NCoV, Twitter, 9/1/2020 12:28:35 PM, 234102


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NCoV_2020-09-01_03-51-43.xlsx
NCoV_2020-09-01_03-51-43.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 01, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2DiUer3
@cdcgov
@chrismurphyct
@sanidadgob
@laporres
@who
@usdot
@spiralwrap
@potus
@saludpublicaes
@tomfitton

Top hashtags:
#covid19
#allergies
#coronavirus
#dyk
#wearamask
#mask
#新型コロナウイルス
#covid_19
#covidview
#coronavirusitalia

Description:
Description
The graph represents a network of 7,829 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, 01 September 2020 at 11:01 UTC.

The requested start date was Tuesday, 01 September 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, 7-hour, 32-minute period from Saturday, 29 August 2020 at 16:28 UTC to Tuesday, 01 September 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 : 7829
Unique Edges : 2728
Edges With Duplicates : 12613
Total Edges : 15341
Number of Edge Types : 5
Tweet : 1097
Retweet : 5794
MentionsInRetweet : 6378
Replies to : 679
Mentions : 1393
Self-Loops : 1127
Reciprocated Vertex Pair Ratio : 0.00416395575797007
Reciprocated Edge Ratio : 0.00829337825579889
Connected Components : 949
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 4955
Maximum Edges in a Connected Component : 11192
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.309024
Graph Density : 0.000125919036001586
Modularity : 0.496959
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,829 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, 01 September 2020 at 11:01 UTC.

The requested start date was Tuesday, 01 September 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, 7-hour, 32-minute period from Saturday, 29 August 2020 at 16:28 UTC to Tuesday, 01 September 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:
[84] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases
[74] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_196_COVID-19.pdf
[71] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[66] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[63] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[56] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[45] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[42] https://www.cdc.gov/coronavirus/2019-ncov/php/public-health-recommendations.html
[35] https://www.niid.go.jp/niid/images/lab-manual/2019-nCoV20200318v2.pdf
[33] https://nextstrain.org/narratives/ncov/sit-rep/ja/2020-08-14

Top URLs in Tweet in G1:
[20] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-seasonal-allergies-faqs.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html?deliveryName=USCDC_2067-DM36401
[5] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/deciding-to-go-out.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wear-cloth-face-coverings.html

Top URLs in Tweet in G2:
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/04102020/nchs-data.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/large-events/considerations-for-events-gatherings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G3:
[54] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_196_COVID-19.pdf
[11] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/27_08_2020_Guia_de_actuacion_centros_educativos.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_195_COVID-19.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/telefonos.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/030520_GUIA_COMPRA_MASCARILLAS.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/20.03.24_AislamientoDomiciliario_COVID19.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[1] https://bit.ly/2BVlLOq
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Listado_virucidas.pdf

Top URLs in Tweet in G4:
[16] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[12] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html?deliveryName=USCDC_2067-DM36401
[9] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-seasonal-allergies-faqs.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[7] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[6] https://nextstrain.org/ncov/global

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/coronavirus/2019-ncov/downloads/community/CFC_Guide_for_School_Administrators.pdf
[2] https://twitter.com/TomFitton/status/1284288493171150848

Top URLs in Tweet in G6:
[11] https://www.who.int/publications/i/item/WHO-2019-nCoV-EHS_continuity-survey-2020.1#.X0ziEX3lNXw.twitter
[5] https://www.who.int/publications/i/item/WHO-2019-nCoV-EHS_continuity-survey-2020.1
[2] https://www.who.int/publications/i/item/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak
[2] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-EHS_continuity-survey-2020.1#.X0ziEX3lNXw.twitter
[2] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-692085
[2] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/?output=&lang=en&from=&sort=&format=&count=&fb=&page=1&skfp=&index=tw&q=(ta:(profesional+de+la+informaci%C3%B3n))
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-EHS_continuity-survey-2020.1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC_Masks-Children-2020.1
[1] https://www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/contact-tracing-plan/contact-tracing.html

