NCoV, Twitter, 10/16/2020 11:49:19 AM, 238089


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NCoV_2020-10-16_01-38-36.xlsx
NCoV_2020-10-16_01-38-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 16, 2020
Short Description:
NCoV via NodeXL https://bit.ly/3j8faQi
@cdcgov
@viralvideovlogs
@salutcat
@saludpublicaes
@realdonaldtrump
@sanidadgob
@cheyennendn
@2013boodicca
@aragon_jb
@egarca8

Top hashtags:
#covid19
#coronavirus
#wearamask
#covid_19
#新型コロナウイルス
#sarscov2
#covidview

Description:
Description
The graph represents a network of 8,155 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 Friday, 16 October 2020 at 08:50 UTC.

The requested start date was Friday, 16 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, 13-hour, 23-minute period from Tuesday, 13 October 2020 at 10:34 UTC to Thursday, 15 October 2020 at 23:57 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 : 8155
Unique Edges : 4019
Edges With Duplicates : 11505
Total Edges : 15524
Number of Edge Types : 5
Replies to : 964
Mentions : 2194
Retweet : 5057
MentionsInRetweet : 5891
Tweet : 1418
Self-Loops : 1456
Reciprocated Vertex Pair Ratio : 0.00658561296859169
Reciprocated Edge Ratio : 0.0130850528434826
Connected Components : 1285
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 3913
Maximum Edges in a Connected Component : 8974
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.095837
Graph Density : 0.000119526220199841
Modularity : 0.522285
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,155 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 Friday, 16 October 2020 at 08:50 UTC.

The requested start date was Friday, 16 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, 13-hour, 23-minute period from Tuesday, 13 October 2020 at 10:34 UTC to Thursday, 15 October 2020 at 23:57 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:
[600] 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/
[101] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[79] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[78] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[76] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[70] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[67] https://www.fda.gov/media/134922/download
[66] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_227_COVID-19.pdf
[54] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[45] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/

Top URLs in Tweet in G1:
[525] 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/
[10] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/contactecovid-cat/
[7] 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/?fbclid=IwAR12m5D0I6NyBWYK_UyxCOA5WV2UDiHirQatvFExsrvqOdtU6ZTiVAJIBSo
[5] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[3] http://ow.ly/HnWA50BtQKm?utm_source=twitter&utm_medium=social&utm_campaign=
[3] https://tinyurl.com/y4daydbk
[3] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/informacio-per-a-families/
[2] https://twitter.com/salutcat/status/1316447827694845953
[2] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/salut-escola/informacio-per-a-families/
[2] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/stop-covid19-cat/

Top URLs in Tweet in G2:
[35] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_227_COVID-19.pdf
[33] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_228_COVID-19.pdf
[32] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_229_COVID-19.pdf
[11] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_226_COVID-19.pdf
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[5] 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/
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/02.10.2020_Preguntas_y_respuestas_vuelta_al_cole.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania/otrosIdiomas.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Que_hacer_ante_sintomas_de_COVID_19_durante_el_curso_escolar.pdf

Top URLs in Tweet in G3:
[28] 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/
[18] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[16] https://www.cdc.gov/coronavirus/2019-ncov/community/election-polling-locations.html
[15] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[14] https://www.fda.gov/media/134922/download
[12] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[12] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[12] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html#halloween
[12] https://www.vote.org/covid-19/
[12] https://www.vote.org/early-voting-calendar/

Top URLs in Tweet in G4:
[60] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/halloween.html?ACSTrackingID=USCDC_2067-DM40330
[8] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/k-12-testing.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html

Top URLs in Tweet in G5:
[8] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/talking-with-children.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001556546481&utm_campaign=Short+to+Mid-Term&linkId=100000016063646
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/organizations/utility-employees.html?utm_source=Twitter&utm_medium=social&utm_term=AIHA+Main
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001564494859&utm_campaign=Short+to+Mid-Term&linkId=100000016412924
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wash-cloth-face-coverings.html?utm_source=TWITTER&utm_medium=TWITTER&utm_content=100001566802303&utm_campaign=Short+to+Mid-Term&linkId=100000016585021
[1] https://bit.ly/33FsOGc

Top URLs in Tweet in G6:
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_227_COVID-19.pdf
[1] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_227_COVID-19.pdf
[1] https://twitter.com/biobiobiobior/status/1316070418479022080

Top URLs in Tweet in G7:
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-EHS_continuity-survey-2020.1

