NCoV, Twitter, 2/11/2023 12:01:25 PM, 289142


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NCoV_2023-02-11_03-12-01.xlsx
NCoV_2023-02-11_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 11, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3DW9t5q
@aaronsirisg
@_2019_ncov
@rwmalonemd
@cdcgov
@aungkanspace
@tuatwit
@profidokamdphd
@mandatemasksny
@gydaarber
@healthbyjames

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

Description:
Description
The graph represents a network of 5,181 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1123-day, 10-hour, 8-minute period from Tuesday, 14 January 2020 at 14:48 UTC to Saturday, 11 February 2023 at 00:56 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 : 5181
Unique Edges : 3383
Edges With Duplicates : 12180
Total Edges : 15563
Number of Edge Types : 9
Retweet : 3295
MentionsInRetweet : 4084
Quote : 53
Tweet : 586
Replies to : 1811
MentionsInReplyTo : 5127
Mentions : 136
MentionsInQuoteReply : 307
MentionsInQuote : 164
Self-Loops : 997
Reciprocated Vertex Pair Ratio : 0.0484306206504758
Reciprocated Edge Ratio : 0.0923868870224871
Connected Components : 511
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 3210
Maximum Edges in a Connected Component : 10230
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.294367
Graph Density : 0.000275062058501549
Modularity : 0.441379
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,181 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1123-day, 10-hour, 8-minute period from Tuesday, 14 January 2020 at 14:48 UTC to Saturday, 11 February 2023 at 00:56 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:
[375] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[90] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[75] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[71] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[70] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[54] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[51] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[51] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[44] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[39] http://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/vaccines.html

Top URLs in Tweet in G1:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/reporting-systems.html
[1] https://twitter.com/TheEchoFromU/status/1622767357977296896/photo/1
[1] https://twitter.com/AaronSiriSG/status/1622765202805518338

Top URLs in Tweet in G2:
[9] https://lecrabeinfo.net/dns-jumper-changer-les-dns-de-windows-en-un-clic.html
[8] https://twitter.com/lesbebenous12/status/1623659736850726912/photo/1
[6] https://www.gavi.org/vaccineswork/nasal-vaccines-promise-stop-covid-19-virus-it-gets-lungs-immunologist-explains-how
[4] https://twitter.com/Martine0902/status/1622346419016290305/photo/1
[4] https://twitter.com/askingnc/status/1622558366420865026/photo/1
[3] https://twitter.com/lesbebenous12/status/1623659569225277440/photo/1
[2] https://pgibertie.com/2023/02/07/echec-des-vaccins-covid-et-grippe-les-incroyables-aveux-dantony-fauci-il-a-seulement-trois-ans-de-retard-sur-didier-raoult/
[2] https://twitter.com/83Poppins/status/1622901622551597056/photo/1
[2] https://twitter.com/83Poppins/status/1622671050067648516/photo/1
[2] https://twitter.com/Dover63A/status/1622859892057833472?t=IUQm9PJI2eIq023Et31gCA&s=19

Top URLs in Tweet in G3:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html
[2] https://www.nytimes.com/2023/01/30/us/politics/biden-covid-public-health-emergency.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html?s=08
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myo-outcomes.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[2] https://twitter.com/HoustonHealth/status/1622705494598029312/photo/1

Top URLs in Tweet in G4:
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://tools.cdc.gov/api/embed/downloader/download.asp?m=404952&c=413966
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://twitter.com/blurmyu/status/1622916600461664256/photo/1
[4] https://twitter.com/blurmyu/status/1621860073286045696/photo/1

Top URLs in Tweet in G5:
[48] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[24] https://ncov.kdca.go.kr/
[20] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://ncov.kdca.go.kr
[2] https://www.phillyvoice.com/preventing-sudden-cardiac-death-student-athletes-tragedy/
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://twitter.com/healthbyjames/status/1622137421415456769/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[1] https://twitter.com/healthbyjames/status/1621531292499169280/video/1

Top URLs in Tweet in G6:
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/animals.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[1] https://twitter.com/ahrehead/status/1623034974621564928
[1] https://www.southernminn.com/faribault_daily_news/opinion/the-cdc-changed-its-definition-of-vaccine-what-does-that-tell-us/article_973a7722-2c68-5835-b12a-936a807e091d.html
[1] https://twitter.com/Godslightangel7/status/1621855727319932928/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fyour-health%2Fquarantine-isolation.html
[1] https://twitter.com/EHHDHealth/status/1623402241712611328/photo/1

Top URLs in Tweet in G7:
[367] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[8] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1623941202151374848/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1622486567058280448/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1621779771616301058/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1622128137038598146/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1622851345828184064/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1623219002414891008/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1623572304377823232/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1621403340285554689/photo/1

