NCoV, Twitter, 3/8/2021 7:15:17 AM, 250324


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NCoV_2021-03-07_03-07-01.xlsx
NCoV_2021-03-07_03-07-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 08, 2021
Short Description:
NCoV via NodeXL https://bit.ly/2PzNQBk
@cdcgov
@viralvideovlogs
@abirballan
@drericding
@dloesch
@bouche_bee
@who
@saludpublicaes
@jwspry
@gogopclub

Top hashtags:
#covid19
#mask
#covid_19
#新型コロペウイルス
#新型コロナウイルス
#いばらきアマビエちゃん
#sarscov2
#coronavirus

Description:
Description
The graph represents a network of 8,061 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 Sunday, 07 March 2021 at 11:18 UTC.

The requested start date was Saturday, 06 March 2021 at 01:01 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, 10-hour, 24-minute period from Tuesday, 02 March 2021 at 14:35 UTC to Saturday, 06 March 2021 at 01:00 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 : 8061
Unique Edges : 3504
Edges With Duplicates : 13221
Total Edges : 16725
Number of Edge Types : 5
Retweet : 5296
MentionsInRetweet : 6455
Replies to : 896
Mentions : 2725
Tweet : 1353
Self-Loops : 1388
Reciprocated Vertex Pair Ratio : 0.0051150895140665
Reciprocated Edge Ratio : 0.0101781170483461
Connected Components : 1203
Single-Vertex Connected Components : 457
Maximum Vertices in a Connected Component : 4259
Maximum Edges in a Connected Component : 11012
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.081769
Graph Density : 0.000120975822381635
Modularity : 0.476259
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 8,061 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 Sunday, 07 March 2021 at 11:18 UTC.

The requested start date was Saturday, 06 March 2021 at 01:01 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, 10-hour, 24-minute period from Tuesday, 02 March 2021 at 14:35 UTC to Saturday, 06 March 2021 at 01:00 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:
[676] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[105] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[70] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[58] https://espanol.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/ventilation.html
[55] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html?s=08
[53] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/ventilation.html
[49] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[48] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/8-marc/
[45] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[43] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G1:
[12] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[11] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/ventilation.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafe.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/pregnancy-breastfeeding.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html

Top URLs in Tweet in G2:
[660] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[1] https://danaloesch.substack.com/p/the-rage-hypocrisy-over-texass-reopening

Top URLs in Tweet in G3:
[25] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/8-marc/
[15] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-benefits.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/ventilation.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[8] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[8] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm

Top URLs in Tweet in G4:
[4] https://www.who.int/publications/i/item/WHO-2019-nCoV-prophylaxes-2021-1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/who/status/1366837378824953856
[1] https://www.umms.org/coronavirus/what-to-know/masks/wearing-mask#:~:text=Cloth%20face%20masks%20are%20effective,to%20reach%20other%20people
[1] https://medical.mit.edu/covid-19-updates/2020/07/do-cloth-masks-work
[1] https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/coronavirus-mask/art-20485449
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-face-masks-what-you-need-to-know
[1] https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent
[1] https://theconversation.com/covid-19-masks-faqs-how-can-cloth-stop-a-tiny-virus-whats-the-best-fabric-do-they-protect-the-wearer-146822

Top URLs in Tweet in G5:
[11] https://www.cdc.gov/coronavirus/2019-ncov/lab/virus-requests.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Flab%2Ftool-virus-requests.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[2] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[2] https://apps.who.int/iris/bitstream/handle/10665/331660/WHO-2019-nCoV-clinical-2020.4-spa.pdf?sequence=1&isAllowed=y
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[1] https://www.who.int/influenza/publications/public_health_measures/publication/en/
[1] 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
[1] https://apps.who.int/iris/bitstream/handle/10665/332293/WHO-2019-nCov-IPC_Masks-2020.4-eng.pdf?sequence=1&isAllowed=y
[1] https://www.zoeharcombe.com/2020/12/chadox1-ncov-19-the-lancet-papers/

Top URLs in Tweet in G6:
[22] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_325_COVID-19.pdf
[22] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_326_COVID-19.pdf
[19] https://bit.ly/3q93yA7
[16] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/estrategia/medidasPrevCCAA.htm
[10] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210305.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_323_COVID-19.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210302.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210304.pdf
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm

Top URLs in Tweet in G7:
[32] https://nextstrain.org/ncov
[19] https://nextstrain.org/ncov/europe
[6] https://nextstrain.org/ncov/oceania
[5] https://nextstrain.org/ncov/asia
[4] https://nextstrain.org/ncov/north-america
[3] https://nextstrain.org/ncov/africa
[3] https://nextstrain.org/ncov/south-america
[2] https://nextstrain.org/groups/neherlab/ncov/S.501Y.V3
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-04-03
[1] https://nextstrain.org/groups/neherlab/ncov/S.E484?branchLabel=aa&c=division&label=mlabel:20C/C25517T&p=grid

Top URLs in Tweet in G8:
[28] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210304_shiryoteikyo.pdf
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210302_shiryoteikyo.pdf
[2] https://www.city.yuki.lg.jp/sp/page/page006158.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210301_shiryouteikyou.pdf
[2] https://news.yahoo.co.jp/articles/cfd9d7de1d91b678fa335e2e1e29aa68eb2bfa68
[1] https://news.yahoo.co.jp/articles/377467307f27c62af2a28784583d09fed29510ba

Top URLs in Tweet in G9:
[5] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/ventilation.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/schools.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/operation-strategy.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/children/protect-children.html
[1] 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
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-benefits.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/schools-faq.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/decision-tool.html

Top URLs in Tweet in G10:
[13] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[12] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html
[2] https://www.pnas.org/content/118/4/e2014564118
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html?fbclid=IwAR3METy5WoUM_6YzM1sKAn2jZuIA1GBp7oLtzw69ErpE8HxMuI4wkYOt9dQ
[1] https://twitter.com/ritapanahi/status/1367661774992863234
[1] https://twitter.com/JemmaMoran/status/1347920935639248898
[1] https://twitter.com/realdylanriccio/status/1366869111347814410
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top Domains
Top Domains in Tweet in Entire Graph:
[2386] cdc.gov
[240] gob.es
[127] recombinomics.co
[114] nextstrain.org
[96] twitter.com
[94] who.int
[70] lg.jp
[66] ibaraki.jp
[64] gencat.cat
[56] go.jp

Top Domains in Tweet in G1:
[209] cdc.gov
[13] twitter.com
[4] usa.gov
[3] delaware.gov
[1] google.com
[1] who.int
[1] bit.ly
[1] linkedin.com
[1] t.co
[1] cms.gov

Top Domains in Tweet in G2:
[660] cdc.gov
[1] substack.com

Top Domains in Tweet in G3:
[346] cdc.gov
[33] twitter.com
[32] gob.es
[30] gencat.cat
[26] lg.jp
[16] ibaraki.jp
[11] bit.ly
[11] nextstrain.org
[10] go.jp
[8] ncov.se

Top Domains in Tweet in G4:
[5] who.int
[5] cdc.gov
[1] twitter.com
[1] umms.org
[1] mit.edu
[1] mayoclinic.org
[1] hopkinsmedicine.org
[1] ucsf.edu
[1] theconversation.com
[1] nature.com

Top Domains in Tweet in G5:
[20] cdc.gov
[5] who.int
[3] gob.es
[1] zoeharcombe.com
[1] fda.gov
[1] eurosurveillance.org

Top Domains in Tweet in G6:
[119] gob.es
[19] bit.ly
[16] navarra.es
[3] arcgis.com
[2] who.int
[1] draftable.com
[1] ine.es
[1] gencat.cat
[1] comunidad.madrid
[1] twitter.com

Top Domains in Tweet in G7:
[86] nextstrain.org
[2] cdc.gov
[1] twitter.com
[1] gob.es
[1] go.jp
[1] nikkei.com
[1] bedford.io

Top Domains in Tweet in G8:
[39] ibaraki.jp
[3] co.jp
[2] lg.jp

Top Domains in Tweet in G9:
[12] cdc.gov
[1] who.int

Top Domains in Tweet in G10:
[29] cdc.gov
[12] gov.au
[4] twitter.com
[2] pnas.org
[1] who.int
[1] mayoclinic.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1945] covid19
[312] mask
[127] covid_19
[126] 新型コロペウイルス
[115] 新型コロナウイルス
[99] いばらきアマビエちゃん
[94] sarscov2
[61] coronavirus
[56] importante
[55] vacuna



Top Hashtags in Tweet in G1:
[711] covid19
[292] mask
[7] dyk
[7] wearamask
[7] travel
[7] slamthescamchat
[6] new
[6] ncpw2021
[4] covid19vaccine
[4] coronavirus

