NCoV, Twitter, 7/3/2020 7:36:03 PM, 230187


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NCoV_2020-07-03_01-36-01.xlsx
NCoV_2020-07-03_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 03, 2020
Short Description:
NCoV via NodeXL https://bit.ly/2VJ7WcR
@cdcgov
@cnnee
@cmyeaton
@maiadeluna2
@tomwlsn31
@realdonaldtrump
@surgeon_general
@suzyqz777
@gavinnewsom
@centralcoastliz

Top hashtags:
#covid19
#新型コロナウイルス
#coronavirus
#ワンチーム茨城
#slowthespread
#covidview
#hcp
#covid_19

Description:
Description
The graph represents a network of 6,059 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, 03 July 2020 at 08:37 UTC.

The requested start date was Friday, 03 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, 14-hour, 26-minute period from Tuesday, 30 June 2020 at 21:51 UTC to Thursday, 02 July 2020 at 12:17 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 : 6059
Unique Edges : 3178
Edges With Duplicates : 7702
Total Edges : 10880
Number of Edge Types : 5
Retweet : 3445
MentionsInRetweet : 4199
Replies to : 780
Mentions : 1559
Tweet : 897
Self-Loops : 923
Reciprocated Vertex Pair Ratio : 0.00757958564931784
Reciprocated Edge Ratio : 0.0150451354062187
Connected Components : 983
Single-Vertex Connected Components : 364
Maximum Vertices in a Connected Component : 2532
Maximum Edges in a Connected Component : 5506
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.458155
Graph Density : 0.000162973197801676
Modularity : 0.556888
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 6,059 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, 03 July 2020 at 08:37 UTC.

The requested start date was Friday, 03 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, 14-hour, 26-minute period from Tuesday, 30 June 2020 at 21:51 UTC to Thursday, 02 July 2020 at 12:17 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:
[402] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[155] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[86] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[80] https://espanol.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[73] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9714-485p02.html
[61] https://www.city.edogawa.tokyo.jp/e004/bosaianzen/covid-19/taiou/index.html#kangae
[51] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[48] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[32] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html

Top URLs in Tweet in G1:
[78] https://espanol.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[24] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[9] https://espanol.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/diy-cloth-face-coverings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/travelers/travel-in-the-us.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[5] https://cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/using-ppe.html

Top URLs in Tweet in G2:
[48] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[7] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9714-485p02.html
[6] https://medium.com/@siradrianbond/coronavirus-2019-ncov-part-1-d6a338eed7c5
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://medicaldoc.jp/column/2019-ncov-20/

Top URLs in Tweet in G3:
[76] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[1] https://www.youtube.com/watch?v=uPvmdrBcItc&feature=youtu.be

[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/0702_chikusei.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/taiin.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/0401d.html
[1] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[1] https://www.pref.chiba.lg.jp/shippei/kansenshou/2019-ncov.html
[1] https://www.pref.chiba.lg.jp/shippei/press/2020/documents/ncov-859-863.pdf

Top URLs in Tweet in G4:
[1] https://trib.al/zeSFzIS
[1] https://cnn.it/2BrwWhG
[1] https://trib.al/k486RZm

Top URLs in Tweet in G5:
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G6:
[18] http://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/testing.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[3] https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/status.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/organizations/business-employers/bars-restaurants.html
[2] https://www.worldometers.info/coronavirus/us-data/
[2] https://gizmodo.com/the-cdc-is-screwing-up-how-we-count-covid-19-testing-nu-1843588329
[2] https://justthenews.com/politics-policy/coronavirus/texas-government-counting-every-covid-positive-hospital-case
[2] https://communityimpact.com/dallas-fort-worth/frisco/coronavirus/2020/05/19/new-covid-19-definitions-by-the-state-could-raise-case-counts-in-collin-county/

Top URLs in Tweet in G7:
[13] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[3] 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/how-to-make-cloth-face-covering.html
[2] https://www.centerforhealthsecurity.org/event201/
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/guidelines-clinical-specimens.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html#hospitalizations
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/mis-c.html

