NCoV, Twitter, 12/31/2021 5:46:42 PM, 269269


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NCoV_2021-12-31_01-58-20.xlsx
NCoV_2021-12-31_01-58-20.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 31, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3zeWY0X
@cdcgov
@gab_h_r
@_2019_ncov
@nytimes
@holdingon8
@sallyfereday
@carpe_diem0820
@ckbrym
@jljcolorado
@thechiefnerd

Top hashtags:
#covid19
#新型コロナウイルス
#parents
#covid
#covid_19
#sarscov2
#더안전한_더나은일상
#3차접종
#coronavirus
#vacunación

Description:
Description
The graph represents a network of 8,292 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 Friday, 31 December 2021 at 10:14 UTC.

The requested start date was Friday, 31 December 2021 at 01:01 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 2-day, 11-hour, 54-minute period from Tuesday, 28 December 2021 at 00:29 UTC to Thursday, 30 December 2021 at 12:24 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 : 8292
Unique Edges : 5087
Edges With Duplicates : 11156
Total Edges : 16243
Number of Edge Types : 5
Retweet : 4539
MentionsInRetweet : 5705
Replies to : 1538
Mentions : 3046
Tweet : 1415
Self-Loops : 1454
Reciprocated Vertex Pair Ratio : 0.0111889692585895
Reciprocated Edge Ratio : 0.0221303230133005
Connected Components : 1291
Single-Vertex Connected Components : 473
Maximum Vertices in a Connected Component : 4286
Maximum Edges in a Connected Component : 11056
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.526365
Graph Density : 0.00013014012776802
Modularity : 0.54928
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,292 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 Friday, 31 December 2021 at 10:14 UTC.

The requested start date was Friday, 31 December 2021 at 01:01 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 2-day, 11-hour, 54-minute period from Tuesday, 28 December 2021 at 00:29 UTC to Thursday, 30 December 2021 at 12:24 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:
[241] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[80] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html
[77] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[63] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[56] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[55] https://nextstrain.org/ncov/gisaid/global
[54] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[51] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti49.html
[50] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[47] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_532_COVID-19.pdf

Top URLs in Tweet in G1:
[11] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/
[10] https://twitter.com/mazagan_ft/status/1475806026146459651?s=21
[9] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/#formulaire
[6] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/?source=LLB226860001&co_source1=TSA226950001&utm_campaign=non-au-pass-vaccinal&utm_source=labe&utm_medium=emailing&utm_source=sfmc&utm_medium=email&utm_campaign=annonce+LCI&isBat=false&d=LABE%20ALL&sk=YWduZXMuaGVjdG9yMUBnbWFpbC5jb20=&e=0f27222d0ba344ae11a65a3957c7716991c529b1c8188ece5f4f2b3a3e5993fb&j=726328&l=140&b=26031&sid=7803882&senddate=2021-12-28
[5] https://odysee.com/@freehumansloveforall:d/Rodolphe-Bacquet-sur-LCI-TV-28-decembre-2021:2
[4] https://www.francesoir.fr/politique-france/plainte-bonsens-palombi-et-journalistes#.YcsC_DO9-Vs.twitter
[3] https://petitions.assemblee-nationale.fr/initiatives/i-495
[3] https://twitter.com/MartineWonner/status/1473672821607968778?t=ifltoLoGN8h3Ux2MY33qYA&s=19
[2] https://twitter.com/MRK29384/status/1475941447652323328
[2] https://pgibertie.com/2021/12/29/le-danger-ce-nest-pas-omicron-mais-les-hysteriques-qui-dirigent-la-france/

Top URLs in Tweet in G2:
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[11] https://www.who.int/news/item/24-08-2020-172-countries-and-multiple-candidate-vaccines-engaged-in-covid-19-vaccine-global-access-facility
[11] https://www.ninds.nih.gov/Current-Research/Coronavirus-and-NINDS/nervous-system#:~:text=In%20some%20people%2C%20response,too%20early%20to%20tell
[11] https://www.eeoc.gov/genetic-information-discrimination
[7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html
[6] https://lda.senate.gov/filings/public/filing/8fc0d400-e8da-4205-975a-f50d49a84cd0/print/
[6] https://www.cdc.gov/media/releases/2021/s1227-isolation-quarantine-guidance.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/hcp/mitigating-staff-shortages.html

