NCoV, Twitter, 9/21/2020 11:41:10 AM, 235583
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NCoV_2020-09-21_01-39-19.xlsx
NCoV_2020-09-21_01-39-19.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
September 21, 2020
Short Description:
NCoV via NodeXL https://bit.ly/35QXyWh
@jljcolorado
@cdcgov
@carlesenric
@who
@linseymarr
@cdcdirector
@cdcemergency
@viralvideovlogs
@kikofrankfurt
@zeynep

Top hashtags:
#covid19
#wearamask
#coronavirus
#covid_19
#nj
#covidview
#新型コロナウイルス
#community
#cdc
#breaking

Description:
Description
The graph represents a network of 7,653 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, 21 September 2020 at 08:47 UTC.

The requested start date was Monday, 21 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 3-day, 12-hour, 54-minute period from Thursday, 17 September 2020 at 11:06 UTC to Monday, 21 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 : 7653
Unique Edges : 3704
Edges With Duplicates : 12798
Total Edges : 16502
Number of Edge Types : 5
Retweet : 5919
MentionsInRetweet : 7622
Mentions : 1364
Replies to : 555
Tweet : 1042
Self-Loops : 1063
Reciprocated Vertex Pair Ratio : 0.0048747307561501
Reciprocated Edge Ratio : 0.00970216606498195
Connected Components : 784
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 5266
Maximum Edges in a Connected Component : 12918
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.659954
Graph Density : 0.000151364166132008
Modularity : 0.505203
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,653 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, 21 September 2020 at 08:47 UTC.

The requested start date was Monday, 21 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 3-day, 12-hour, 54-minute period from Thursday, 17 September 2020 at 11:06 UTC to Monday, 21 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:
[194] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[192] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_210_COVID-19.pdf
[92] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[78] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[65] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_209_COVID-19.pdf
[53] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/indicators.html
[51] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[42] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G1:
[42] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[22] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[20] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/indicators.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/election-polling-locations.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html

Top URLs in Tweet in G2:
[64] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[3] https://twitter.com/DavidElfstrom/status/1307799544697163777
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/disinfecting-your-home.html#ventilation
[2] https://web.archive.org/web/20200917013309/https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[2] https://www.youtube.com/watch?v=T1OW6LR7Ric&feature=youtu.be

[1] https://twitter.com/jljcolorado/status/1307787446948511744
[1] https://twitter.com/RodrigoAbad1917/status/1307810587817189377
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Recomendaciones_de_operacion_y_mantenimiento.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Guia_actuacion_centros_educativos.pdf

Top URLs in Tweet in G3:
[15] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_210_COVID-19.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_209_COVID-19.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_208_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Fallecidos_COVID19.xlsx
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm

Top URLs in Tweet in G4:
[26] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[16] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[13] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/indicators.html#thresholds
[7] https://www.cdc.gov/coronavirus/2019-ncov/index.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#cases_totalcases
[6] https://eautocheck.de/
[5] https://www.cdc.gov/coronavirus/2019-ncov/downloads/declaration-form.pdf

Top URLs in Tweet in G5:
[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://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fcell.com%2F2019-nCOV&rc=0
[2] https://www.cell.com/cell/fulltext/S0092-8674(20)31230-7
[2] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.cell.com%2F2019-nCOV&rc=0
[1] https://www.jhsph.edu/research/centers-and-institutes/johns-hopkins-education-and-research-center-for-occupational-safety-and-health/can-a-mask-protect-me-putting-homemade-masks-in-the-hierarchy-of-controls
[1] http://www.bccdc.ca/health-info/diseases-conditions/covid-19/prevention-risks/masks
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/ppe-strategy/decontamination-reuse-respirators.html
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[1] https://twitter.com/jljcolorado/status/1307787446948511744
[1] https://apps.who.int/iris/bitstream/handle/10665/334299/WHO-2019-nCoV-SAGE_Framework-Allocation_and_prioritization-2020.1-eng.pdf?sequence=1&isAllowed=y

