NCoV, Twitter, 2/14/2023 8:44:03 PM, 289455


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NCoV_2023-02-14_05-45-01.xlsx
NCoV_2023-02-14_05-45-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 14, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3YSvpWO
@cdcgov
@aaronsirisg
@_2019_ncov
@ffleurbleue
@tuatwit
@profidokamdphd
@rwmalonemd
@piochel4
@bigbruce1972
@jeannetrad

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

Description:
Description
The graph represents a network of 5,025 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 13:50 UTC.

The tweets in the network were tweeted over the 1126-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Tuesday, 14 February 2023 at 00:59 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 : 5025
Unique Edges : 3296
Edges With Duplicates : 13398
Total Edges : 16694
Number of Edge Types : 9
Retweet : 3177
MentionsInRetweet : 4368
Quote : 56
Tweet : 595
Replies to : 1931
MentionsInReplyTo : 5960
MentionsInQuoteReply : 304
Mentions : 141
MentionsInQuote : 162
Self-Loops : 1079
Reciprocated Vertex Pair Ratio : 0.0483893855541365
Reciprocated Edge Ratio : 0.0923118570655116
Connected Components : 513
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 3172
Maximum Edges in a Connected Component : 12418
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.001844
Graph Density : 0.000292645054979878
Modularity : 0.411986
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,025 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 2/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 February 2023 at 13:50 UTC.

The tweets in the network were tweeted over the 1126-day, 13-hour, 41-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Tuesday, 14 February 2023 at 00:59 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:
[386] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[96] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[85] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[75] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[74] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[60] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[57] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[55] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[54] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[44] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G1:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[2] https://github.com/CSSEGISandData/COVID-19/commit/05ae46515c8521ef82c5d622bcd6ffde20cffe33
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/reporting-systems.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[1] https://github.com/enshengdong/2019-nCoV-1/commit/f6638542bd24b0f543431099b7d52a298467bdb8
[1] https://www.bag.admin.ch/dam/bag/fr/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/impfempfehlung-covid-19.pdf.download.pdf/Recommandations%20de%20vaccination%20avec%20des%20vaccins%20%C3%A0%20ARNm%20contre%20le%20COVID-19.pdf
[1] https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiq6K3o9f78AhWhgv0HHQ4jBR4QFnoECAwQAQ&url=https%3A%2F%2Fwww.bag.admin.ch%2Fdam%2Fbag%2Ffr%2Fdokumente%2Fmt%2Fk-und-i%2Faktuelle-ausbrueche-pandemien%2F2019-nCoV%2Fimpfempfehlung-covid-19.pdf.download.pdf%2FRecommandations%2520de%2520vaccination%2520avec%2520des%2520vaccins%2520%25C3%25A0%2520ARNm%2520contre%2520le%2520COVID-19.pdf&usg=AOvVaw3efvX8jbcUuRYzFJqiopDc
[1] https://www3.weforum.org/docs/WEF_IoB_briefing_paper_2020.pdf
[1] https://www.weforum.org/reports/the-internet-of-bodies-is-here-tackling-new-challenges-of-technology-governance
[1] https://www.weforum.org/agenda/2020/06/immunity-passport-quarantine-work-covid-19/

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
[3] https://www.gavi.org/vaccineswork/nasal-vaccines-promise-stop-covid-19-virus-it-gets-lungs-immunologist-explains-how
[3] https://twitter.com/FanDeMarlene/status/1624681666550587392/photo/1
[3] https://twitter.com/GalgosdelSol/status/1625166537064648704/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/FanDeMarlene/status/1624681666550587392?t=vKS3kMbpN0S3nf2CrkgAZw&s=19
[2] https://twitter.com/Dover63A/status/1622859892057833472?t=IUQm9PJI2eIq023Et31gCA&s=19

Top URLs in Tweet in G3:
[5] 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
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] http://nearsouthwestpreparednessalliance.createsend.com/t/ViewEmailArchive/i/D8DE8BA5412E802E2540EF23F30FEDED/C67FD2F38AC4859C/
[2] https://twitter.com/nspa01/status/1222203107549089794/photo/1
[2] https://twitter.com/HoustonHealth/status/1622705494598029312/photo/1
[2] https://twitter.com/HoustonHealth/status/1622701802679414785/photo/1
[2] https://espanol.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html

Top URLs in Tweet in G4:
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11794-sars-cov-2-25.html
[4] https://twitter.com/blurmyu/status/1625096520675782656/photo/1
[4] https://twitter.com/blurmyu/status/1622916600461664256/photo/1