Top URLs in Tweet in G8:
[9] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1618251296443895808/photo/1
[1] https://twitter.com/ministeriosalud/status/1621876618267344898/photo/1
[1] https://twitter.com/ministeriosalud/status/1622233628036972544/photo/1
[1] https://twitter.com/ministeriosalud/status/1622621323389272064/photo/1
[1] https://twitter.com/ministeriosalud/status/1622959839591661568/photo/1
[1] https://twitter.com/ministeriosalud/status/1623320846382075906/photo/1
[1] https://twitter.com/ministeriosalud/status/1623683587135483905/photo/1
[1] https://twitter.com/ministeriosalud/status/1621508812451479552/photo/1
[1] https://twitter.com/ministeriosalud/status/1624045018309701634/photo/1

Top URLs in Tweet in G9:
[67] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[2] http://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/vaccines.html
[2] https://twitter.com/profidokamdphd/status/1623049392784801792/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/what-you-should-know.html
[1] https://twitter.com/triangle24/status/1623122703111819265/photo/1
[1] https://twitter.com/nhk_news/status/1623060036967882762
[1] https://www.aviationwire.jp/archives/270189
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[1] https://twitter.com/toshimizu7566/status/1622797095399993344/photo/1
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/omicron.html#kansenjyoukyou

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/genomic-surveillance.html#:~:text=Genomic%20Sequencing%3A%20Scientists%20use%20a,changes%20may%20affect%20public%20health
[1] https://www.cdc.gov/flu/about/professionals/genetic-characterization.htm
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html#novavax-18-and-older
[1] https://twitter.com/Kathmarval/status/1623462729842323458/photo/1
[1] https://rumble.com/v27vnry--new-dr.-paul-offit-says-there-is-a-causal-link-between-vaccination-and-myo.html?fbclid=IwAR3TRnDkxzWjvIrPluGR7if9ROfeS2k1hMfCXVbSKRlBw1qvY-mOFYkoJJY
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/overview-COVID-19-vaccines.html#mrna

Top Domains
Top Domains in Tweet in Entire Graph:
[803] twitter.com
[754] cdc.gov
[393] ibaraki.jp
[264] lg.jp
[78] recombinomics.co
[50] tokyo.jp
[49] who.int
[48] go.jp
[48] gob.es
[40] sandiegocounty.gov

Top Domains in Tweet in G1:
[5] cdc.gov
[2] twitter.com

Top Domains in Tweet in G2:
[149] twitter.com
[9] lecrabeinfo.net
[6] youtube.com
[6] gavi.org
[6] cdc.gov
[6] threadreaderapp.com
[3] pgibertie.com
[3] profession-gendarme.com
[3] dailymotion.com
[2] t.me

Top Domains in Tweet in G3:
[46] cdc.gov
[34] twitter.com
[3] usrtk.org
[2] nytimes.com
[1] healthdata.gov
[1] github.com
[1] substack.com
[1] usp.br
[1] howsyourair.com
[1] pagefreezer.com

Top Domains in Tweet in G4:
[107] cdc.gov
[97] twitter.com
[78] recombinomics.co
[21] lg.jp
[17] ibaraki.jp
[16] go.jp
[9] gob.es
[8] co.jp
[6] docguide.com
[5] nih.gov

Top Domains in Tweet in G5:
[83] cdc.gov
[27] go.kr
[16] twitter.com
[2] phillyvoice.com
[1] substack.com
[1] thelancet.com
[1] ourworldindata.org
[1] jhu.edu
[1] nature.com
[1] who.int

Top Domains in Tweet in G6:
[7] cdc.gov
[3] twitter.com
[1] southernminn.com

Top Domains in Tweet in G7:
[375] ibaraki.jp
[8] twitter.com

Top Domains in Tweet in G8:
[9] minsal.cl
[9] twitter.com

Top Domains in Tweet in G9:
[69] cdc.gov
[6] twitter.com
[2] sandiegocounty.gov
[1] aviationwire.jp
[1] go.jp
[1] lg.jp
[1] or.jp

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[438] covid19
[368] 新型コロナウイルス感染症情報
[240] covid_19
[22] 코로나19
[22] 예방접종
[19] covid
[19] coronavirus
[16] longcovid
[15] 기초접종
[15] 疫情防控



Top Hashtags in Tweet in G2:
[7] covid_19
[6] giletsjaunes
[6] samedi11fevrier
[5] moderna
[4] pfizer
[4] covid
[4] retraites
[4] urgent
[3] champselysees
[3] manif11fevrier

