NCoV, Twitter, 10/28/2020 5:46:57 PM, 238995


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NCoV_2020-10-28_01-37-01.xlsx
NCoV_2020-10-28_01-37-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 28, 2020
Short Description:
NCoV via NodeXL https://bit.ly/31T7BqO
@cdcgov
@nextstrain
@microbesinfo
@airbornekanki
@kerorrin
@derive_ip
@saludpublicaes
@sanidadgob
@biobiobiobior
@salutcat

Top hashtags:
#covid19
#halloween
#slowthespread
#socialdistancing
#coronavirus
#新型コロナウイルス
#covid_19

Description:
Description
The graph represents a network of 7,858 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 Wednesday, 28 October 2020 at 08:49 UTC.

The requested start date was Wednesday, 28 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 2-day, 10-hour, 52-minute period from Sunday, 25 October 2020 at 13:08 UTC to Wednesday, 28 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 : 7858
Unique Edges : 3201
Edges With Duplicates : 11772
Total Edges : 14973
Number of Edge Types : 5
Replies to : 787
Mentions : 1562
Tweet : 1388
Retweet : 5308
MentionsInRetweet : 5928
Self-Loops : 1428
Reciprocated Vertex Pair Ratio : 0.00257104194857916
Reciprocated Edge Ratio : 0.00512889728708328
Connected Components : 1233
Single-Vertex Connected Components : 526
Maximum Vertices in a Connected Component : 3632
Maximum Edges in a Connected Component : 8616
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.666253
Graph Density : 0.0001200026446257
Modularity : 0.5068
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,858 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 Wednesday, 28 October 2020 at 08:49 UTC.

The requested start date was Wednesday, 28 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 2-day, 10-hour, 52-minute period from Sunday, 25 October 2020 at 13:08 UTC to Wednesday, 28 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:
[175] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[166] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[159] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[141] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_235_COVID-19.pdf
[121] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[115] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[97] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[73] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[58] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[58] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_236_COVID-19.pdf

Top URLs in Tweet in G1:
[45] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[29] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[19] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/quarantine.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/going-out/voting-tips.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/community/election-polling-locations.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G2:
[39] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/faq.html
[7] http://wwwnc.cdc.gov/eid/article/26/9/20-2272_article.htm
[6] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e506b3e5e2058724d20307d77503059&location_id=4693287327074115682&signature=c7b200f56fa5c3fec706cbe4cc4898fff1c81ab97bdf1956fb0431748aee28b9
[5] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[5] http://niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[4] https://apps.who.int/iris/handle/10665/332073
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9910-covid19-25.html
[2] https://apps.who.int/iris/bitstream/handle/10665/332073/WHO-2019-nCoV-Adjusting_PH_measures-Criteria-2020.1-eng.pdf
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9878-487d03.html

Top URLs in Tweet in G3:
[56] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[50] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[25] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[14] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[11] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[11] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/9930-488d01.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[10] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://science.sciencemag.org/content/sci/early/2020/02/19/science.abb2507.full.pdf

Top URLs in Tweet in G4:
[106] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[13] 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=facebook&utm_medium=social&utm_campaign=&utm_source=facebook&utm_medium=social&utm_campaign=#bloc1
[3] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[3] 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/ciutadania/salut-escola/informacio-per-a-families/
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/deteccio-de-casos-i-seguiment-de-contactes/contactes-estrets/?utm_source=twitter&utm_medium=social&utm_campaign=
[1] https://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/infografia-riscometre-covid.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/appendix.html
[1] https://twitter.com/salutcat/status/1321030246343258112
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/

Top URLs in Tweet in G5:
[70] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[36] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_236_COVID-19.pdf
[31] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_237_COVID-19.pdf
[5] https://gobiernoabierto.navarra.es/es/coronavirus/impacto-situacion
[5] http://www.navarra.es/home_es/Gobierno+de+Navarra/Organigrama/Los+departamentos/Salud/Organigrama/Estructura+Organica/Instituto+Navarro+de+Salud+Publica/Publicaciones/Publicaciones+profesionales/Epidemiologia/InformesVigilanciaEpidemiologia2020.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/20200325_Decalogo_como_actuar_COVID19.pdf
[4] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Listado_virucidas.pdf

