NCoV, Twitter, 8/5/2020 11:10:14 AM, 231906


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NCoV_2020-08-05_01-36-01.xlsx
NCoV_2020-08-05_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 05, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2PsQN3A
@cdcgov
@cdcdirector
@viralvideovlogs
@sanidadgob
@saludpublicaes
@flutrackers
@realdonaldtrump
@richardursomd
@joefreedomlove
@manzanillamiel5

Top hashtags:
#covid19
#新型コロナウイルス
#coronavirus
#heat
#covidview
#foodsafety

Description:
Description
The graph represents a network of 7,803 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 Wednesday, 05 August 2020 at 08:49 UTC.

The requested start date was Wednesday, 05 August 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, 12-hour, 15-minute period from Sunday, 02 August 2020 at 00:11 UTC to Tuesday, 04 August 2020 at 12:26 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 7803
Unique Edges : 3179
Edges With Duplicates : 11727
Total Edges : 14906
Number of Edge Types : 5
Retweet : 5356
MentionsInRetweet : 5809
Replies to : 847
Mentions : 1507
Tweet : 1387
Self-Loops : 1430
Reciprocated Vertex Pair Ratio : 0.00425648771110806
Reciprocated Edge Ratio : 0.00847689362865737
Connected Components : 1200
Single-Vertex Connected Components : 472
Maximum Vertices in a Connected Component : 3376
Maximum Edges in a Connected Component : 7657
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.726591
Graph Density : 0.000120139937895832
Modularity : 0.496091
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,803 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 Wednesday, 05 August 2020 at 08:49 UTC.

The requested start date was Wednesday, 05 August 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, 12-hour, 15-minute period from Sunday, 02 August 2020 at 00:11 UTC to Tuesday, 04 August 2020 at 12:26 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : NCoV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[117] https://www.city.edogawa.tokyo.jp/e004/bosaianzen/covid-19/taiou/index.html#kangae
[112] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[77] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[65] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[59] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[59] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[54] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[39] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[37] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_176_COVID-19.pdf
[32] https://www.lci.fr/sante/coronavirus-covid-19-ncov-laisser-les-jeunes-se-contaminer-entre-eux-la-proposition-choc-du-professeur-caumes-2160736.html?utm_medium=Social&utm_source=Twitter#Echobox=1596347033

Top URLs in Tweet in G1:
[14] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/community/tribal/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/food-and-COVID-19.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/travelers/travel-in-the-us.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/parent-checklist.html

Top URLs in Tweet in G2:
[16] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[13] https://www.lci.fr/sante/coronavirus-covid-19-ncov-laisser-les-jeunes-se-contaminer-entre-eux-la-proposition-choc-du-professeur-caumes-2160736.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/stage23.html
[6] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[5] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Top URLs in Tweet in G3:
[17] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/stage23.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/200720_kaiken.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/0803_mito.pdf
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/0803_shimotsuma.pdf
[1] https://www.city.mito.lg.jp/001245/hokenjo/kansensyou/p022286.html
[1] https://www3.nhk.or.jp/news/html/20200804/k10012550401000.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/0803_inashiki.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/0803_kamisu.pdf

Top URLs in Tweet in G4:
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/deciding-to-go-out.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/index.html
[1] https://twitter.com/MaritsaNBCMT/status/1288480421982871553
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/using-transportation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/faq.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/lab/pooling-procedures.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/decision-tool.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/critical-workers/implementing-safety-practices.html

Top URLs in Tweet in G5:
[24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_176_COVID-19.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/img/20.03.24_AislamientoDomiciliario_COVID19.jpg
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Listado_virucidas.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/telefonos.htm
[2] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
[2] https://www.mscbs.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_176_COVID-19.pdf
[2] https://www.mscbs.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_175_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/030520_GUIA_COMPRA_MASCARILLAS.pdf