Top URLs in Tweet in G8:
[4] https://www.cdc.gov/coronavirus/2019-ncov/community/large-events/considerations-for-events-gatherings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[3] 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/index.html
[2] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html?fbclid=IwAR3DvH5umpJxiObUDTKBckeBAfqudrtvzWfQhYiUfHeEhCFeg5UXzalabGg
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G9:
[16] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[12] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[7] https://www.fda.gov/media/134922/download
[7] https://cienciaysaludnatural.com/
[5] https://cienciaysaludnatural.com/el-centro-de-control-de-enfermedades-admite-que-el-coronavirus-2019-ncov-aun-no-sido-aislado/
[3] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[3] https://espanol.cdc.gov/coronavirus/2019-ncov/community/colleges-universities/considerations.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/about/prevention-treatment.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-wear-cloth-face-coverings.html

Top URLs in Tweet in G10:
[16] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/taiin.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/0401d.html
[1] https://twitter.com/nhk_mito/status/1316674709694672896
[1] https://twitter.com/ibaraki_kouhou/status/1316301447797956612
[1] https://twitter.com/tsukubais/status/1316302070815748097
[1] https://twitter.com/ibaraki_kouhou/status/1316660585514237957
[1] https://twitter.com/tsukubais/status/1316664434358583298

Top Domains
Top Domains in Tweet in Entire Graph:
[1451] cdc.gov
[687] gencat.cat
[260] gob.es
[132] recombinomics.co
[103] europa.eu
[89] thewashingtonstandard.com
[85] twitter.com
[76] fda.gov
[61] lg.jp
[57] who.int

Top Domains in Tweet in G1:
[572] gencat.cat
[3] twitter.com
[3] ow.ly
[3] tinyurl.com
[2] contactecovid.cat
[1] gob.es

Top Domains in Tweet in G2:
[153] gob.es
[6] gencat.cat
[2] bit.ly
[2] mscbs.es

Top Domains in Tweet in G3:
[300] cdc.gov
[41] gencat.cat
[29] twitter.com
[27] europa.eu
[24] vote.org
[16] fda.gov
[15] gob.es
[12] ibaraki.jp
[12] lg.jp
[12] eautocheck.de

Top Domains in Tweet in G4:
[226] cdc.gov
[5] twitter.com
[3] bit.ly
[2] radian6.com
[1] clarkcountynv.gov
[1] milkeninstitute.org
[1] civillawselfhelpcenter.org
[1] gencat.cat

Top Domains in Tweet in G5:
[29] cdc.gov
[1] bit.ly
[1] t.co
[1] twitter.com
[1] sandiegocounty.gov
[1] harriscountytx.gov
[1] who.int

Top Domains in Tweet in G6:
[4] gob.es
[1] twitter.com

Top Domains in Tweet in G7:
[1] who.int

Top Domains in Tweet in G8:
[34] cdc.gov
[2] gov.au
[2] who.int
[1] npr.org
[1] americanthinker.com
[1] clinicaltrials.gov
[1] twitter.com
[1] pewresearch.org
[1] thewashingtonstandard.com

Top Domains in Tweet in G9:
[23] cdc.gov
[17] thewashingtonstandard.com
[12] cienciaysaludnatural.com
[7] fda.gov
[3] europa.eu
[1] twitter.com
[1] gob.es
[1] news-medical.net

Top Domains in Tweet in G10:
[25] ibaraki.jp
[5] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2012] covid19
[434] coronavirus
[271] wearamask
[262] covid_19
[199] 新型コロナウイルス
[132] sarscov2
[103] covidview
[86] covid19france
[77] italia
[77] coronavirusitalia



Top Hashtags in Tweet in G1:
[147] covid19
[14] coronavirus
[11] catalunya
[10] covid_19
[9] canalsalut
[5] ensensortirem
[5] covid
[4] triasalut
[4] bondia
[4] infostac

Top Hashtags in Tweet in G2:
[513] covid19
[116] coronavirus
[15] nolotiresporlaborda
[9] ventilación
[7] estonoesunjuego
[6] catalunya
[4] higienejcyl
[2] distancia
[2] universidad
[2] covid_19

Top Hashtags in Tweet in G3:
[122] covid19
[46] coronavirus
[23] outbreak
[15] covid
[14] wearamask
[12] cdc
[12] sarscov2
[12] yourvoicematters
[12] bigvotes
[12] yourvoteyourvoice

Top Hashtags in Tweet in G4:
[220] covid19
[88] covidview
[82] wearamask
[11] covid
[10] coronavirususa
[8] halloween
[5] dyk
[4] publichealth
[4] staysafe
[3] occovid19

