NCoV, Twitter, 10/19/2020 1:26:45 PM, 238216


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NCoV_2020-10-19_01-39-19.xlsx
NCoV_2020-10-19_01-39-19.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 19, 2020
Short Description:
NCoV via NodeXL https://bit.ly/3jdqtXm
@cdcgov
@viralvideovlogs
@sanidadgob
@linseymarr
@takaakifuruya
@uchida_kawasaki
@blanc0981
@kirikami
@imamura_kansen
@saludpublicaes

Top hashtags:
#covid19
#wearamask
#coronavirus
#covid_19
#anxiety
#新型コロナウイルス
#halloween
#flu

Description:
Description
The graph represents a network of 8,010 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 Monday, 19 October 2020 at 08:49 UTC.

The requested start date was Monday, 19 October 2020 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 3-day, 12-hour, 13-minute period from Thursday, 15 October 2020 at 11:46 UTC to Monday, 19 October 2020 at 00:00 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 : 8010
Unique Edges : 3556
Edges With Duplicates : 11934
Total Edges : 15490
Number of Edge Types : 5
Retweet : 5409
MentionsInRetweet : 6058
Tweet : 1277
Replies to : 873
Mentions : 1873
Self-Loops : 1305
Reciprocated Vertex Pair Ratio : 0.00581095041322314
Reciprocated Edge Ratio : 0.0115547567081782
Connected Components : 1134
Single-Vertex Connected Components : 438
Maximum Vertices in a Connected Component : 4234
Maximum Edges in a Connected Component : 9721
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.760932
Graph Density : 0.000121414594598555
Modularity : 0.506318
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,010 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 Monday, 19 October 2020 at 08:49 UTC.

The requested start date was Monday, 19 October 2020 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 3-day, 12-hour, 13-minute period from Thursday, 15 October 2020 at 11:46 UTC to Monday, 19 October 2020 at 00:00 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:
[189] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wash-cloth-face-coverings.html
[155] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9910-covid19-25.html
[119] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[119] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[112] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/
[99] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[90] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_230_COVID-19.pdf
[68] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[63] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[59] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_229_COVID-19.pdf

Top URLs in Tweet in G1:
[16] https://www.cdc.gov/coronavirus/2019-ncov/communication/social-media-toolkit.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/8-things.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/decision-tool.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top URLs in Tweet in G2:
[43] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_230_COVID-19.pdf
[35] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_229_COVID-19.pdf
[21] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[19] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/20200325_Decalogo_como_actuar_COVID19.pdf
[7] https://cienciaysaludnatural.com/
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Recomendaciones_de_operacion_y_mantenimiento.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Guia_actuacion_centros_educativos.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_228_COVID-19.pdf
[3] https://cienciaysaludnatural.com/el-centro-de-control-de-enfermedades-admite-que-el-coronavirus-2019-ncov-aun-no-sido-aislado/
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm

Top URLs in Tweet in G3:
[28] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[20] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[19] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[11] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[10] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[9] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[9] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_230_COVID-19.pdf
[8] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/
[8] https://science.sciencemag.org/content/sci/early/2020/02/19/science.abb2507.full.pdf

Top URLs in Tweet in G4:
[15] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/communication/social-media-toolkit.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wear-cloth-face-coverings.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001566858053&utm_campaign=Short+to+Mid-Term&linkId=100000016732003
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[2] https://espanol.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/symptoms.html
[2] https://espanol.cdc.gov/coronavirus/2019-ncov/community/organizations/business-employers/limit-workplace-violence.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/downloads/eviction-moratoria-order-faqs.pdf
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wash-cloth-face-coverings.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001566802303&utm_campaign=Short%20to%20Mid-Term&linkId=100000016585021

