NCoV, Twitter, 8/28/2022 1:17:07 PM, 280869


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NCoV_2022-08-28_02-28-26.xlsx
NCoV_2022-08-28_02-28-26.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 28, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3AsXrhb
@_2019_ncov
@cdcgov
@sukunabikona7
@luckycookie777
@mpc_xetts
@roper_lab
@ibaraki_kouhou
@77piment7777777
@tatiann69922625
@as56243074

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#covid_19
#covid19vaccines
#coronavirus
#longcovid

Description:
Description
The graph represents a network of 5,963 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 August 2022 at 09:38 UTC.

The requested start date was Sunday, 28 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 4-day, 16-hour, 48-minute period from Monday, 22 August 2022 at 19:37 UTC to Saturday, 27 August 2022 at 12:25 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 5963
Unique Edges : 5167
Edges With Duplicates : 12053
Total Edges : 17220
Number of Edge Types : 5
Retweet : 3750
MentionsInRetweet : 5365
Replies to : 3121
Mentions : 4177
Tweet : 807
Self-Loops : 869
Reciprocated Vertex Pair Ratio : 0.0508058864751226
Reciprocated Edge Ratio : 0.0966988996332111
Connected Components : 526
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 4261
Maximum Edges in a Connected Component : 14519
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.516117
Graph Density : 0.000253070159869345
Modularity : 0.415659
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,963 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 August 2022 at 09:38 UTC.

The requested start date was Sunday, 28 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 4-day, 16-hour, 48-minute period from Monday, 22 August 2022 at 19:37 UTC to Saturday, 27 August 2022 at 12:25 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[208] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11017-covid19-76.html
[129] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[95] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[78] https://www.nejm.org/doi/full/10.1056/NEJMc2202092?cookieSet=1
[76] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11405-covid19-999.html
[64] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[35] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel/index.html
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/easy-to-read/mask-guidance.html

Top URLs in Tweet in G1:
[6] https://twitter.com/franco_russe/status/1562920877548871681?t=reAYLMn-744RL4cZbBz_nA&s=19
[4] https://www.leprogres.fr/amp/environnement/2021/11/26/une-facture-de-chauffage-a-345-159-euros-l-empreinte-energetique-de-l-elysee-epinglee
[3] https://twitter.com/_2019_nCoV/status/1558026219806932994?s=20
[2] https://twitter.com/_2019_nCoV/status/1562526135153438720?s=20
[2] https://twitter.com/_2019_nCoV/status/1563447545749131265?s=20
[2] https://www.liberation.fr/checknews/2019/04/09/de-quoi-francoise-nicolas-ex-fonctionnaire-aux-affaires-etrangeres-accuse-t-elle-nathalie-loiseau_1717962/
[2] https://twitter.com/_2019_nCoV/status/1562170492626370561?s=20
[2] https://pgibertie.com/2022/08/24/pas-d-essais-cliniques-avec-groupe-placebo-pour-les-nouvelles-injections-il-suffit-de-verifier-leur-efficacite-a-produire-de-la-proteine-spike-source-de-tous-les-dangers/#Pfizergate
[2] https://pgibertie.com/2022/08/26/climat-la-verite-scientifique-nest-ni-celle-des-journalistes-ni-celle-des-politiques-elle-est-beaucoup-trop-complexe-pour-leur-permettre-de-nous-manipuler/#rechauffementclimatique
[2] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4046809

Top URLs in Tweet in G2:
[23] https://www.cdc.gov/coronavirus/2019-ncov/easy-to-read/mask-guidance.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-childcare-guidance.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html
[4] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/tribal/social-distancing.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G3:
[205] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11017-covid19-76.html
[78] https://www.nejm.org/doi/full/10.1056/NEJMc2202092?cookieSet=1
[5] https://www.kdca.go.kr/board/board.es?mid=a20501000000&bid=0015&list_no=720510&act=view
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11405-covid19-999.html
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e50774a4d212f347721527d77202f59&location_id=4724226972008573347&signature=c235048e3e5c576bd602aa71dfb4942dbf69ef1bfb91d2af2640aec90b8fa790
[1] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6826&contSeq=6826&board_id=312&gubun=ALL
[1] https://twitter.com/narumita/status/1562098146351906816
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html
[1] https://www.cov19-vaccine.mhlw.go.jp/qa/0028.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html#:~:text=Getting%20a%20COVID%2D19%20vaccine,you%20received%20a%20positive%20test