Top URLs in Tweet in G6:
[12] https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/testing.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/indicators.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://bit.ly/CDC-Masciotra
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G7:
[40] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_210_COVID-19.pdf
[38] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_209_COVID-19.pdf
[8] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_208_COVID-19.pdf
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/27_08_2020_Guia_de_actuacion_centros_educativos.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania/docs/20_09_11_Preguntas_y_respuestas_vuelta_al_cole.pdf
[2] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/2020_07_31_Guia_autoayuda_impacto_pandemia.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/home.htm

Top URLs in Tweet in G8:
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fprepare%2Fmanaging-stress-anxiety.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/animals/service-therapy-animals.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/election-polling-locations.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.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/prevent-getting-sick/social-distancing.html

Top URLs in Tweet in G9:
[10] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_209_COVID-19.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/php/public-health-recommendations.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html#
[3] https://gnews.org/zh-hans/98689/
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[2] https://pubmed.ncbi.nlm.nih.gov/32092911/
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-01248-1

Top URLs in Tweet in G10:
[125] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_210_COVID-19.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_208_COVID-19.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_209_COVID-19.pdf
[2] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1265] cdc.gov
[341] gob.es
[105] recombinomics.co
[90] europa.eu
[58] twitter.com
[46] tokyo.jp
[43] gencat.cat
[28] lci.fr
[28] who.int
[22] publichealthontario.ca

Top Domains in Tweet in G1:
[228] cdc.gov
[7] archive.org
[6] twitter.com
[3] bit.ly
[2] gob.es
[1] europa.eu
[1] lci.fr
[1] arcgis.com
[1] google.com
[1] acpjournals.org

Top Domains in Tweet in G2:
[68] cdc.gov
[6] twitter.com
[4] gob.es
[2] archive.org
[2] youtube.com

Top Domains in Tweet in G3:
[24] gob.es

Top Domains in Tweet in G4:
[262] cdc.gov
[105] recombinomics.co
[20] gob.es
[18] europa.eu
[18] twitter.com
[12] eautocheck.de
[9] tokyo.jp
[9] gencat.cat
[8] scholarsportal.info
[7] nytimes.com

Top Domains in Tweet in G5:
[8] who.int
[4] cell.com
[4] elsevierhealth.com
[3] cdc.gov
[2] twitter.com
[1] jhsph.edu
[1] bccdc.ca
[1] onu.edu

Top Domains in Tweet in G6:
[17] cdc.gov
[12] sandiegocounty.gov
[3] twitter.com
[1] bit.ly
[1] kusi.com

Top Domains in Tweet in G7:
[110] gob.es
[2] europa.eu

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

Top Domains in Tweet in G9:
[37] cdc.gov
[6] gob.es
[4] nih.gov
[4] who.int
[3] gnews.org
[2] elsevierhealth.com
[2] nature.com
[2] pnas.org
[1] publichealthontario.ca
[1] twitter.com

Top Domains in Tweet in G10:
[132] gob.es
[2] cdc.gov
[2] europa.eu

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1969] covid19
[398] wearamask
[218] coronavirus
[122] covid_19
[71] nj
[60] covidview
[59] 新型コロナウイルス
[59] community
[52] cdc
[42] breaking



Top Hashtags in Tweet in G1:
[821] covid19
[202] wearamask
[45] covidview
[14] laborday
[11] aerosol
[11] sarscov2
[10] coronavirus
[6] ponteunamascarilla
[6] mask
[5] community

Top Hashtags in Tweet in G2:
[2] sarscov2
[2] aerosols
[1] epitwitter
[1] medtwitter

Top Hashtags in Tweet in G3:
[1] ikerjimenezteengana

Top Hashtags in Tweet in G4:
[75] covid19
[35] coronavirus
[8] covid
[8] outbreak
[7] sarscov2
[6] wearamask
[6] topenews
[5] ncov
[5] slowthespread
[5] cdc

Top Hashtags in Tweet in G5:
[12] covid19
[5] fanb
[3] coronavirus
[3] sarscov2
[2] ejercitobolivarianobicentenario
[2] serological
[2] immune
[2] pediatric
[2] inflammatory
[2] infection

Top Hashtags in Tweet in G6:
[243] covid19
[19] wearamask
[8] coronavirus
[8] 2019ncov
[6] covidview
[3] pandemic
[1] covidstopswithme
[1] heart
[1] myocarditis
[1] damage

