NCoV, Twitter, 4/7/2020 2:45:15 PM, 224555


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NCoV_2020-04-07_01-11-05.xlsx
NCoV_2020-04-07_01-11-05.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
April 07, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2xYbn66
@cdcgov
@sanidadgob
@raulcalvorico
@drericding
@who
@nextstrain
@nyulangone
@guardiacivil
@realdonaldtrump
@meridajosep

Top hashtags:
#covid19
#dyk
#coronavirus
#estevirusloparamosunidos
#stopbulos
#新型コロナウイルス
#sarscov2
#covid_19

Description:
Description
The graph represents a network of 5,729 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 Tuesday, 07 April 2020 at 08:13 UTC.

The requested start date was Tuesday, 07 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 3-hour, 52-minute period from Sunday, 05 April 2020 at 06:33 UTC to Monday, 06 April 2020 at 10:26 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 : 5729
Unique Edges : 6291
Edges With Duplicates : 763
Total Edges : 7054
Number of Edge Types : 4
Tweet : 1147
MentionsInRetweet : 4689
Replies to : 467
Mentions : 751
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.0064343163538874
Reciprocated Edge Ratio : 0.0127863612147043
Connected Components : 1251
Single-Vertex Connected Components : 574
Maximum Vertices in a Connected Component : 2260
Maximum Edges in a Connected Component : 3353
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.047781
Graph Density : 0.000171594631254687
Modularity : 0.796558
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,729 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 Tuesday, 07 April 2020 at 08:13 UTC.

The requested start date was Tuesday, 07 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 1-day, 3-hour, 52-minute period from Sunday, 05 April 2020 at 06:33 UTC to Monday, 06 April 2020 at 10:26 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:
[519] https://covid19.isciii.es:443/
[172] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[117] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[55] https://nextstrain.org/ncov
[48] https://coronavirus.gov/
[46] https://nextstrain.org/ncov?p=grid
[41] https://www.city.edogawa.tokyo.jp/e054/kenko/iryo/kansen/coronavirus/ncov-sippei/20200406.html
[31] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[27] https://www.pref.ibaraki.jp/1saigai/2019-ncov/message.html
[27] https://www.newtral.es/la-gripe-mas-letal-que-el-coronavirus-ncov-hasta-la-fecha/20200201/

Top URLs in Tweet in G1:
[39] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Finfection-control%2Fcontrol-recommendations.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[4] https://coronavirus.gov/
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/guidance-business-response.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://bit.ly/2X9KpDc
[2] http://www.changingwomaninitiative.com/

Top URLs in Tweet in G2:
[32] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[16] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover.html
[10] https://nextstrain.org/ncov
[8] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[5] https://www.city.machida.tokyo.jp/iryo/hokenjo/news/about-2019-ncov/number_of_infected.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_66_COVID-19.pdf
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_67_COVID-19.pdf
[4] https://soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov?utm_source=soundcloud&utm_campaign=wtshare&utm_medium=Twitter&utm_content=https%3A//soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

Top URLs in Tweet in G3:
[509] https://covid19.isciii.es:443/
[10] https://covid19.isciii.es/
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/home.htm
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[2] https://www.mscbs.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/20200404_ITCoronavirus.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/AspectosEticos_en_situaciones_de_pandemia.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[1] https://t.me/sanidadgob
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_66_COVID-19.pdf
[1] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm

Top URLs in Tweet in G4:
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top URLs in Tweet in G5:
[5] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[4] http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov-technical-guidance/stay-physically-active-during-self-quarantine
[2] https://www.who.int/publications-detail/home-care-for-patients-with-suspected-novel-coronavirus-(ncov)-infection-presenting-with-mild-symptoms-and-management-of-contacts
[2] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf
[2] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/noticies/nota-premsa/?id=384088
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/therapeutic-options.html
[1] http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov-technical-guidance/stay-physically-active-during-self-quarantine/_recache?fbclid=IwAR35UEweBOLX1dhgc36lXwK84_WGhO1dZz49Y-VO5gCRjeAOqtY5rQZpnls
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200203-sitrep-14-ncov.pdf?sfvrsn=f7347413_4
[1] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/testing.html
[1] https://www.who.int/publications-detail/disease-commodity-package---novel-coronavirus-(ncov)