Top URLs in Tweet in G8:
[11] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_153_COVID-19.pdf
[7] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_152_COVID-19.pdf
[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/documentos/030520_GUIA_COMPRA_MASCARILLAS.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_148_COVID-19.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_151_COVID-19.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/documentos/recomendacionesAperturaPiscinas.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_Mascarillas_higienicas_poblacion_general.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_SupervivenciaDelVirus_200410.pdf

Top URLs in Tweet in G9:
[16] https://www.cdc.gov/coronavirus/2019-ncov/community/colleges-universities/ihe-testing.html
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/planDesescalada.htm
[1] https://twitter.com/rfsquared/status/1277967169565802496
[1] https://johnshopkinssph.libsyn.com/whats-next-with-covid-19-considerations-for-reopening-gyms-bars-and-other-non-essential-businesses
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-risk-assesment-hcp.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1487] cdc.gov
[97] ibaraki.jp
[85] go.jp
[84] tokyo.jp
[76] twitter.com
[71] gob.es
[62] recombinomics.co
[58] flutrackers.com
[46] lg.jp
[45] who.int

Top Domains in Tweet in G1:
[263] cdc.gov
[19] twitter.com
[8] bit.ly
[4] cmun.it
[1] floridahealthcovid19.gov
[1] gob.es
[1] ow.ly

Top Domains in Tweet in G2:
[194] cdc.gov
[21] twitter.com
[11] lg.jp
[9] go.jp
[9] ibaraki.jp
[8] gob.es
[8] who.int
[8] tokyo.jp
[7] medium.com
[6] nytimes.com

Top Domains in Tweet in G3:
[82] ibaraki.jp
[3] lg.jp
[1] youtube.com

Top Domains in Tweet in G4:
[2] trib.al
[1] cnn.it

Top Domains in Tweet in G5:
[1] cdc.gov

Top Domains in Tweet in G6:
[32] cdc.gov
[21] sandiegocounty.gov
[2] worldometers.info
[2] gizmodo.com
[2] justthenews.com
[2] communityimpact.com
[2] banned.video
[2] osha.gov
[2] mayoclinic.org
[1] wordpress.com

Top Domains in Tweet in G7:
[37] cdc.gov
[2] centerforhealthsecurity.org
[2] smartairfilters.com
[1] youtube.com
[1] nature.com
[1] hopkinsmedicine.org
[1] mayoclinic.org
[1] sciencemag.org
[1] elsevierhealth.com
[1] nih.gov

Top Domains in Tweet in G8:
[34] gob.es
[1] gencat.cat
[1] portalfarma.com
[1] metropoliabierta.com

Top Domains in Tweet in G9:
[18] cdc.gov
[1] gob.es
[1] twitter.com
[1] libsyn.com

Top Domains in Tweet in G10:
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1063] covid19
[279] 新型コロナウイルス
[134] coronavirus
[74] ワンチーム茨城
[56] slowthespread
[41] covidview
[41] hcp
[34] covid_19
[31] mascarillas
[30] sarscov2



Top Hashtags in Tweet in G1:
[696] covid19
[41] covidview
[41] hcp
[12] employers
[11] covidー19
[10] coronavirus
[7] hcps
[6] covid
[4] dyk
[3] coverthecovid

Top Hashtags in Tweet in G2:
[44] covid19
[15] coronavirus
[11] ncov
[9] maskuputah
[5] covid
[5] covid_19
[4] sarscov2
[3] covidー19
[3] corona
[3] virus

Top Hashtags in Tweet in G3:
[253] 新型コロナウイルス
[74] ワンチーム茨城

Top Hashtags in Tweet in G4:
[1] covid19

Top Hashtags in Tweet in G6:
[4] nationalcity
[4] covid19
[2] covid
[2] slowthespread
[1] fraud
[1] deepstate
[1] cellphones
[1] nationwide
[1] hoax