Top URLs in Tweet in G6:
[7] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://www.lci.fr/population/covid-19-ncov-pandemie-par-age-avec-ecoles-ouvertes-local-ou-juste-le-week-end-quelles-variantes-au-confinement-generalise-2168307.html
[1] https://apps.who.int/iris/bitstream/handle/10665/332448/WHO-2019-nCov-IPC_Masks-2020.4-fre.pdf?sequence=1&isAllowed=y
[1] https://apps.who.int/iris/bitstream/handle/10665/330987/WHO-nCov-IPC_Masks-2020.1-eng.pdf

Top URLs in Tweet in G7:
[41] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[3] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/election-polling-locations.html
[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=100001589791852&utm_campaign=Real+Time&linkId=100000017878760
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001591173462&utm_campaign=Short+to+Mid-Term&linkId=100000017940948#halloween
[1] 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
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001582440820&utm_campaign=Real+Time&linkId=100000017641362
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html

Top URLs in Tweet in G8:
[21] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/06052020/covid-like-illness.html
[3] https://time.com/5896734/10-percent-world-infected-covid-19-who/
[2] https://www.cdc.gov/flu/about/burden/2019-2020.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top URLs in Tweet in G9:
[114] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_235_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actuaciones_respuesta_COVID_22.10.2020.pdf
[1] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_236_COVID-19.pdf
[1] https://twitter.com/escuelasdecalor/status/1320447737222045701

Top URLs in Tweet in G10:
[80] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/quarantine.html
[1] https://www.sciencemag.org/news/2020/10/it-s-been-so-so-surreal-critics-sweden-s-lax-pandemic-policies-face-fierce-backlash

Top Domains
Top Domains in Tweet in Entire Graph:
[1522] cdc.gov
[418] gob.es
[206] gencat.cat
[178] europa.eu
[128] recombinomics.co
[120] go.jp
[92] lci.fr
[64] twitter.com
[59] nextstrain.org
[58] who.int

Top Domains in Tweet in G1:
[259] cdc.gov
[6] twitter.com
[2] bit.ly
[1] nih.gov
[1] sandiegocounty.gov
[1] youtube.com
[1] radian6.com
[1] nvsos.gov
[1] clarkcountynv.gov
[1] neurorxpharma.com

Top Domains in Tweet in G2:
[48] go.jp
[42] cdc.gov
[7] ne.jp
[6] who.int
[1] dxy.cn
[1] or.jp
[1] go.kr
[1] twitter.com

Top Domains in Tweet in G3:
[354] cdc.gov
[128] recombinomics.co
[26] gob.es
[24] europa.eu
[17] twitter.com
[17] go.jp
[15] gencat.cat
[12] lg.jp
[12] scholarsportal.info
[10] ibaraki.jp

Top Domains in Tweet in G4:
[144] gencat.cat
[2] cdc.gov
[1] twitter.com
[1] contactecovid.cat

Top Domains in Tweet in G5:
[165] gob.es
[10] navarra.es
[5] cdc.gov
[4] gencat.cat
[2] bit.ly

Top Domains in Tweet in G6:
[9] cdc.gov
[2] who.int
[1] lci.fr

Top Domains in Tweet in G7:
[72] cdc.gov
[2] twitter.com
[1] shelby.community
[1] tn.gov

Top Domains in Tweet in G8:
[64] cdc.gov
[3] twitter.com
[3] time.com
[2] europa.eu
[1] nytimes.com
[1] arcgis.com
[1] nextstrain.org
[1] who.int
[1] ourworldindata.org

Top Domains in Tweet in G9:
[116] gob.es
[1] twitter.com

Top Domains in Tweet in G10:
[80] europa.eu
[4] cdc.gov
[1] sciencemag.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2199] covid19
[401] halloween
[297] slowthespread
[295] socialdistancing
[182] coronavirus
[149] 新型コロナウイルス
[129] covid_19
[118] wearamask
[73] covidview
[60] macron



Top Hashtags in Tweet in G1:
[1096] covid19
[274] socialdistancing
[274] slowthespread
[256] halloween
[96] wearamask
[66] covidview
[33] díadelosmuertos
[27] vote
[20] halloween2020
[13] flu

Top Hashtags in Tweet in G2:
[5] japanmodel
[1] 新型コロナ
[1] 世界標準
[1] 東京コロナ

Top Hashtags in Tweet in G3:
[99] covid19
[37] coronavirus
[27] halloween
[19] outbreak
[12] cdc
[12] covid
[11] sarscov2
[8] ncov
[7] wearamask
[6] staysafe

Top Hashtags in Tweet in G4:
[33] covid19
[8] canalsalut
[4] coronavirus
[2] hvcinta
[2] 7_novetats_en_els_procediments_covid
[2] olot
[1] cdc
[1] contacttracing
[1] lamevasalut
[1] distanciamansmascareta