Top URLs in Tweet in G7:
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-seasonal-allergies-faqs.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wear-cloth-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/pets.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/animals.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/quarantine.html
[1] http://r.socialstudio.radian6.com/e63ae031-f04b-4bd9-b6ea-173540b12571

Top URLs in Tweet in G8:
[1] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fus-cases-deaths.html#cases
[1] https://cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wash-cloth-face-coverings.html

Top URLs in Tweet in G9:
[19] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/
[3] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/represa-de-la-normalitat/mesures-per-contenir-els-brots/mesures-per-contenir-els-brots-aplicables-a-tot-catalunya/
[2] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[2] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/prevencio/aillament-domiciliari/
[2] http://gestioemocional.cat/
[2] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/gestio-de-les-emocions/gestioemocional.cat/
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/cartells-per-a-centres-educatius/
[1] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/represa-de-la-normalitat/deteccio-de-casos-i-seguiment-de-contactes
[1] https://twitter.com/salutcat/status/1299761751983116294?s=20
[1] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/deteccio-de-casos-i-seguiment-de-contactes/#bloc1

Top URLs in Tweet in G10:
[19] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases
[11] https://www.globalresearch.ca/ncov-2019-coronavirus-time-line/5705776
[8] https://www.cdc.gov/coronavirus/2019-ncov/php/public-health-recommendations.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
[2] https://www.youtube.com/watch?v=lmHRYzF0dyQ&feature=youtu.be

[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/evidence-table.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/end-home-isolation.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1138] cdc.gov
[191] gob.es
[116] recombinomics.co
[105] who.int
[93] europa.eu
[73] gencat.cat
[72] go.jp
[65] nextstrain.org
[59] flutrackers.com
[53] twitter.com

Top Domains in Tweet in G1:
[166] cdc.gov
[3] twitter.com
[2] bit.ly
[2] globalresearch.ca
[1] sharefile.com
[1] gob.es
[1] osu.edu
[1] aafa.org
[1] fda.gov

Top Domains in Tweet in G2:
[7] cdc.gov

Top Domains in Tweet in G3:
[91] gob.es
[1] bit.ly
[1] twitter.com
[1] google.com

Top Domains in Tweet in G4:
[248] cdc.gov
[13] europa.eu
[11] gencat.cat
[11] go.kr
[11] twitter.com
[10] who.int
[9] gob.es
[8] eautocheck.de
[7] vnexpress.net
[7] nextstrain.org

Top Domains in Tweet in G5:
[2] cdc.gov
[2] twitter.com

Top Domains in Tweet in G6:
[27] who.int
[8] cdc.gov
[6] bvsalud.org
[1] propublica.org
[1] twitter.com

Top Domains in Tweet in G7:
[16] cdc.gov
[1] radian6.com
[1] hc.gov

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

Top Domains in Tweet in G9:
[32] gencat.cat
[2] gestioemocional.cat
[1] twitter.com
[1] t.me

Top Domains in Tweet in G10:
[54] cdc.gov
[11] globalresearch.ca
[4] youtube.com
[1] thefreedomarticles.com
[1] youtu.be
[1] twitter.com
[1] isglobal.org
[1] europa.eu
[1] fas.org
[1] gov.au

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2713] covid19
[848] allergies
[289] coronavirus
[171] dyk
[167] wearamask
[133] mask
[123] 新型コロナウイルス
[96] covid_19
[80] covidview
[69] coronavirusitalia



Top Hashtags in Tweet in G1:
[1472] covid19
[726] allergies
[139] wearamask
[136] dyk
[128] mask
[73] covidview
[10] slowthespread
[5] coronavirus
[4] cdc
[4] laura

Top Hashtags in Tweet in G2:
[3] covid19
[1] dyk
[1] allergies

Top Hashtags in Tweet in G3:
[444] covid19
[52] coronavirus
[22] nolotiresporlaborda
[4] distancia
[4] mascarilla
[2] fase1
[2] fase2
[2] estevirusloparamosunidos
[1] salimosmásfuertes
[1] mascarillas