Top Hashtags in Tweet in G7:
[1] merchantsofdoubt
[1] denialbydelay
[1] scienceilliterates
[1] trump2020
[1] trumpvirus

Top Hashtags in Tweet in G8:
[82] covid19
[31] mascarillas
[17] coronavirus
[9] nolotiresporlaborda
[4] higienejcyl
[4] documentosprl
[4] covid_19
[1] colegioconcertado
[1] colegioprivado
[1] innovacióneducativa

Top Hashtags in Tweet in G9:
[1] covid19

Top Words
Top Words in Tweet in Entire Graph:
[1111] cdc
[1063] #covid19
[882] cdcgov
[820] covid
[771] ncov
[645] positive
[620] 19
[576] more
[568] cases
[457] 2019

Top Words in Tweet in G1:
[852] cdcgov
[696] #covid19
[425] more
[264] protect
[246] learn
[232] positive
[229] others
[221] cdc
[212] yourself
[186] cases

Top Words in Tweet in G2:
[96] ncov
[96] covid
[91] 19
[84] cdc
[56] coronavirus
[46] 2019
[44] #covid19
[36] cases
[35] test
[33] mask

Top Words in Tweet in G3:
[253] #新型コロナウイルス
[253] 感染症情報
[249] ibaraki_kouhou
[181] 新型コロナウイルスに感染していることが判明しました
[179] 7月2日
[179] 県内で
[179] 新たに2名の方が
[179] なお
[179] 本件について
[179] 濃厚接触者の把握を含めた積極的疫学調査を行っています

Top Words in Tweet in G4:
[239] vacuna
[239] conocida
[239] ad5
[239] ncov
[239] desarrollada
[239] instituto
[239] biotecnología
[239] beijing
[236] cnnee
[230] compañía

Top Words in Tweet in G5:
[212] ได
[212] ท
[211] า
[211] ในกรณ
[211] ไม
[210] cdc
[210] ออกคำแนะนำเร
[210] องการใส
[210] หน
[210] ากากผ

Top Words in Tweet in G6:
[42] covid
[34] cdc
[24] 19
[22] gavinnewsom
[20] sandiegocounty
[19] testing
[18] free
[18] county
[18] appointment
[17] flu

Top Words in Tweet in G7:
[30] realdonaldtrump
[11] positive
[10] cdc
[8] test
[7] people
[7] 19
[7] virus
[6] mask
[6] read
[6] mean

Top Words in Tweet in G8:
[88] saludpublicaes
[82] #covid19
[38] datos
[38] españa
[37] uso
[32] usar
[31] deben
[31] #mascarillas
[31] niños
[31] niñas

Top Words in Tweet in G9:
[87] 100
[74] cmyeaton
[74] community
[73] sure
[73] describing
[73] spain's
[73] plans
[73] control
[73] transmission
[73] transitioning

Top Words in Tweet in G10:
[91] test
[91] positive
[91] common
[91] cold
[91] well
[91] isn
[91] special
[91] straight
[91] experts
[91] wonder

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[563] covid,19
[397] ad5,ncov
[296] common,cold
[256] learn,more
[253] #新型コロナウイルス,感染症情報
[249] ibaraki_kouhou,#新型コロナウイルス
[249] conocida,ad5
[249] ncov,desarrollada
[249] instituto,biotecnología
[248] vacuna,conocida

Top Word Pairs in Tweet in G1:
[213] learn,more
[206] protect,yourself
[200] yourself,others
[196] others,#covid19
[178] cases,reported
[176] more,million
[175] million,#covid19
[175] #covid19,cases
[175] reported,40
[175] 40,states

Top Word Pairs in Tweet in G2:
[81] covid,19
[39] 2019,ncov
[15] common,cold
[15] wearing,mask
[15] coronavirus,2019
[10] ad5,ncov
[10] #covid19,pandemic
[10] stop,spread
[9] start,#covid19
[9] pandemic,we've