Top Hashtags in Tweet in G5:
[250] covid19
[55] mascarilla
[12] nolotiresporlaborda
[12] coronavirus
[11] covidー19
[5] distancia
[4] estonoesunjuego
[4] coronavirusnavarra
[4] navarra
[3] koronabirusanafarroa

Top Hashtags in Tweet in G6:
[25] rudylepermets
[25] cdc
[4] coronavirus
[3] covidー19
[1] covid19
[1] covid_19
[1] coronavirusfrance
[1] covidfrance
[1] wuhan
[1] complotistes

Top Hashtags in Tweet in G7:
[160] covid19
[63] halloween
[35] trickortreating
[10] socialdistancing
[10] slowthespread
[7] voteearly
[5] covidview
[5] maskupmemphis
[4] mask
[4] maskupshelbycounty

Top Hashtags in Tweet in G8:
[1] er
[1] trumpvirus
[1] dumptrump2020
[1] maga2020

Top Hashtags in Tweet in G9:
[112] covid19
[6] shareverified
[6] yomeinformo
[1] covidー19

Top Words
Top Words in Tweet in Entire Graph:
[2199] #covid19
[1443] 19
[1258] covid
[1156] cdcgov
[961] cdc
[826] help
[650] ncov
[544] 3月26日の航空機内で発生した集団感染の事例です
[544] どうして今頃このような重要な事例報告がされるのだろうか
[544] 尾身茂の

Top Words in Tweet in G1:
[1096] #covid19
[1067] cdcgov
[607] help
[320] avoid
[293] keep
[291] exposed
[281] one
[277] best
[276] being
[275] slow

Top Words in Tweet in G2:
[542] 3月26日の航空機内で発生した集団感染の事例です
[542] どうして今頃このような重要な事例報告がされるのだろうか
[542] 尾身茂の
[542] 旅行自体が感染を起こすことはない
[542] 発言は7月だったわけですが
[541] derive_ip
[541] 3月の時点ですでにこのような重要な事例が国内でも発生していたということ
[100] 2020
[96] 10
[93] 23

Top Words in Tweet in G3:
[347] covid
[227] 19
[224] ncov
[199] 2019
[166] cases
[164] deaths
[138] increase
[136] cdc
[130] halloween
[128] recombinomics

Top Words in Tweet in G4:
[280] salutcat
[235] els
[235] 22
[137] amb
[129] covid
[129] 19
[127] confinament
[127] nocturn
[120] vigor
[116] contenir

Top Words in Tweet in G5:
[250] #covid19
[174] saludpublicaes
[153] sanidadgob
[128] recomendaciones
[113] datos
[106] caso
[84] sigue
[84] frecuente
[77] sanitarias
[75] síntomas

Top Words in Tweet in G6:
[198] cdc
[161] faire
[161] tests
[160] voici
[160] information
[160] américain
[160] mal
[160] résumé
[160] doivent
[160] être

Top Words in Tweet in G7:
[160] #covid19
[99] hhsgov
[92] help
[83] safe
[73] ways
[67] mask
[67] best
[66] one
[65] protect
[65] yourself

Top Words in Tweet in G8:
[33] years
[31] realdonaldtrump
[29] cdc
[25] covid
[22] rates
[22] updated
[19] 19
[16] 99
[15] 50
[14] 20

Top Words in Tweet in G9:
[113] co
[112] ftsaez
[112] leo
[112] datos
[112] oficiales
[112] ministerio
[112] sanidad
[112] #covid19
[112] jiuxgk12h1
[112] busco

Top Words in Tweet in G10:
[81] 14
[80] germany
[80] holding
[80] tough
[80] line
[80] day
[80] rate
[80] map
[80] nordic
[80] countries

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[967] covid,19
[544] 3月26日の航空機内で発生した集団感染の事例です,どうして今頃このような重要な事例報告がされるのだろうか
[544] どうして今頃このような重要な事例報告がされるのだろうか,尾身茂の
[544] 尾身茂の,旅行自体が感染を起こすことはない
[544] 旅行自体が感染を起こすことはない,発言は7月だったわけですが
[543] derive_ip,3月26日の航空機内で発生した集団感染の事例です
[543] 発言は7月だったわけですが,3月の時点ですでにこのような重要な事例が国内でも発生していたということ
[442] 2019,ncov
[349] one,best
[302] exposed,#covid19

