NCoV, Twitter, 7/31/2020 9:17:27 AM, 231474


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NCoV_2020-07-31_01-36-01.xlsx
NCoV_2020-07-31_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 31, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2X8z6dN
@cdcgov
@atomskssanakan
@justin_hart
@pmarsupia
@jcperales
@sanidadgob
@rasavi_75
@who
@john_jxw
@realdonaldtrump

Top hashtags:
#covid19
#新型コロナウイルス
#coronavirus
#sarscov2
#slowthespread
#dyk
#covid
#hcq
#opendata
#covidsafe

Description:
Description
The graph represents a network of 5,769 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, 31 July 2020 at 08:46 UTC.

The requested start date was Friday, 31 July 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, 16-hour, 24-minute period from Tuesday, 28 July 2020 at 20:02 UTC to Thursday, 30 July 2020 at 12:27 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 : 5769
Unique Edges : 3509
Edges With Duplicates : 7860
Total Edges : 11369
Number of Edge Types : 5
Mentions : 1441
Retweet : 3344
MentionsInRetweet : 4804
Tweet : 1114
Replies to : 666
Self-Loops : 1134
Reciprocated Vertex Pair Ratio : 0.00562881955612737
Reciprocated Edge Ratio : 0.011194626579242
Connected Components : 1029
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 2246
Maximum Edges in a Connected Component : 6091
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.01596
Graph Density : 0.000187915514771307
Modularity : 0.555475
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,769 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, 31 July 2020 at 08:46 UTC.

The requested start date was Friday, 31 July 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, 16-hour, 24-minute period from Tuesday, 28 July 2020 at 20:02 UTC to Thursday, 30 July 2020 at 12:27 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:
[129] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[87] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti16.html
[80] https://www.city.edogawa.tokyo.jp/e004/bosaianzen/covid-19/taiou/index.html#kangae
[60] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[55] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[43] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[42] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_173_COVID-19.pdf
[41] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[37] https://nextstrain.org/ncov
[36] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top URLs in Tweet in G1:
[16] https://www.cdc.gov/coronavirus/2019-ncov/travelers/travel-in-the-us.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/deciding-to-go-out.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/food-and-COVID-19.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G2:
[11] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[11] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://apps.who.int/iris/bitstream/handle/10665/332657/WHO-2019-nCov-IPC_Masks-2020.4-spa.pdf
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/prepare-safe-return.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html

Top URLs in Tweet in G3:
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/200720_kaiken.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/

Top URLs in Tweet in G4:
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_173_COVID-19.pdf
[1] https://salutweb.gencat.cat/ca/actualitat/noticies/nota-premsa/?id=387635

Top URLs in Tweet in G5:
[32] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_173_COVID-19.pdf
[11] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_172_COVID-19.pdf
[7] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_alcohol.pdf
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_171_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_Recomedaciones_cronicos_nueva_normalidad.pdf
[1] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/telefonos.htm
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/recomendacionesAperturaPiscinas.pdf
[1] https://www.lamoncloa.gob.es/serviciosdeprensa/notasprensa/sanidad14/Documents/2020/240520-recomendaciones.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/img/COVID19_Rec_Consumo-tabaco.JPG

Top URLs in Tweet in G6:
[11] 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
[7] https://apps.who.int/iris/bitstream/handle/10665/332657/WHO-2019-nCov-IPC_Masks-2020.4-spa.pdf
[4] https://www.who.int/publications/i/item/WHO-2019-nCoV-neglected-tropical-diseases-2020-1
[3] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Policy_Brief-Long-term_Care-2020.1
[3] https://www.who.int/publications/i/item/WHO-2019-nCoV-Policy_Brief-Long-term_Care-2020.1
[2] https://www.who.int/es/emergencies/diseases/novel-coronavirus-2019/advice-for-public/when-and-how-to-use-masks
[1] 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://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/community/CDC-Strategy.pdf?utm_source=twitter&utm_medium=pm_alberti&utm_content=0ab1cd51-1f84-4e79-a878-cc5a25a7df8d