Top URLs in Tweet in G5:
[150] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9910-covid19-25.html
[6] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9895-488p01.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov.html
[2] https://www.niid.go.jp/niid/images/epi/corona/covid19-25.pdf
[2] https://b.hatena.ne.jp/entry?url=https%3A%2F%2Fwww.niid.go.jp%2Fniid%2Fja%2Fdiseases%2Fka%2Fcorona-virus%2F2019-ncov%2F2488-idsc%2Fiasr-news%2F9895-488p01.html&utm_campaign=bookmark_share&utm_content=www.niid.go.jp&utm_medium=social&utm_source=twitter&utm_term=%E6%9A%AE%E3%82%89%E3%81%97
[1] https://www.cdc.gov/coronavirus/2019-ncov/faq.html
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b55772158724d2139725e204f325e432f59&location_id=4692540946620837922&signature=7840da49bf54cc5a1d4149449c967147e258a5c17f8a0815f94e39ecf63e0c03

Top URLs in Tweet in G6:
[13] https://www.cdc.gov/coronavirus/2019-ncov/faq.html
[6] 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#health-care-personnel
[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#trends_dailytrendscases
[2] https://www.bag.admin.ch/dam/bag/fr/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-lagebericht.pdf.download.pdf/COVID-19_Situation_epidemiologique_en_Suisse.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/guidance-for-childcare.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[1] https://www.bag.admin.ch/dam/bag/fr/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-woechentlicher-lagebericht.pdf.download.pdf/OFSP_COVID-19_rapport_hebdomadaire.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html?emci=2fdd7235-f00e-eb11-96f5-00155d03affc

Top URLs in Tweet in G7:
[87] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/
[8] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[3] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[3] https://tinyurl.com/y4daydbk
[2] https://web.gencat.cat/ca/actualitat/detall/Nova-eina-digital-contacte-covid?utm_source=facebook&utm_medium=social&utm_campaign=
[2] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/divulgacio/materials-idiomes/
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/represa-de-la-normalitat/mesures-de-proteccio
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/#bloc1
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/?utm_source=twitter&utm_medium=social&utm_campaign=
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/informacio-per-a-families/

Top URLs in Tweet in G9:
[179] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wash-cloth-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wear-cloth-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/essential-goods-services.html

Top URLs in Tweet in G10:
[5] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-testing.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/pdf/covidview-10-16-2020.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[1527] cdc.gov
[267] gob.es
[180] go.jp
[171] gencat.cat
[142] europa.eu
[124] recombinomics.co
[83] who.int
[69] twitter.com
[57] emergenza24.org
[47] fda.gov

Top Domains in Tweet in G1:
[200] cdc.gov
[5] twitter.com
[1] archive.org
[1] tn.gov
[1] gob.mx
[1] sonsoflibertymedia.com
[1] radian6.com
[1] clarkcountynv.gov
[1] milkeninstitute.org

Top Domains in Tweet in G2:
[149] gob.es
[10] cienciaysaludnatural.com
[2] gencat.cat
[1] bit.ly
[1] go.kr
[1] thecommunists.org
[1] twitter.com
[1] youtube.com
[1] mscbs.es
[1] cdc.gov

Top Domains in Tweet in G3:
[261] cdc.gov
[38] europa.eu
[25] gencat.cat
[22] gob.es
[18] twitter.com
[12] who.int
[12] scholarsportal.info
[9] sciencemag.org
[9] lg.jp
[7] fda.gov

Top Domains in Tweet in G4:
[68] cdc.gov
[2] twitter.com
[2] cmun.it
[1] bit.ly
[1] sandiegocounty.gov
[1] sozialministerium.at
[1] gencat.cat
[1] t.co
[1] usa.gov
[1] radian6.com

Top Domains in Tweet in G5:
[161] go.jp
[3] ne.jp
[1] cdc.gov

Top Domains in Tweet in G6:
[26] cdc.gov
[3] admin.ch

Top Domains in Tweet in G7:
[113] gencat.cat
[3] tinyurl.com
[1] twitter.com
[1] gob.es