Top URLs in Tweet in G4:
[17] https://www.youtube.com/watch?v=NxPDxBVP7OM&feature=youtu.be

[1] https://twitter.com/NiusMarco/status/1562899685915774976
[1] https://twitter.com/NicolasPichot6/status/1561360606829154306
[1] https://www.tiktok.com/@chanteur_a_gages/video/7132439453800402181?_t=8VBEkoJN6sY&_r=1
[1] https://www.crashdebug.fr/dr-klaus-schwab-ou-comment-le-cfr-m-a-appris-a-ne-pas-m-inquieter-et-a-aimer-la-bombe-unlimitedhangout-com
[1] https://www.crashdebug.fr/la-crise-permanente-marc-chesney
[1] https://www.crashdebug.fr/quand-philippe-de-villiers-nous-devoile-le-scandale-mckinsey
[1] https://www.crashdebug.fr/qui-est-derriere-l-effondrement-economique-mercola-com
[1] https://rtmag-co-il.translate.goog/health/the-israeli-moh-hid-alarming-findings-from-a-study-on-the-covid-19-vaccine-side-effects-that-the-ministry-itself-ordered?_x_tr_sl=auto&_x_tr_tl=fr&_x_tr_hl=en
[1] https://twitter.com/Log_Yves/status/1563204761188696066

Top URLs in Tweet in G5:
[7] https://www.younggloballeaders.org/community?utf8=
[4] https://twitter.com/Marc_Doyer/status/1563020287075315719?s=20&t=R9xF1xMzr8fvOdXXQ3a9gg
[1] https://www.lessentiel.lu/fr/story/au-bord-des-larmes-la-premiere-ministre-se-defend-100740959356
[1] https://twitter.com/franco_russe/status/1562920877548871681?t=reAYLMn-744RL4cZbBz_nA&s=19
[1] https://www.ege.fr/infoguerre/2019/07/politique-americaine-ukraine-echec-reussite
[1] https://royalsocietypublishing.org/doi/10.1098/rstb.2015.0345?cookieSet=1
[1] https://www.ouest-france.fr/meteo/secheresse/video-secheresse-larrosage-des-terrains-de-golf-est-il-autorise-347a2866-e44e-4c7f-b166-8cf8562ce9fa
[1] https://www.younggloballeaders.org/community?utf8=%E2%9C%93&q=sanna+marin&x=20&y=16&status=&class_year=§or=®ion=#results
[1] https://twitter.com/MaireTahitoa/status/1562315213298614275?t=SOL9QAoYcdFWE8vaNnxS2A&s=19
[1] https://web.archive.org/web/20200322131148/https://www.weforum.org/agenda/2020/03/ygl-wef-young-global-leaders/

Top URLs in Tweet in G6:
[129] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[93] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[7] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[6] https://www.catapoke.com/viewer/?open=62b3f
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma.html
[4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/status.html
[4] https://www.city.adachi.tokyo.jp/esekanri/corona-wakuchin.html
[4] https://www.city.katsushika.lg.jp/kurashi/1000050/1001800/1027875/1026599.html
[3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[3] https://www.pref.chiba.lg.jp/shippei/press/2022/ncov0801-0831.html

Top URLs in Tweet in G7:
[8] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[6] https://ncov.se
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[5] https://www.city.yokohama.lg.jp/kurashi/kenko-iryo/yobosesshu/kansensho/ncov-soudan.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Ftravelers%2Fnoncitizens-US-air-travel.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/11426-covid19-ab96th.html
[5] https://c11.kr/joao
[5] https://ncv.kdca.go.kr/ncov/

Top URLs in Tweet in G8:
[10] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html#noncitizen
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html#:~:text=Yes%2C%20at%20this%20time%20all,proof%20of%20COVID%2D19%20vaccination
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html#faq-exceptions
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[1] https://twitter.com/TODAYshow/status/1562038628167057408
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/free-masks.html

Top URLs in Tweet in G9:
[62] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[2] 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
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/about-variants.html
[1] https://www.traviscountytx.gov/40KYourWay
[1] https://www.vaccines.gov/search/

Top URLs in Tweet in G10:
[7] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[3] https://www.publichealthontario.ca/-/media/documents/ncov/covid-wwksf/2021/08/wwksf-wearing-masks-children.pdf?sc_lang=en
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[1] https://ourworldindata.org/covid-deaths-by-vaccination
[1] https://www.scientificamerican.com/article/how-to-compare-covid-deaths-for-vaccinated-and-unvaccinated-people/

