SARS-NCOV, Twitter, 3/8/2021 8:38:54 AM, 250331


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SARS-NCOV_2021-03-07_04-21-49.xlsx
SARS-NCOV_2021-03-07_04-21-49.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 08, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/38klxNO
@gisaid
@who
@logicalknot
@cepivaccines
@cdcgov
@nextstrain
@jeremyfarrar
@marionkoopmans
@observatorio14
@syawal

Top hashtags:
#covid19
#sarscov2
#opendata
#ncov
#coronavirus
#sars
#corona
#covid
#novel
#breaking

Description:
Description
The graph represents a network of 1,730 Twitter users whose tweets in the requested range contained "SARS-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 12:23 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 13-day, 23-hour, 12-minute period from Saturday, 20 February 2021 at 01:23 UTC to Saturday, 06 March 2021 at 00:35 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 : 1730
Unique Edges : 1277
Edges With Duplicates : 999
Total Edges : 2276
Number of Edge Types : 5
Replies to : 360
Mentions : 811
Tweet : 194
MentionsInRetweet : 551
Retweet : 360
Self-Loops : 204
Reciprocated Vertex Pair Ratio : 0.00451904454486766
Reciprocated Edge Ratio : 0.0089974293059126
Connected Components : 357
Single-Vertex Connected Components : 80
Maximum Vertices in a Connected Component : 253
Maximum Edges in a Connected Component : 655
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.0657
Graph Density : 0.000520197782138762
Modularity : 0.693551
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,730 Twitter users whose tweets in the requested range contained "SARS-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 12:23 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 13-day, 23-hour, 12-minute period from Saturday, 20 February 2021 at 01:23 UTC to Saturday, 06 March 2021 at 00:35 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 : SARS-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:
[196] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[100] https://nextstrain.org/ncov
[49] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[34] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[24] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[19] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[10] https://www.pnas.org/content/118/4/e2014564118
[9] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-02801-8
[8] https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent

Top URLs in Tweet in G1:
[98] https://nextstrain.org/ncov
[24] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[6] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[5] https://nextstrain.org/ncov/africa
[3] https://nextstrain.org/ncov/south-america
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-03-04&search_in=LD
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-19&search_in=LD
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-20&search_in=LD
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-22&search_in=LD
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-02-23&search_in=LD

Top URLs in Tweet in G2:
[19] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[3] https://www.pnas.org/content/118/4/e2014564118
[1] https://www.ecdc.europa.eu/sites/default/files/documents/covid-19-face-masks-community-first-update.pdf
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191114/
[1] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-covid-19-masks
[1] https://twitter.com/KBTXRusty/status/1366838417594732548

Top URLs in Tweet in G3:
[14] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[7] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[4] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Proteccion_Trabajadores_SARS-CoV-2.pdf
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/AnexoIIpaises-yzonasderiesgo_entre01032021y14032021.pdf
[2] https://nextstrain.org/ncov/global
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top URLs in Tweet in G4:
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top URLs in Tweet in G5:
[1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160

Top URLs in Tweet in G6:
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html#:~:text=Airborne%20transmission%20is%20infection%20spread,and%20time%20(typically%20hours)
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.theguardian.com/world/2020/sep/30/germans-embrace-fresh-air-to-ward-off-coronavirus
[1] https://www3.nhk.or.jp/nhkworld/en/news/ataglance/844/
[1] http://www.asahi.com/ajw/articles/13581921
[1] https://virological.org/t/genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-manaus-preliminary-findings/586
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-genomic-sequencing-GISRS-2021.1
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G7:
[3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/genomic-surveillance-dashboard.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/index.html
[2] https://digiphile.info/2020/07/06/politicizing-wearing-masks-cost-american-lives-and-jobs/
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[1] https://twitter.com/brianklaas/status/1367220144410361862
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/pediatric-hcp.html#:~:text=The%20most%20common%20symptoms%20in%20children%20are%20cough%20and%2For%20fever.&text=A%20recent%20systematic%20review%20estimated,pediatric%20infections%20may%20be%20asymptomatic
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-healthcare-personnel.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://twitter.com/briancolder/status/1365156654522789893

Top URLs in Tweet in G8:
[1] https://medium.com/@yurideigin/lab-made-cov2-genealogy-through-the-lens-of-gain-of-function-research-f96dd7413748
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033706/

Top URLs in Tweet in G9:
[1] https://www.nfid.org/infectious-diseases/norovirus/
[1] https://biology.illinoisstate.edu/wanicho/bsc361/lectures/27Coronaviruses%20and%20Norovir.htm
[1] https://www.medicago.com/en/pipeline/
[1] https://wlos.com/news/news-13-investigates/does-having-norovirus-set-up-immunity-to-coronaviruscovid-19
[1] https://www.microbiologyresearch.org/content/coronaviruses
[1] https://www.medicalnewstoday.com/articles/256521
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html

Top URLs in Tweet in G10:
[18] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html
[2] https://nextstrain.org/ncov
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10174-covid19-37.html
[1] https://search.jamas.or.jp/api/opensearch?q=SARS%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9-2/TH%20or%20%22%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9%E6%80%A5%E6%80%A7%E5%91%BC%E5%90%B8%E5%99%A8%E7%96%BE%E6%82%A3(2019-nCoV)%22/TH%20or%20COVID-19/AL%20or%20(%E3%82%B3%E3%83%AD%E3%83%8A/TA%20and%20DT=2020