Top URLs in Tweet in G6:
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/9520-covid19-16.html

Top URLs in Tweet in G7:
[22] https://nextstrain.org/ncov
[6] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-04-03
[2] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[1] https://nextstrain.org/narratives/ncov/sit-rep/it/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/ar/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-03-27
[1] https://nextstrain.org/narratives/ncov/sit-rep/ko/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/tr/2020-04-03
[1] https://nextstrain.org/narratives/ncov/sit-rep/zh/2020-04-03

Top URLs in Tweet in G8:
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[5] https://ayudaspuntocom.art.blog/2020/03/12/coronavirus-covid-19-a-falta-de-vacuna-pildora-formativa/
[3] https://covid19.isciii.es:443/
[2] https://www.pscp.tv/SaludPublicaEs/1dRJZQnkZMAGB
[2] https://www.pscp.tv/SaludPublicaEs/1yNGaQqOLMVGj?t=1h21s
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[1] https://covid19.isciii.es/
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_67_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_66_COVID-19.pdf
[1] https://www.pscp.tv/SaludPublicaEs/1rmGPAnbEaMJN?t=17m

Top URLs in Tweet in G9:
[20] https://coronavirus.gov/
[1] https://twitter.com/deptofdefense/status/1246105177201008641
[1] https://www.coronavirus.gov/
[1] https://bit.ly/2Q3IpIg
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/therapeutic-options.html

Top URLs in Tweet in G10:
[46] https://nextstrain.org/ncov?p=grid
[4] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html

Top Domains
Top Domains in Tweet in Entire Graph:
[530] isciii.es
[525] cdc.gov
[149] nextstrain.org
[118] twitter.com
[110] gob.es
[94] who.int
[90] lci.fr
[71] tokyo.jp
[61] gov.au
[50] ibaraki.jp

Top Domains in Tweet in G1:
[117] cdc.gov
[10] bit.ly
[4] coronavirus.gov
[2] changingwomaninitiative.com
[2] twitter.com
[2] go.jp
[2] bddy.me
[1] usa.gov
[1] shorturl.at
[1] github.com

Top Domains in Tweet in G2:
[108] cdc.gov
[42] twitter.com
[26] gob.es
[23] nextstrain.org
[12] who.int
[12] lci.fr
[11] tokyo.jp
[11] gov.au
[9] soundcloud.com
[8] instagram.com

Top Domains in Tweet in G3:
[519] isciii.es
[15] gob.es
[1] t.me
[1] cdc.gov
[1] astursalud.es
[1] codepa.es

Top Domains in Tweet in G4:
[2] cdc.gov

Top Domains in Tweet in G5:
[22] who.int
[3] cdc.gov
[2] gencat.cat
[1] twitter.com
[1] openwho.org

Top Domains in Tweet in G6:
[1] go.jp

Top Domains in Tweet in G7:
[37] nextstrain.org
[2] who.int

Top Domains in Tweet in G8:
[9] gob.es
[5] art.blog
[5] pscp.tv
[4] isciii.es
[2] bit.ly

Top Domains in Tweet in G9:
[21] coronavirus.gov
[1] twitter.com
[1] bit.ly
[1] cdc.gov

Top Domains in Tweet in G10:
[46] nextstrain.org
[4] lg.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1513] covid19
[379] dyk
[314] coronavirus
[91] estevirusloparamosunidos
[83] stopbulos
[69] 新型コロナウイルス
[64] sarscov2
[46] covid_19
[43] 江戸川区
[31] ncov



Top Hashtags in Tweet in G1:
[571] covid19
[369] dyk
[64] coronavirus
[5] covidview
[5] stayathome
[4] masks4all
[3] covid_19
[3] usa
[3] cloth
[2] facemasks

Top Hashtags in Tweet in G2:
[39] covid19
[26] coronavirus
[13] ncov
[11] covid_19
[10] 新型肺炎影響
[10] 百度
[10] 新型冠状病毒
[9] covid
[8] tintuc
[5] 新型コロナウイルス

Top Hashtags in Tweet in G3:
[533] covid19
[14] coronavirus
[7] estevirusloparamosunidos
[1] quédateencasa
[1] mijas
[1] solidarity