Top Word Pairs in Tweet in G3:
[253] #新型コロナウイルス,感染症情報
[249] ibaraki_kouhou,#新型コロナウイルス
[179] 感染症情報,7月2日
[179] 7月2日,県内で
[179] 県内で,新たに2名の方が
[179] 新たに2名の方が,新型コロナウイルスに感染していることが判明しました
[179] 新型コロナウイルスに感染していることが判明しました,なお
[179] なお,本件について
[179] 本件について,濃厚接触者の把握を含めた積極的疫学調査を行っています
[179] 濃厚接触者の把握を含めた積極的疫学調査を行っています,詳しくは

Top Word Pairs in Tweet in G4:
[239] vacuna,conocida
[239] conocida,ad5
[239] ad5,ncov
[239] ncov,desarrollada
[239] instituto,biotecnología
[239] biotecnología,beijing
[236] cnnee,vacuna
[230] beijing,compañía
[195] desarrollada,conjuntamente
[195] conjuntamente,instituto

Top Word Pairs in Tweet in G5:
[210] cdc,ออกคำแนะนำเร
[210] ออกคำแนะนำเร,องการใส
[210] องการใส,หน
[210] หน,ากากผ
[210] ากากผ,า
[210] า,ว
[210] ว,าน
[210] าน,าจะช
[210] าจะช,วยลดการระบาดของ
[210] วยลดการระบาดของ,coronavirus

Top Word Pairs in Tweet in G6:
[22] covid,19
[17] testing,site
[16] locate,free
[16] free,county
[16] county,covid
[16] 19,testing
[16] site,schedule
[16] schedule,appointment
[16] appointment,visit
[14] pneumonia,flu

Top Word Pairs in Tweet in G7:
[7] test,positive
[6] common,cold
[5] results,mean
[5] people,common
[5] cold,test
[5] positive,covid
[5] covid,19
[4] wear,mask
[4] realdonaldtrump,please
[4] trumpitis1,people

Top Word Pairs in Tweet in G8:
[38] datos,#covid19
[38] #covid19,españa
[31] deben,usar
[31] usar,#mascarillas
[31] #mascarillas,niños
[31] niños,niñas
[31] niñas,obligatorias
[31] obligatorias,partir
[31] partir,recomendables
[30] uso,mascarilla

Top Word Pairs in Tweet in G9:
[73] sure,100
[73] 100,describing
[73] describing,spain's
[73] spain's,plans
[73] plans,control
[73] control,transmission
[73] transmission,transitioning
[73] transitioning,community
[72] cmyeaton,sure
[72] community,mitigati

Top Word Pairs in Tweet in G10:
[91] test,positive
[91] positive,common
[91] common,cold
[91] cold,well
[91] well,isn
[91] isn,special
[91] special,straight
[91] straight,experts
[91] experts,wonder
[90] silver_fox9,test

Top Replied-To
Top Replied-To in Entire Graph:
@oregongovbrown
@gavinnewsom
@realdonaldtrump
@lghtworker
@mchooyah
@nygovcuomo
@culwell6
@sappientissimu1
@tsickles321
@jward_73

Top Replied-To in G1:
@govmlg
@dogoffstudio
@mike_philipps4
@jgp1031
@youmakamecrazy
@rolo_tamasi
@cdcgov
@darnelsugarfoo
@greenmtnpatriot

Top Replied-To in G2:

Top Replied-To in G3:
@z_mutoh

Top Replied-To in G6:
@gavinnewsom
@sandiegocounty
@tylerschnabel
@mikeandersonsr
@dfhappy
@seamonkey9871
@kevin_faulconer
@melissa94580275
@stevecoville
@kellzbellzzah

Top Replied-To in G7:
@realdonaldtrump
@sappientissimu1
@gopleader
@kathyda81258360
@bennetthelen2
@realcandaceo
@oathdefender
@njpandemic
@macfearghus
@srsinger40

Top Replied-To in G9:
@2cities2worlds

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@ibaraki_kouhou
@cnnee
@kielsan234
@cdcdirector
@silver_fox9
@fedkukso
@saludpublicaes
@cmyeaton
@robertovidri