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[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://www.fda.gov/regulatory-information/search-fda-guidance-documents/design-and-analysis-shedding-studies-virus-or-bacteria-based-gene-therapy-and-oncolytic-products
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://twitter.com/rt7683/status/1622817396804272134/photo/1
[1] https://ourworldindata.org/grapher/united-states-rates-of-covid-19-deaths-by-vaccination-status?country=~50%2B

Top URLs in Tweet in G6:
[69] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[26] https://www.nejm.org/doi/full/10.1056/NEJMoa2211029
[6] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[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
[2] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[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

Top URLs in Tweet in G7:
[10] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1622959839591661568/photo/1
[1] https://twitter.com/ministeriosalud/status/1618251296443895808/photo/1
[1] https://twitter.com/ministeriosalud/status/1622621323389272064/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/1624045018309701634/photo/1
[1] https://twitter.com/ministeriosalud/status/1616797772916850688/photo/1
[1] https://twitter.com/ministeriosalud/status/1624408080954888194/photo/1
[1] https://twitter.com/ministeriosalud/status/1624770765559107584/photo/1

Top URLs in Tweet in G8:
[47] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html
[27] https://ncov.kdca.go.kr/
[15] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://ncov.kdca.go.kr
[2] https://yellowcard.mhra.gov.uk/idaps/CHADOX1%20NCOV-19
[2] https://www.gov.uk/government/publications/coronavirus-covid-19-vaccine-adverse-reactions/coronavirus-vaccine-summary-of-yellow-card-reporting
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/viralvector.html
[2] https://www.phillyvoice.com/preventing-sudden-cardiac-death-student-athletes-tragedy/
[1] https://yellowcard.mhra.gov.uk/idaps/TOZINAMERAN

Top URLs in Tweet in G9:
[96] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[58] https://twitter.com/Neguse_de_gogo/status/1624209940272549889/photo/1
[51] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[14] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.niid.go.jp/niid/ja/2019-ncov/11793-covid19-ab116th.html
[6] https://twitter.com/ikaryakuchan/status/1624906670538362881/photo/1
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[4] https://twitter.com/funwari_fuwari/status/1625255950985879552/photo/1
[2] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/nyuji.html

Top URLs in Tweet in G10:
[372] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[1] https://twitter.com/Ibaraki_Kouhou/status/1625025727505780736/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1622128137038598146/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1622486567058280448/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/1623941202151374848/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1623572304377823232/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1624303166778138624/photo/1

Top Domains
Top Domains in Tweet in Entire Graph:
[849] twitter.com
[800] cdc.gov
[404] ibaraki.jp
[273] lg.jp
[89] go.jp
[73] recombinomics.co
[47] gob.es
[42] who.int
[42] go.kr
[39] sandiegocounty.gov

Top Domains in Tweet in G1:
[9] cdc.gov
[4] weforum.org
[3] github.com
[1] admin.ch
[1] google.com
[1] who.int
[1] sociable.co
[1] whitehouse.gov

Top Domains in Tweet in G2:
[159] twitter.com
[11] threadreaderapp.com
[9] lecrabeinfo.net
[5] youtube.com
[4] pgibertie.com
[4] t.me
[3] thegatewaypundit.com
[3] gavi.org
[3] profession-gendarme.com
[2] leslignesbougent.org

Top Domains in Tweet in G3:
[42] cdc.gov
[39] twitter.com
[2] createsend.com
[1] translate.goog
[1] healthdata.gov
[1] nytimes.com
[1] nextstrain.org
[1] who.int
[1] hhs.gov
[1] virginia.gov

Top Domains in Tweet in G4:
[120] cdc.gov
[97] twitter.com
[73] recombinomics.co
[18] lg.jp
[16] ibaraki.jp
[15] go.jp
[9] co.jp
[9] gob.es
[8] docguide.com
[5] bvsalud.org

Top Domains in Tweet in G5:
[9] cdc.gov
[3] twitter.com
[1] fda.gov
[1] ourworldindata.org

Top Domains in Tweet in G6:
[98] cdc.gov
[26] nejm.org
[7] twitter.com
[7] lg.jp
[2] sandiegocounty.gov
[1] go.jp
[1] aviationwire.jp
[1] or.jp

Top Domains in Tweet in G7:
[10] minsal.cl
[10] twitter.com

Top Domains in Tweet in G8:
[71] cdc.gov
[31] go.kr
[16] twitter.com
[6] gov.uk
[2] phillyvoice.com
[1] archive.org
[1] nih.gov

Top Domains in Tweet in G9:
[159] lg.jp
[86] twitter.com
[21] tokyo.jp
[12] go.jp
[7] ibaraki.jp