Top Hashtags in Tweet in G3:
[321] covid19
[4] vaxfact
[2] saludtues
[1] travel
[1] cdc
[1] internationaltravel
[1] healthiernj
[1] co2

Top Hashtags in Tweet in G4:
[35] covid19
[15] 疫情防控
[5] covid
[5] coronavirus
[4] cdc
[4] death
[3] vaccines
[3] ncov
[3] vaccine
[3] sarscov2

Top Hashtags in Tweet in G5:
[22] 코로나19
[22] 예방접종
[15] 기초접종
[7] 동절기추가접종
[7] 백신
[7] 방역
[7] 안전하고_건강한_새로운일상
[7] 질병관리청
[7] 질병청
[7] kdca

Top Hashtags in Tweet in G6:
[1] precautions
[1] isolation
[1] covid19
[1] stopthespread

Top Hashtags in Tweet in G7:
[367] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G8:
[233] covid_19

Top Hashtags in Tweet in G9:
[1] nhk_news

Top Hashtags in Tweet in G10:
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[1558] cdc
[1462] covid
[1158] aaronsirisg
[1102] vaccination
[1019] 19
[812] _2019_ncov
[788] spike
[784] protein
[776] mrna
[773] harmless

Top Words in Tweet in G1:
[1146] cdc
[1140] aaronsirisg
[759] protein
[759] spike
[758] harmless
[712] vaccination
[712] cells
[711] use
[711] once
[711] mrna

Top Words in Tweet in G2:
[766] _2019_ncov
[100] ce
[96] c'est
[84] plus
[64] ils
[58] mais
[53] ça
[51] sont
[50] être
[47] 83poppins

Top Words in Tweet in G3:
[562] covid
[370] cdcgov
[321] #covid19
[320] 19
[263] more
[259] vaccination
[247] illness
[241] heart
[240] problems
[240] times

Top Words in Tweet in G4:
[202] covid
[111] 19
[109] ncov
[100] 2019
[85] cases
[78] recombinomics
[78] increase
[78] inc
[77] deaths
[51] 1人

Top Words in Tweet in G5:
[97] healthbyjames
[68] covid
[65] 19
[52] vaccines
[49] myocarditis
[48] urgent
[47] work
[45] short
[45] summary
[44] 보유병상

Top Words in Tweet in G6:
[12] rosegar17673310
[10] digimalice
[10] vincegottalotta
[10] mistressredwasp
[8] jdd2169
[8] bassistold
[8] rjocore1
[8] jeffreysharper1
[8] queen_1776
[8] dickchibbles556

Top Words in Tweet in G7:
[375] co
[367] 詳細
[367] 現在の入院者数
[367] 本日の死亡者
[367] 検査前で症状がある方
[367] 本日の新規陽性者数
[367] qnzux8c1z3
[367] うち重症者
[367] #新型コロナウイルス感染症情報
[359] ibaraki_kouhou

Top Words in Tweet in G8:
[466] casos
[233] 63
[233] fallecidos
[233] registrados
[233] diario
[233] #covid_19
[233] activos
[233] nuevos
[233] informe
[231] febrero

Top Words in Tweet in G9:
[94] triangle24
[66] 米cdcも感染者のマスク着用は変更してないと思います
[65] sixailes
[28] 安価でデメリット少ないユニバーサルマスクを止めてまで
[28] 2020年10月にこういう事例が有りました
[28] 5回目接種の発症予防効果もそろそろなくなって来る頃
[28] 4回
[28] 感染力という意味では当時より今の方が高くなってますし
[27] リスク
[27] toshimizu7566

Top Words in Tweet in G10:
[7] mcfunny
[7] monstercoyliar
[6] skepticalmutant
[6] doritmi
[5] kathmarval
[5] mrna
[4] acmeatomicace
[4] ogilville1
[4] wendyorent
[4] jtmayes3

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[953] covid,19
[778] spike,protein
[765] aaronsirisg,cdc
[723] muscle,cells
[723] cdc,considers
[722] vaccination,mrna
[722] considers,spike
[722] cells,once
[722] enter,muscle
[722] harmless,vaccination

Top Word Pairs in Tweet in G1:
[759] spike,protein
[754] aaronsirisg,cdc
[711] cdc,considers
[711] inside,use
[711] muscle,cells
[711] protein,harmless
[711] vaccination,mrna
[711] once,inside
[711] considers,spike
[711] mrna,enter

Top Word Pairs in Tweet in G2:
[29] didiercoquard2,partageinfos
[29] partageinfos,csapeforce
[29] csapeforce,belmehelzine
[29] belmehelzine,crashdebug_fr
[28] gerardfiloche,didiercoquard2
[27] gaz,tur
[27] sang,gaz
[27] quie,petrole
[27] tremblement,terre
[27] tur,quie