Top Mentioned in G1:
@cdcgov
@cdcdirector
@robertovidri
@healthyfla
@jwspry
@repescobar
@surgeon_general
@depsechargan
@readygov
@cdcemergency

Top Mentioned in G2:
@llmohr
@lightb1321blue
@39magilla
@amarilleian
@kodomost
@f4tllc

Top Mentioned in G3:
@ibaraki_kouhou
@chikusei_city
@mutoh_z
@z_mutoh
@hayatake1939

Top Mentioned in G4:
@cnnee
@cdcgov

Top Mentioned in G5:
@kielsan234

Top Mentioned in G6:
@sandiegocounty
@gavinnewsom
@dawnb4618
@mikeandersonsr
@pisdi0331
@alpenstrudel
@kellzbellzzah
@therightmelissa
@cityofnatlcity
@mayorofla

Top Mentioned in G7:
@realdonaldtrump
@trumpitis1
@aubrey_huff
@geraldorivera
@qanon76
@kimmariarobert2
@plastiksurgeone
@armyanonsoldier
@josef86735145
@ifiddledeedee

Top Mentioned in G8:
@saludpublicaes
@sanidadgob
@salutcat
@je_pala
@cdcdirector
@farmaceuticos_
@cnnee
@salvadorilla
@prevencionjcyl

Top Mentioned in G9:
@cmyeaton
@ct_bergstrom
@wmhaseltine
@microwavessci
@publichealthpod
@cdcgov
@angie_rasmussen
@bryandresden
@lippard

Top Mentioned in G10:
@silver_fox9

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@tomthunkitsmind
@amr_shin
@adrianat9735
@matiere
@joefreedomlove
@lafm
@phillip92321
@jjauthor
@bkindngood

Top Tweeters in G1:
@joefreedomlove
@politicalbee
@bistycsross
@mapocoloco
@antarianrani
@protestmusica
@russmove
@edgeoforever
@nihaustin
@oldsalz

Top Tweeters in G2:
@matiere
@toicitiesnews
@reporteni
@dinamani
@jp_kenchan_dayo
@ronosyuka
@crwriter1
@juanseapi
@jenin140
@ronpaul4constit

Top Tweeters in G3:
@westinghouse565
@lynmock
@noel_hasui
@zyoushou
@mutoh_z
@midoriyatenin
@y_okada_6_8
@sgr_kn
@dummyxtweet
@zachota

Top Tweeters in G4:
@sergiogonzalezf
@cnnee
@maiadeluna2
@kambita2801
@sacarratas
@fersol101150
@pedrogonzalezta
@alertagt502
@yopaomontenegro
@vg8maria

Top Tweeters in G5:
@g1aucous
@i_warminghoney
@blueeveryday_
@buapeun
@kimdreamcrush
@wmelon0319
@peachxcotton
@pp_sone9
@szcapp
@jniewalker

Top Tweeters in G6:
@alizardx
@gaetasusan
@lvnancy
@leahr77
@katthehammer1
@steph93065
@mikeandersonsr
@donnawr8
@sandrasentinel
@360cnn

Top Tweeters in G7:
@ecclesias
@safimaasai
@nbcphiladelphia
@funder
@tony201713
@jaketapper
@spauldingshowal
@jujube23
@breakingbraavos
@nbcsphilly

Top Tweeters in G8:
@miguelhilargiak
@meme_montero
@mer_anoto
@nil_cat1
@saramurcia
@__carmenlopez
@desconocido300
@pgpnzalo1
@veromarvel_6
@deplaymobil

Top Tweeters in G9:
@phillip92321
@redboybroken
@lillylyle
@beccanalia
@samyagdrsti
@puppalizie
@gaylaannette
@lizl_genealogy
@thatmags
@doritmi

Top Tweeters in G10:
@shirleyringuet5
@harrellryan1
@freeillinoisnow
@jcoralpark
@balind8
@lilibellmia
@silver_fox9
@dgpurser
@rosedc11
@franginter