Top Domains in Tweet in G10:
[381] ibaraki.jp
[9] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[379] 新型コロナウイルス感染症情報
[344] covid19
[248] covid_19
[25] 코로나19
[25] 예방접종
[25] 기초접종
[24] coronavirus
[21] covid
[14] 練馬区
[13] carvativir



Top Hashtags in Tweet in G2:
[12] giletsjaunes
[7] retraites
[7] urgent
[6] france
[6] champselysees
[6] samedi11fevrier
[5] covid
[5] prisonnierspolitiques
[5] grégorypasqueille
[4] covid_19

Top Hashtags in Tweet in G3:
[223] covid19
[3] coronavirus
[3] 2019ncov
[2] saludtues
[2] houston
[1] travel
[1] cdc
[1] internationaltravel
[1] longcovid
[1] covid

Top Hashtags in Tweet in G4:
[31] covid19
[9] 疫情防控
[8] covid
[7] cdc
[5] coronavirus
[5] vaccine
[4] death
[3] blackhealth
[3] beashotcaller
[3] vaccines

Top Hashtags in Tweet in G5:
[1] covid19

Top Hashtags in Tweet in G6:
[1] nhk_news

Top Hashtags in Tweet in G7:
[244] covid_19

Top Hashtags in Tweet in G8:
[25] 코로나19
[25] 예방접종
[25] 기초접종
[7] 동절기추가접종
[7] 백신
[7] 방역
[7] 질병관리청
[7] 질병청
[7] kdca
[6] 안전하고_건강한_새로운일상

Top Hashtags in Tweet in G9:
[14] 練馬区
[10] 千葉県庁
[7] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G10:
[372] 新型コロナウイルス感染症情報

Top Words
Top Words in Tweet in Entire Graph:
[1325] cdc
[1238] covid
[1026] vaccination
[1008] aaronsirisg
[932] _2019_ncov
[875] 19
[790] spike
[781] protein
[781] mrna
[776] harmless

Top Words in Tweet in G1:
[997] cdc
[991] aaronsirisg
[761] harmless
[761] protein
[761] spike
[719] vaccination
[715] cells
[714] use
[714] once
[714] mrna

Top Words in Tweet in G2:
[829] _2019_ncov
[111] ce
[110] c'est
[79] plus
[78] yvespdb
[67] ils
[67] crashdebug_fr
[65] ça
[63] sitting_bull_d
[61] csapeforce

Top Words in Tweet in G3:
[390] covid
[286] cdcgov
[223] #covid19
[212] vaccination
[201] 19
[170] more
[155] illness
[154] heart
[153] myocarditis
[153] rare

Top Words in Tweet in G4:
[188] covid
[109] 19
[98] ncov
[92] 2019
[79] cases
[73] increase
[73] inc
[73] deaths
[73] recombinomics
[51] 1人

Top Words in Tweet in G5:
[7] mcfunny
[7] skepticalmutant
[7] mrna
[6] doritmi
[6] monstercoyliar
[5] covid
[5] shina20269455
[5] pouldeau61
[5] andrewlazarus4
[5] scottstocker4

Top Words in Tweet in G6:
[96] triangle24
[68] 米cdcも感染者のマスク着用は変更してないと思います
[67] 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 G7:
[488] casos
[244] fallecidos
[244] activos
[244] nuevos
[244] registrados
[244] #covid_19
[244] informe
[244] diario
[240] febrero
[234] ministeriosalud

Top Words in Tweet in G8:
[82] healthbyjames
[63] covid
[54] 19
[50] 보유병상
[50] 가동률
[50] 가용병상
[50] 병상
[48] myocarditis
[47] vaccines
[46] work

Top Words in Tweet in G9:
[113] の新型コロナウイルス感染症の情報
[113] 詳細データについてはこちらからご覧ください
[105] chibaken_kouhou
[102] 新規感染者数
[96] 県ホームページの更新は翌日
[96] 土日祝日を除く
[96] になります
[31] 火
[29] それなりに
[29] 本日のコロナワクチン接種会場

Top Words in Tweet in G10:
[381] co
[372] 詳細
[372] 現在の入院者数
[372] 本日の死亡者
[372] 検査前で症状がある方
[372] 本日の新規陽性者数
[372] qnzux8c1z3
[372] うち重症者
[372] #新型コロナウイルス感染症情報
[363] ibaraki_kouhou

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[789] covid,19
[779] spike,protein
[768] aaronsirisg,cdc
[727] muscle,cells
[727] cdc,considers
[725] vaccination,mrna
[725] considers,spike
[725] cells,once
[725] enter,muscle
[725] harmless,vaccination

