NCoV, Twitter, 3/17/2023 9:21:14 AM, 291417


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NCoV_2023-03-17_02-08-56.xlsx
NCoV_2023-03-17_02-08-56.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 17, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3FuIv5s
@_2019_ncov
@cdcgov
@nypost
@aubreyel1
@stevebigpond
@who
@lawrencegostin
@debunk_the_funk
@nojab69
@drkronbernard

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

Description:
Description
The graph represents a network of 4,453 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 09:14 UTC.

The tweets in the network were tweeted over the 1159-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Friday, 17 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 : 4453
Unique Edges : 3621
Edges With Duplicates : 14027
Total Edges : 17648
Number of Edge Types : 9
MentionsInReplyTo : 6638
MentionsInQuoteReply : 400
Replies to : 2743
Retweet : 2504
MentionsInRetweet : 4266
Mentions : 175
Tweet : 564
MentionsInQuote : 258
Quote : 100
Self-Loops : 969
Reciprocated Vertex Pair Ratio : 0.0447841969963469
Reciprocated Edge Ratio : 0.0857290857290857
Connected Components : 415
Single-Vertex Connected Components : 133
Maximum Vertices in a Connected Component : 2453
Maximum Edges in a Connected Component : 12495
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.400852
Graph Density : 0.000389512990727351
Modularity : 0.362735
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,453 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 09:14 UTC.

The tweets in the network were tweeted over the 1159-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Friday, 17 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
[309] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[101] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[92] 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
[34] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[29] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[28] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[28] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[24] 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
[8] https://twitter.com/Jean_Sairrien/status/1636464518334128149/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/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:
[5] https://twitter.com/FAMILLY41/status/1636179388247973890/video/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://twitter.com/scribot_ai/status/1636075235463053312/video/1
[2] https://twitter.com/ClasheurJ/status/1635938704169549824/photo/1
[2] https://twitter.com/Bonmarin14/status/1636126266553237504/photo/1
[2] https://twitter.com/Bonmarin14/status/1636115436130508801/photo/1
[2] https://twitter.com/Thierry_3181/status/1635556936929144833/photo/1
[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/1
[2] https://twitter.com/marloubordo/status/1634901659242446848/photo/1
[1] https://twitter.com/_2019_nCoV/status/1634470350036647936

Top URLs in Tweet in G3:
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[4] https://twitter.com/AtomsksSanakan/status/1567925564052324354/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://twitter.com/DrJBhattacharya/status/1635259207913185280/photo/1

Top URLs in Tweet in G4:
[4] https://twitter.com/_Jornal_Vitimas/status/1635714438266224649/photo/1
[4] https://twitter.com/_Jornal_Vitimas/status/1635800828920446985/photo/1
[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
[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

Top URLs in Tweet in G5:
[8] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1636368505787514881/photo/1
[1] https://twitter.com/ministeriosalud/status/1633831155048017924/photo/1
[1] https://twitter.com/ministeriosalud/status/1634554770529632256/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/1634196702763556865/photo/1
[1] https://twitter.com/ministeriosalud/status/1636004324579868672/photo/1

Top URLs in Tweet in G6:
[328] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[96] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[24] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html
[18] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[5] https://www.city.imabari.ehime.jp/2019-nCoV/wakuchin/child/R04aki.html
[5] https://twitter.com/konmei30/status/1635229544369225728/photo/1
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[4] https://twitter.com/departure46/status/1636117272648626176
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii

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

Top URLs in Tweet in G8:
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[8] https://twitter.com/ci2twit/status/1636402839776886785/photo/1
[4] https://twitter.com/MikeLeberte/status/1635437802635640832/photo/1
[2] https://twitter.com/QBJuan1776/status/1636024163914637312/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://web.archive.org/web/20200213194555/https://rense.com/general96/wuhan-ncov-proves-useful-for-a-malthusian-cull-of-aging-societies-part6.php
[2] https://www.fda.gov/media/134922/download
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[1] https://dcenquirer.com/does-china-deserve-consequences-republican-congressmen-introduce-bill-allowing-americans-to-sue-china-for-covid-19-damages/?utm_source=89385
[1] https://www.mdpi.com/2076-393X/11/2/358