Top Domains in Tweet in G9:
[182] cdc.gov

Top Domains in Tweet in G10:
[47] cdc.gov
[2] google.com
[2] twitter.com
[1] medium.com
[1] who.int
[1] bls.gov
[1] policygenius.com
[1] tn.gov
[1] breitbart.com
[1] msn.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1790] covid19
[587] wearamask
[287] coronavirus
[169] covid_19
[140] anxiety
[139] 新型コロナウイルス
[139] halloween
[121] flu
[93] covidview
[89] いばらきアマビエちゃん



Top Hashtags in Tweet in G1:
[347] wearamask
[306] covid19
[110] halloween
[102] flu
[76] covidview
[19] coronavirus
[17] publichealth
[11] 2019ncov
[11] hcps
[11] coronavirususa

Top Hashtags in Tweet in G2:
[551] covid19
[74] coronavirus
[15] nolotiresporlaborda
[12] estonoesunjuego
[3] distancia
[2] cuarentena
[2] ventilación
[1] alcohol
[1] diamundialdelrentatdemans
[1] distànciamansmascareta

Top Hashtags in Tweet in G3:
[71] covid19
[16] coronavirus
[13] covid
[13] wearamask
[9] cdc
[9] sarscov2
[7] maskup
[7] ncov
[4] travel
[4] uselections2020

Top Hashtags in Tweet in G4:
[409] covid19
[203] wearamask
[134] anxiety
[31] dyk
[14] halloween
[14] flu
[13] masks
[13] covidview
[11] ponteunamascarilla
[8] selfcare

Top Hashtags in Tweet in G6:
[4] covid19
[2] wearamask
[1] halloween
[1] flu
[1] vaxnews
[1] vaccines
[1] covid
[1] covidvaccine

Top Hashtags in Tweet in G7:
[76] covid19
[11] coronavirus
[6] canalsalut
[6] covid_19
[4] triasalut
[4] catalunya
[3] ensensortirem
[2] infostac
[2] covid
[2] 7_novetats_en_els_procediments_covid

Top Hashtags in Tweet in G8:
[11] ejércitobolivarianobicentenario
[11] fanb
[3] venezuelaesdemocraciaplena
[1] chávezpropulsordevictorias
[1] poramorachávez
[1] gasolinaparaelpueblo
[1] venezuelarespaldaleyantibloqueo
[1] tiempodeelegir
[1] puebloenresistenciaantiimperialista
[1] impulsamoslasoberaníaalimentaria

Top Hashtags in Tweet in G9:
[1] covidview
[1] hcps

Top Hashtags in Tweet in G10:
[2] covid19
[2] us
[1] revised
[1] votetrump
[1] crookedjoebiden
[1] canceltrumpout
[1] votetrumpouttoday
[1] herdimmunity
[1] covidview
[1] idiotsbothofthem

Top Words
Top Words in Tweet in Entire Graph:
[1790] #covid19
[1237] cdc
[1068] covid
[940] ncov
[925] 19
[863] 2019
[847] cdcgov
[587] #wearamask
[558] coronavirus
[522] sanidadgob

Top Words in Tweet in G1:
[696] cdcgov
[347] #wearamask
[313] others
[306] #covid19
[301] hands
[301] stay
[300] wash
[194] feet
[194] healthy
[191] apart

Top Words in Tweet in G2:
[551] #covid19
[513] sanidadgob
[356] saludpublicaes
[341] mascarilla
[291] fuera
[235] distancia
[211] manos
[211] casa
[198] lávate
[166] claves

Top Words in Tweet in G3:
[169] covid
[154] 19
[105] cdc
[97] ncov
[71] #covid19
[67] 2019
[63] more
[46] halloween
[45] coronavirus
[40] 2020

Top Words in Tweet in G4:
[409] #covid19
[237] mask
[226] help
[219] spread
[203] #wearamask
[189] hhsgov
[178] slow
[160] sure
[149] take
[149] more