Top Hashtags in Tweet in G4:
[1] covid19

Top Hashtags in Tweet in G5:
[32] covid19
[19] coronavirus
[6] r4today
[6] wato
[5] solidarity
[4] indiafightscorona
[3] hcw
[2] covid_19
[2] wuhan
[2] dyk

Top Hashtags in Tweet in G7:
[69] covid19
[59] sarscov2
[16] opendata
[16] 新冠病毒
[13] hcov19
[6] کووید۱۹
[6] سارس‌کو۲
[2] solidaritytrial

Top Hashtags in Tweet in G8:
[81] estevirusloparamosunidos
[81] stopbulos
[9] covid19
[6] coronavirus
[1] quédateencasa

Top Hashtags in Tweet in G9:
[5] covid19
[4] coronavirus
[3] covidー19
[2] hereforyou
[2] event201
[1] crimsoncontagion
[1] covid_19
[1] dyk

Top Words
Top Words in Tweet in Entire Graph:
[1775] Words in Sentiment List#1: Positive
[2045] Words in Sentiment List#2: Negative
[3] Words in Sentiment List#3: Angry/Violent
[99282] Non-categorized Words
[103103] Total Words
[1513] #covid19
[1449] cdc
[1044] cdcgov
[962] ncov
[676] face

Top Words in Tweet in G1:
[987] cdcgov
[680] cdc
[574] face
[571] #covid19
[564] cloth
[505] wearing
[501] covering
[407] protect
[406] recommendation
[396] help

Top Words in Tweet in G2:
[375] ncov
[109] 2019
[94] sa
[82] 19
[71] coronavirus
[69] covid
[64] ko
[53] ng
[39] #covid19
[38] cdc

Top Words in Tweet in G3:
[536] sanidadgob
[533] #covid19
[531] información
[529] datos
[519] actualizados
[519] ccaa
[519] situación
[519] actual
[14] #coronavirus
[13] semana

Top Words in Tweet in G4:
[322] cdc
[163] report
[163] shows
[163] deaths
[163] due
[163] pneumonia
[163] associated
[163] flu
[163] increased
[159] drericding

Top Words in Tweet in G5:
[68] human
[38] transmission
[35] chinese
[35] evidence
[34] preliminary
[34] investigations
[34] conducted
[34] authorities
[34] found
[34] clear

Top Words in Tweet in G6:
[118] 感染研によるイムノクロマト法データを見る限りでは
[118] igm抗体による早期診断は困難でも
[118] igg抗体は
[118] 中和抗体かは
[118] ですが
[118] 疫学調査による職場や地域における感染状況の把握や
[118] 医療従事者などの易感染性の一定の指標にはなりうるのではないかと思います
[117] koike_akira

Top Words in Tweet in G7:
[92] nextstrain
[69] #covid19
[59] #sarscov2
[41] thanks
[40] gisaid
[33] sequences
[28] we've
[28] genomes
[25] fengjun_zhang
[22] added

Top Words in Tweet in G8:
[85] información
[81] #estevirusloparamosunidos
[81] paramos
[81] compartes
[81] falsa
[81] #stopbulos
[81] consulta
[81] fuentes
[81] oficiales
[80] guardiacivil

Top Words in Tweet in G9:
[71] realdonaldtrump
[54] more
[52] president
[52] visit
[50] important
[50] american
[50] follows
[50] guidelines
[49] mike_pence
[20] cdcgov

Top Words in Tweet in G10:
[46] しばらくnextstrain見てなかったら
[46] 凄いことになってた
[46] usが世界最大のクラスターになったことが一目で分かる
[45] tjo_datasci
[30] 詳細な情報については
[30] 千葉県公式ウェブサイトでご確認ください
[28] ichikawa_shi
[27] 新型コロナウイルス感染者情報
[27] 4月5日千葉県発表
[27] 本日新たに1名の感染者が確認されました

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[634] cloth,face
[536] wearing,cloth
[530] situación,actual
[529] datos,actualizados
[529] actualizados,#covid19
[529] #covid19,ccaa
[529] ccaa,situación
[529] actual,información
[523] face,covering
[520] sanidadgob,datos