Top Word Pairs in Tweet in G3:
[320] covid,19
[240] myocarditis,#covid19
[240] times,more
[240] heart,problems
[240] 19,illness
[240] #covid19,vaccination
[240] problems,times
[240] more,covid
[240] vaccination,rare
[240] rare,heart

Top Word Pairs in Tweet in G4:
[100] covid,19
[97] 2019,ncov
[78] cases,increase
[78] recombinomics,inc
[78] ncov,recombinomics
[77] covid,cases
[19] 19,vaccines
[15] #疫情防控,#covid19
[13] english,website
[13] website,updated

Top Word Pairs in Tweet in G5:
[57] covid,19
[48] 19,vaccines
[47] vaccines,work
[45] summary,myocarditis
[45] urgent,covid
[45] short,summary
[45] work,short
[44] 병상,가동률
[44] healthbyjames,urgent
[25] 13,기초

Top Word Pairs in Tweet in G6:
[8] danohta,freedqben
[8] laurasimbell1,_capitaloffense
[8] krispi_largo,ziggywilde
[8] rjocore1,digimalice
[8] skeeduu,krispi_largo
[8] jdd2169,wokeninjaet
[8] mjb24681,jkoff609
[8] _capitaloffense,johnmor49451893
[8] stupidmaggats,asjah8
[8] vickie627,jeffreysharper1

Top Word Pairs in Tweet in G7:
[367] qnzux8c1z3,検査前で症状がある方
[367] 詳細,co
[367] co,qnzux8c1z3
[359] ibaraki_kouhou,#新型コロナウイルス感染症情報
[207] 検査前で症状がある方,検査で陽性と
[152] うち重症者,15名
[152] 15名,本日の死亡者
[101] 本日の死亡者,3名
[101] 3名,詳細
[57] 本日の死亡者,4名

Top Word Pairs in Tweet in G8:
[233] casos,nuevos
[233] registrados,63
[233] casos,activos
[233] fallecidos,registrados
[233] informe,diario
[233] diario,#covid_19
[224] ministeriosalud,informe
[204] #covid_19,febrero
[76] activos,fallecidos
[41] 965,casos

Top Word Pairs in Tweet in G9:
[66] triangle24,米cdcも感染者のマスク着用は変更してないと思います
[65] sixailes,triangle24
[28] 5回目接種の発症予防効果もそろそろなくなって来る頃,安価でデメリット少ないユニバーサルマスクを止めてまで
[28] 2020年10月にこういう事例が有りました,感染力という意味では当時より今の方が高くなってますし
[28] triangle24,2020年10月にこういう事例が有りました
[28] 4回,5回目接種の発症予防効果もそろそろなくなって来る頃
[28] 感染力という意味では当時より今の方が高くなってますし,4回
[27] toshimizu7566,triangle24
[27] 安価でデメリット少ないユニバーサルマスクを止めてまで,リスク
[4] covid,19

Top Word Pairs in Tweet in G10:
[4] sasquatch4eva,rickeyh64219156
[4] nuhope2022,pawley_robert
[4] zeetubesii,wendyorent
[4] rickeyh64219156,ianb_67
[4] kevinoler,tonybaduy
[4] paramaniac9,goz421
[4] richykirsh,zeetubesii
[4] wendyorent,consequentialbr
[4] maureenstroud,provaxtexan
[4] consequentialbr,frenchg11623069

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@illicopresto23
@awayfromthekeys
@83poppins
@cit_dechue
@guigui83457472
@healthbyjames
@unknowsolitary
@iancopeland5
@roper_lab

Top Replied-To in G1:
@chrismasterjohn

Top Replied-To in G2:
@_2019_ncov
@illicopresto23
@83poppins
@cit_dechue
@guigui83457472
@unknowsolitary
@jgalt485
@dr_l_alexandre
@crashdebug_fr
@jack_grolandais

Top Replied-To in G3:
@janainadobrasil
@allisonroyaltv
@dleonhardt
@digiphile
@itwillworkout21
@doc_gero
@cdcgov
@aaronwo62591828
@rqcrackers
@garyruskin

Top Replied-To in G5:
@awayfromthekeys
@healthbyjames
@trixorcist
@dellydismantled
@mjjacques9
@secular_spicoli
@realityofthesit
@aly_meek
@plount_os
@cherrymcg23

Top Replied-To in G6:
@sapienwoman
@ofteamster
@taidecker
@slim90866101
@bernvazquez1
@zirnike
@godslightangel7
@mucusmucous
@kelley_rogers66
@dirk_fasshauer