Top Hashtags in Tweet in G5:
[228] covid19
[121] wearamask
[10] selfcare
[5] slowthespread
[5] covidview
[2] prepyourhealth
[2] mentalhealth
[2] worldmentalhealthday
[2] healthy
[2] mask

Top Hashtags in Tweet in G6:
[234] covid19
[85] coronavirus
[85] covid19france
[85] covid_19

Top Hashtags in Tweet in G7:
[11] ejércitobolivarianobicentenario
[11] fanb
[3] coronavirus
[1] fórmulaperfectaplan7más7
[1] sputnikvllegaavenezuela
[1] poramorachávez
[1] venezuelarespaldaleyantibloqueo
[1] puebloenresistenciaantiimperialista
[1] tiempodeelegir
[1] impulsamoslasoberaníaalimentaria

Top Hashtags in Tweet in G8:
[2] covid19
[1] covid__19
[1] cdc
[1] presidenttrump
[1] maga2020landslidevictory
[1] coronavirus
[1] trumpcovid19
[1] trump2020
[1] trump
[1] trumpvirus

Top Hashtags in Tweet in G9:
[47] covid19
[32] wearamask
[23] coronavirus
[23] 2019ncov
[2] covidview
[2] dyk
[1] covidstopswithme
[1] cdc
[1] plandemia

Top Hashtags in Tweet in G10:
[191] 新型コロナウイルス
[64] いばらきアマビエちゃん

Top Words
Top Words in Tweet in Entire Graph:
[2012] #covid19
[1699] covid
[1566] 19
[1093] cdc
[945] ncov
[900] 2019
[843] casos
[730] mesures
[673] noves
[624] catalunya

Top Words in Tweet in G1:
[592] mesures
[587] salutcat
[569] noves
[559] casos
[548] catalunya
[544] aturar
[539] 19
[535] increment
[534] més
[534] covid

Top Words in Tweet in G2:
[516] saludpublicaes
[513] #covid19
[329] sanidadgob
[326] manos
[220] limpia
[216] lávate
[214] llegar
[214] casa
[213] zapatos
[213] cerca

Top Words in Tweet in G3:
[235] covid
[226] 19
[156] ncov
[141] cdc
[132] 2019
[122] #covid19
[80] total
[71] coronavirus
[68] 10
[61] virus

Top Words in Tweet in G4:
[412] cdcgov
[220] #covid19
[192] more
[154] covid
[151] 19
[128] contact
[110] cdc
[108] spread
[105] help
[100] mask

Top Words in Tweet in G5:
[236] spread
[228] #covid19
[150] help
[139] mask
[125] slow
[121] #wearamask
[110] hhsgov
[104] cdcemergency
[85] mouth
[84] sure

Top Words in Tweet in G6:
[237] décès
[237] 13
[234] #covid19
[234] espagne
[231] vague
[155] 10
[149] chiffres
[149] actualisés
[149] 14
[149] prédictions

Top Words in Tweet in G7:
[241] ncov
[240] 2019
[238] coronavirus
[235] recomendaciones
[235] población
[235] acerca
[235] organización
[235] mundial
[235] salud
[224] somos_ejercito

Top Words in Tweet in G8:
[39] realdonaldtrump
[21] cdc
[10] years
[9] people
[7] masks
[6] coronavirus
[6] covid
[5] actually
[5] test
[5] use

Top Words in Tweet in G9:
[124] cdc
[72] help
[61] cdcdirector
[47] #covid19
[45] maferba6
[40] 19
[39] spread
[39] mask
[39] covid
[38] aislado

Top Words in Tweet in G10:
[191] #新型コロナウイルス
[191] 感染症情報
[191] また
[188] ibaraki_kouhou
[74] 10月14日
[74] 県内で新たに5名が同感染症に感染していることが判明しました
[74] 同感染症患者で
[74] 県内の医療機関に入院されていた方が1名
[74] お亡くなりになりました
[74] なお

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1425] covid,19
[787] 2019,ncov
[669] noves,mesures
[602] increment,casos
[589] mesures,aturar
[587] aturar,increment
[583] casos,covid
[571] 19,catalunya
[555] canal,salut
[544] més,info

Top Word Pairs in Tweet in G1:
[565] noves,mesures
[535] increment,casos
[534] mesures,aturar
[534] covid,19
[530] aturar,increment
[527] 19,catalunya
[526] casos,covid
[512] més,info
[507] catalunya,més
[506] canal,salut