Top Word Pairs in Tweet in G1:
[761] spike,protein
[757] aaronsirisg,cdc
[714] once,inside
[714] muscle,cells
[714] protein,harmless
[714] considers,spike
[714] cdc,considers
[714] cells,once
[714] enter,muscle
[714] mrna,enter

Top Word Pairs in Tweet in G2:
[53] didiercoquard2,partageinfos
[53] partageinfos,csapeforce
[53] csapeforce,belmehelzine
[52] gerardfiloche,didiercoquard2
[51] belmehelzine,crashdebug_fr
[43] alainsebil,gerardfiloche
[39] crashdebug_fr,sitting_bull_d
[32] didiermaisto,zemmoureric
[32] jlmelenchon,didiermaisto
[31] zemmoureric,j_bardella

Top Word Pairs in Tweet in G3:
[197] covid,19
[153] myocarditis,#covid19
[153] times,more
[153] heart,problems
[153] 19,illness
[153] #covid19,vaccination
[153] problems,times
[153] more,covid
[153] vaccination,rare
[153] rare,heart

Top Word Pairs in Tweet in G4:
[98] covid,19
[89] 2019,ncov
[73] recombinomics,inc
[73] cases,increase
[73] ncov,recombinomics
[72] covid,cases
[22] website,updated
[22] updated,visit
[22] english,website
[11] sars,cov

Top Word Pairs in Tweet in G5:
[5] pouldeau61,skepticalmutant
[3] volpiranyas,scottstocker4
[3] skepticalmutant,shina20269455
[3] shina20269455,nopoisonjabs
[3] andrewlazarus4,volpiranyas
[3] scottstocker4,zee_parody
[3] nopoisonjabs,andrewlazarus4
[2] jt4thereturn,frankdelia7
[2] iainmulady,doritmi
[2] mstrixter,kathmarval

Top Word Pairs in Tweet in G6:
[68] 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
[67] 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
[26] 一般人が論文読まないと思って嘘ばかりついてるけど,covid予防におけるマスクの有効性を示すデータは続々と出てるんだよな

Top Word Pairs in Tweet in G7:
[244] casos,activos
[244] fallecidos,registrados
[244] diario,#covid_19
[244] informe,diario
[244] casos,nuevos
[234] ministeriosalud,informe
[207] registrados,63
[116] #covid_19,febrero
[75] activos,fallecidos
[43] 15,fallecidos

Top Word Pairs in Tweet in G8:
[52] covid,19
[50] 병상,가동률
[46] 19,vaccines
[46] vaccines,work
[44] urgent,covid
[44] short,summary
[44] summary,myocarditis
[44] work,short
[43] healthbyjames,urgent
[25] 보유병상,783개

Top Word Pairs in Tweet in G9:
[100] の新型コロナウイルス感染症の情報,新規感染者数
[96] 土日祝日を除く,になります
[96] 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
[96] 県ホームページの更新は翌日,土日祝日を除く
[29] 小児の入院と重症者はでるわけで,小児はかかっても大丈夫じゃね
[29] それなりに,小児の入院と重症者はでるわけで
[29] 本日のコロナワクチン接種会場,本日
[29] 小児はかかっても大丈夫じゃね,とはなかなか言いづらく
[28] neguse_de_gogo,それなりに
[21] kenko_de_nerima,本日のコロナワクチン接種会場

Top Word Pairs in Tweet in G10:
[372] qnzux8c1z3,検査前で症状がある方
[372] 詳細,co
[372] co,qnzux8c1z3
[363] ibaraki_kouhou,#新型コロナウイルス感染症情報
[201] 検査前で症状がある方,検査で陽性
[157] うち重症者,14名
[157] 14名,本日の死亡者
[156] 2名,詳細
[156] 本日の死亡者,2名
[108] 検査前で症状がある方,検査で陽性と

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@illicopresto23
@jgalt485
@awayfromthekeys
@cit_dechue
@guigui83457472
@verity_france
@yvespdb
@83poppins
@carambaraaa

Top Replied-To in G1:
@truthorconseq12
@thefrozenpixel

Top Replied-To in G2:
@_2019_ncov
@jgalt485
@83poppins
@yvespdb
@carambaraaa
@daniela44490417
@outis_sandgrain
@verity_france
@marloubordo
@55bellechasse

Top Replied-To in G3:
@janainadobrasil
@_2019_ncov
@allisonroyaltv
@realcheckmarker
@cdcgov