Top URLs in Tweet in G6:
[17] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/us-cases-deaths.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/index.html
[2] https://www.abc.net.au/chinese/2020-08-04/hundreds-of-volunteers-searched-for-missing-elderly/12522344?utm_medium=social&utm_content=sf236517310&utm_campaign=abc_chinese&utm_source=t.co&sf236517310=1
[2] https://www.rfi.fr/cn/%E4%B8%AD%E5%9B%BD/20200801-%E6%B3%95-%E4%B8%96%E7%95%8C%E6%8A%A5-%E4%B9%A0%E8%BF%91%E5%B9%B3%E5%AF%B9%E9%A6%99%E6%B8%AF%E7%9A%84%E5%BC%BA%E5%88%B6%E5%8A%9B%E5%BE%97%E4%B8%8D%E5%88%B0%E4%BB%BB%E4%BD%95%E6%83%A9%E7%BD%9A?ref=tw_i
[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/diy-cloth-face-coverings.html?utm_medium=email&utm_source=ET_16&utm_campaign=20200803_49297_cdc-face-mask-v2_donaldjtrump_djt&utm_content=gop_alert_text_info_bottom_other_all

Top URLs in Tweet in G7:
[3] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/food-and-COVID-19.html#nutrition
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.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/travelers/travel-in-the-us.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/index.html?platform=hootsuite
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/personal-social-activities.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/decision-tool.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/communication/toolkits/young-adults-15-to-21.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/deciding-to-go-out.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/stress-coping/abuse.html

Top URLs in Tweet in G8:
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-to-make-cloth-face-covering.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests-guidelines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Top URLs in Tweet in G9:
[14] https://www.state.nj.us/health/cd/documents/topics/NCOV/COVID_Confirmed_Case_Summary.pdf
[13] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/reopening-schools.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/about-us-cases-deaths.html
[1] https://www.tn.gov/health/cedep/ncov.html
[1] https://www.tn.gov/health/cedep/ncov/data/syndromic-surveillance.html
[1] https://www.tn.gov/health/cedep/ncov/data/hospitalization-data/hospital-capacity.html
[1] https://www.who.int/publications-detail-redirect/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

Top URLs in Tweet in G10:
[1] https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea

Top Domains
Top Domains in Tweet in Entire Graph:
[1290] cdc.gov
[135] tokyo.jp
[128] who.int
[123] recombinomics.co
[110] gob.es
[94] gov.au
[93] lci.fr
[75] twitter.com
[72] europa.eu
[70] lg.jp

Top Domains in Tweet in G1:
[233] cdc.gov
[5] twitter.com
[2] wiley.com
[2] uaex.edu
[1] acphd.org
[1] facebook.com
[1] bit.ly
[1] j.mp

Top Domains in Tweet in G2:
[246] cdc.gov
[27] twitter.com
[20] ibaraki.jp
[20] lci.fr
[18] vnexpress.net
[15] europa.eu
[14] gob.es
[10] who.int
[8] gov.au
[7] facebook.com

Top Domains in Tweet in G3:
[38] ibaraki.jp
[2] or.jp
[1] lg.jp

Top Domains in Tweet in G4:
[13] cdc.gov
[1] twitter.com

Top Domains in Tweet in G5:
[49] gob.es
[2] europa.eu
[1] gob.mx

Top Domains in Tweet in G6:
[56] cdc.gov
[6] europa.eu
[2] net.au
[2] rfi.fr
[1] dw.com
[1] nytimes.com
[1] twitter.com
[1] cnn.com
[1] washingtonpost.com
[1] gov.au

Top Domains in Tweet in G7:
[23] cdc.gov
[1] twitter.com

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

Top Domains in Tweet in G9:
[47] cdc.gov
[14] nj.us
[3] tn.gov
[2] gob.es
[1] who.int
[1] nextstrain.org
[1] twitter.com
[1] healthline.com

Top Domains in Tweet in G10:
[1] europa.eu

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2026] covid19
[468] 新型コロナウイルス
[202] coronavirus
[78] heat
[63] covidview
[61] foodsafety
[53] いばらきアマビエちゃん
[53] covid_19
[45] epidemia
[41] cdc



Top Hashtags in Tweet in G1:
[1026] covid19
[56] heat
[51] covidview
[30] foodsafety
[16] covid
[9] covid_19
[7] slowthespread
[7] backtoschool
[6] parents
[6] asthma

Top Hashtags in Tweet in G2:
[88] covid19
[27] coronavirus
[13] seniorcare
[12] ncov
[8] covid
[6] sarscov2
[5] cdc
[5] 新型コロナウイルス
[4] wearamask
[4] slowthespread