Top URLs in Tweet in G3:
[6] https://nextstrain.org/ncov/gisaid/global
[3] https://www.cdc.gov/mmwr/volumes/70/wr/mm7027e2.htm
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[3] https://www.cdc.gov/vaccines/acip/meetings/slides-2021-11-2-3.html
[3] https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2021/Ausgaben/33_21.pdf?__blob=publicationFile
[1] https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2021/Ausgaben/23_21.pdf?__blob=publicationFile
[1] https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2022/Ausgaben/02_22.pdf?__blob=publicationFile
[1] https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/aufklaerungsbogen-kinder.pdf.download.pdf/211224_DE_CoVi_Impfung_Aufklaerungsbogen_mRNA_Kinder.pdf
[1] https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv#L37
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/capacidadAsistencial.htm

Top URLs in Tweet in G4:
[13] https://www.cdc.gov/csels/dls/locs/2021/07-21-2021-lab-alert-Changes_CDC_RT-PCR_SARS-CoV-2_Testing_1.html
[11] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html
[9] https://nextstrain.org/ncov/gisaid/global
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[8] https://www.pref.shizuoka.jp/kousei/ko-420a/kansen/ncov-kensamuryou.html
[8] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti49.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[6] https://systems.jhu.edu/research/public-health/ncov/
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html

Top URLs in Tweet in G5:
[73] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[7] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti49.html
[1] https://twitter.com/kumagai_chiba/status/1475591729319673856

Top URLs in Tweet in G6:
[8] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-enhanced-estimates-omicron-severity-study.pdf?sc_lang=en
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-risk-assesment-hcp.html
[1] https://nextstrain.org/ncov/gisaid/global
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/mitigating-staff-shortages.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-daily-epi-summary-report.pdf?sc_lang=en
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-omicron-weekly-epi-summary.pdf?sc_lang=en

Top URLs in Tweet in G7:
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/decontamination-reuse-respirators.html
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695943/
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-options-to-reduce-quarantine.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/china-2019-ncov/821830-china-original-covid-19-coronavirus-news-thread-weeks-1-4-december-30-2019-january-25-2020#post821832

Top URLs in Tweet in G8:
[1] https://nextstrain.org/groups/neherlab/ncov/france?branchLabel=none&c=gt-S_69&d=tree,entropy,frequencies&f_clade_membership=21J%20%28Delta%29>=S.484A,484Q,69-&l=radial&p=full&r=country&tl=S1_mutations
[1] https://nextstrain.org/groups/neherlab/ncov/france?branchLabel=none&c=gt-S_484&d=tree,entropy,frequencies&f_clade_membership=21J%20%28Delta%29&f_country=France>=S.484A,484Q&l=radial&p=full&r=country&tl=S1_mutations
[1] https://nextstrain.org/groups/neherlab/ncov/united-kingdom?branchLabel=none&c=gt-S_484&d=tree,entropy,frequencies&dmin=2021-11-02&f_clade_membership=21J%20%28Delta%29&f_country=United%20Kingdom&f_recency=3-7%20days%20ago&gmin=15&l=scatter&p=full&r=country&tl=S1_mutations
[1] https://nextstrain.org/ncov/gisaid/global?s=hCoV-19/Mauritius/CERI-KRISP-K033286/2021
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_532_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_530_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_531_COVID-19.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://twitter.com/CBSMiami/status/1476112020302876679

Top URLs in Tweet in G9:
[65] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html
[32] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10873-covid19-65.html
[5] https://youtu.be/bbnzb2UqdjI
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://twitter.com/carpe_diem0820/status/1472908288962740231
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE-recommendation-heterologous-schedules
[1] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