Top Domains
Top Domains in Tweet in Entire Graph:
[721] cdc.gov
[321] go.jp
[289] lg.jp
[161] twitter.com
[99] recombinomics.co
[94] publichealthontario.ca
[79] nejm.org
[74] gob.es
[70] ibaraki.jp
[41] go.kr

Top Domains in Tweet in G1:
[90] twitter.com
[11] youtube.com
[5] pgibertie.com
[5] weforum.org
[4] leprogres.fr
[3] t.me
[3] facebook.com
[3] gitlab.com
[2] liberation.fr
[2] ssrn.com

Top Domains in Tweet in G2:
[102] cdc.gov
[5] twitter.com
[4] okt.to
[3] archive.org
[1] covid.gov
[1] who.int

Top Domains in Tweet in G3:
[211] go.jp
[78] nejm.org
[6] go.kr
[2] twitter.com
[1] ne.jp
[1] cdc.gov

Top Domains in Tweet in G4:
[17] youtube.com
[5] twitter.com
[4] crashdebug.fr
[2] translate.goog
[1] tiktok.com
[1] archive.org
[1] ac.news
[1] nextstrain.org
[1] ouest-france.fr
[1] nih.gov

Top Domains in Tweet in G5:
[10] twitter.com
[8] younggloballeaders.org
[2] youtube.com
[1] lessentiel.lu
[1] ege.fr
[1] royalsocietypublishing.org
[1] ouest-france.fr
[1] archive.org
[1] euromomo.eu

Top Domains in Tweet in G6:
[248] lg.jp
[15] tokyo.jp
[6] catapoke.com
[6] go.jp

Top Domains in Tweet in G7:
[120] cdc.gov
[99] recombinomics.co
[26] ibaraki.jp
[19] go.jp
[15] go.kr
[14] lg.jp
[12] twitter.com
[10] gob.es
[6] who.int
[6] ncov.se

Top Domains in Tweet in G8:
[35] cdc.gov
[2] twitter.com

Top Domains in Tweet in G9:
[69] cdc.gov
[1] traviscountytx.gov
[1] vaccines.gov

Top Domains in Tweet in G10:
[10] publichealthontario.ca
[10] cdc.gov
[1] ourworldindata.org
[1] scientificamerican.com
[1] globalepidemics.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[380] covid19
[360] 新型コロナウイルス感染症情報
[320] covid_19
[63] covid19vaccines
[40] coronavirus
[26] longcovid
[22] asturias
[20] cdc
[20] covid
[18] unitedstates



Top Hashtags in Tweet in G1:
[23] covid_19
[10] article68
[7] macron
[6] wef
[5] cac40
[5] france
[5] dontpayfr
[5] macrondestitution
[4] fauci
[4] kiev

Top Hashtags in Tweet in G2:
[246] covid19
[18] covid
[9] backtoschool
[6] cdc
[2] sleeveup
[2] twitter
[2] dyk
[2] icymi
[2] nbm22
[2] porsiteloperdiste

Top Hashtags in Tweet in G3:
[1] covid19

Top Hashtags in Tweet in G4:
[1] moderna
[1] douguina
[1] ukraine
[1] azov

Top Hashtags in Tweet in G5:
[1] macronlefou
[1] anneheche
[1] otan
[1] moscou
[1] kremlin
[1] ukraine
[1] enqlé
[1] détail
[1] ue
[1] frexit

Top Hashtags in Tweet in G6:
[10] 千葉県庁
[7] 佐倉
[7] sakuracity
[6] 広島県
[6] 新型コロナ
[4] 新型コロナウイルス感染症情報

Top Hashtags in Tweet in G7:
[32] covid19
[8] coronavirus
[5] 新型コロナ
[5] cdc
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[5] 공공데이터
[5] medicaldata
[5] publicdata

Top Hashtags in Tweet in G8:
[36] covid19
[18] unitedstates
[2] fjb
[1] novakdjokovic
[1] america
[1] letnovakplay

Top Hashtags in Tweet in G9:
[62] covid19vaccines
[19] covid19
[1] 40kyourway

Top Words
Top Words in Tweet in Entire Graph:
[2774] _2019_ncov
[856] covid
[667] 19
[593] casos
[583] cdcgov
[567] co
[484] cdc
[459] c'est
[418] ce
[380] #covid19