Top URLs in Tweet in G7:
[11] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://twitter.com/labrat341/status/1288530881418792962
[1] https://twitter.com/KarynJansen/status/1288243884913561600
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_170_COVID-19.pdf

Top URLs in Tweet in G8:
[7] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[6] https://www.bitchute.com/video/09K3kIwzeewO/
[6] https://www.foxnews.com/media/hydroxychloroquine-could-save-lives-ingraham-yale-professor
[6] https://www.dailywire.com/news/cdc-sides-with-trump-says-students-need-to-go-back-to-school
[6] https://c19study.com/
[4] https://www.cdc.gov/coronavirus/2019-ncov/downloads/genomic-characterization-of-2019-nCoV-Lancet-1-29-2020.pdf?fbclid=IwAR2Zydm-5uJubUXzbVFmwfh3ZQuWd7BniTR31Yukku64-daudp3tob0TjBk
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[4] https://www.centerforhealthsecurity.org/resources/COVID-19/COVID-19-fact-sheets/200128-nCoV-whitepaper.pdf
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256558/pdf/main.pdf

Top URLs in Tweet in G9:
[1] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea

Top URLs in Tweet in G10:
[81] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti16.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1170] cdc.gov
[142] lg.jp
[136] who.int
[113] gob.es
[95] tokyo.jp
[78] twitter.com
[78] recombinomics.co
[62] go.jp
[58] europa.eu
[49] nextstrain.org

Top Domains in Tweet in G1:
[239] cdc.gov
[7] twitter.com
[6] bit.ly
[3] usa.gov
[1] paper.li
[1] solidcare.com
[1] cms.gov
[1] tn.gov
[1] fal.cn
[1] nih.gov

Top Domains in Tweet in G2:
[237] cdc.gov
[23] who.int
[15] europa.eu
[14] vnexpress.net
[14] twitter.com
[14] go.jp
[13] ibaraki.jp
[11] gdvn.net
[10] lg.jp
[9] nytimes.com

Top Domains in Tweet in G3:
[15] ibaraki.jp
[1] lg.jp

Top Domains in Tweet in G4:
[1] gob.es
[1] gencat.cat

Top Domains in Tweet in G5:
[67] gob.es

Top Domains in Tweet in G6:
[37] who.int
[5] cdc.gov
[1] linkedin.com
[1] twitter.com

Top Domains in Tweet in G7:
[17] cdc.gov
[2] twitter.com
[1] gob.es

Top Domains in Tweet in G8:
[41] cdc.gov
[8] nih.gov
[6] bitchute.com
[6] foxnews.com
[6] dailywire.com
[6] c19study.com
[4] twitter.com
[4] centerforhealthsecurity.org
[2] jhu.edu
[1] issuesinsights.com

Top Domains in Tweet in G9:
[1] europa.eu

Top Domains in Tweet in G10:
[81] lg.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1425] covid19
[210] 新型コロナウイルス
[176] coronavirus
[57] sarscov2
[44] slowthespread
[39] dyk
[39] covid
[38] hcq
[37] opendata
[30] covidsafe



Top Hashtags in Tweet in G1:
[794] covid19
[39] dyk
[31] slowthespread
[14] physicaldistancing
[9] covid
[8] covidview
[6] faq
[6] heat
[6] summer
[6] coronavirus

Top Hashtags in Tweet in G2:
[55] covid19
[22] coronavirus
[7] covid
[6] 新型コロナウイルス
[6] ncov
[5] wearamask
[5] trustedcovidinfo
[4] racial
[4] minority
[4] covidー19

Top Hashtags in Tweet in G3:
[197] 新型コロナウイルス
[15] いばらきアマビエちゃん
[4] 守谷市新型コロナウイルス関連情報
[4] 茨城県
[4] 守谷市在住
[4] 守谷市

Top Hashtags in Tweet in G5:
[176] covid19
[49] coronavirus
[14] nolotiresporlaborda
[1] virucidas