Top Word Pairs in Tweet in G2:
[216] lávate,manos
[214] llegar,casa
[212] cerca,puerta
[212] limpia,objetos
[212] objetos,hayas
[212] hayas,usado
[212] usado,fuera
[211] casa,zapatos
[211] zapatos,mejor
[211] mejor,cerca

Top Word Pairs in Tweet in G3:
[208] covid,19
[107] 2019,ncov
[33] virus,isolates
[33] isolates,2019
[32] quantified,virus
[32] 2020,10
[31] ncov,currently
[29] currently,available
[29] coronavirus,covid
[29] #coronavirus,#covid19

Top Word Pairs in Tweet in G4:
[148] covid,19
[90] slow,spread
[88] #covidview,report
[88] report,shows
[87] racial,ethnic
[87] latest,cdc
[87] cdc,#covidview
[86] shows,racial
[86] ethnic,minorities
[86] minorities,continue

Top Word Pairs in Tweet in G5:
[125] slow,spread
[116] help,slow
[87] spread,#covid19
[75] covid,19
[75] #covid19,spread
[75] spread,people
[75] people,symptoms
[75] symptoms,know
[75] know,infected
[75] infected,masks

Top Word Pairs in Tweet in G6:
[152] 13,10
[149] #covid19,espagne
[149] espagne,décès
[149] décès,chiffres
[149] chiffres,actualisés
[149] actualisés,13
[149] 10,14
[149] 14,prédictions
[149] prédictions,d'une
[149] d'une,seconde

Top Word Pairs in Tweet in G7:
[240] 2019,ncov
[236] coronavirus,2019
[235] recomendaciones,población
[235] población,acerca
[235] acerca,coronavirus
[235] ncov,organización
[235] organización,mundial
[235] mundial,salud
[224] somos_ejercito,recomendaciones
[18] salud,cóm

Top Word Pairs in Tweet in G8:
[5] realdonaldtrump,cdc
[4] realdonaldtrump,breitbartnews
[4] breitbartnews,donald
[4] donald,trump
[4] trump,testing
[4] testing,negative
[4] negative,coronavirus
[4] coronavirus,using
[4] using,antigen
[4] antigen,test

Top Word Pairs in Tweet in G9:
[39] covid,19
[38] help,slow
[38] slow,spread
[35] aún,aislado
[35] spread,covid
[30] #wearamask,public
[30] public,help
[30] 19,sure
[30] sure,wear
[30] wear,right

Top Word Pairs in Tweet in G10:
[191] #新型コロナウイルス,感染症情報
[188] ibaraki_kouhou,#新型コロナウイルス
[74] 感染症情報,10月14日
[74] 10月14日,県内で新たに5名が同感染症に感染していることが判明しました
[74] 県内で新たに5名が同感染症に感染していることが判明しました,また
[74] また,同感染症患者で
[74] 同感染症患者で,県内の医療機関に入院されていた方が1名
[74] 県内の医療機関に入院されていた方が1名,お亡くなりになりました
[74] お亡くなりになりました,なお
[74] なお,退院等回復された方は10名です

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@cdcgov
@profesorprymula
@ianfmusgrave
@cnn
@pmarsupia
@gisaid
@z_mutoh
@ddale8
@rob_miller12345

Top Replied-To in G1:
@harvestmath

Top Replied-To in G2:
@carlosjdepedro
@asocsqm
@xavier_colomes

Top Replied-To in G3:

Top Replied-To in G4:
@cdcgov
@stormphoenix2
@mkber5
@blueskygrannie
@mikemcdermott76
@gbhnews
@live2__inspire
@jj_feds
@keyportschools
@toryfedel

Top Replied-To in G5:
@sethabramson
@readyharris
@cdcemergency
@tinoladobo

Top Replied-To in G7:
@whowpro
@lawrencegostin
@calalocci

Top Replied-To in G8:
@realdonaldtrump
@tanyast57707154
@booboobunster
@danleahy71
@tuna_40
@dabamrak
@bongomerkage
@cnn
@ssec0nd
@mkittums

Top Replied-To in G9:
@angelcabrera38_
@maferba6
@pablofuente
@claressergio
@jljcolorado
@no__plandemia

Top Replied-To in G10:
@z_mutoh

Top Mentioned
Top Mentioned in Entire Graph:
@salutcat
@saludpublicaes
@cdcgov
@sanidadgob
@somos_ejercito
@ibaraki_kouhou
@gencat
@aragon_jb
@ministeriosalud
@hhsgov