Top Words in Tweet in G1:
[1423] _2019_ncov
[299] c'est
[265] ce
[245] ils
[183] plus
[175] mais
[161] ah
[161] ça
[156] sont
[153] tout

Top Words in Tweet in G2:
[556] cdcgov
[315] school
[293] child
[256] parents
[246] #covid19
[208] sick
[196] home
[195] cough
[195] fever
[195] sore

Top Words in Tweet in G3:
[280] sukunabikona7
[204] 国立感染研の研究では無症状者であっても感染性のあるウイルスの排出は診断7日目までは見られている
[204] 有症状者に比べると少ないとは言え
[204] 無視していい数字なのか
[156] 感染性がある
[78] オミクロンでも発症8日目で25
[78] は培養陽性
[78] だったという研究も
[78] また感染研ではオミクロンで発症15日以降でようやくウイルス分離可能な
[78] 検体が0

Top Words in Tweet in G4:
[154] _2019_ncov
[43] yvespdb
[26] rien
[24] aux
[24] français
[24] myriamfournie10
[23] doit
[22] voyage
[22] cher
[21] être

Top Words in Tweet in G5:
[472] _2019_ncov
[104] bfmtv
[60] c'est
[54] cnews
[47] plus
[45] lci
[45] davidpujadas
[45] tf1
[44] francetele
[44] 24hpujadas

Top Words in Tweet in G6:
[170] chibaken_kouhou
[153] hiroshima_pref
[149] co
[129] 本日
[129] の広島県内の感染状況
[129] 本日の感染者はコチラ
[129] information
[129] multiple
[129] languages
[129] covid

Top Words in Tweet in G7:
[202] covid
[125] ncov
[114] 2019
[109] cases
[104] 19
[102] deaths
[99] increase
[99] recombinomics
[99] inc
[33] cdc

Top Words in Tweet in G8:
[71] cdc
[57] requirements
[57] vaccine
[55] breaking
[55] entry
[55] discriminatory
[54] update
[54] international
[54] travellers
[54] keep

Top Words in Tweet in G9:
[188] auspublichealth
[134] cdc
[124] free
[79] covid
[79] 19
[76] vaccines
[76] protection
[73] booster
[71] shot
[71] over

Top Words in Tweet in G10:
[6] data
[5] msabouri
[5] takethatct
[4] vprasadmdmph
[4] covid
[4] ryanbeed
[4] real_seeking
[4] tmafkab
[4] clarecraigpath
[4] doses

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[612] covid,19
[361] 本日の退院,退所等者数
[354] ibaraki_kouhou,#新型コロナウイルス感染症情報
[295] informe,diario
[295] diario,#covid_19
[295] casos,nuevos
[295] casos,activos
[295] fallecidos,registrados
[290] 詳細,co
[289] ministeriosalud,informe

Top Word Pairs in Tweet in G1:
[83] ah,ah
[42] _2019_ncov,edfofficiel
[40] ils,sont
[36] ils,ont
[36] _2019_ncov,c'est
[30] _2019_ncov,ils
[23] alanbick3,_2019_ncov
[21] t_nenninger,_2019_ncov
[20] 15,000
[20] _2019_ncov,verity_france

Top Word Pairs in Tweet in G2:
[252] cdcgov,parents
[195] parents,child
[195] child,sick
[195] sick,cough
[195] cough,fever
[195] fever,sore
[195] sore,throat
[195] throat,vomiting
[195] vomiting,diarrhea
[195] diarrhea,stay

Top Word Pairs in Tweet in G3:
[204] 国立感染研の研究では無症状者であっても感染性のあるウイルスの排出は診断7日目までは見られている,有症状者に比べると少ないとは言え
[204] 有症状者に比べると少ないとは言え,無視していい数字なのか
[203] sukunabikona7,国立感染研の研究では無症状者であっても感染性のあるウイルスの排出は診断7日目までは見られている
[78] オミクロンでも発症8日目で25,は培養陽性
[78] は培養陽性,感染性がある
[78] 感染性がある,だったという研究も
[78] だったという研究も,また感染研ではオミクロンで発症15日以降でようやくウイルス分離可能な
[78] また感染研ではオミクロンで発症15日以降でようやくウイルス分離可能な,感染性がある
[78] 感染性がある,検体が0
[77] sukunabikona7,オミクロンでも発症8日目で25