Top URLs in Tweet in G9:
[88] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[81] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[6] https://www.catapoke.com/viewer/?open=62b3f
[4] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/masuku-kangaekata.html
[1] https://twitter.com/chibaken_kouhou/status/1635113267025809408/photo/1
[1] https://twitter.com/hiroshima_pref/status/1636283663926304769/photo/1
[1] https://twitter.com/hiroshima_pref/status/1634841660763807745/photo/1
[1] https://twitter.com/hiroshima_pref/status/1634456622545227777/photo/1

Top URLs in Tweet in G10:
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[10] https://www.science.org/doi/10.1126/science.abm4454
[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
[2] http://web.archive.org/web/20210430233835/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[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://yurideigin.medium.com/lab-made-cov2-genealogy-through-the-lens-of-gain-of-function-research-f96dd7413748
[1] https://twitter.com/SweenyFrank/status/1635664836263804929/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[1358] twitter.com
[592] cdc.gov
[322] ibaraki.jp
[208] lg.jp
[55] recombinomics.co
[53] who.int
[51] go.jp
[42] nih.gov
[29] go.kr
[27] tokyo.jp

Top Domains in Tweet in G1:
[331] twitter.com
[17] youtube.com
[9] threadreaderapp.com
[5] pgibertie.com
[3] touscontribuables.org
[3] cnbc.com
[3] lesechos.fr
[3] francetvinfo.fr
[2] nih.gov
[2] slaynews.com

Top Domains in Tweet in G2:
[94] twitter.com
[5] crashdebug.fr
[4] cdc.gov
[2] bonsens.info
[2] lecourrierdesstrateges.fr
[1] threadreaderapp.com
[1] lemagdeleconomie.com
[1] bilderbergmeetings.org
[1] t.me
[1] reseauinternational.net

Top Domains in Tweet in G3:
[65] twitter.com
[59] cdc.gov
[10] who.int
[8] sciencedirect.com
[4] nih.gov
[3] publichealthontario.ca
[1] substack.com
[1] un.org
[1] theguardian.com
[1] jamanetwork.com

Top Domains in Tweet in G4:
[9] twitter.com
[2] bvsalud.org
[1] cdc.gov
[1] facebook.com
[1] sciencedirect.com

Top Domains in Tweet in G5:
[8] minsal.cl
[8] twitter.com

Top Domains in Tweet in G6:
[353] twitter.com
[96] cdc.gov
[24] go.jp
[19] tokyo.jp
[19] lg.jp
[5] ehime.jp
[1] or.jp
[1] ibaraki.jp

Top Domains in Tweet in G7:
[105] twitter.com
[81] cdc.gov
[55] recombinomics.co
[11] ibaraki.jp
[9] nytimes.com
[9] lg.jp
[8] go.jp
[8] co.jp
[7] mtlnk.net
[5] docguide.com

Top Domains in Tweet in G8:
[25] twitter.com
[19] cdc.gov
[9] nih.gov
[2] archive.org
[2] fda.gov
[1] dcenquirer.com
[1] mdpi.com
[1] cnbc.com
[1] google.com
[1] who.int

Top Domains in Tweet in G9:
[171] lg.jp
[12] twitter.com
[6] catapoke.com
[2] ibaraki.jp
[1] cdc.gov

Top Domains in Tweet in G10:
[27] twitter.com
[10] who.int
[10] science.org
[2] cdc.gov
[2] archive.org
[1] nih.gov
[1] substack.com
[1] medium.com
[1] nytimes.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[302] 新型コロナウイルス感染症情報
[299] covid_19
[151] alexandre
[134] covid19
[133] hepatiteautoimune
[40] covid
[26] dyk
[17] 코로나19
[17] 예방접종
[17] 기초접종