Top Hashtags in Tweet in G4:
[86] covid19
[24] coronavirus
[12] ncov
[7] covid
[5] health
[5] 新型コロナウイルス
[4] slowthespread
[4] 2019_ncov
[4] 경기
[4] 서울

Top Hashtags in Tweet in G5:
[2] constitutionovercoronavirus

Top Hashtags in Tweet in G6:
[75] covid19
[42] pandemic
[17] oralhealth
[12] covid
[11] who
[10] vaccine
[9] healthservices
[3] coronavirus
[3] oms
[3] coronavirusdatabase

Top Hashtags in Tweet in G7:
[192] covid19
[96] allergies
[25] dyk
[3] covidview
[3] wearamask
[1] slowthespread
[1] doyourpart
[1] mask

Top Hashtags in Tweet in G9:
[10] covid19
[5] tornemalesescoles
[3] vic
[2] canalsalut
[2] triasalut
[2] aïllament
[1] tornadaalescola

Top Hashtags in Tweet in G10:
[8] covid19
[4] coronavirus
[4] trumpkills
[4] trumpvirus
[4] trumpfailed
[4] trumpisanationaldisgrace
[2] trumpdeathtoll183k
[2] donttrusttrump
[1] trumpdeathtoll181k
[1] trumpdeathtoll180k

Top Words
Top Words in Tweet in Entire Graph:
[2715] #covid19
[2118] covid
[1711] 19
[1614] cdcgov
[1028] many
[1002] symptoms
[921] key
[900] cdc
[887] seasonal
[876] between

Top Words in Tweet in G1:
[1512] cdcgov
[1472] #covid19
[1000] 19
[980] covid
[861] many
[812] symptoms
[783] key
[740] seasonal
[734] differences
[733] share

Top Words in Tweet in G2:
[513] chrismurphyct
[510] rnc
[510] speech
[510] biggest
[510] stage
[510] 23m
[510] watched
[510] question
[510] trump
[510] choose

Top Words in Tweet in G3:
[444] #covid19
[363] saludpublicaes
[229] sanidadgob
[188] contacto
[182] distancia
[181] caso
[178] estrecho
[134] información
[117] pcr
[114] considera

Top Words in Tweet in G4:
[152] covid
[151] 19
[86] cdc
[86] #covid19
[70] ncov
[54] more
[50] help
[47] learn
[46] coronavirus
[44] mask

Top Words in Tweet in G5:
[260] cdc
[260] still
[260] pushing
[260] unworkable
[260] junk
[260] science
[260] mask
[260] mandates
[260] untenable
[260] social

Top Words in Tweet in G6:
[151] services
[120] health
[75] #covid19
[72] shows
[63] disrupted
[62] survey
[58] countries
[55] essential
[52] pulse
[47] country

Top Words in Tweet in G7:
[192] #covid19
[176] cdcemergency
[99] symptoms
[99] seasonal
[99] key
[97] share
[97] many
[96] #allergies
[96] differences
[96] between

Top Words in Tweet in G8:
[293] government
[153] trump
[146] years
[146] ago
[146] basic
[146] duty
[146] defend
[146] lives
[146] citizens
[146] fails

Top Words in Tweet in G9:
[138] mesures
[137] més
[136] salutcat
[134] prohibeixen
[134] trobades
[134] reunions
[133] contenir
[133] els
[133] brots
[133] aplicables

Top Words in Tweet in G10:
[30] realdonaldtrump
[18] deaths
[15] cdc
[13] alexberenson
[13] know
[11] link
[10] total
[10] littllemel
[9] cases
[9] ask

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1599] covid,19
[864] share,many
[864] symptoms,key
[864] key,differences
[863] many,symptoms
[862] differences,between
[859] between,two
[856] #covid19,seasonal
[848] two,example
[846] seasonal,#allergies

Top Word Pairs in Tweet in G1:
[979] covid,19
[733] share,many
[733] many,symptoms
[733] symptoms,key
[733] key,differences
[731] #covid19,seasonal
[731] differences,between
[727] between,two
[726] seasonal,#allergies
[726] #allergies,share