Top Word Pairs in Tweet in G4:
[28] yvespdb,_2019_ncov
[22] _2019_ncov,voyage
[21] voyage,rien
[21] rien,coûté
[21] coûté,cher
[21] cher,aux
[21] aux,contribuables
[21] contribuables,français
[21] peuple,doit
[20] myriamfournie10,_2019_ncov

Top Word Pairs in Tweet in G5:
[44] _2019_ncov,bfmtv
[44] davidpujadas,24hpujadas
[26] cruz374,_2019_ncov
[24] _2019_ncov,cnews
[23] cnews,lci
[23] lci,bfmtv
[23] bfmtv,francetele
[23] francetele,davidpujadas
[23] 24hpujadas,tf1
[21] france2tv,bfmtv

Top Word Pairs in Tweet in G6:
[129] の広島県内の感染状況,本日の感染者はコチラ
[129] 本日の感染者はコチラ,co
[129] information,multiple
[129] multiple,languages
[129] languages,covid
[129] covid,19
[123] hiroshima_pref,本日
[100] co,aynlae1ivh
[100] aynlae1ivh,information
[89] の新型コロナウイルス感染症の情報,新規感染者数

Top Word Pairs in Tweet in G7:
[113] 2019,ncov
[99] cases,increase
[99] ncov,recombinomics
[99] recombinomics,inc
[96] covid,cases
[85] covid,19
[17] learn,more
[15] 19,vaccine
[13] 19,vaccines
[12] döda,har

Top Word Pairs in Tweet in G8:
[55] breaking,cdc
[54] cdc,update
[54] update,entry
[54] entry,requirements
[54] requirements,international
[54] international,travellers
[54] travellers,keep
[54] keep,usa's
[54] usa's,discriminatory
[54] discriminatory,vaccine

Top Word Pairs in Tweet in G9:
[79] covid,19
[71] booster,shot
[71] over,time
[70] shot,vaccines
[70] vaccines,including
[70] including,covid
[70] 19,vaccine
[70] vaccine,protection
[70] protection,wear
[70] wear,over

Top Word Pairs in Tweet in G10:
[3] dalmane15,iainmulady
[3] iainmulady,cbeckj
[3] cbeckj,ryanbeed
[3] ryanbeed,saltaovladimir
[3] saltaovladimir,ptcjoneses
[3] ptcjoneses,oxharryh1
[3] oxharryh1,effink777
[3] effink777,johnree58027351
[3] johnree58027351,kaffir_kanuck
[3] kaffir_kanuck,kovidiots

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@bfmtv
@takeheight
@pretressealexia
@marilynnemeur
@ciepac_2012
@lci
@carambaraaa
@cojmontalto
@saintete_pepe

Top Replied-To in G1:
@_2019_ncov
@bfmtv
@takeheight
@marilynnemeur
@ciepac_2012
@lci
@alanbick3
@carambaraaa
@cojmontalto
@upr_asselineau

Top Replied-To in G2:
@dellaluna
@horny_antifa
@elzine21
@cdcgov
@ecotraveler
@sydneylwatson
@shalhoubrenee
@leftychris2
@genjibear
@danielgerling

Top Replied-To in G3:
@fukohokkaido

Top Replied-To in G4:
@_2019_ncov
@yvespdb
@sitting_bull_d
@allanicfabian
@myriamfournie10
@greyjoaz
@phil_monteret
@pandantag
@poulin2012
@mercicitron

Top Replied-To in G5:
@_2019_ncov
@pretressealexia
@cruz374
@barbero94181944
@dupond_et
@mariechoupette2
@patroclebird
@pierrezappa
@ninojjs
@bandedeclown

Top Replied-To in G6:
@bi_knc
@nonose987
@nagomi_wa_imi

Top Replied-To in G8:
@lavern_spicer
@joefromamerica
@sammistitches
@davidpember
@og_perrosalado
@manopalanivelu
@tedcruz
@intothewest127
@trish_regan
@rebeccamkiel

Top Replied-To in G10:
@dalmane15
@drjbhattacharya
@tracybethhoeg
@msabouri
@willyknows_best
@people_wee
@infobot13
@macj007c
@dk_burr
@need_inputjp

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@cdcgov
@ibaraki_kouhou
@ministeriosalud
@sukunabikona7
@auspublichealth
@chibaken_kouhou
@bfmtv
@hiroshima_pref
@edfofficiel