Top Word Pairs in Tweet in G1:
[281] exposed,#covid19
[275] avoid,being
[275] being,exposed
[273] one,best
[272] #covid19,keep
[271] #covid19,help
[271] help,#slowthespread
[271] #slowthespread,#covid19
[271] keep,key
[270] #socialdistancing,one

Top Word Pairs in Tweet in G2:
[542] 3月26日の航空機内で発生した集団感染の事例です,どうして今頃このような重要な事例報告がされるのだろうか
[542] どうして今頃このような重要な事例報告がされるのだろうか,尾身茂の
[542] 尾身茂の,旅行自体が感染を起こすことはない
[542] 旅行自体が感染を起こすことはない,発言は7月だったわけですが
[541] derive_ip,3月26日の航空機内で発生した集団感染の事例です
[541] 発言は7月だったわけですが,3月の時点ですでにこのような重要な事例が国内でも発生していたということ
[94] 2020,10
[93] 10,23
[93] 23,国立感染症研究所
[93] 国立感染症研究所,航空機内感染が疑われたcovid

Top Word Pairs in Tweet in G3:
[201] covid,19
[186] 2019,ncov
[129] covid,cases
[128] cases,increase
[128] ncov,recombinomics
[128] recombinomics,inc
[30] learn,more
[29] trick,treating
[27] 2020,10
[24] halloween,activities

Top Word Pairs in Tweet in G4:
[129] covid,19
[127] confinament,nocturn
[117] vigor,confinament
[114] nocturn,contenir
[114] 22,pot
[113] entra,vigor
[111] contenir,els
[109] avui,22
[109] 22,entra
[109] els,brots

Top Word Pairs in Tweet in G5:
[110] datos,#covid19
[77] sigue,recomendaciones
[77] recomendaciones,sanitarias
[62] actualización,datos
[62] información,coronavirus
[60] sanidadgob,actualización
[60] coronavirus,ht
[58] caso,tener
[58] síntomas,leves
[58] leves,#covid19

Top Word Pairs in Tweet in G6:
[160] voici,information
[160] information,cdc
[160] cdc,américain
[160] américain,faire
[160] faire,mal
[160] mal,résumé
[160] résumé,tests
[160] tests,doivent
[160] doivent,être
[160] être,centre

Top Word Pairs in Tweet in G7:
[69] ways,help
[66] one,best
[64] help,protect
[64] protect,yourself
[58] #covid19,make
[58] make,sure
[57] yourself,others
[56] mask,one
[56] best,ways
[56] others,getting

Top Word Pairs in Tweet in G8:
[14] 20,49
[14] 50,69
[12] infection,fatality
[11] survival,rates
[10] updated,survival
[9] cdc,recently
[9] recently,updated
[9] updated,estimated
[9] estimated,infection
[9] fatality,rates

Top Word Pairs in Tweet in G9:
[112] leo,datos
[112] datos,oficiales
[112] oficiales,ministerio
[112] ministerio,sanidad
[112] sanidad,#covid19
[112] #covid19,co
[112] co,jiuxgk12h1
[112] jiuxgk12h1,busco
[112] busco,disipar
[112] disipar,dudas

Top Word Pairs in Tweet in G10:
[80] germany,holding
[80] holding,tough
[80] tough,line
[80] line,14
[80] 14,day
[80] day,rate
[80] rate,map
[80] map,nordic
[80] nordic,countries
[79] mackayim,germany

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@gisaid
@salud_na
@kaitlancollins
@randpaul
@cdcgov
@cdcemergency
@digiom
@christjordan18
@tafkag

Top Replied-To in G1:
@cdcgov
@cdcemergency
@rbreich
@fantine21

Top Replied-To in G2:
@koichi_kawakami
@you3_jp
@takavet1
@sarkov28
@knjshiraishi
@nhk_news

Top Replied-To in G3:
@bartsnhslibrary

Top Replied-To in G4:
@salutcat
@pauvilagarcia
@_alexarenas
@oriolmitja

Top Replied-To in G5:
@salud_na
@coralmera
@cadquitina

Top Replied-To in G6:
@lbeyssac
@gianvanno
@islovan
@lehmanndrc

Top Replied-To in G7:
@christjordan18
@nytimes

Top Replied-To in G8:
@realdonaldtrump
@therightmelissa
@pdubdev
@swatlashoover
@marc_montana
@bernielomax
@joebiden
@r_craig2214
@nicolerue2
@conseravtive