Top URLs in Tweet in G10:
[28] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_532_COVID-19.pdf
[24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20211229.pdf
[14] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_531_COVID-19.pdf
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20211228.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20211227.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_530_COVID-19.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm
[3] https://www.vacunacovid.gob.es/
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/COVID19_Actualizacion_variantes_20211227.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[1335] cdc.gov
[246] ibaraki.jp
[243] gob.es
[219] lg.jp
[149] twitter.com
[139] go.jp
[107] gencat.cat
[102] who.int
[85] recombinomics.co
[76] nextstrain.org

Top Domains in Tweet in G1:
[60] twitter.com
[29] leslignesbougent.org
[8] youtube.com
[8] francesoir.fr
[5] odysee.com
[3] pgibertie.com
[3] medrxiv.org
[3] lefigaro.fr
[3] assemblee-nationale.fr
[2] flipboard.com

Top Domains in Tweet in G2:
[133] cdc.gov
[14] who.int
[11] nih.gov
[11] eeoc.gov
[6] senate.gov
[5] twitter.com
[3] bit.ly
[3] arcgis.com
[2] gob.es
[2] nextstrain.org

Top Domains in Tweet in G3:
[9] cdc.gov
[6] nextstrain.org
[5] rki.de
[1] admin.ch
[1] github.com
[1] gob.es
[1] twitter.com

Top Domains in Tweet in G4:
[193] cdc.gov
[30] twitter.com
[23] go.jp
[21] lg.jp
[14] gencat.cat
[13] nextstrain.org
[12] who.int
[10] go.kr
[9] shizuoka.jp
[9] gob.es

Top Domains in Tweet in G5:
[80] lg.jp
[1] twitter.com

Top Domains in Tweet in G6:
[10] publichealthontario.ca
[4] cdc.gov
[1] nextstrain.org

Top Domains in Tweet in G7:
[4] cdc.gov
[1] nih.gov
[1] flutrackers.com

Top Domains in Tweet in G8:
[4] nextstrain.org
[3] gob.es
[1] cdc.gov
[1] twitter.com

Top Domains in Tweet in G9:
[97] go.jp
[5] youtu.be
[1] ibaraki.jp
[1] twitter.com
[1] who.int
[1] lg.jp

Top Domains in Tweet in G10:
[102] gob.es
[1] nextstrain.org
[1] cdc.gov
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[668] covid19
[238] 新型コロナウイルス
[59] parents
[57] covid
[51] covid_19
[51] sarscov2
[46] 더안전한_더나은일상
[40] 3차접종
[35] coronavirus
[34] vacunación



Top Hashtags in Tweet in G1:
[14] pcr
[10] usa
[10] test
[10] virus
[9] covid_19
[9] nonaupassvaccinal
[9] rodolphebacquet
[7] passvaccinal
[7] mafiosi
[6] lrem

Top Hashtags in Tweet in G2:
[409] covid19
[56] parents
[12] omicron
[10] getvaxxed
[5] nye
[4] covid
[3] coronavirus
[3] china
[3] omicronvariant
[3] ncov

Top Hashtags in Tweet in G3:
[1] u12
[1] omicron
[1] omikron
[1] newdelta

Top Hashtags in Tweet in G4:
[25] covid19
[9] omicron
[6] coronavirus
[3] sarscov2
[2] ncov
[2] unionsacree
[2] covid
[2] covid19vaccines
[2] pcr検査
[2] fdo

Top Hashtags in Tweet in G6:
[2] hiddenheros
[2] covid19
[1] covidvariant

Top Hashtags in Tweet in G7:
[2] sarscov2
[1] timeline

Top Hashtags in Tweet in G8:
[36] covid19
[1] parents
[1] sarscov2

Top Hashtags in Tweet in G9:
[5] ワクチン
[5] 混合接種
[5] 5分でわかるサイエンス
[1] 新型コロナウイルス

Top Hashtags in Tweet in G10:
[43] covid19
[32] vacunación
[7] yomevacunoseguro
[2] omicron

Top Words
Top Words in Tweet in Entire Graph:
[1555] delta
[1405] variant
[1226] omicron
[1070] more
[1052] gino_2019_ncov
[1045] covid
[1015] cdc
[801] 10
[787] 19
[725] mutations