Top Mentioned in G1:
@_2019_ncov
@edfofficiel
@bfmtv
@verity_france
@lci
@giberpa
@alanbick3
@_samedi_
@t_nenninger
@ciepac_2012

Top Mentioned in G2:
@cdcgov
@repthomasmassie
@cinnamonmelody2
@dellaluna
@cdcespanol
@usedgov
@mnstatefair
@mnhealth
@littlelobbyists
@alexander_tin

Top Mentioned in G3:
@sukunabikona7
@narumita
@tm_quencher
@motoisuzuki
@mph_for_doctors
@cdcgov

Top Mentioned in G4:
@_2019_ncov
@yvespdb
@myriamfournie10
@nicolas20048332
@pandantag
@f_philippot
@poulin2012
@enmodemacaron
@55bellechasse
@jgalt485

Top Mentioned in G5:
@_2019_ncov
@bfmtv
@cnews
@davidpujadas
@tf1
@lci
@francetele
@24hpujadas
@france2tv
@cruz374

Top Mentioned in G6:
@chibaken_kouhou
@hiroshima_pref
@funwari_fuwari
@ibaraki_kouhou
@cv_9170
@bousai_sakura
@covid19times_pr
@ooaminavi
@mikito_777
@sukunabikona7

Top Mentioned in G7:
@drml350phd
@nekonotens
@computertroubl7
@rtkumagaya
@nicovillanueva
@grimmroy
@clubfmphilly

Top Mentioned in G8:
@benleo444
@org_scp
@cdcdirector
@djokernole
@usopen
@cdcgov
@pavyg
@cdc
@lavern_spicer
@drloupis

Top Mentioned in G9:
@auspublichealth
@cdcmmwr
@azdhs
@cdcgov

Top Mentioned in G10:
@takethatct
@vprasadmdmph
@ryanbeed
@msabouri
@real_seeking
@tmafkab
@clarecraigpath
@iainmulady
@cbeckj
@saltaovladimir

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@threadreaderapp
@oldlady12345
@dichristine
@ecodaren
@matiere
@rodolfoxoliz
@citrus_kyoto
@ginniasa
@lizditz

Top Tweeters in G1:
@threadreaderapp
@botliberalisme
@thalassa2008
@elisahk92
@nausicalibre
@cnbc
@nicolarsouil
@barberis888
@levyloiseau
@afpfr

Top Tweeters in G2:
@wadakashiho
@adekleine
@tyberzannxxxx
@nozakitakehide
@bad_woof
@paulmick
@npazderski
@pameladubsky49
@_strate
@pennytindall

Top Tweeters in G3:
@kokusizu2
@n_zako
@otakutokkai
@beerlove_ryo
@nancy_moon_1789
@halpal02_mof28
@y_choro1
@kasshini_gnade
@mayerling_mio
@5910mikiya

Top Tweeters in G4:
@sonialavera
@altai_armande
@yvespdb
@mi1789
@lasagesse78190
@zerohedge
@domjdom
@anabellatibo
@solarcx69
@planetes360

Top Tweeters in G5:
@bfmtv
@talullabellefle
@thierryrouby
@cnews
@cochise561
@morandiniblog
@porthosmd
@paflaragepaf
@chantalrobertet
@guitfast

Top Tweeters in G6:
@ecodaren
@kyuukoumiyosi
@eimc3z
@turututukotokot
@tanimoshinden
@shizzca
@k6310msm
@akashi1nuzuka
@nonmomi
@shinngen50

Top Tweeters in G7:
@matiere
@personalfitnes3
@bokura
@ssharma68
@didaclopez
@baixsegura_es
@madomakusu
@aureliobelandom
@eimiiiiiy
@fobosmkz

Top Tweeters in G8:
@dichristine
@eilonwy24
@leanirigoyen26
@caroltpsworld
@annasilvani
@carlenegarriso6
@djokersa
@jojones2762
@yolitatennis
@newmumonline

Top Tweeters in G9:
@oldlady12345
@dancas2
@awelab1956
@ecclesias
@cblazblaz
@lorettabower3
@mdjacksondallas
@fran_neena20409
@gregmroscoe
@ajgma

Top Tweeters in G10:
@paulwiggins
@abc
@rolo_tamasi
@gnomeicide
@scepticalaussie
@npr
@sesiegler
@takethatct
@breezergalway
@zubymusic


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