Top Mentioned in G1:
@salutcat
@gencat
@icscat
@educaciocat
@mossos
@saludpublicaes
@ajroquetes
@icsebre
@aferssocialscat
@hospitalsantpau

Top Mentioned in G2:
@saludpublicaes
@sanidadgob
@mireiasansc
@appradarcovid
@fiquipedia
@salutcat
@collogopedascv
@prevencionjcyl
@ivmaroto_nacho
@sanidad

Top Mentioned in G3:
@itilaurent1
@gati53226100
@cristinadobre
@readatidbit
@aureliobelandom
@schaechterle
@tameelirshadage
@fascientists
@adam_jensen21

Top Mentioned in G4:
@cdcgov
@clarkcountynv
@w7voa
@drcadesky
@ochealth
@adhpio
@naesp
@cuyahogacounty
@ticketpod
@alamedacounty

Top Mentioned in G5:
@hhsgov
@cdcemergency
@surgeon_general
@cdcgov
@hhs_ash
@medicaregov
@hcphtx
@cdcespanol
@aslavitt

Top Mentioned in G6:
@aragon_jb
@biobiobiobior
@dopey_72f
@smackenziekerr

Top Mentioned in G7:
@somos_ejercito
@who
@whosearo
@who_europe
@pahowho
@whoemro
@whoafro
@whowpro
@pekkaroininen
@jussikarki

Top Mentioned in G8:
@realdonaldtrump
@ryanafournier
@icecube
@breitbartnews
@cspan
@donalds_uncle
@drewsenske
@robbystarbuck
@oann
@newsmax

Top Mentioned in G9:
@cdcdirector
@maferba6
@no__plandemia
@progreazote
@cdcgov
@ecdc_eu
@pablofuente
@lematelot49
@jljcolorado
@isabelleory

Top Mentioned in G10:
@ibaraki_kouhou
@mutoh_z
@z_mutoh

Top Tweeters
Top Tweeters in Entire Graph:
@victormanuelje1
@sectest9
@this_vid
@amr_shin
@marcodacostafx
@threadreaderapp
@robre62
@tinamarie_80s
@lopezgovlaw
@littlebytesnews

Top Tweeters in G1:
@wittgenstein_jm
@esquitx17
@smujal
@pili_stage
@miquel303marti
@esterrubio2
@nil_cat1
@splth32
@sylvilg
@treballadors

Top Tweeters in G2:
@victormanuelje1
@marcodacostafx
@goyotocho64
@ibmlahamad
@mariaperezpere
@obdriftwood
@noe_urdangaray
@sylar_71
@meme_montero
@937908mcm

Top Tweeters in G3:
@blkgospelradio
@mwforhr
@didaclopez
@aureliobelandom
@filumestre
@jp_kenchan_dayo
@haolethai
@bell_boyd
@kokikokiya
@colbenjamin

Top Tweeters in G4:
@muzikscribe
@mapocoloco
@utzaake
@wadakashiho
@bmlewis2
@corofthesun
@msjbe20a
@kimpy123
@homefronthugs
@all435reps

Top Tweeters in G5:
@littlebytesnews
@loyalfan1
@jayoung1892
@rebellegrrl
@1feralkat
@dialogician
@bobbymckinley33
@saludhealthinfo
@anonomouse1981
@belladawn01527

Top Tweeters in G6:
@languillem
@altai_armande
@votezpoisson
@lagrosta
@lenine13
@arjpascal
@jairaison
@lau68951920
@erayeye
@clobala2

Top Tweeters in G7:
@crispulorb
@sanchezbrujito
@mire_vie
@miguel_soublett
@melicarola18
@cirmilapure
@who
@adaimararmas
@mariane52485539
@rafaelhernan34

Top Tweeters in G8:
@friendlyjmc
@rolandsmartin
@htheike77
@nfl
@bpolitics
@horsesrlove22
@lowrad57
@novelstime
@abc13news
@merlote777

Top Tweeters in G9:
@she534
@omentando
@lematelot49
@conchi_gonzalez
@susanarobles4
@grafelitas
@smithblindlib5
@davidnapodavid
@sandymmv
@eddymacckk

Top Tweeters in G10:
@mutoh_z
@noel_hasui
@sgr_kn
@yamano__88
@akeykomichan721
@suzudas
@kaichan220710
@6gp78cpqsjtey3c
@himei_opera
@yoshida10t