

Top Words in Tweet in G9:
[81] きちんとすべき時にはして
[81] 対策の原則は正しく理解して認め
[81] 個人の生活の中では柔軟に対応しましょう
[81] ということだと個人的には理解しています
[80] bar1star
[17] polaris_sky
[14] 5つの基本
[14] 日本の
[14] 一応書いておくと
[14] とそれほど変わらないんだけどね

Top Words in Tweet in G10:
[94] piochel4
[93] _2019_ncov
[59] 55bellechasse
[49] agretdenis
[49] anticor_org
[49] _samedi_
[46] ad_vitam44_
[46] alaindujardin6
[46] csapeforce
[40] andreabescond

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[306] 詳細,co
[306] co,qnzux8c1z3
[299] ibaraki_kouhou,#新型コロナウイルス感染症情報
[282] covid,19
[264] informe,diario
[264] casos,activos
[264] registrados,64
[264] diario,#covid_19
[264] casos,nuevos
[264] fallecidos,registrados

Top Word Pairs in Tweet in G1:
[52] _2019_ncov,jrmesari1
[52] jrmesari1,tronchebiais
[44] _2019_ncov,tronchebiais
[43] maccledou,_2019_ncov
[41] _2019_ncov,c'est
[37] bouip,boop
[37] centuriesoflies,_2019_ncov
[32] ils,sont
[32] _2019_ncov,bouip
[31] _2019_ncov,ils

Top Word Pairs in Tweet in G2:
[154] yvespdb,_2019_ncov
[140] _2019_ncov,cet
[140] fausseté,ignorance
[140] ignorance,vite
[140] immonde,démoniaque
[140] #alexandre,immonde
[140] démoniaque,fausseté
[140] cet,#alexandre
[140] vite,exorciste
[140] exorciste,ses

Top Word Pairs in Tweet in G3:
[154] long,covid
[143] fast,heartbeat
[143] breath,fast
[143] brain,fog
[143] shortness,breath
[143] common,symptoms
[143] include,fatigue
[143] heartbeat,brain
[143] fog,several
[143] several,weeks

Top Word Pairs in Tweet in G4:
[306] 詳細,co
[306] co,qnzux8c1z3
[299] ibaraki_kouhou,#新型コロナウイルス感染症情報
[255] 0名,詳細
[255] 本日の死亡者,0名
[254] qnzux8c1z3,検査前で症状がある方
[202] 検査前で症状がある方,検査で陽性と判
[158] うち重症者,1名
[158] 1名,本日の死亡者
[148] うち重症者,0名

Top Word Pairs in Tweet in G5:
[253] site,oms
[253] próprio,site
[127] uma,pesquisa
[127] meningite,segundo
[127] coincidência,próprio
[127] oms,uma
[127] mrna,casos
[127] relaciona,vacina
[127] vacina,mrna
[127] casos,meningite

Top Word Pairs in Tweet in G6:
[264] diario,#covid_19
[264] informe,diario
[264] casos,activos
[264] fallecidos,registrados
[264] registrados,64
[264] casos,nuevos
[257] ministeriosalud,informe
[117] nuevos,10
[93] activos,12
[93] 12,fallecidos

Top Word Pairs in Tweet in G7:
[86] covid,19
[75] 2019,ncov
[46] covid,cases
[44] recombinomics,inc
[44] cases,increase
[44] ncov,recombinomics
[15] coronavirus,2019
[13] learn,more
[9] sars,cov
[9] long,covid

Top Word Pairs in Tweet in G8:
[11] china,notified
[11] dec,31
[11] 31,mystery
[11] mystery,pneumonia
[11] notified,dec
[10] shared,genome
[10] jan,confirmed
[10] genome,december
[10] 26,january
[10] word,covishield

Top Word Pairs in Tweet in G9:
[81] 対策の原則は正しく理解して認め,きちんとすべき時にはして
[81] 個人の生活の中では柔軟に対応しましょう,ということだと個人的には理解しています
[81] きちんとすべき時にはして,個人の生活の中では柔軟に対応しましょう
[80] bar1star,対策の原則は正しく理解して認め
[14] 一応書いておくと,アメリカのコロナ対策は
[14] 5つの基本,とそれほど変わらないんだけどね
[14] 日本の,5つの基本
[14] アメリカのコロナ対策は,日本の
[13] atsushimiyahara,一応書いておくと
[11] 9日らしいので,マスク着用任意になって感染症が増えてくるとしたらそろそろかな

Top Word Pairs in Tweet in G10:
[51] 55bellechasse,_2019_ncov
[48] _2019_ncov,_samedi_
[46] _samedi_,ad_vitam44_
[43] anticor_org,csapeforce
[34] al_petel,alaindujardin6
[31] mamanslouves,gaelleml44
[27] gaelleml44,anticor_org
[26] andreabescond,mamanslouves
[26] agretdenis,_2019_ncov
[26] csapeforce,agretdenis

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@maccledou
@centuriesoflies
@jrmesari1
@christ24intern1
@yvespdb
@ludovicodiot
@nova153
@lrestistant73
@55bellechasse