Top Replied-To in G9:
@triangle24
@nhk_news

Top Replied-To in G10:
@crabb_vicki
@reneeba41879905
@rbuckshi
@jaytee116james
@pouldeau61
@lazlowoodbine42
@jonathanhannah
@monstercoyliar
@mcfunny

Top Mentioned
Top Mentioned in Entire Graph:
@aaronsirisg
@cdcgov
@ibaraki_kouhou
@_2019_ncov
@ministeriosalud
@chibaken_kouhou
@triangle24
@healthbyjames
@hiroshima_pref
@luckytran

Top Mentioned in G1:
@aaronsirisg

Top Mentioned in G2:
@_2019_ncov
@crashdebug_fr
@83poppins
@sitting_bull_d
@partageinfos
@csapeforce
@didiercoquard2
@gerardfiloche
@sergiodde
@belmehelzine

Top Mentioned in G3:
@cdcgov
@alexander_tin
@nytimes
@minorityhealth
@nextstrain
@ohaoregon
@houstonhealth
@cdc_ncezid
@hhsgov
@snhdinfo

Top Mentioned in G4:
@aureliobelandom
@tsukubais
@clubfmphilly
@tdoreatkinson
@ds20wk
@sawsunny42
@acilci_net

Top Mentioned in G5:
@healthbyjames
@hellopolicy
@koreadca
@stkirsch
@awayfromthekeys
@aaronsirisg
@bisayagirlmd
@dellydismantled
@lala716ny
@liligogo19

Top Mentioned in G6:
@rosegar17673310
@vincegottalotta
@mistressredwasp
@digimalice
@paulstetson13
@_kel_varnsen_
@missled2u
@robfrommo
@therrienv

Top Mentioned in G7:
@ibaraki_kouhou

Top Mentioned in G8:
@ministeriosalud

Top Mentioned in G9:
@triangle24
@sixailes
@toshimizu7566
@morilyn1123
@profidokamdphd
@mama_melaleuca
@immwvs6pnyyokys

Top Mentioned in G10:
@skepticalmutant
@doritmi
@monstercoyliar
@mcfunny
@kathmarval
@takethatct
@jimeeliberty
@tomsirolimus
@lummhandy
@drdavidmoore11

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@jurylady5
@matiere
@rodolfoxoliz
@british_airways
@sippomagari
@citrus_kyoto
@lizditz
@ginniasa

Top Tweeters in G1:
@caligirlleftie
@madrynha2012
@heidiec5
@stachanna
@mlas
@nathanwu84
@jazzymsc
@devimora
@claudiagcbell
@ziffykat

Top Tweeters in G2:
@threadreaderapp
@bfmtv
@yvespdb
@nypost
@le_parisien
@unrollhelper
@afpfr
@lemondefr
@wsj
@france24

Top Tweeters in G3:
@citrus_kyoto
@thehill
@adekleine
@tyberzannxxxx
@wavetossed
@ranilyons
@btsarmy_legit
@bprophetable
@kirkmurphy
@nytimes

Top Tweeters in G4:
@matiere
@personalfitnes3
@parliamodinews
@reuters
@ds20wk
@didaclopez
@lvv2com
@lllpuplll
@setonoutikai
@utu_panic

Top Tweeters in G5:
@duckguim
@rlfgprudrudgml
@tnakom
@teru_kidokoro
@nuriallibertat2
@awayfromthekeys
@esmesuperjunior
@missingpetsmx
@azrightsider
@jordiamadeus

Top Tweeters in G6:
@thereseosulliv2
@vickie627
@vincegottalotta
@babetruth2
@ladyoftheocean1
@nolbol
@merry_hippie
@howienudet
@angryfleas
@hrt6017

Top Tweeters in G7:
@shintochigi1
@amzkhb
@moriai8
@mutoh_z
@tsuka_kazunee
@find_nakata
@sgr_kn
@dummyxtweet
@beer_prius
@contaxndigital

Top Tweeters in G8:
@rodolfoxoliz
@ginniasa
@dragontauro
@turkiantof
@ppitune
@varancib
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana

Top Tweeters in G9:
@kinasato_cap001
@otakutokkai
@yukinozomi
@mindgaterz_2010
@qbk_jitensya
@nhk_news
@lamohkun
@wakakusa_midori
@ohtsune2nd
@calcijp

Top Tweeters in G10:
@lizditz
@doritmi
@monstercoyliar
@mcfunny
@frankdelia7
@wendyorent
@pawley_robert
@iainmulady
@tinfoilawards
@andrewlazarus4


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