Top Words in Tweet in G5:
[418] imamura_kansen
[333] 会食における集団感染リスクについて
[333] 各地でクラスター調査をしている国立感染症研究所fetpからの報告が公開されました
[333] 集団で飲酒を伴う会食
[333] については改めて別途まとめられる予定とのことです
[331] 一般的な会食における集団感染事例につ
[88] 元ツイートのリンクより以下のアドレスの方が直接アクセスできるのでおすすめです
[88] 別途リンク先を変更したツイートを公開したので
[88] リツイート等はそちらをご利用ください
[55] 一般的な会食における新型コロナウイルス集団感染事例について

Top Words in Tweet in G6:
[190] particles
[189] spreads
[188] respiratory
[188] droplets
[188] small
[188] such
[188] those
[188] aerosols
[185] cdc
[169] updated

Top Words in Tweet in G7:
[205] mesures
[151] salutcat
[146] noves
[141] casos
[134] catalunya
[98] més
[86] aturar
[81] 19
[80] increment
[79] covid

Top Words in Tweet in G8:
[332] coronavirus
[329] recomendaciones
[329] población
[329] acerca
[329] 2019
[329] ncov
[329] organización
[329] mundial
[329] salud
[307] somos_ejercito

Top Words in Tweet in G9:
[180] cdc
[179] recommendations
[178] drbiden
[12] cloth
[12] face
[12] masks
[9] veteranshealth
[6] worn
[6] over
[6] nose

Top Words in Tweet in G10:
[37] cdc
[35] realdonaldtrump
[18] people
[18] covid
[14] more
[14] 2019
[12] ncov
[9] virus
[7] 19
[7] deaths

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[772] covid,19
[767] 2019,ncov
[388] coronavirus,2019
[377] wash,hands
[334] 会食における集団感染リスクについて,各地でクラスター調査をしている国立感染症研究所fetpからの報告が公開されました
[334] 各地でクラスター調査をしている国立感染症研究所fetpからの報告が公開されました,集団で飲酒を伴う会食
[334] 集団で飲酒を伴う会食,については改めて別途まとめられる予定とのことです
[332] imamura_kansen,会食における集団感染リスクについて
[332] については改めて別途まとめられる予定とのことです,一般的な会食における集団感染事例につ
[329] recomendaciones,población

Top Word Pairs in Tweet in G1:
[298] wash,hands
[191] stay,feet
[190] feet,apart
[188] healthy,habits
[187] habits,#wearamask
[187] #wearamask,stay
[187] apart,others
[187] others,live
[186] live,household
[186] household,wash

Top Word Pairs in Tweet in G2:
[198] lávate,manos
[164] utiliza,mascarilla
[163] metros,distancia
[162] claves,protegerse
[162] protegerse,#covid19
[162] #covid19,utiliza
[161] mascarilla,mantén
[161] mantén,metros
[161] distancia,prioriza
[155] llegar,casa

Top Word Pairs in Tweet in G3:
[142] covid,19
[46] 2019,ncov
[16] virus,isolates
[16] isolates,2019
[15] quantified,virus
[15] currently,available
[14] learn,more
[14] slow,spread
[14] ncov,currently
[13] wash,hands

Top Word Pairs in Tweet in G4:
[178] slow,spread
[153] help,slow
[134] fear,#anxiety
[134] #anxiety,#covid19
[134] #covid19,overwhelming
[134] overwhelming,take
[134] take,care
[132] unplugging,occasionally
[131] care,mental
[131] mental,wellness