Top Replied-To in G1:
@_2019_ncov
@maccledou
@centuriesoflies
@jrmesari1
@lrestistant73
@ludovicodiot
@nova153
@zippojeje
@hopperchef
@scribot_ai

Top Replied-To in G2:
@_2019_ncov
@christ24intern1
@yvespdb
@sitting_bull_d
@55bellechasse
@jgalt485
@rrrrgerard
@partageinfos
@crashdebug_fr
@basphilippe

Top Replied-To in G3:
@danaparish
@kevinha63905012
@paulbetbest
@dokhollidays
@anonykatz2210
@kenneth33071904
@dancalegria
@oopseedaisy123
@igrisikogruppe
@_muggly

Top Replied-To in G8:
@r_h_ebright
@therealrthorat
@robertc26440604
@rikirikiroo
@biophysicsfl
@peter_berghmans
@tonyhinton2016
@dr_handler
@romulus81212679
@gglinskii

Top Replied-To in G10:
@_2019_ncov
@piochel4
@limousinlibre
@annabellesamou
@qo_ideme6
@ducrocq58578460

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@yvespdb
@ibaraki_kouhou
@cdcgov
@ministeriosalud
@_jornal_vitimas
@55bellechasse
@chibaken_kouhou
@jeanyvescapo
@alainhoupert

Top Mentioned in G1:
@_2019_ncov
@tronchebiais
@jrmesari1
@centuriesoflies
@emmanuelmacron
@caudehenrion
@justintrudeau
@dr_l_alexandre
@yvespdb
@brunolemaire

Top Mentioned in G2:
@yvespdb
@_2019_ncov
@55bellechasse
@alainhoupert
@basphilippe
@jeanyvescapo
@sitting_bull_d
@rrrrgerard
@jgalt485
@tvlcampagnol

Top Mentioned in G3:
@cdcgov
@minorityhealth
@bag_ofsp_ufsp
@us_fda
@luckytran
@danaparish
@burkhardtphilip
@vdhgov
@igrisikogruppe
@flsurgeongen

Top Mentioned in G4:
@ibaraki_kouhou
@chibaken_kouhou
@hiroshima_pref
@funwari_fuwari
@kenko_de_nerima
@konmei30
@ooaminavi
@bar1star

Top Mentioned in G5:
@_jornal_vitimas

Top Mentioned in G6:
@ministeriosalud

Top Mentioned in G7:
@mama_melaleuca
@victorfran46

Top Mentioned in G8:
@sanchak74
@r_h_ebright
@michaelworobey
@chrismartenson
@natesilver538
@ethicalskeptic
@daoyu15
@ggronvall
@erikstownsend
@breakfast_dogs

Top Mentioned in G9:
@bar1star
@polaris_sky
@atsushimiyahara

Top Mentioned in G10:
@piochel4
@_2019_ncov
@55bellechasse
@anticor_org
@agretdenis
@_samedi_
@csapeforce
@ad_vitam44_
@alaindujardin6
@andreabescond

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@matiere
@toneunga3
@machi_usagi
@st01_madox
@junklife1km
@personalfitnes3
@sonialavera
@kokusizu2

Top Tweeters in G1:
@sonialavera
@botliberalisme
@guardian
@minilicorne69
@bfmtv
@lenine13
@ladevita12
@nypost
@le_parisien
@20minutes

Top Tweeters in G2:
@threadreaderapp
@mariabadin18
@yvespdb
@unrollhelper
@barberis888
@redragon974
@gerardfiloche
@peneloppe192
@philvelissariou
@tuferasface

Top Tweeters in G3:
@adekleine
@lorettabower3
@tyberzannxxxx
@rleas
@wtf_imtooold
@thinkkimthink
@brendaweese
@prpeep
@saffiya_khan1
@iridescentashes

Top Tweeters in G4:
@toneunga3
@kokusizu2
@shintochigi1
@hakofuguf
@amzkhb
@hitosas1104
@atsushi48shm410
@fairyaoi
@forzaoldbasterd
@tiiduka

Top Tweeters in G5:
@ezequiasns
@bordinvania
@nacilia
@vivianerecife
@dariosailor86
@keliveronezi
@nirdop
@g_garc2
@asalton
@maibonsimone

Top Tweeters in G6:
@siquieresmelees
@janecarvajal
@dragontauro
@turkiantof
@laporres
@ellaresponde
@mgarcia318
@negravillana
@jedomm
@radioduna

Top Tweeters in G7:
@matiere
@personalfitnes3
@drunkunclep
@didaclopez
@irlandia
@dianestraley
@asynchronize
@sherrychiyohime
@jre257
@retrograder

Top Tweeters in G8:
@business
@ericmoo91919605
@abcnews
@dopaminergic13
@akkaufman
@biorealism
@mbalter
@nockit1
@harvard2h
@supertodd1

Top Tweeters in G9:
@machi_usagi
@st01_madox
@junklife1km
@du_bois
@mikan_alien
@caras_1989
@otakutokkai
@yakohsei
@mark__lp
@fastech360x

Top Tweeters in G10:
@altai_armande
@bo_chart
@danubaud
@pilotte_daniel
@chaolin30900
@reinecabas
@natalianausica
@laroma18
@nineta370
@britto_bernard