Top Hashtags in Tweet in G7:
[220] covid19
[84] coronavirus
[11] nolotiresporlaborda
[4] estonoesunjuego
[4] mascarilla

Top Hashtags in Tweet in G8:
[163] wearamask
[160] covid19
[52] community
[14] health
[7] covidview
[5] doyourpart
[5] prepyourhealth
[3] laborday
[2] selfcaresunday
[1] oregonfires2020

Top Hashtags in Tweet in G9:
[3] unfit
[2] votetrumpout
[2] trumpknew
[2] trumpiskillingus
[2] covidiot
[2] crimsoncontagion
[2] fakenews
[1] 2019ncov
[1] covid19
[1] crédibilité

Top Hashtags in Tweet in G10:
[1] ayusoconfinatetuprimero
[1] gobiernocriminalycorrupto

Top Words
Top Words in Tweet in Entire Graph:
[2216] cdc
[2047] covid
[1969] #covid19
[1917] importante
[1766] 19
[1211] cdcgov
[1004] jljcolorado
[980] usa
[963] transmisión
[947] acaba

Top Words in Tweet in G1:
[1094] cdcgov
[821] #covid19
[428] cdc
[317] help
[280] spread
[265] linseymarr
[224] slow
[216] spreads
[211] droplets
[204] people

Top Words in Tweet in G2:
[1834] importante
[961] jljcolorado
[941] cdc
[926] covid
[923] 19
[918] acaba
[918] reconocer
[917] extremadamente
[917] usa
[917] transmisión

Top Words in Tweet in G3:
[624] uci
[621] madrid
[618] carlesenric
[617] datos
[611] confirmado
[611] moncloa
[611] hemos
[611] apostado
[611] gente
[611] opine

Top Words in Tweet in G4:
[389] covid
[231] deaths
[229] cases
[220] increase
[186] ncov
[174] 19
[162] 2019
[105] recombinomics
[105] inc
[75] #covid19

Top Words in Tweet in G5:
[253] coronavirus
[251] 2019
[251] ncov
[249] recomendaciones
[249] población
[249] acerca
[244] somos_ejercito
[197] organización
[197] mundial
[197] salud

Top Words in Tweet in G6:
[243] #covid19
[236] cdcdirector
[225] help
[195] protect
[183] more
[182] face
[181] public
[179] health
[179] nation
[177] significant

Top Words in Tweet in G7:
[220] #covid19
[174] saludpublicaes
[145] datos
[130] españa
[128] sanidadgob
[92] información
[86] sigue
[85] manos
[84] recomendaciones
[84] #coronavirus

Top Words in Tweet in G8:
[181] cdcemergency
[163] #wearamask
[160] #covid19
[127] help
[100] mask
[96] spread
[92] slow
[75] hands
[74] wash
[72] stay

Top Words in Tweet in G9:
[28] ifr
[20] cdc
[15] realdonaldtrump
[14] 50
[13] covid
[13] ncov
[12] 2019
[11] msnbc
[11] mask
[10] deaths

Top Words in Tweet in G10:
[132] uci
[131] madrid
[119] kikofrankfurt
[118] personas
[118] broma
[118] confinados
[118] co
[118] v36vasepok
[14] datos
[10] ingresados

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1706] covid,19
[950] cdc,usa
[947] acaba,reconocer
[947] transmisión,importante
[947] importante,covid
[946] extremadamente,importante
[946] importante,cdc
[946] usa,acaba
[946] reconocer,transmisión
[944] jljcolorado,extremadamente

Top Word Pairs in Tweet in G1:
[223] slow,spread
[217] spread,#covid19
[156] covid,19
[156] main,way
[154] droplets,aerosols
[153] inhalation,droplets
[153] virus,spreads
[152] wow,cdc
[152] cdc,acknowledges
[152] acknowledges,inhalation

Top Word Pairs in Tweet in G2:
[923] covid,19
[918] acaba,reconocer
[917] extremadamente,importante
[917] importante,cdc
[917] cdc,usa
[917] usa,acaba
[917] reconocer,transmisión
[917] transmisión,importante
[917] importante,covid
[915] jljcolorado,extremadamente