Top Word Pairs in Tweet in G2:
[510] rnc,speech
[510] speech,biggest
[510] biggest,stage
[510] stage,23m
[510] 23m,watched
[510] watched,question
[510] question,trump
[510] trump,choose
[510] choose,socially
[510] socially,distance

Top Word Pairs in Tweet in G3:
[178] contacto,estrecho
[114] considera,contacto
[114] positivo,#covid19
[114] #covid19,protección
[114] protección,distancia
[111] saludpublicaes,considera
[102] distancia,15
[100] estrecho,estar
[100] estar,positivo
[99] datos,#covid19

Top Word Pairs in Tweet in G4:
[136] covid,19
[25] learn,more
[22] 2019,ncov
[18] spread,covid
[17] protect,yourself
[14] slow,spread
[13] seasonal,allergies
[12] wear,mask
[12] face,cover
[11] select,wear

Top Word Pairs in Tweet in G5:
[260] cdc,still
[260] still,pushing
[260] pushing,unworkable
[260] unworkable,junk
[260] junk,science
[260] science,mask
[260] mask,mandates
[260] mandates,untenable
[260] untenable,social
[260] social,distancing

Top Word Pairs in Tweet in G6:
[117] health,services
[52] pulse,survey
[46] study,shows
[46] shows,nearly
[46] nearly,country
[46] seen,health
[46] services,disrupted
[46] disrupted,#covid19
[46] essential,health
[42] country,earth

Top Word Pairs in Tweet in G7:
[96] #covid19,seasonal
[96] seasonal,#allergies
[96] #allergies,share
[96] share,many
[96] many,symptoms
[96] symptoms,key
[96] key,differences
[96] differences,between
[96] between,two
[96] two,example

Top Word Pairs in Tweet in G8:
[146] trump,years
[146] years,ago
[146] ago,basic
[146] basic,duty
[146] duty,government
[146] government,defend
[146] defend,lives
[146] lives,citizens
[146] citizens,government
[146] government,fails

Top Word Pairs in Tweet in G9:
[134] prohibeixen,trobades
[134] trobades,reunions
[134] reunions,més
[133] mesures,contenir
[133] contenir,els
[133] els,brots
[133] brots,aplicables
[133] aplicables,tot
[133] tot,catalunya
[133] catalunya,prohibeixen

Top Word Pairs in Tweet in G10:
[8] direct,link
[8] link,know
[8] know,someone
[8] someone,ask
[7] alexberenson,direct
[5] total,deaths
[4] usa,#coronavirus
[4] total,cases
[4] 20,compared
[4] compared,yesterday

Top Replied-To
Top Replied-To in Entire Graph:
@topublichealth
@littllemel
@moon_bio
@luckywthestr8rt
@cariknits
@sarahaboubi1
@cdcgov
@cdcemergency
@senschumer
@mastrchief1969

Top Replied-To in G1:
@cdcgov
@hardogsnight
@bouldercolorado
@angeleyez2111

Top Replied-To in G2:
@tskisoccer
@chrismurphyct
@mattyo73
@perdee22
@craigvecellio

Top Replied-To in G3:
@sanidadgob

Top Replied-To in G4:

Top Replied-To in G6:
@guntarsv
@patralekha2011
@thejessicalife
@turtlepoker

Top Replied-To in G7:
@cdcemergency

Top Replied-To in G9:
@erc_badia

Top Replied-To in G10:
@littllemel
@foxnews
@johnhancoq
@alexberenson
@jpr41411
@mdr1013
@jonatha10694557
@bhuglamna
@kunzana4
@monkeyq17

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@chrismurphyct
@saludpublicaes
@tomfitton
@sanidadgob
@cdcemergency
@mcfaul
@salutcat
@who
@cdcdirector

Top Mentioned in G1:
@cdcgov
@cdcdirector
@hhsgov
@cdc_ncezid
@cdcemergency
@surgeon_general
@cookcohealth
@cnichq
@repescobar
@markpoloncarz