Top Words in Tweet in G1:
[766] gino_2019_ncov
[195] ce
[186] plus
[185] _2019_ncov
[153] ils
[120] lci
[112] même
[111] fait
[105] mais
[99] ont

Top Words in Tweet in G2:
[557] cdcgov
[409] #covid19
[407] vaccine
[301] omicron
[253] help
[192] safe
[173] vaccines
[145] vaccinated
[144] more
[141] using

Top Words in Tweet in G3:
[1103] delta
[1102] variant
[551] omicron
[548] source
[547] appeared
[547] 10
[547] more
[547] mutations
[547] similar
[546] gab_h_r

Top Words in Tweet in G4:
[157] cdc
[153] gino_2019_ncov
[122] covid
[109] 19
[96] 2019
[95] ncov
[55] 2021
[54] coronavirus
[52] pcr
[42] use

Top Words in Tweet in G5:
[120] 本日より感染に不安を感じる無症状の県民の皆様が希望する場合に
[120] 無料で検査を受けることができるようにしました
[120] 陰性でも感染している可能性が否定されたわけではない
[120] 体調が悪い場合は医療機関の受診を
[120] 等の内容をご確認の上ご利用下さい
[119] kumagai_chiba
[119] ht
[109] chibaken_kouhou
[69] の新型コロナウイルス感染症の情報
[69] 新規感染者数

Top Words in Tweet in G6:
[156] delta
[138] matched
[138] cohort
[138] severity
[137] vs
[127] death
[123] publichealthon
[121] work
[119] labradorice
[118] dfisman

Top Words in Tweet in G7:
[138] risk
[137] data
[137] cdcs
[137] website
[137] showing
[137] quarantine
[137] transmission
[137] remains
[137] close
[137] 40

Top Words in Tweet in G8:
[121] delta
[80] mutations
[68] unusual_times
[50] e484a
[48] half
[48] flag
[48] seeing
[48] lot
[48] recently
[48] mutation

Top Words in Tweet in G9:
[49] 以上
[47] carpe_diem0820
[45] 10
[43] motoisuzuki
[43] 2020
[43] 2021
[43] 11
[43] 15間の東京都sarscov
[43] 2陽性患者
[43] 60代以上のワクチン接種による死亡予防効果は98

Top Words in Tweet in G10:
[82] sanidadgob
[76] actualización
[46] datos
[43] #covid19
[41] coronavirus
[40] infografías
[40] materiales
[36] informe
[36] españa
[32] actividad

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1225] delta,variant
[690] covid,19
[678] similar,omicron
[643] 10,more
[643] more,mutations
[642] mutations,similar
[580] variant,delta
[572] variant,appeared
[572] appeared,10
[572] omicron,source

Top Word Pairs in Tweet in G1:
[48] gino_2019_ncov,lci
[47] ils,ont
[43] alsatsang,gino_2019_ncov
[38] gentillealloue1,gino_2019_ncov
[38] secretwar_,gino_2019_ncov
[37] lci,fait
[37] fait,coup
[37] coup,patient
[37] patient,douteux
[37] douteux,même

Top Word Pairs in Tweet in G2:
[248] #covid19,vaccine
[126] cdcgov,yes
[125] yes,studies
[125] studies,shown
[125] shown,safe
[125] vaccine,vaccines
[125] vaccines,including
[124] safe,children
[124] children,#covid19
[124] including,flu

Top Word Pairs in Tweet in G3:
[1094] delta,variant
[555] variant,delta
[547] variant,appeared
[547] appeared,10
[547] 10,more
[547] more,mutations
[547] mutations,similar
[547] similar,omicron
[547] omicron,source
[545] gab_h_r,delta

Top Word Pairs in Tweet in G4:
[94] covid,19
[59] 2019,ncov
[46] coronavirus,2019
[38] cdc,2019
[36] 2019,novel
[36] novel,coronavirus
[35] emergency,use
[33] fda,emergency
[33] use,authorization
[32] 2021,cdc