Top Hashtags in Tweet in G3:
[101] covid19
[20] coronavirus
[18] covid
[9] vaccine
[9] wearamask
[7] cdc
[5] covidvaccine
[4] masks
[4] maskup
[4] mask

Top Hashtags in Tweet in G4:
[343] covid19
[4] mask
[1] coronavirus
[1] wuhan
[1] china

Top Hashtags in Tweet in G6:
[279] covid19
[33] 6m
[16] ccaa
[9] yomevacuno
[8] andalucía
[6] vacunacovid19
[5] bondia
[5] lagarriga
[4] coronavirusnavarra
[4] navarra

Top Hashtags in Tweet in G7:
[36] covid19
[34] sarscov2
[32] opendata
[2] 報道1930
[1] royalprincealfredhospital
[1] izsler
[1] izs
[1] zanmitrev
[1] bcsir
[1] viraltime

Top Hashtags in Tweet in G8:
[122] 新型コロペウイルス
[110] 新型コロナウイルス
[98] いばらきアマビエちゃん
[3] いばらきアマビエちゃん
[2] 結åÿžå¸‚
[1] 龍ケ崎
[1] 龍ケ崎市コロナ対策
[1] 龍ケ崞
[1] 龍ケ崞市コロペ対策

Top Hashtags in Tweet in G9:
[2] covid19
[1] schoolreopening
[1] homeschooling2021
[1] makeschoolssafe
[1] freshairschools
[1] safeedforall
[1] parenting
[1] schools

Top Hashtags in Tweet in G10:
[9] covid19
[4] كورونا
[1] covid1984

Top Words
Top Words in Tweet in Entire Graph:
[2372] æ
[1945] #covid19
[1385] ç
[1340] covid
[1202] ì
[1198] 19
[1070] cdcgov
[973] cdc
[917] ãƒ
[784] mask

Top Words in Tweet in G1:
[990] cdcgov
[711] #covid19
[519] mask
[451] fits
[449] layers
[408] more
[391] getting
[339] vaccine
[303] stop
[292] #mask

Top Words in Tweet in G2:
[660] note
[660] negative
[660] test
[660] before
[660] boarding
[660] flight
[660] reenter
[659] dloesch

Top Words in Tweet in G3:
[253] covid
[253] 19
[113] vaccine
[101] #covid19
[99] cdc
[94] æ
[83] more
[80] ç
[69] ãƒ
[68] ncov

Top Words in Tweet in G4:
[343] #covid19
[329] prevent
[317] infection
[316] anti
[316] inflammatory
[316] drug
[316] hydroxychloroquine
[316] used
[316] people
[312] accordinâ

Top Words in Tweet in G5:
[340] risk
[310] abirballan
[183] infection
[180] 19
[178] covid
[171] very
[171] few
[170] presents
[170] high
[170] negligible

Top Words in Tweet in G6:
[279] #covid19
[176] saludpublicaes
[131] sanidadgob
[117] datos
[105] hoy
[72] informe
[70] dosis
[66] frente
[65] consulta
[62] actividad

Top Words in Tweet in G7:
[133] gisaid
[101] nextstrain
[79] um5rabat
[71] thanks
[66] krisp_news
[66] rjlessells
[59] sequences
[55] tuliodna
[55] eduanwilkinson
[50] esrnewzealand

Top Words in Tweet in G8:
[1694] æ
[954] ç
[375] æœ
[318] ãƒ
[284] ÿæÿ
[225] ibaraki_kouhou
[157] šã
[146] åž
[145] ペã
[138] æƒ

Top Words in Tweet in G9:
[70] cdc
[70] schools
[67] safely
[67] possible
[67] looks
[66] thealiceroberts
[66] recommendations
[66] reopening
[66] something
[66] advanced

Top Words in Tweet in G10:
[28] gregabbott_tx
[21] jwspry
[14] innocuous
[14] wearing
[13] more
[12] cdc
[12] healthy
[11] literally
[11] effective
[11] age

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1068] covid,19
[662] note,negative
[662] negative,test
[662] test,before
[662] before,boarding
[662] boarding,flight
[662] flight,reenter
[661] dloesch,note
[568] æ,æ
[425] ì,ì