Top Hashtags in Tweet in G6:
[31] covid19
[6] beatntds
[3] caregivers
[2] coronavirus
[2] longtermcare
[1] wuhan
[1] china
[1] healthequity
[1] medtwitter
[1] ltss

Top Hashtags in Tweet in G8:
[5] hydroxichloroquine
[2] coronavirus
[2] wuhan
[1] chinaflag
[1] airforceone
[1] covid_19
[1] biologicalweapon
[1] ncov
[1] covid19

Top Hashtags in Tweet in G10:
[1] 新型コロナウイルス

Top Words
Top Words in Tweet in Entire Graph:
[1425] #covid19
[884] covid
[878] face
[718] 19
[700] cdcgov
[674] help
[651] cdc
[562] spread
[497] ncov
[466] cloth

Top Words in Tweet in G1:
[794] #covid19
[732] face
[662] cdcgov
[550] help
[430] spread
[407] cloth
[385] wear
[334] prevent
[323] public
[295] coverings

Top Words in Tweet in G2:
[155] ncov
[136] covid
[133] 19
[69] cdc
[69] 2019
[63] coronavirus
[55] #covid19
[47] face
[47] spread
[40] help

Top Words in Tweet in G3:
[203] 詳しくは
[200] 本日
[198] ibaraki_kouhou
[197] #新型コロナウイルス
[197] 感染症情報
[197] 県ホームページでご確認ください
[183] 7月29日
[183] 県内で新たに7名の新型コロナウイルス感染症患者が確認されました
[183] これまで県内で感染が確認された人は266名となります
[182] #いばらきアマビ

Top Words in Tweet in G4:
[384] cataluña
[384] muerto
[193] personas
[193] última
[193] semana
[193] boletín
[192] ministerio
[192] 38
[191] pmarsupia

Top Words in Tweet in G5:
[176] #covid19
[125] sanidadgob
[77] síntomas
[77] españa
[76] datos
[75] habitación
[74] convivientes
[73] tienes
[73] debes
[73] separarte

Top Words in Tweet in G6:
[122] human
[63] evidence
[63] authorities
[61] preliminary
[61] investigations
[61] conducted
[61] chinese
[61] found
[61] clear
[61] transmission

Top Words in Tweet in G7:
[158] cdc
[153] testing
[150] kylamb8
[111] kerpen
[106] truth
[106] justin_hart
[106] alexberenson
[105] recognizes
[105] aginnt
[105] jordanschachtel

Top Words in Tweet in G8:
[26] realdonaldtrump
[18] cdc
[15] sars
[12] jakesherman
[10] coronavirus
[9] guidelines
[9] covid
[9] chloroquine
[9] nih
[9] cov

Top Words in Tweet in G9:
[96] spain
[96] unfair
[96] slap
[96] nationwide
[96] quarantine
[96] country
[96] regional
[96] variations
[95] pickardje

Top Words in Tweet in G10:
[81] 千葉県hpより
[81] という事なので大変心苦しいですが
[81] 今後
[81] 団体様はお断り致します
[81] お1人さまでご来店ください
[81] 宜敷くお願い致します
[80] matsudojiro3

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[587] covid,19
[462] cloth,face
[402] spread,#covid19
[388] cataluña,muerto
[358] prevent,spread
[340] help,prevent
[339] face,coverings
[323] wear,face
[276] coverings,help
[276] public,settings

Top Word Pairs in Tweet in G1:
[406] cloth,face
[366] spread,#covid19
[330] prevent,spread
[307] help,prevent
[295] face,coverings
[295] wear,face
[262] coverings,help
[260] public,settings
[257] cdcgov,cloth
[257] #covid19,widely

Top Word Pairs in Tweet in G2:
[120] covid,19
[55] 2019,ncov
[25] nhiễm,ncov
[17] learn,more
[16] coronavirus,2019
[16] wear,face
[15] đà,nẵng
[13] cloth,face
[12] social,distancing
[12] spread,easily