Top Hashtags in Tweet in G3:
[449] 新型コロナウイルス
[53] いばらきアマビエちゃん
[1] 潮来市
[1] 茨城県
[1] 新型コロナウイルス感染症

Top Hashtags in Tweet in G4:
[81] covid19
[10] heat
[4] covidview
[4] foodsafety
[1] faq
[1] covidstopswithme

Top Hashtags in Tweet in G5:
[218] covid19
[37] coronavirus
[10] nolotiresporlaborda
[6] mascarillas
[3] piscina
[3] playa
[2] higienejcyl
[2] documentosprl
[2] covid_19
[1] virucidas

Top Hashtags in Tweet in G6:
[2] trumpvirus
[2] covid19
[1] facemasks
[1] gojoe2020
[1] maga
[1] qanon
[1] coronavirus

Top Hashtags in Tweet in G7:
[122] covid19
[25] foodsafety
[5] covidview
[5] heat
[3] dyk
[2] faq
[1] food
[1] youractionssavelives
[1] maskup
[1] protectnm

Top Hashtags in Tweet in G8:
[8] covid19

Top Hashtags in Tweet in G9:
[3] covid19

Top Words
Top Words in Tweet in Entire Graph:
[2026] #covid19
[1379] cdcgov
[1221] covid
[999] 19
[978] cdc
[904] public
[900] face
[848] people
[847] wear
[810] ncov

Top Words in Tweet in G1:
[1216] cdcgov
[1026] #covid19
[583] people
[530] beach
[443] stay
[408] more
[403] learn
[381] away
[378] risk
[373] feet

Top Words in Tweet in G2:
[166] ncov
[151] covid
[137] 19
[99] cdc
[88] #covid19
[66] 2019
[57] risk
[47] coronavirus
[43] more
[42] deaths

Top Words in Tweet in G3:
[585] ibaraki_kouhou
[451] また
[449] #新型コロナウイルス
[449] 感染症情報
[449] 本日
[295] 同感染症患者6名が退院し
[292] 1名が自宅療養を終えました
[161] 新たに14名の新型コロナウイルス感染症患者が確認されました
[155] 1名が軽症者等宿泊療養施設を退所しました
[151] 8月2日

Top Words in Tweet in G4:
[414] cdcdirector
[401] face
[390] public
[385] wear
[381] mask
[381] masks
[380] re
[380] one
[380] powerful
[380] weapons

Top Words in Tweet in G5:
[218] #covid19
[189] asociados
[139] sanidadgob
[135] saludpublicaes
[104] síntomas
[99] alguien
[98] casos
[98] tenido
[98] contacto
[98] estrecho

Top Words in Tweet in G6:
[60] realdonaldtrump
[14] deaths
[11] cdc
[11] covid
[11] ncov
[9] cases
[9] people
[8] total
[8] 19
[8] 2019

Top Words in Tweet in G7:
[179] mask
[158] cdcemergency
[122] #covid19
[103] wear
[103] public
[103] stay
[98] feet
[89] use
[88] wondering
[87] setting

Top Words in Tweet in G8:
[155] ilindelatorremd
[149] personas
[149] covid
[149] 19
[149] leve
[149] moderado
[149] permanecen
[149] infecciosas
[149] 10
[149] días

Top Words in Tweet in G9:
[51] cdc
[30] anti
[29] kerpen
[14] jersey
[14] age
[14] stratification
[14] august
[11] take
[10] covid
[10] data

Top Words in Tweet in G10:
[124] és
[124] fan
[124] més
[124] proves
[124] casos
[124] s'hi
[123] cert
[123] ara
[123] març
[123] part

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[845] covid,19
[533] wear,mask
[514] learn,more
[449] #新型コロナウイルス,感染症情報
[443] ibaraki_kouhou,#新型コロナウイルス
[442] face,masks
[396] fight,against
[395] mask,re
[395] masks,one
[393] one,powerful

Top Word Pairs in Tweet in G1:
[379] learn,more
[278] risk,#covid19
[276] tested,positive
[269] positive,#covid19
[268] stay,home
[267] #covid19,symptoms
[267] symptoms,stay
[267] home,away
[267] away,people
[267] people,learn