Top Word Pairs in Tweet in G3:
[614] uci,madrid
[611] confirmado,moncloa
[611] moncloa,hemos
[611] hemos,apostado
[611] apostado,gente
[611] gente,opine
[611] opine,datos
[611] datos,reales
[611] reales,ingresados
[611] ingresados,uci

Top Word Pairs in Tweet in G4:
[210] covid,cases
[210] cases,increase
[158] covid,19
[153] 2019,ncov
[105] ncov,recombinomics
[105] recombinomics,inc
[21] learn,more
[19] 2020,09
[17] spread,covid
[16] wash,hands

Top Word Pairs in Tweet in G5:
[251] 2019,ncov
[249] recomendaciones,población
[249] población,acerca
[249] acerca,coronavirus
[249] coronavirus,2019
[244] somos_ejercito,recomendaciones
[197] ncov,organización
[197] organización,mundial
[197] mundial,salud
[39] preliminary,investigations

Top Word Pairs in Tweet in G6:
[194] help,protect
[177] #covid19,significant
[177] significant,public
[177] public,health
[177] health,challenge
[177] challenge,face
[177] face,nation
[177] nation,more
[177] more,century
[177] century,help

Top Word Pairs in Tweet in G7:
[144] datos,#covid19
[128] #covid19,españa
[83] actualización,datos
[83] materiales,información
[83] información,#coronavirus
[79] sigue,recomendaciones
[67] españa,materiales
[64] sanidadgob,actualización
[61] españa,primer
[61] primer,caso

Top Word Pairs in Tweet in G8:
[93] spread,#covid19
[92] slow,spread
[80] cdcemergency,#wearamask
[76] help,slow
[74] wash,hands
[72] #wearamask,wash
[70] stay,feet
[69] hands,watch
[69] watch,distance
[69] distance,stay

Top Word Pairs in Tweet in G9:
[12] 2019,ncov
[7] 70,ifr
[6] cdc,updated
[6] updated,covid
[6] covid,ifr
[6] ifr,week
[6] week,began
[6] began,breaking
[6] breaking,age
[6] age,lt

Top Word Pairs in Tweet in G10:
[128] uci,madrid
[118] personas,uci
[118] madrid,broma
[118] broma,confinados
[118] confinados,co
[118] co,v36vasepok
[117] kikofrankfurt,personas
[10] ingresados,uci
[9] carlesenric,confirmado
[9] confirmado,moncloa

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@cdcemergency
@whimsicalaf
@trollasaurusrx
@jennifernuzzo
@janogarcia_
@teamtrump
@nygovcuomo
@cdcgov
@racheltortorici

Top Replied-To in G1:
@jennifernuzzo
@angie_rasmussen
@cdcgov
@sleepy_suz
@drvyom
@adrianbarbon
@nikomer75
@sprkjoy4btrdays
@cbcnews
@magggran

Top Replied-To in G2:
@aeoncoin
@lapointeshaw
@yycgman
@nikomer75
@acpinternists
@salvadorilla
@cckristal
@gm_ache
@ivannavarromart
@navedelmisterio

Top Replied-To in G3:
@janogarcia_
@ierrejon
@factanverba1
@nuevasub
@auxiliar_a
@marusia64502220
@arturovilla_
@littlecuwwg1wga
@polares
@electo_mania

Top Replied-To in G4:
@beacon_college

Top Replied-To in G5:
@who
@wendibloomenth1
@farmagemma
@chrissaccoccia1

Top Replied-To in G6:
@westcoastnats1

Top Replied-To in G8:
@cdcemergency

Top Replied-To in G9:
@realdonaldtrump
@teamtrump
@badtakesbot1
@fatemperor
@mike_pence
@luthier122
@cnn
@imdarrendunn2
@bristoliver
@seanhannity

Top Replied-To in G10:
@masiz74
@killerforby
@titopitri
@idiazayuso
@la_ser
@annimartzam
@itsandorfi
@majortomtoround
@maitema33084900
@pilar_rabasa

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@jljcolorado
@carlesenric
@who
@linseymarr
@cdcdirector
@somos_ejercito
@cdcemergency
@saludpublicaes
@ashishkjha

Top Mentioned in G1:
@cdcgov
@linseymarr
@ashishkjha
@hhsgov
@j_g_allen
@helenbranswell
@ostraperlera
@yaneerbaryam
@cdcespanol
@jljcolorado