Top Replied-To in G5:
@rt7683
@pouldeau61
@f_kyburz
@crabb_vicki
@reneeba41879905
@rbuckshi
@jaytee116james
@koollove2643
@sassy_girl1000
@delphinepalmow1

Top Replied-To in G6:
@triangle24
@nhk_news

Top Replied-To in G8:
@awayfromthekeys
@healthbyjames
@mpc_xetts
@abridgen
@denarsims
@headdie13
@dellydismantled
@secular_spicoli
@vixster81
@mysight26

Top Replied-To in G9:
@mikito_777
@yudoufu15
@kujyumt
@ikaryakuchan
@ceqyxnxdcwyt60f
@sugaryo_san
@sabuzabu1
@kendi10
@partyhike

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

Top Mentioned in G1:
@aaronsirisg
@cuendetv
@jockthedog2
@truthorconseq12

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

Top Mentioned in G3:
@cdcgov
@vaccinologie
@alexander_tin
@minorityhealth
@houstonhealth
@hhsgov
@cdc_ncezid
@flsurgeongen
@us_fda
@vdhgov

Top Mentioned in G4:
@aureliobelandom
@zyrofoxtrot
@tsukubais
@clubfmphilly
@tdoreatkinson
@sawsunny42

Top Mentioned in G5:
@skepticalmutant
@monstercoyliar
@mcfunny
@doritmi
@shina20269455
@andrewlazarus4
@scottstocker4
@scary7dr
@pouldeau61
@wendyorent

Top Mentioned in G6:
@triangle24
@sixailes
@toshimizu7566
@calcijp
@demauyo_tadaimo
@hiroshima_pref
@profidokamdphd
@mama_melaleuca
@neguse_de_gogo

Top Mentioned in G7:
@ministeriosalud

Top Mentioned in G8:
@healthbyjames
@koreadca
@hellopolicy
@abridgen
@a1an_m
@aaronsirisg
@awayfromthekeys
@stkirsch
@dellydismantled
@johnwcrawfordt

Top Mentioned in G9:
@chibaken_kouhou
@neguse_de_gogo
@kenko_de_nerima
@funwari_fuwari
@ibaraki_kouhou
@mikito_777
@ikaryakuchan
@ooaminavi
@partyhike

Top Mentioned in G10:
@ibaraki_kouhou

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@teamyoutube
@jurylady5
@matiere
@superalitita
@rodolfoxoliz
@british_airways
@citrus_kyoto
@littlebytesnews

Top Tweeters in G1:
@caligirlleftie
@madrynha2012
@heidiec5
@stachanna
@mlas
@nathanwu84
@jazzymsc
@claudiagcbell
@ziffykat
@mcoventry6

Top Tweeters in G2:
@threadreaderapp
@yvespdb
@nypost
@unrollhelper
@gerardfiloche
@nhabouzite
@jakopasto1
@peneloppe192
@miawallaceb52
@andre002nicolas

Top Tweeters in G3:
@citrus_kyoto
@adekleine
@tyberzannxxxx
@nytimes
@monitor_ph
@porcinettelouis
@2dogknight
@andy_christophi
@vankapro
@ckt0429

Top Tweeters in G4:
@matiere
@personalfitnes3
@mary_swilling
@didaclopez
@lllpuplll
@setonoutikai
@utu_panic
@aureliobelandom
@gate_15_analyst
@fujikurok

Top Tweeters in G5:
@lizditz
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@angryfleas
@frankdelia7
@nockit1
@incitatusalpha
@wendyorent

Top Tweeters in G6:
@kinasato_cap001
@mikan_alien
@otakutokkai
@yukinozomi
@tms063
@super_haka
@ltsaitou
@mindgaterz_2010
@qbk_jitensya
@forzaoldbasterd

Top Tweeters in G7:
@rodolfoxoliz
@ro_moyano_26
@janecarvajal
@dragontauro
@mattyll
@branemark1
@ppitune
@varancib
@laporres
@gonzaloxrojas

Top Tweeters in G8:
@duckguim
@rlfgprudrudgml
@tnakom
@teru_kidokoro
@nuriallibertat2
@awayfromthekeys
@esmesuperjunior
@missingpetsmx
@azrightsider
@jordiamadeus

Top Tweeters in G9:
@hakofuguf
@teaparty0000
@808cyatumi
@suuzanantonko
@atsushi48shm410
@sleep_sheep2010
@yamashita238
@miwa_1107
@singetunoneko
@shinngen50

Top Tweeters in G10:
@shintochigi1
@takakura1982
@moriai8
@mutoh_z
@tsuka_kazunee
@find_nakata
@sgr_kn
@dummyxtweet
@beer_prius
@contaxndigital


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