Top Word Pairs in Tweet in G1:
[556] cloth,face
[502] wearing,cloth
[500] face,covering
[398] cdc,recommendation
[377] help,protect
[370] recommendation,wearing
[370] covering,help
[370] protect,vulnerable
[369] #dyk,cdc
[369] vulnerable,#covid19

Top Word Pairs in Tweet in G2:
[87] 2019,ncov
[62] covid,19
[34] sa,ncov
[18] ng,ncov
[16] cloth,face
[16] coronavirus,2019
[14] ncov,19
[13] face,coverings
[13] novel,coronavirus
[13] sars,cov

Top Word Pairs in Tweet in G3:
[519] datos,actualizados
[519] actualizados,#covid19
[519] #covid19,ccaa
[519] ccaa,situación
[519] situación,actual
[519] actual,información
[515] sanidadgob,datos
[10] información,co
[10] menores,fallecido
[10] fallecido,víctimas

Top Word Pairs in Tweet in G4:
[163] cdc,report
[163] report,shows
[163] deaths,due
[163] due,pneumonia
[163] pneumonia,associated
[163] associated,flu
[163] flu,increased
[159] cdc,admits
[159] admits,problem
[159] problem,cdc

Top Word Pairs in Tweet in G5:
[34] preliminary,investigations
[34] investigations,conducted
[34] conducted,chinese
[34] chinese,authorities
[34] authorities,found
[34] found,clear
[34] clear,evidence
[34] evidence,human
[34] human,human
[34] human,transmission

Top Word Pairs in Tweet in G6:
[118] 感染研によるイムノクロマト法データを見る限りでは,igm抗体による早期診断は困難でも
[118] igm抗体による早期診断は困難でも,igg抗体は
[118] igg抗体は,中和抗体かは
[118] 中和抗体かは,ですが
[118] ですが,疫学調査による職場や地域における感染状況の把握や
[118] 疫学調査による職場や地域における感染状況の把握や,医療従事者などの易感染性の一定の指標にはなりうるのではないかと思います
[117] koike_akira,感染研によるイムノクロマト法データを見る限りでは

Top Word Pairs in Tweet in G7:
[47] #covid19,#sarscov2
[33] nextstrain,thanks
[28] gisaid,we've
[22] we've,added
[22] added,more
[22] more,genomes
[19] thanks,nyulangone
[19] nyulangone,unilj
[19] unilj,gisaid
[19] genomes,york

Top Word Pairs in Tweet in G8:
[81] #estevirusloparamosunidos,paramos
[81] paramos,compartes
[81] compartes,información
[81] información,falsa
[81] falsa,#stopbulos
[81] #stopbulos,consulta
[81] consulta,fuentes
[81] fuentes,oficiales
[80] guardiacivil,#estevirusloparamosunidos
[9] 04,2020

Top Word Pairs in Tweet in G9:
[52] president,realdonaldtrump
[50] more,important
[50] important,american
[50] american,follows
[50] follows,president
[50] realdonaldtrump,guidelines
[50] guidelines,visit
[49] mike_pence,more
[15] thank,deptofdefense
[15] deptofdefense,usacehq

Top Word Pairs in Tweet in G10:
[46] しばらくnextstrain見てなかったら,凄いことになってた
[46] 凄いことになってた,usが世界最大のクラスターになったことが一目で分かる
[45] tjo_datasci,しばらくnextstrain見てなかったら
[30] 詳細な情報については,千葉県公式ウェブサイトでご確認ください
[27] 新型コロナウイルス感染者情報,4月5日千葉県発表
[27] 4月5日千葉県発表,本日新たに1名の感染者が確認されました
[27] 本日新たに1名の感染者が確認されました,市内在住20代女性
[27] 市内在住20代女性,会社員
[27] 会社員,です
[27] です,市内在住者25例目

Top Replied-To
Top Replied-To in Entire Graph:
@10downingstreet
@cdcgov
@dohgovph
@dtal1928
@twittersupport
@sparknottle
@julio_rodr_
@electcdavis
@imerkouri
@annecurtissmith

Top Replied-To in G1:
@cdcgov
@drmattmccarthy
@expressen
@kawachi_dog

Top Replied-To in G4:
@erikstownsend

Top Replied-To in G5:
@dtal1928
@patelvistalks
@who
@dr2nisreenalwan
@carinatking
@gekiros
@senorazombie
@ammoriffic
@thucydidestried
@politics_desert