Top Word Pairs in Tweet in G5:
[120] 本日より感染に不安を感じる無症状の県民の皆様が希望する場合に,無料で検査を受けることができるようにしました
[120] 無料で検査を受けることができるようにしました,陰性でも感染している可能性が否定されたわけではない
[120] 陰性でも感染している可能性が否定されたわけではない,体調が悪い場合は医療機関の受診を
[120] 体調が悪い場合は医療機関の受診を,等の内容をご確認の上ご利用下さい
[119] kumagai_chiba,本日より感染に不安を感じる無症状の県民の皆様が希望する場合に
[119] 等の内容をご確認の上ご利用下さい,ht
[69] の新型コロナウイルス感染症の情報,新規感染者数
[69] 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
[69] 県ホームページの更新は翌日,土日祝日を除く
[69] 土日祝日を除く,になります

Top Word Pairs in Tweet in G6:
[138] matched,cohort
[137] vs,delta
[118] elegant,work
[118] work,publichealthon
[118] publichealthon,matched
[118] cohort,severity
[118] severity,hosp
[118] hosp,death
[118] death,omi
[118] omi,vs

Top Word Pairs in Tweet in G7:
[137] data,cdcs
[137] cdcs,website
[137] website,showing
[137] showing,quarantine
[137] quarantine,transmission
[137] transmission,risk
[137] risk,remains
[137] remains,close
[137] close,40
[137] 40,ended

Top Word Pairs in Tweet in G8:
[48] half,flag
[48] flag,seeing
[48] seeing,lot
[48] lot,delta
[48] delta,recently
[48] recently,e484a
[48] e484a,mutation
[48] mutation,belongs
[47] unusual_times,half
[47] belongs,omicr

Top Word Pairs in Tweet in G9:
[43] 2020,10
[43] 10,2021
[43] 2021,11
[43] 11,15間の東京都sarscov
[43] 15間の東京都sarscov,2陽性患者
[43] 2陽性患者,60代以上のワクチン接種による死亡予防効果は98
[43] 60代以上のワクチン接種による死亡予防効果は98,以上
[43] 以上,ブレイクスルー感染者でも約80
[42] carpe_diem0820,2020
[42] ブレイクスルー感染者でも約80,東京都におけるサーベイランスデータを用いた死亡回避の新型コロナワクチ

Top Word Pairs in Tweet in G10:
[65] sanidadgob,actualización
[40] actualización,datos
[40] datos,#covid19
[40] #covid19,infografías
[40] infografías,materiales
[40] materiales,coronavirus
[32] actualización,informe
[32] informe,actividad
[32] actividad,#vacunación
[32] #vacunación,españa

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@aureliem0813
@medic4allhuman
@j2lm4u
@lillycachou
@alsatsang
@laurentdodet
@joelledelislet
@mehetia1

Top Replied-To in G1:
@_2019_ncov
@aureliem0813
@medic4allhuman
@j2lm4u
@lillycachou
@alsatsang
@laurentdodet
@dindjar95365180
@joelledelislet

Top Replied-To in G2:
@whitehouse
@michaelmina_lab
@erictopol
@presssec
@laurenboebert
@mtgreenee
@cdcgov
@meaghanthumath
@_eric_reinhart
@mugecevik

Top Replied-To in G3:
@rapunzel_1977
@christineloriol
@gab_h_r

Top Replied-To in G4:
@byuoritter

Top Replied-To in G6:
@veganlovebunny
@centralguynow
@publichealthon

Top Replied-To in G7:
@coviddc

Top Replied-To in G8:
@jennyeverest1

Top Replied-To in G10:
@blasignacio
@27defebrero2019
@davidcalle1390
@max_ag_
@lourdeslopezrom
@plaza_bickle
@xoxoromero
@manzorro_luisr
@angelpanizoc
@joancayla

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@gab_h_r
@ibaraki_kouhou
@haithamahmedmd
@publichealthon
@labradorice
@dfisman
@kumagai_chiba
@chibaken_kouhou