Top Word Pairs in Tweet in G5:
[333] 会食における集団感染リスクについて,各地でクラスター調査をしている国立感染症研究所fetpからの報告が公開されました
[333] 各地でクラスター調査をしている国立感染症研究所fetpからの報告が公開されました,集団で飲酒を伴う会食
[333] 集団で飲酒を伴う会食,については改めて別途まとめられる予定とのことです
[331] imamura_kansen,会食における集団感染リスクについて
[331] については改めて別途まとめられる予定とのことです,一般的な会食における集団感染事例につ
[88] 元ツイートのリンクより以下のアドレスの方が直接アクセスできるのでおすすめです,別途リンク先を変更したツイートを公開したので
[88] 別途リンク先を変更したツイートを公開したので,リツイート等はそちらをご利用ください
[87] imamura_kansen,元ツイートのリンクより以下のアドレスの方が直接アクセスできるのでおすすめです
[55] 一般的な会食における新型コロナウイルス集団感染事例について,国立感染症研究所
[55] 国立感染症研究所,実地疫学専門家養成コース

Top Word Pairs in Tweet in G6:
[188] spreads,respiratory
[188] respiratory,droplets
[188] droplets,small
[188] small,particles
[188] particles,such
[188] such,those
[188] those,aerosols
[168] updated,oct
[168] oct,cdc
[168] cdc,faq

Top Word Pairs in Tweet in G7:
[144] noves,mesures
[82] mesures,aturar
[80] increment,casos
[79] covid,19
[78] aturar,increment
[78] més,info
[78] casos,covid
[78] 19,catalunya
[76] catalunya,més
[74] canal,salut

Top Word Pairs in Tweet in G8:
[329] recomendaciones,población
[329] población,acerca
[329] acerca,coronavirus
[329] coronavirus,2019
[329] 2019,ncov
[329] ncov,organización
[329] organización,mundial
[329] mundial,salud
[307] somos_ejercito,recomendaciones
[11] #ejércitobolivarianobicentenario,#fanb

Top Word Pairs in Tweet in G9:
[179] cdc,recommendations
[178] drbiden,cdc
[12] cloth,face
[12] face,masks
[6] masks,worn
[6] worn,over
[6] over,nose
[6] nose,mouth
[6] mouth,cloth
[6] masks,especially

Top Word Pairs in Tweet in G10:
[12] 2019,ncov
[6] covid,19
[5] cdc,quantified
[5] quantified,virus
[5] virus,isolates
[5] isolates,2019
[5] ncov,currently
[5] currently,available
[5] whole,idea
[5] immunity,21st

Top Replied-To
Top Replied-To in Entire Graph:
@cdcgov
@realdonaldtrump
@greta
@wholeswell
@z_mutoh
@chris_f_carson
@meetthepress
@roccogalatilaw
@covid19crusher
@drtomfrieden

Top Replied-To in G1:
@cdcgov
@seymour_from_gp
@deathsguineapig
@mitoocents
@steve_irvin
@mmfill
@stormphoenix2
@mkber5
@mikemcdermott76
@gbhnews

Top Replied-To in G2:
@el_pais
@nursepizco
@philipp08767899

Top Replied-To in G4:
@cynthiaakacj
@hhsregion3
@sethabramson

Top Replied-To in G6:
@kprather88

Top Replied-To in G7:
@comsempreno
@gemagoldie

Top Replied-To in G10:
@realdonaldtrump
@summers_llm
@ofatigue
@taitai78787
@suzette4tom
@foxblues2
@donisdesperate
@atthestorygiver
@reuters
@17spaceforce17

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@sanidadgob
@imamura_kansen
@saludpublicaes
@somos_ejercito
@hhsgov
@drbiden
@linseymarr
@salutcat
@ministeriosalud

Top Mentioned in G1:
@cdcgov
@cdcdirector
@alec_zeck
@normsworld
@w7voa
@naehomelessness
@dare2bwell
@alamedacounty
@repbradwenstrup
@ochealth

Top Mentioned in G2:
@sanidadgob
@saludpublicaes
@deplaymobil
@dgobiernocv
@mossos
@lematelot49
@maferba6
@el_pais
@manuelreyp
@appradarcovid