Top Word Pairs in Tweet in G3:
[197] #新型コロナウイルス,感染症情報
[197] 詳しくは,県ホームページでご確認ください
[195] ibaraki_kouhou,#新型コロナウイルス
[183] 感染症情報,7月29日
[183] 7月29日,本日
[183] 本日,県内で新たに7名の新型コロナウイルス感染症患者が確認されました
[183] 県内で新たに7名の新型コロナウイルス感染症患者が確認されました,これまで県内で感染が確認された人は266名となります
[183] これまで県内で感染が確認された人は266名となります,詳しくは
[182] 県ホームページでご確認ください,#いばらきアマビ
[15] 県ホームページでご確認ください,#いばらきアマビエちゃん

Top Word Pairs in Tweet in G4:
[384] cataluña,muerto
[193] personas,última
[193] última,semana
[193] semana,boletín
[192] muerto,personas
[192] boletín,ministerio
[192] ministerio,cataluña
[192] muerto,38
[191] pmarsupia,cataluña

Top Word Pairs in Tweet in G5:
[77] síntomas,#covid19
[76] datos,#covid19
[76] #covid19,españa
[73] tienes,síntomas
[73] #covid19,debes
[73] debes,separarte
[73] separarte,resto
[73] resto,familia
[73] familia,convivientes
[73] convivientes,habitación

Top Word Pairs in Tweet in G6:
[61] preliminary,investigations
[61] investigations,conducted
[61] conducted,chinese
[61] chinese,authorities
[61] authorities,found
[61] found,clear
[61] clear,evidence
[61] evidence,human
[61] human,human
[61] human,transmission

Top Word Pairs in Tweet in G7:
[150] kylamb8,cdc
[105] cdc,recognizes
[105] recognizes,truth
[105] truth,testing
[105] testing,justin_hart
[105] justin_hart,aginnt
[105] aginnt,kerpen
[105] kerpen,jordanschachtel
[105] jordanschachtel,alexberenson
[105] alexberenson,rmconservative

Top Word Pairs in Tweet in G8:
[9] sars,cov
[7] covid,19
[6] 2019,ncov
[6] realdonaldtrump,dbongino
[6] dclemdeborah,wardqnormal
[6] wardqnormal,jakesherman
[5] nih,22
[5] 22,2005
[5] 2005,chloroquine
[5] chloroquine,potent

Top Word Pairs in Tweet in G9:
[96] spain,unfair
[96] unfair,slap
[96] slap,nationwide
[96] nationwide,quarantine
[96] quarantine,country
[96] country,regional
[96] regional,variations
[95] pickardje,spain

Top Word Pairs in Tweet in G10:
[81] 千葉県hpより,という事なので大変心苦しいですが
[81] という事なので大変心苦しいですが,今後
[81] 今後,団体様はお断り致します
[81] 団体様はお断り致します,お1人さまでご来店ください
[81] お1人さまでご来店ください,宜敷くお願い致します
[80] matsudojiro3,千葉県hpより

Top Replied-To
Top Replied-To in Entire Graph:
@kdeeswenson
@cdcgov
@peter_fitz
@hlomladandala
@hlgatell
@gisaid
@gavinnewsom
@captkink
@covidsensebloke
@judgeclayj

Top Replied-To in G1:
@cdcgov
@wptv
@jdominguezphoto
@jdhaltigan
@edicionmedec
@pichinchauniver
@hhsregion3
@the_cling_on
@gluonspring
@flanagamer

Top Replied-To in G2:
@peletechcorp

Top Replied-To in G6:
@hlgatell
@who
@ericajoy
@eunissegutirre1
@donporfifirio
@lic_sirlancelot
@tlacuilo5207
@un4ageing
@santosfdz
@elfinancierotv

Top Replied-To in G7:
@katisnotakat
@kylamb8
@bnightengale
@kerpen
@djahn66
@covid_clarity
@covidsensebloke

Top Replied-To in G8:
@dclemdeborah
@replouiegohmert
@drdavidsamadi
@egeert
@kerpen
@govwhitmer
@jsolomonreports
@dhoff822
@jokrberry1016
@gbrandonc