Top Replied-To in G8:
@sergi_prats85
@medinapatologo

Top Replied-To in G9:
@tomorrowtechtj

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@sanidadgob
@surgeon_
@drericding
@koike_akira
@nextstrain
@guardiacivil
@realdonaldtrump
@who
@drhuerta

Top Mentioned in G1:
@cdcgov
@surgeon_
@cdcdirector
@cristobmorales
@t_inglesby
@potus
@whitehouse
@sumidatomohisa
@joannec59874858
@govmikedewine

Top Mentioned in G2:
@conventuslaw

Top Mentioned in G3:
@sanidadgob
@pediatriabalear
@aep
@seipweb
@julymed08
@msdespana
@emesa30
@envejecercsic
@raulcalvorico
@aepap

Top Mentioned in G4:
@drericding
@cdcgov
@erikstownsend
@chrismartenson
@business
@tweet_stamp

Top Mentioned in G5:
@who
@cosweda
@cdcgov
@drtedros
@patelvistalks
@allisonmcolbert
@aabhas24
@covidnewsbymib
@dr2nisreenalwan
@carinatking

Top Mentioned in G6:
@koike_akira

Top Mentioned in G7:
@nextstrain
@gisaid
@fengjun_zhang
@nyulangone
@unilj
@3xueying
@tommy_nezy
@institutpasteur
@taeh00nha
@kyobinkang

Top Mentioned in G8:
@guardiacivil
@saludpublicaes
@sanidadgob
@bdnalbert
@juanjoband24

Top Mentioned in G9:
@realdonaldtrump
@mike_pence
@cdcgov
@fema
@deptofdefense
@usacehq
@usnationalguard
@vp
@nws
@readygov

Top Mentioned in G10:
@tjo_datasci
@ichikawa_shi

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@alllibertynews
@ecodaren
@marcodacostafx
@kogemayo
@matiere
@llemj
@cutiebuono
@akikohirakue
@func_hs

Top Tweeters in G1:
@ecodaren
@cutiebuono
@rosenchild
@hirogallery
@mikedesai
@ronaldjhelzenga
@tarungarg87
@peterpyke
@everyhumanknows
@daydreamthis

Top Tweeters in G2:
@alllibertynews
@matiere
@schestowitz
@michaelorndoff
@akabeko_kanaha
@osakakyoto_0825
@ronosyuka
@vitimestoday
@narusehironori
@24sante_fr

Top Tweeters in G3:
@marcodacostafx
@llemj
@fcr501
@meme_montero
@chusina5
@nachoanon
@lopez9346
@maketolari
@latatcherone
@1960anamari

Top Tweeters in G4:
@dancas2
@b1e56df9ce6549f
@business
@aziegler
@redboybroken
@smittycanada1
@samches
@onowland
@demoraeslucia1
@michael_kunz

Top Tweeters in G5:
@princessbibirf_
@rajivnayan7
@skynews
@onyematomorrow
@4tchat
@samarino1776
@afp
@greenesj333
@afpespanol
@ritapanahi

Top Tweeters in G6:
@deki3
@gideon_rose1224
@ayukero52
@hitomifan
@bube_peace
@debu4649
@egoist5396
@yusuraume529
@myoken11
@raven_6_trpg

Top Tweeters in G7:
@aldksgody11
@ilovedigna
@hs_yeah
@miqazi
@gailwaldby
@mgmglobal
@leaskh
@now__here
@hebaisgood
@tnakinkpod

Top Tweeters in G8:
@kikemlaga
@hidalgodepucela
@ultimavuelta1
@talantepositivo
@miguelservera
@sabelabravo
@bdnalbert
@es01742275
@joancalabuig
@lolapichardo10

Top Tweeters in G9:
@inabsentia9
@pepitobarcelona
@_reaalamerican_
@nuria2407
@jasonandtracyg
@pjsullivan442
@chappie2010
@behling_holly
@kenlsk54
@gran4702

Top Tweeters in G10:
@sakumariko
@7mencho
@zimei_no_ri
@hossy1987
@indigomode
@ktaros2
@jentleman10
@sandonohito
@motohi_rock
@johngombei