Top Hashtags in Tweet in G1:
[12] alexandre
[6] violencespolicieres
[5] blackrock
[5] reformedesretraites
[5] pfizer
[5] macron
[4] covid_19
[4] davosagenda
[4] déconstruction
[4] macrondemission

Top Hashtags in Tweet in G2:
[138] alexandre
[6] pasnotreeurope
[4] youngsleaders
[1] pfizer
[1] henrion
[1] alexandra
[1] franc
[1] reformedesretraites
[1] retraites
[1] nonalareformedesretraites

Top Hashtags in Tweet in G3:
[87] covid19
[26] dyk
[26] covid
[8] covid_19
[6] omicron
[6] longcovid
[4] coronavirus
[2] china
[1] zoonotic
[1] pandemic

Top Hashtags in Tweet in G4:
[133] hepatiteautoimune
[1] bula
[1] pfizer

Top Hashtags in Tweet in G5:
[287] covid_19

Top Hashtags in Tweet in G6:
[11] 練馬区
[11] 千葉県庁
[5] ワクチン予約情報
[1] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G7:
[17] covid19
[6] cdc
[4] vaccines
[4] covid19vaccine
[3] 疫情防控
[3] 流感
[3] mrna
[3] health4todos
[2] sleeveup
[2] wecandothis

Top Hashtags in Tweet in G8:
[1] cookers

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

Top Hashtags in Tweet in G10:
[2] covid19
[1] sars
[1] cov2
[1] ncov
[1] virology
[1] gainoffunction
[1] gof
[1] wuhan
[1] wiv

Top Words
Top Words in Tweet in Entire Graph:
[2311] _2019_ncov
[713] casos
[707] covid
[460] co
[447] 0名
[353] 19
[305] c'est
[304] 詳細
[302] qnzux8c1z3
[302] 本日の新規陽性者数

Top Words in Tweet in G1:
[1763] _2019_ncov
[264] c'est
[241] ce
[180] ils
[167] plus
[152] mais
[146] ça
[141] sont
[122] par
[111] tronchebiais

Top Words in Tweet in G2:
[427] _2019_ncov
[256] yvespdb
[157] cet
[143] 55bellechasse
[141] ses
[139] immonde
[139] vite
[139] ignorance
[138] fausseté
[138] démoniaque

Top Words in Tweet in G3:
[249] cdcgov
[183] covid
[159] long
[149] include
[144] breath
[144] common
[144] symptoms
[143] fatigue
[143] passed
[143] fog

Top Words in Tweet in G4:
[270] meningite
[268] pesquisa
[268] vacina
[268] oms
[268] próprio
[268] site
[267] _jornal_vitimas
[136] uma
[135] mrna
[135] casos

Top Words in Tweet in G5:
[574] casos
[287] fallecidos
[287] 64
[287] registrados
[287] diario
[287] #covid_19
[287] activos
[287] nuevos
[287] informe
[287] marzo

Top Words in Tweet in G6:
[82] 個人の生活の中では柔軟に対応しましょう
[82] 対策の原則は正しく理解して認め
[82] きちんとすべき時にはして
[82] ということだと個人的には理解しています
[81] bar1star
[33] サンライフ練馬
[21] polaris_sky
[18] 本日
[18] 詳しくは
[18] は

Top Words in Tweet in G7:
[168] covid
[101] ncov
[97] 2019
[91] 19
[69] 1人
[60] cases
[55] increase
[55] inc
[55] recombinomics
[53] deaths

Top Words in Tweet in G8:
[18] vaccine
[14] covid
[10] vaccines
[10] drscott_atlanta
[10] ci2twit
[10] denisera1
[10] jrsatty
[9] vigilantfox
[9] 2019
[9] cdc

Top Words in Tweet in G9:
[117] chibaken_kouhou
[101] hiroshima_pref
[88] 19
[88] information
[88] の広島県内の感染状況
[88] languages
[88] 本日の感染者はコチラ
[88] covid
[88] 本日
[88] multiple