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@ibaraki_kouhou
@pmarsupia
@kylamb8
@cdcemergency
@sanidadgob
@kerpen
@justin_hart
@alexberenson
@aginnt

Top Mentioned in G1:
@cdcgov
@cdcemergency
@cdcdirector
@cdctravel
@surgeon_general
@amermedicalassn
@niosh
@vdhgov
@cdcespanol
@repescobar

Top Mentioned in G2:
@doctorfauci
@coronavirush24
@rp_bcm
@kimberly_joc
@support_dem

Top Mentioned in G3:
@ibaraki_kouhou
@moriya_citypro
@hoshidakoji
@keychan13683388

Top Mentioned in G4:
@pmarsupia

Top Mentioned in G5:
@sanidadgob
@saludpublicaes
@pnsdgob
@abbvie_es
@pmarsupia

Top Mentioned in G6:
@who
@drtedros
@wh
@hlgatell
@randomsalt
@cdcgov
@drdummes
@lic_sirlancelot
@ltccovid
@feinberglynn

Top Mentioned in G7:
@kylamb8
@kerpen
@justin_hart
@alexberenson
@aginnt
@jordanschachtel
@rmconservative
@a
@labrat341
@scoggydoogan

Top Mentioned in G8:
@realdonaldtrump
@jakesherman
@stella_immanuel
@replouiegohmert
@dbongino
@wardqnormal
@cdcgov
@presssec
@mooseteam2
@bjornejohnson77

Top Mentioned in G9:
@pickardje

Top Mentioned in G10:
@matsudojiro3
@ibaraki_kouhou

Top Tweeters
Top Tweeters in Entire Graph:
@lopezgovlaw
@klm
@independent
@housecracka
@phillip92321
@inspiteoftrump
@nilimajumder
@citrus_kyoto
@silvi_ta
@padakitty

Top Tweeters in G1:
@padakitty
@hirameki_002
@its_coachbakari
@solusnan1
@morgfair
@russmove
@lorettabower3
@tzdiscovery
@granny_st
@wildeoscarcat

Top Tweeters in G2:
@toicitiesnews
@mbvukutaphiri
@yoshiki7111
@support_dem
@tres444
@didaclopez
@oobaakiru
@8000yo
@aureliobelandom
@crwriter1

Top Tweeters in G3:
@noel_hasui
@zyoushou
@_maho_
@sgr_kn
@dummyxtweet
@ryuuku330
@kazubachev
@glasses_meru
@yamano__88
@beer_prius

Top Tweeters in G4:
@silvi_ta
@soniabouzas
@kaluapiscis
@recomtogadaraya
@talianieto
@sebasfc
@godivaciones
@vmesteban
@droblopuntoes
@tanit00

Top Tweeters in G5:
@javierlopez86vk
@nusagatero
@antoniobb1953
@meme_montero
@lilloteresa
@937908mcm
@demiurgotuiter
@kiliancd
@maketolari
@brujinma

Top Tweeters in G6:
@mitchiepoo46
@ferbelaunzaran
@amyslayer
@unocelestial
@castor_max0
@realdebfarmer
@ryodedios
@serphillipsbob
@rogueslaygal
@ohlistic

Top Tweeters in G7:
@schwingcat
@cgduck5
@susan_borts
@topkubob
@jslate__
@treehuggingsis
@texgalleslie
@ksouth21
@afashionfan
@kerpen

Top Tweeters in G8:
@washingtonpost
@travelbug1955
@feinberg_linda
@maggienyt
@rralstonagile
@jaketapper
@peachisyummy
@sandyleevincent
@dclemdeborah
@mitchellvii

Top Tweeters in G9:
@wagjuer
@tartanroots
@svencjohn_steve
@mikefealey
@jagxjr40
@piyakhanna
@mimij9
@sandbagger59
@north_joanna
@annawatton

Top Tweeters in G10:
@kiki_s0903
@binsira
@jilolyanya
@ezaki_qma
@shild_lapse
@garasuno
@exodus_solidus
@akakuro39
@keita198307
@manmanfairilu