Top Mentioned in G3:
@psuitenetwork
@mcfrspio
@borgheseamira
@n8j8dji8yfhjjvo
@yaleeip
@teyllan
@himicom1356
@veritas_karl

Top Mentioned in G4:
@hhsgov
@cdcgov
@cdcemergency
@surgeon_general
@cdcespanol
@readygov
@cdc
@hhs_ash
@redcross
@shelbytnhealth

Top Mentioned in G5:
@imamura_kansen
@earl_med_tw
@carpe_diem0820
@blanc0981
@uchida_kawasaki
@takaakifuruya
@erimutchi
@mutevox
@tadashipt
@uemurakazuhiko

Top Mentioned in G6:
@linseymarr
@kprather88
@takaakifuruya
@yurihiranuma
@cdcgov
@vaccinatein
@dgbassani
@don_milton
@jljcolorado
@joncoopertweets

Top Mentioned in G7:
@salutcat
@gencat
@icscat
@hospitalclinic
@aferssocialscat
@adrianadelgadoh
@hospitaldelmar
@elmasnou_cat
@acragentgran
@ajuntamentsvh

Top Mentioned in G8:
@somos_ejercito
@_sealejb

Top Mentioned in G9:
@drbiden
@veteranshealth
@cdcgov

Top Mentioned in G10:
@realdonaldtrump
@joebiden
@kirstiealley
@cnnbrk
@thelancet
@maddow
@abc
@tedcruz
@glhealy1
@reuters

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@hjlv2378
@dichristine
@jurylady5
@marcodacostafx
@federicoalves
@robre62
@tinamarie_80s
@lopezgovlaw
@littlebytesnews

Top Tweeters in G1:
@chuddles11
@foggybottomgal
@mapocoloco
@rt_himachal
@russmove
@mary_swilling
@dudeneyn
@kimpy123
@herbsistah
@embeesweb

Top Tweeters in G2:
@marcodacostafx
@el_pais
@ibmlahamad
@mariaperezpere
@noe_urdangaray
@antoniobb1953
@meme_montero
@marisaparrilla
@stewbieschanel
@lilloteresa

Top Tweeters in G3:
@toicitiesnews
@rokumai
@didaclopez
@lomejordemadrid
@aureliobelandom
@crwriter1
@jp_kenchan_dayo
@haolethai
@hypervocal
@teyllan

Top Tweeters in G4:
@littlebytesnews
@britonanddane
@hijcp
@cblazblaz
@loyalfan1
@sandi_childs
@wadakashiho
@jayoung1892
@homefronthugs
@viralvideovlogs

Top Tweeters in G5:
@sakumariko
@tamatama2
@otakutokkai
@kirikami
@uchida_kawasaki
@machsunday
@ckca29
@avalon1982
@mare_0303
@nanana396

Top Tweeters in G6:
@sosorasora3
@cao58020
@lizditz
@cwharlow
@cnbsnana
@bluedillygal
@paulpaul49
@iruka3
@ippatsu_sendai
@lindyloo515

Top Tweeters in G7:
@emocionycambio
@smujal
@pili_stage
@nil_cat1
@riderman24h
@esquerra_erc
@jamonzon
@neus533
@gueromex100
@paudaferga62

Top Tweeters in G8:
@sanchezbrujito
@mire_vie
@miguel_soublett
@zoraida13622322
@cirmilapure
@lerion_vzla
@rafael130302
@ciro92948874
@rafaelhernan34
@tuiteraelida

Top Tweeters in G9:
@jurylady5
@solutioneer72
@inspiteoftrump
@leehillerlondon
@only4rm
@tyberzannxxxx
@maryalicebisho2
@gwydion620
@winterthur
@daretothink53

Top Tweeters in G10:
@reuters
@outnow45
@abc
@9newssyd
@angie_rejoineu
@djtmentionsbot
@foxbusiness
@digiphile
@sheeple101
@thevaluesvoter


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