Top Mentioned in G2:
@chrismurphyct
@cdcgov
@sydneylwatson
@bennyjohnson
@realitybites505
@trumptrain114
@saribythesea
@warondumb

Top Mentioned in G3:
@saludpublicaes
@sanidadgob
@060gobes
@educaciongob
@consumogob
@dgobiernocv
@cdcgov
@piminu
@mitmagob
@mitecogob

Top Mentioned in G4:
@robertdunn7
@slorel96
@rlizares
@hhackenbecker
@schaechterle
@sam_assertive
@thebaddadder
@lawrenceearlmd
@jdgonbay

Top Mentioned in G5:
@tomfitton

Top Mentioned in G6:
@who
@laurie_garrett
@paimadhu
@benoit_varenne
@cdcgov
@asoucat
@lawrencegostin
@drandrewball
@equitylist
@revista_epi

Top Mentioned in G7:
@cdcemergency
@cdcgov
@cabell_hlthdept
@miamivamc
@healthcaregov
@nedhhs
@statehealthin

Top Mentioned in G8:
@mcfaul
@ncdhhs
@chrismurphyct

Top Mentioned in G9:
@salutcat
@josepbargallo
@tornemescoles
@icscat
@gencat
@sanidadgob
@aj_vic
@hospitalclinic
@saludpublicaes
@icsebre

Top Mentioned in G10:
@realdonaldtrump
@alexberenson
@damien2nd
@littllemel
@donaldjtrumpjr
@craig_a_spencer
@gop
@1naasty
@martingeddes
@mac8275

Top Tweeters
Top Tweeters in Entire Graph:
@simanekomama
@dichristine
@amr_shin
@ecodaren
@marcodacostafx
@robre62
@lopezgovlaw
@littlebytesnews
@matiere
@joefreedomlove

Top Tweeters in G1:
@matiere
@joefreedomlove
@rjber15
@honeymoongondol
@paxnostrum
@chilhon2016lap
@beverly21811568
@fight4freedom72
@kimvie
@matthew669691

Top Tweeters in G2:
@dichristine
@phillip92321
@yarosisnancy
@bellesapepper37
@carolmaewy
@katcapps
@damonbethea1
@sheiladecker19
@patta47cake
@actdontreact

Top Tweeters in G3:
@marcodacostafx
@edgardogarciasa
@kaluapiscis
@marisaparrilla
@meme_montero
@jborrego
@937908mcm
@satrian
@milagros_andreu
@demiurgotuiter

Top Tweeters in G4:
@toicitiesnews
@didaclopez
@felixnater
@8000yo
@crwriter1
@haolethai
@carmenarpon
@colbenjamin
@futtarufureytha
@l_walkorthink

Top Tweeters in G5:
@miltonespinozaf
@dclarediane
@lucysullivan888
@laridor1
@icare4america16
@drofdem
@z_chrissie
@skippymanuel
@christas_cheryl
@formerusn

Top Tweeters in G6:
@pollsstar
@ketaminh
@caravaggio12
@pameladubsky49
@diegocruzblog
@golwgymor
@sandykalano
@jdignum
@celestebyrne3
@monitor_ph

Top Tweeters in G7:
@thereal_rebel
@kimpy123
@donna57013956
@paulmiller1313
@dcarsoncpa_nyc
@dcarsoncpa
@dcarsoncpa_ma
@pumpknspicesoul
@dcarsoncpa_ct
@dcarsoncpa_catx

Top Tweeters in G8:
@kat4obama
@russelltim151
@metaquest
@cberrl
@jodotcom
@gwydion620
@rodneyclaeys
@visitkarte
@barbaramain07
@ukexpat19

Top Tweeters in G9:
@albet777
@pili_stage
@lexmarcasvila
@nil_cat1
@splth32
@malberi6
@mallus_malleus
@sysco5
@riderman24h
@terrall2228

Top Tweeters in G10:
@bbusa617
@foxnews
@comfortablysmug
@politibunny
@realmattcouch
@sedonasurf
@joshtpm
@dhambrick63
@9newsnancy
@oann


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