Top Words in Tweet in G10:
[29] dec
[27] 12
[20] jan
[20] 26
[19] notified
[18] genome
[18] timeline
[18] coronavirus
[17] days
[16] paper

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

Top Word Pairs in Tweet in G1:
[52] _2019_ncov,jrmesari1
[52] jrmesari1,tronchebiais
[44] _2019_ncov,tronchebiais
[43] maccledou,_2019_ncov
[42] _2019_ncov,c'est
[40] bouip,boop
[40] centuriesoflies,_2019_ncov
[35] _2019_ncov,bouip
[31] _2019_ncov,_2019_ncov
[29] ils,sont

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

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

Top Word Pairs in Tweet in G4:
[268] site,oms
[268] próprio,site
[135] uma,pesquisa
[135] meningite,segundo
[135] coincidência,próprio
[135] oms,uma
[135] mrna,casos
[135] relaciona,vacina
[135] vacina,mrna
[135] casos,meningite

Top Word Pairs in Tweet in G5:
[287] casos,nuevos
[287] casos,activos
[287] fallecidos,registrados
[287] informe,diario
[287] diario,#covid_19
[287] registrados,64
[279] ministeriosalud,informe
[128] nuevos,10
[101] activos,fallecidos
[58] 10,179

Top Word Pairs in Tweet in G6:
[82] 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
[82] 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
[82] 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
[81] bar1star,対策の原則は正しく理解して認め
[18] は,サンライフ練馬
[18] 本日のコロナワクチン接種会場,本日
[18] 予約なしでも接種できます,詳しくは
[15] も,があるようです
[15] 2回目,もオミクロン対応ワクチン
[15] 新型コロナワクチン,練馬区

Top Word Pairs in Tweet in G7:
[89] 2019,ncov
[88] covid,19
[56] covid,cases
[55] cases,increase
[55] recombinomics,inc
[55] ncov,recombinomics
[14] learn,more
[14] coronavirus,2019
[10] sars,cov
[9] long,covid

Top Word Pairs in Tweet in G8:
[10] denisera1,drscott_atlanta
[8] jrsatty,denisera1
[7] ci2twit,jrsatty
[7] covid,vaccines
[6] tnt_sweetmarie,ci2twit
[6] side,effects
[5] 2019,ncov
[4] almalienlivesm1,sophiadahl1
[4] xoplanetmother,allbitenobark88
[4] vaccines,very

Top Word Pairs in Tweet in G9:
[88] の広島県内の感染状況,本日の感染者はコチラ
[88] languages,covid
[88] covid,19
[88] multiple,languages
[88] information,multiple
[82] hiroshima_pref,本日
[81] の新型コロナウイルス感染症の情報,新規感染者数
[81] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日
[81] 県ホームページの更新は翌日,土日祝日を除く
[81] 土日祝日を除く,になります

Top Word Pairs in Tweet in G10:
[11] notified,dec
[11] dec,31
[11] 31,mystery
[11] china,notified
[11] mystery,pneumonia
[10] dec,26
[10] genome,december
[10] 12,days
[10] confirmed,coronavirus
[10] 12,shared

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@maccledou
@centuriesoflies
@lyfa0n
@jrmesari1
@yvespdb
@christ24intern1
@ludovicodiot
@nova153
@verity_france

Top Replied-To in G1:
@_2019_ncov
@maccledou
@centuriesoflies
@lyfa0n
@jrmesari1
@ludovicodiot
@nova153
@verity_france
@lrestistant73
@scribot_ai

Top Replied-To in G2:
@_2019_ncov
@christ24intern1
@yvespdb
@rrrrgerard
@sitting_bull_d
@55bellechasse
@piochel4
@partageinfos
@pauline06272023
@jetakarl

Top Replied-To in G3:
@stkirsch
@kelleykga
@matthew61492526
@atomskssanakan
@mvankerkhove
@dbdbdobson
@nickmmark
@balkraix
@researchgigi
@castort26371809