Top Word Pairs in Tweet in G1:
[282] pick,mask
[282] mask,layers
[281] improve,#mask
[281] #mask,fits
[281] fits,protects
[281] protects,pick
[281] layers,stop
[281] stop,more
[281] more,respiratory
[281] respiratory,droplets

Top Word Pairs in Tweet in G2:
[660] note,negative
[660] negative,test
[660] test,before
[660] before,boarding
[660] boarding,flight
[660] flight,reenter
[659] dloesch,note

Top Word Pairs in Tweet in G3:
[221] covid,19
[48] learn,more
[44] 19,vaccine
[32] 19,vaccines
[27] 2019,ncov
[25] ãƒ,ãƒ
[24] noves,mesures
[21] mesures,contenció
[20] partir,març
[18] chadox1,ncov

Top Word Pairs in Tweet in G4:
[316] anti,inflammatory
[316] inflammatory,drug
[316] drug,hydroxychloroquine
[316] hydroxychloroquine,used
[316] used,prevent
[316] prevent,infection
[316] infection,people
[316] people,#covid19
[312] #covid19,accordinâ
[42] strong,recommendation

Top Word Pairs in Tweet in G5:
[178] covid,19
[171] very,few
[170] 19,presents
[170] presents,high
[170] high,risk
[170] risk,very
[170] few,negligible
[170] negligible,risk
[170] risk,many
[170] many,infection

Top Word Pairs in Tweet in G6:
[104] datos,#covid19
[65] frente,#covid19
[59] materiales,coronavirus
[52] dosis,distribuidas
[51] informe,actividad
[51] actividad,proceso
[49] consulta,informe
[49] #covid19,hoy
[46] saludpublicaes,consulta
[45] primer,caso

Top Word Pairs in Tweet in G7:
[68] gisaid,um5rabat
[67] nextstrain,gisaid
[66] krisp_news,rjlessells
[55] rjlessells,tuliodna
[55] tuliodna,eduanwilkinson
[50] esrnewzealand,mathstorey
[50] mathstorey,joepdl
[50] joepdl,sciolato
[43] um5rabat,krisp_news
[38] eduanwilkinson,ufmg

Top Word Pairs in Tweet in G8:
[499] æ,æ
[369] æœ,æ
[281] æ,ÿæÿ
[270] ÿæÿ,ç
[146] åž,ãƒ
[145] ãƒ,ペã
[145] ペã,ãƒ
[145] ãƒ,æ
[132] æ,ç
[132] ç,šã

Top Word Pairs in Tweet in G9:
[66] recommendations,cdc
[66] cdc,reopening
[66] reopening,schools
[66] schools,safely
[66] safely,possible
[66] possible,looks
[66] looks,something
[66] something,advanced
[65] thealiceroberts,recommendations
[65] advanced,ci

Top Word Pairs in Tweet in G10:
[10] more,effective
[10] healthy,person
[10] person,age
[10] age,wearing
[10] wearing,global
[10] global,face
[10] face,propaganda
[10] propaganda,period
[10] period,source
[10] source,ianmsc

Top Replied-To
Top Replied-To in Entire Graph:
@gisaid
@salud_na
@educationgovuk
@cdcgov
@blue_ncov
@youyanggu
@z_mutoh
@skynews
@ark999
@daoyu15

Top Replied-To in G1:
@cdcgov
@youyanggu
@tomkatf14
@linseymarr
@sunnyfla2
@carolinecalcote
@lauritafigueroa
@ecdoh
@larmbrust
@opencusdschools

Top Replied-To in G3:
@byuoritter

Top Replied-To in G4:
@who
@nypost
@govwhitmer
@dabush4432

Top Replied-To in G5:
@robinmonotti
@verymoi17
@toni17lopez
@nick_pye
@abirballan
@jenspujol
@christi46847375

Top Replied-To in G6:
@salud_na
@aleexvalero
@zapateroantonio
@carlo_ssssssss
@aplatypus5

Top Replied-To in G7:
@gisaid
@wdraktuell
@phylogenomics
@hpolymenis
@tijnbroekman
@taborjeva

Top Replied-To in G9:
@educationgovuk
@mrshughesh
@askthedogs
@suitableeducat1
@junipertwo
@laylamoran

Top Replied-To in G10:
@gregabbott_tx
@greatbutghetto
@zere_ow
@smith_rob2
@lupinator101
@danielcolclas
@winojanet
@voluntaryonly
@r_walles

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@dloesch
@who
@abirballan
@ibaraki_kouhou
@saludpublicaes
@sanidadgob
@salutcat
@ministeriosalud
@drericding