Top Replied-To in G9:
@escuelasdecalor
@ignasicorral

Top Replied-To in G10:
@celinegounder

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@derive_ip
@salutcat
@saludpublicaes
@silvano_trotta
@sanidadgob
@ibaraki_kouhou
@cdcdirector
@ftsaez
@hhsgov

Top Mentioned in G1:
@cdcgov
@cdcdirector
@cdcemergency
@badfoxgraphics
@scdhec
@cityofphoenixaz
@hhsgov
@statehealthin
@aucdnews
@astho

Top Mentioned in G2:
@derive_ip
@airbornekanki
@sunasaji
@takavet1
@twremcat
@fusu3
@cyclosa_sp
@hichachu
@fujikurok
@biac_ac

Top Mentioned in G3:
@alisonblunt
@lowhendrix
@julikabrand
@dnartests
@donajioliverar
@azulbandit
@kannadaprabha
@omglolu

Top Mentioned in G4:
@salutcat
@vallhebron
@icsebre
@jorfabrega
@govern
@fcollserola
@mutua_terrassa
@icscat
@appradarcovid
@aprimariavsg

Top Mentioned in G5:
@saludpublicaes
@sanidadgob
@mitmagob
@salutcat
@gadph
@idhw
@ucam
@tndeptofhealth
@cdcgov
@noticiasgob_na

Top Mentioned in G6:
@silvano_trotta
@biobiobiobior
@corinnereverbel
@moon_bio
@smackenziekerr
@cdcgov
@lehmanndrc
@capis_10_papel
@caissesdegreve
@silkysilkk

Top Mentioned in G7:
@hhsgov
@cdcgov
@redcross
@cdc
@veteranshealth
@shelbytnhealth
@keckmedusc
@oneforallmo
@abmscert
@cdcdirector

Top Mentioned in G8:
@realdonaldtrump
@joebiden
@govrondesantis
@hkrassenstein
@swatlashoover
@msnbc
@conceptualjames
@kurtschlichter
@johnrobertsfox
@kylenaylork

Top Mentioned in G9:
@ftsaez
@la_resistensia_
@onumx
@mitmagob
@tonisolano
@yoepublica
@envozalta_libro

Top Mentioned in G10:
@mackayim
@alinouriphd
@celinegounder

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@marcodacostafx
@robre62
@loupo85
@tinamarie_80s
@lopezgovlaw
@languillem
@delta
@algonfdez
@independent

Top Tweeters in G1:
@k1a1zzz
@padakitty
@britonanddane
@loulachat
@wadakashiho
@utzaake
@pamcurtis4210
@c_coolidge
@russmove
@aclaysuper

Top Tweeters in G2:
@citrus_kyoto
@hiruandon89
@baphomet_2525
@mizuki_tbss
@vostokintheair
@souun_udoku
@seki_yo
@chiemma44
@bb45_colorado
@yuki22luna

Top Tweeters in G3:
@himagine_no9
@actusnonstop
@didaclopez
@aureliobelandom
@crwriter1
@deidreeversull
@haolethai
@baixsegura_es
@kokikokiya
@tampaefl

Top Tweeters in G4:
@isaac__am
@miquel303marti
@guasch22
@nil_cat1
@miki_gtr
@meteosantfost
@missblackxs
@riderman24h
@esquerra_erc
@jorditr1

Top Tweeters in G5:
@marcodacostafx
@algonfdez
@antoniobb1953
@lomejordemadrid
@stewbieschanel
@937908mcm
@474ntx4
@kiliancd
@michael_kunz
@anap1958

Top Tweeters in G6:
@languillem
@votezpoisson
@mariabadin18
@madrynha2012
@lagrosta
@barberis888
@rosesouslapluie
@jairaison
@eliot_meredith
@npommeret

Top Tweeters in G7:
@teshawnedmonds
@loyalfan1
@nytimes
@pink1963dsw
@omi_082
@fleejack
@gottobe2
@alexisy95
@supplychainsn
@lamb83

Top Tweeters in G8:
@kurtschlichter
@amaditalks
@awiselatina
@kdc
@msnbc
@tony__heller
@greta
@kslcom
@politicussarah
@wendy_soxy1girl

Top Tweeters in G9:
@pallaron12
@sylvilg
@mstccrns
@ignasicorral
@mimukas
@fali_mz
@1000boj
@gprieto2
@bojetiny
@nefer_neferu

Top Tweeters in G10:
@ungubunugu1274
@tighnacoille
@samhainnight
@markplackett1
@redboybroken
@paulsorrentino3
@mtnbvan
@bellzwebster
@sharon_lynch
@burritojustice