Top Mentioned in G2:
@jljcolorado
@linseymarr
@kprather88
@j_g_allen
@shellymboulder
@corsiaq
@don_milton
@who
@jmcrookston

Top Mentioned in G3:
@carlesenric
@jljcolorado
@diegogomezdeck
@jose4ez
@misifu72
@factanverba1
@janogarcia_
@revolucidez
@yolaine_fndz
@ferminvandamme

Top Mentioned in G4:
@coronavirush24
@stigmabase
@yaleeip
@beebehealthcare
@donmgreen

Top Mentioned in G5:
@who
@somos_ejercito
@wh
@saadomer3
@cellcellpress
@cellpressnews
@sergiocoscolin
@homelessquatchi
@jjhorgan
@cdcofbc

Top Mentioned in G6:
@cdcdirector
@cdcgov
@sandiegocounty
@jljcolorado
@californiadds
@kusinews
@hhsgov

Top Mentioned in G7:
@saludpublicaes
@sanidadgob
@dgobiernocv
@jljcolorado
@pifermu
@delegobcataluna
@diegogomezdeck
@ampasanjuancruz

Top Mentioned in G8:
@cdcemergency
@cdcgov
@cdc_ncezid
@ohaoregon
@cdcdirector
@jcdhtweets
@phegov
@nacchoalerts
@astho
@ascetweets

Top Mentioned in G9:
@realdonaldtrump
@msnbc
@joebiden
@alexberenson
@gummibear737
@mistercommodity
@cnn
@kerpen
@likethemountain
@mike7590396

Top Mentioned in G10:
@kikofrankfurt
@carlesenric
@idiazayuso
@sentidocomunstc
@foxmulder22791
@dr_calleja
@dangarcar
@derdavid18
@la_ser
@colinrivas

Top Tweeters
Top Tweeters in Entire Graph:
@dichristine
@marcodacostafx
@federicoalves
@robre62
@lopezgovlaw
@sharneal
@cloudwanderer3
@ez4u2say_janis
@delta
@wittgenstein_jm

Top Tweeters in G1:
@dichristine
@federicoalves
@chuddles11
@b1e56df9ce6549f
@indianexpress
@sazamaru
@amyayers16
@mjgarciakcmo
@ndylan1
@tres444

Top Tweeters in G2:
@silvi_ta
@el_pais
@siquieresmelees
@javierdecaceres
@paulpaul49
@a3noticias
@rtve
@deivid_cn
@____roar____
@mrosagarciag

Top Tweeters in G3:
@becaes_
@eelenavg
@conlluviaconsol
@isabelarcos6
@joselisa17
@jaavii009
@soylibre92
@classicus66
@lococomio
@franjota

Top Tweeters in G4:
@stigmabase
@didaclopez
@omozatu
@allentien
@donmgreen
@aureliobelandom
@penchoyaida
@crwriter1
@colbenjamin
@nonnydee

Top Tweeters in G5:
@pfanderson
@hurtadonorlix
@m7m5ea
@teelin
@merin_kumar
@alistaircoleman
@woh_ladka
@miguel_soublett
@vzladouglas
@farmagemma

Top Tweeters in G6:
@outnow45
@pannlewis44
@bandislife2004
@saludhealthinfo
@bershodm
@adriene26
@ricrane9418
@careaware
@ckt0429
@its_outta_here

Top Tweeters in G7:
@marcodacostafx
@ridermarina
@nusagatero
@marisaparrilla
@meme_montero
@lomejordemadrid
@sdevincenzo
@alegraalonso
@937908mcm
@474ntx4

Top Tweeters in G8:
@jayoung1892
@laura78703
@partaisocmed
@quick13
@alcinx
@fox12oregon
@santafeez
@emweeklyrpt
@scientwest
@pam_newlife

Top Tweeters in G9:
@foxnews
@wsj
@cnn
@abc
@msnbc
@w7voa
@kerpen
@liberatedcit
@authorkimberley
@edgeofsports

Top Tweeters in G10:
@hechulera
@la_ser
@elenay29
@alejandra_v_c
@unkb2
@psoe
@isidrorodes
@lore_marti13
@mcarmenamat1
@foxmulder22791


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