Top Word Pairs in Tweet in G2:
[128] covid,19
[54] 2019,ncov
[21] nhiễm,ncov
[21] learn,more
[19] sars,cov
[16] risk,severe
[16] severe,illness
[14] highest,risk
[14] illness,covid
[14] age,older

Top Word Pairs in Tweet in G3:
[449] #新型コロナウイルス,感染症情報
[443] ibaraki_kouhou,#新型コロナウイルス
[295] また,同感染症患者6名が退院し
[292] 同感染症患者6名が退院し,1名が自宅療養を終えました
[161] 本日,新たに14名の新型コロナウイルス感染症患者が確認されました
[151] 感染症情報,8月2日
[151] 8月2日,本日
[151] 新たに14名の新型コロナウイルス感染症患者が確認されました,県内で感染が確認された人は322名となります
[151] 県内で感染が確認された人は322名となります,また
[150] 1名が自宅療養を終えました,#いばらきア

Top Word Pairs in Tweet in G4:
[380] mask,re
[380] face,masks
[380] masks,one
[380] one,powerful
[380] powerful,weapons
[380] weapons,fight
[380] fight,against
[374] re,public
[373] wear,mask
[373] public,face

Top Word Pairs in Tweet in G5:
[100] síntomas,#covid19
[98] tenido,contacto
[98] contacto,estrecho
[98] estrecho,alguien
[98] alguien,síntomas
[98] fiebre,tos
[98] tos,dificultad
[93] fernando,simón
[93] simón,brotes
[93] brotes,mayor

Top Word Pairs in Tweet in G6:
[8] covid,19
[7] 2019,ncov
[3] august,2020
[3] total,cases
[3] total,deaths
[3] deaths,154
[3] realdonaldtrump,cdc
[3] tahkiblanco,davidwohl
[3] davidwohl,realdonaldtrump
[3] realdonaldtrump,whitehouse

Top Word Pairs in Tweet in G7:
[91] wear,mask
[87] stay,feet
[86] wondering,use
[86] use,mask
[86] mask,wear
[86] mask,public
[86] public,setting
[86] setting,especially
[86] especially,difficult
[86] difficult,stay

Top Word Pairs in Tweet in G8:
[149] personas,covid
[149] covid,19
[149] 19,leve
[149] leve,moderado
[149] moderado,permanecen
[149] permanecen,infecciosas
[149] infecciosas,10
[149] 10,días
[149] días,inicio
[149] inicio,síntomas

Top Word Pairs in Tweet in G9:
[14] jersey,age
[14] age,stratification
[14] stratification,august
[13] kerpen,jersey
[10] yes,course
[10] course,anti
[10] anti,school
[10] school,advocacy
[10] advocacy,anti
[10] anti,child

Top Word Pairs in Tweet in G10:
[124] fan,més
[124] més,proves
[123] és,cert
[123] cert,ara
[123] ara,fan
[123] proves,març
[123] març,part
[123] part,l'augment
[123] l'augment,dels
[123] dels,casos

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@cnnpolitics
@e_scel
@aisnabi24
@woopdedoo652
@chris_batson_1
@joyfulgirl76
@whitehouse
@graca5683
@cdcgov

Top Replied-To in G1:
@cdcgov
@whitehouse
@goalie401
@mike_pence
@michaelcburgess
@kamron_hill15
@pjlm
@eliowa
@circuspubes
@drdavidsamadi

Top Replied-To in G3:
@z_mutoh

Top Replied-To in G4:
@seemacms

Top Replied-To in G5:
@roseta05519681
@noelganados
@albaluzdegas
@soniatwin72

Top Replied-To in G6:
@realdonaldtrump
@joyfulgirl76
@mydogleonard
@neilclark66
@rachel_mfreeman
@siutopoon
@niftymm2
@izigger77
@rebeccasaidso
@mmpadellan

Top Replied-To in G9:
@daniellevitt22
@elonbachman
@johnkramer7
@ajkaywriter
@lovingthegoodl1
@nosmhnmh
@o_rips
@roypentland
@cityoflasvegas
@jordanschachtel

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@ibaraki_kouhou
@cdcdirector
@cdcemergency
@ilindelatorremd
@sanidadgob
@saludpublicaes
@edogawa_city
@joethebrew
@hiroshima_pref