Top Mentioned in G1:
@_2019_ncov
@yvespdb
@lci
@ericbrunet
@alsatsang
@bacquetrodolphe
@louan07
@secretwar_
@babinfrank1

Top Mentioned in G2:
@cdcgov
@who
@fema
@cdc
@longcovidkids
@michaelmina_lab
@nih
@useeoc
@hhsgov
@hhs_ash

Top Mentioned in G3:
@gab_h_r
@pr_logos
@caethan13
@lebenwunder
@rapunzel_1977
@romainmartinio
@thechiefnerd

Top Mentioned in G4:
@easytime4
@joelbomane
@shadowremoteone
@vinlove
@odiledori
@ehparents
@raymondthiebaut

Top Mentioned in G5:
@kumagai_chiba
@chibaken_kouhou
@kamiya_shunichi
@yoshimi_oowa61
@chiba_bousai

Top Mentioned in G6:
@publichealthon
@labradorice
@dfisman
@billius27
@edtubb
@gab_h_r
@cdc_firstline
@mlpaoceo
@mlpaonews
@romainmartinio

Top Mentioned in G7:
@haithamahmedmd
@masknerd
@coviddc
@unusual_times
@sixandlaura

Top Mentioned in G8:
@unusual_times
@kr3at
@la_resistensia_
@gab_h_r
@guptar_lab
@cdcgov
@cellcellpress

Top Mentioned in G9:
@carpe_diem0820
@motoisuzuki
@sukunabikona7
@mepbphhond_
@whokobe
@minesoh
@gab_h_r
@ibaraki_kouhou
@chibaken_kouhou
@hichachu

Top Mentioned in G10:
@sanidadgob
@deprecarios
@jorgefdezparra
@max_ag_
@idiazayuso
@telediario_tve
@melpetitpois
@asnala_
@saludmadrid
@plaza_bickle

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@americanair
@jurylady5
@ecodaren
@tradermarcocost
@matiere
@mtokj307
@robre62
@british_airways
@k1a1zzz

Top Tweeters in G1:
@m2bliquis
@thalassa2008
@botliberalisme
@le_figaro
@bfmtv
@actusnonstop
@fleur2108
@afpfr
@yvespdb
@mi1789

Top Tweeters in G2:
@jurylady5
@kat4obama
@rjber15
@nobby15
@gojira007x
@john1966olsen
@katcapps
@eykis
@its_coachb
@protestmusica

Top Tweeters in G3:
@westinghouse565
@maybel65
@msmwatchdog2013
@bb45_colorado
@milatrud11
@sedzir
@anselmonadir
@furocola
@jrdm_rose
@pmigraine1

Top Tweeters in G4:
@matiere
@toicitiesnews
@justiceoutcry
@gooochin
@kazooooya
@cunningham_cch
@hiyo_hairyheart
@haolethai
@koutm
@govrte

Top Tweeters in G5:
@mtokj307
@jk55og
@ttachibana0720
@ma108p
@terako_123
@yamadadeii
@shionobe
@tk81136745
@h_iro_123
@mihamataro

Top Tweeters in G6:
@lizditz
@joannecangal
@hopealdridge
@natricer
@kirkmurphy
@forgerat
@geoffypjohnston
@carstarr6
@lmv6719
@24thminute

Top Tweeters in G7:
@inabster
@menabster
@sar_oso
@frazzling
@familygrowing1
@newsofmideast
@inforenique
@amaditalks
@frannyhelen
@wmn4srvl

Top Tweeters in G8:
@redboybroken
@ladym3033
@paulpaul49
@alykhansatchu
@197winstonsmith
@heather63262308
@cangal_39
@frank3davies
@aitorperosanz
@mixpelirroja

Top Tweeters in G9:
@madfall1213
@otakutokkai
@keinishikawa3
@pu_pti
@alsnova
@y_fujisaki
@yomisuke
@ytsuji2001
@okoze1941
@murachaki

Top Tweeters in G10:
@tradermarcocost
@demiurgotuiter
@937908mcm
@clare1959
@manolo67554861
@varanya777
@kaledian
@mire_palenzuela
@contundentee
@famartinez2001


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