Top Mentioned in G1:
@cdcgov
@cdcemergency
@surgeon_general
@fema
@femaregion3
@hhsgov
@cdctravel
@cdcdirector
@who
@us_fda

Top Mentioned in G2:
@dloesch

Top Mentioned in G3:
@taro_010
@conceptengager
@haleforthechief
@livet_morange
@bartthompsonoe
@whitesnowrosejp
@nakane273

Top Mentioned in G4:
@who
@cdcgov
@doctorsoumya
@mvankerkhove
@diazjv
@drtedros
@drmikeryan
@gabbystern
@paulogustavo
@govwhitmer

Top Mentioned in G5:
@abirballan
@9thfloor
@robinmonotti
@swifty_s
@pvchema
@kilocurie
@dloesch
@itsandorfi
@navedelmisterio
@ivaningrad

Top Mentioned in G6:
@saludpublicaes
@sanidadgob
@educaciongob
@dgobandalucia
@ernestob
@ajlagarriga
@comunidadmadrid
@manzorro_luisr
@vacunacovides
@opsoms

Top Mentioned in G7:
@nextstrain
@gisaid
@um5rabat
@krisp_news
@rjlessells
@tuliodna
@eduanwilkinson
@esrnewzealand
@mathstorey
@joepdl

Top Mentioned in G8:
@ibaraki_kouhou
@chikusei_city
@tsukubais
@ryugasaki_city
@igarashitatsuo
@yuki_city
@blurmyu

Top Mentioned in G9:
@thealiceroberts
@drzoehyde
@dr2nisreenalwan
@sedgehillsch
@drranj
@educationgovuk
@independentsage
@parents_utd
@cdcgov
@chrisgburns

Top Mentioned in G10:
@gregabbott_tx
@jwspry
@ianmsc
@qaisalazzam3
@abirballan
@leleana
@thrillho22
@johnrobertsfox
@dripligi
@4evernevertrump

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@sectest9
@hjlv2378
@threadreaderapp
@solutioneer72
@llemj
@lopezgovlaw
@languillem
@rjber15
@delta

Top Tweeters in G1:
@solutioneer72
@its_coachb
@princessbibirf_
@phendricks71
@hijcp
@loyalfan1
@rebellegrrl
@sandi_childs
@mtmarilyn2
@adekleine

Top Tweeters in G2:
@tahdeetz
@schwingcat
@cannoneerfour
@jtlol
@joannaprile
@irritatedwoman
@drsue19380
@grizzlyjoeshow
@kaci1951
@jts_1957

Top Tweeters in G3:
@languillem
@delta
@gooochin
@golos_ukraine
@ziromr
@tomo_hiko
@t_dot_lee_phd
@haolethai
@aureliobelandom
@jp_kenchan_dayo

Top Tweeters in G4:
@rjber15
@sherbah46958042
@slimchick1900
@23alzat
@loulachat
@suekhi
@protestmusica
@btzmedina
@dev_discourse
@thestephenralph

Top Tweeters in G5:
@copyofone
@ele9061
@maegan_laporte
@sophieblack2016
@ysbrydshadow
@villaratorules
@neasdenparade
@michaelbranniga
@wealdengirl
@alohaevery1

Top Tweeters in G6:
@llemj
@caval100
@mariaperezpere
@edgardogarciasa
@937908mcm
@demiurgotuiter
@474ntx4
@kiliancd
@juliansmanzano
@laporres

Top Tweeters in G7:
@monbrielle
@marypgkeating
@monasmitte
@emulenews
@kerorrin
@qbk_jitensya
@phylogenomics
@ianmsyme
@wdraktuell
@tu_imss

Top Tweeters in G8:
@shintochigi1
@noel_hasui
@shirayukihime_p
@yasu_osugi
@sgr_kn
@hoshiringo
@yana_3001
@dummyxtweet
@kazubachev
@glasses_meru

Top Tweeters in G9:
@den_fabrizi
@michael_kunz
@olympedegouges
@philrandal
@sweetie_tweeter
@rednorthuk
@bg_grace
@patrickandrews
@ladolcevitaone
@grannywils

Top Tweeters in G10:
@stevekloscak
@rf_jenkins
@usashopper
@havenaar64
@levyloiseau
@newaigreen
@dallasnews
@jwspry
@bluesjack42
@4evernevertrump


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