Top Mentioned in G1:
@cdcgov
@cdctravel
@cdcdirector
@mrwick2u
@hhs_ash
@cdcemergency
@momsrising
@yafshar
@ncaiprc
@whitehouse

Top Mentioned in G2:
@coronavirush24
@akabutamy
@jannaramazanov1
@kuvietnam07
@tek_fiz
@larocheric1
@apapoyo1
@sane_mission
@schaechterle
@alisonblunt

Top Mentioned in G3:
@ibaraki_kouhou
@ibk44
@kouhou_mito
@inashiki_city
@covid_19_covid
@itako_city_offi
@covid19_ibaraki
@mutoh_z
@z_mutoh
@jun1tama

Top Mentioned in G4:
@cdcdirector
@cdcgov
@nddoh
@knoxcohealthtn
@hhs_ash

Top Mentioned in G5:
@sanidadgob
@saludpublicaes
@guardiacivil
@060gobes
@cdcgov
@cdcdirector
@gobaragon
@carmentwin72
@saludpublicaara
@davidrliu

Top Mentioned in G6:
@realdonaldtrump
@tahkiblanco
@davidwohl
@whitehouse
@donwinslow
@lindseygrahamsc
@projectlincoln
@eugenegu
@itsjefftiedrich
@hkrassenstein

Top Mentioned in G7:
@cdcemergency
@cdcgov
@nmdoh
@cdcdirector
@usandmumbai
@californiadds
@dekalb_co_ema

Top Mentioned in G8:
@ilindelatorremd
@delcastillosal

Top Mentioned in G9:
@kerpen
@brennansprayrug
@alexberenson
@fatemperor
@jordanschachtel
@mlevitt_np2013
@daniellevitt22
@lucyferr3
@trackingcovid
@shomburg

Top Mentioned in G10:
@joethebrew

Top Tweeters
Top Tweeters in Entire Graph:
@dichristine
@jurylady5
@federicoalves
@loupo85
@robre62
@lopezgovlaw
@joefreedomlove
@moonbootica
@1denmadrid
@wittgenstein_jm

Top Tweeters in G1:
@federicoalves
@rjber15
@padakitty
@politicalbee
@rosenchild
@rcrockett
@nancy_moon_1789
@hijcp
@kimvie
@carlyinnj

Top Tweeters in G2:
@himagine_no9
@metmoii
@didaclopez
@stilgherrian
@comparmedoc
@psginna
@occupyschagen
@dreifarbige_cat
@awajiya
@crwriter1

Top Tweeters in G3:
@westinghouse565
@gaabnote
@kirikami
@rakuten_wahaha
@avalon1982
@hitosas1104
@noel_hasui
@nonomaru116
@mutoh_z
@zyoushou

Top Tweeters in G4:
@dichristine
@kenkircher1
@pollsstar
@journeyproducti
@wadakashiho
@freeandclear1
@casablancaric
@wetfeathers
@pedro_e_kim
@1jasliz

Top Tweeters in G5:
@escafint
@sylar_71
@meme_montero
@lilloteresa
@937908mcm
@ceciliocastro
@macmirub
@enedina37049621
@brujinma
@talianieto

Top Tweeters in G6:
@inittowinit007
@electricboyo
@lrihendry
@kccinews
@benshapiro
@seekerotruth
@oann
@rathernotsay
@dmregister
@larryboorstein

Top Tweeters in G7:
@cmarslett
@elantara
@bgrs
@wrfoxkidsnation
@mdteresa
@jpblough
@laporres
@2b_painfree
@tbdnonymous
@eightynines

Top Tweeters in G8:
@chelitabombom
@erianaferro
@mr_jeffry
@dracolita
@nl_fut_politica
@mariaeugenia22_
@eypepe
@memva
@ilindelatorremd
@sheilamordan

Top Tweeters in G9:
@joshgalka88
@kacrary2
@deborahhallsted
@roncoleman
@barnes_law
@treehuggingsis
@jcpub19
@dcdude1776
@top_grafisch
@kerpen

Top Tweeters in G10:
@wittgenstein_jm
@martitze
@sasam1714
@tsunamilliberta
@cristinasamped1
@sevezubiri
@jomarina55
@palmaneus
@freeredndwild
@thinkcatalonia