Top Replied-To in G8:
@roper_lab
@qbjuan1776
@tnt_sweetmarie
@vigilantfox
@_2019_ncov
@zimsmom
@goonies7
@cleshean
@dlerikson1
@raulmiralles4

Top Replied-To in G10:
@r_h_ebright
@therealrthorat
@robertc26440604
@drericding
@rikirikiroo
@biophysicsfl
@tonyhinton2016
@gglinskii
@romulus81212679
@dr_handler

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

Top Mentioned in G1:
@_2019_ncov
@tronchebiais
@jrmesari1
@55bellechasse
@centuriesoflies
@yvespdb
@thefigen_
@tomategpoint
@scribot_ai
@brayanngeki

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

Top Mentioned in G3:
@cdcgov
@minorityhealth
@who
@drjbhattacharya
@alastairmca30
@zeynep
@gorskon
@afterseven
@19joho
@gyamey

Top Mentioned in G4:
@_jornal_vitimas

Top Mentioned in G5:
@ministeriosalud

Top Mentioned in G6:
@bar1star
@polaris_sky
@funwari_fuwari
@kenko_de_nerima
@atsushimiyahara
@konmei30
@ooaminavi
@chibaken_kouhou
@ibaraki_kouhou

Top Mentioned in G7:
@zyrofoxtrot
@mama_melaleuca
@victorfran46

Top Mentioned in G8:
@ci2twit
@jrsatty
@denisera1
@drscott_atlanta
@vigilantfox
@dineshdsouza
@draseemmalhotra
@rwmalonemd
@almalienlivesm1
@sophiadahl1

Top Mentioned in G9:
@chibaken_kouhou
@hiroshima_pref
@ibaraki_kouhou
@bar1star

Top Mentioned in G10:
@r_h_ebright
@michaelworobey
@chrismartenson
@erikstownsend
@natesilver538
@ydeigin
@daoyu15
@ethicalskeptic
@breakfast_dogs
@gdemaneuf

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@matiere
@machi_usagi
@st01_madox
@sosgur82
@junklife1km
@personalfitnes3
@sonialavera
@kokusizu2

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@limportant_fr
@botliberalisme
@bfmtv
@lenine13
@mazenod10
@danubaud
@nypost
@talullabellefle

Top Tweeters in G2:
@altai_armande
@mariabadin18
@guardian
@minilicorne69
@bo_chart
@yvespdb
@pilotte_daniel
@gerardfiloche
@philvelissariou
@tuferasface

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

Top Tweeters in G4:
@ezequiasns
@bordinvania
@nacilia
@marciap_rj
@vivianerecife
@dariosailor86
@keliveronezi
@nirdop
@g_garc2
@asalton

Top Tweeters in G5:
@siquieresmelees
@janecarvajal
@dragontauro
@laporres
@ellaresponde
@mgarcia318
@negravillana
@radioduna
@elmejoredux
@radionuble

Top Tweeters in G6:
@machi_usagi
@st01_madox
@junklife1km
@kokusizu2
@du_bois
@mikan_alien
@caras_1989
@hakofuguf
@otakutokkai
@yakohsei

Top Tweeters in G7:
@matiere
@personalfitnes3
@didaclopez
@irlandia
@dianestraley
@asynchronize
@youtubefitness3
@yu2kama
@jre257
@zyrofoxtrot

Top Tweeters in G8:
@drscott_atlanta
@joe_warmington
@xoplanetmother
@backtolife_2023
@dineshdsouza
@michaelpbreton
@sophiadahl1
@rupasubramanya
@marikasboros
@dowdedward

Top Tweeters in G9:
@hitosas1104
@atsushi48shm410
@fairyaoi
@lapis777
@cv_tatsunosuke
@turututukotokot
@tanimoshinden
@susumumushi
@miwa_1107
@giogiogiga1

Top Tweeters in G10:
@business
@ericmoo91919605
@abcnews
@dawnslight2
@akkaufman
@biorealism
@mbalter
@healthcareglob1
@supertodd1
@karenh777


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