Top Domains
Top Domains in Tweet in Entire Graph:
[341] cdc.gov
[123] nextstrain.org
[70] go.jp
[48] scholarsportal.info
[25] nih.gov
[19] twitter.com
[12] nature.com
[12] pnas.org
[12] who.int
[11] gob.es

Top Domains in Tweet in G1:
[110] nextstrain.org
[48] scholarsportal.info
[7] go.jp
[1] github.com
[1] insdc.org
[1] covid19dataportal.org
[1] nih.gov
[1] ac.jp
[1] ac.cn

Top Domains in Tweet in G2:
[19] cdc.gov
[3] pnas.org
[1] europa.eu
[1] nih.gov
[1] who.int
[1] twitter.com

Top Domains in Tweet in G3:
[26] go.jp
[24] cdc.gov
[10] twitter.com
[7] gob.es
[6] nextstrain.org
[5] elsevierhealth.com
[4] africacdc.org
[2] clinicaltrials.gov
[2] nih.gov
[2] koronavirus-ncov.ru

Top Domains in Tweet in G4:
[4] cdc.gov

Top Domains in Tweet in G5:
[1] ssrn.com

Top Domains in Tweet in G6:
[8] cdc.gov
[1] theguardian.com
[1] or.jp
[1] asahi.com
[1] virological.org
[1] who.int

Top Domains in Tweet in G7:
[12] cdc.gov
[2] digiphile.info
[2] twitter.com

Top Domains in Tweet in G8:
[1] medium.com
[1] nih.gov

Top Domains in Tweet in G9:
[1] nfid.org
[1] illinoisstate.edu
[1] medicago.com
[1] wlos.com
[1] microbiologyresearch.org
[1] medicalnewstoday.com
[1] cdc.gov

Top Domains in Tweet in G10:
[23] go.jp
[2] nextstrain.org
[1] or.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[165] covid19
[156] sarscov2
[100] opendata
[24] ncov
[20] coronavirus
[20] sars
[17] corona
[15] covid
[13] novel
[12] breaking



Top Hashtags in Tweet in G1:
[145] sarscov2
[122] covid19
[98] opendata

Top Hashtags in Tweet in G3:
[4] covid19
[2] corona
[1] sars
[1] cov2
[1] ncov
[1] virology
[1] gainoffunction
[1] gof
[1] wuhan
[1] dkpol

Top Hashtags in Tweet in G5:
[1] covid

Top Hashtags in Tweet in G6:
[2] sarscov2
[1] covid19
[1] freshair

Top Hashtags in Tweet in G7:
[3] dyk
[3] covid19
[1] sarscov2

Top Hashtags in Tweet in G8:
[1] covid19
[1] sars
[1] cov2
[1] ncov
[1] virology
[1] gainoffunction
[1] gof
[1] wuhan
[1] wiv

Top Hashtags in Tweet in G10:
[2] opendata
[2] covid19
[2] sarscov2

Top Words
Top Words in Tweet in Entire Graph:
[421] sars
[389] cov
[167] 19
[165] #covid19
[157] covid
[156] #sarscov2
[147] ncov
[134] æ
[123] ç
[120] updated

Top Words in Tweet in G1:
[145] #sarscov2
[122] #covid19
[113] nextstrain
[109] thanks
[100] gisaid
[98] #opendata
[98] sharing
[98] updated
[92] sequences
[88] we've

Top Words in Tweet in G2:
[19] gregabbott_tx
[11] masks
[5] science
[5] cdc
[4] wearing
[3] more
[3] effective
[3] scientific
[3] rancidginger
[3] spread

Top Words in Tweet in G3:
[79] sars
[72] cov
[30] ncov
[23] 19
[18] æ
[15] covid
[14] 新型コロナウイルス
[13] 感染
[13] 伝播性の増加や抗原性の変化が懸念される
[13] の新規変異株について

Top Words in Tweet in G4:
[3] masks
[2] __coryd__
[2] jhaskinscabrera
[2] well
[2] covid
[2] cdc
[2] secretlyakat
[2] block
[2] droplets
[2] microns

Top Words in Tweet in G5:
[39] 19
[38] thelancet
[38] eficacia
[38] chadox1
[38] ncov
[38] frente
[38] sars
[38] cov
[37] aparece
[37] preprint

Top Words in Tweet in G6:
[34] sars
[33] cov
[19] genomic
[16] mvankerkhove
[16] characterisation
[16] emergent
[16] lineage
[16] manaus
[16] preliminary
[16] findings

Top Words in Tweet in G7:
[29] cdcgov
[24] sars
[24] cov
[16] national
[15] cases
[15] sequences
[14] those
[14] confirmed
[13] updated
[13] genomic

Top Words in Tweet in G8:
[12] ydeigin
[11] cov
[10] sars
[9] virus
[9] well
[8] hear
[8] anyone
[8] claim
[8] know
[8] come

Top Words in Tweet in G9:
[25] gt
[17] aka
[11] ncov
[10] sars_cov_2
[8] corona
[7] covid
[6] virus
[6] 19
[6] 20
[6] 21

Top Words in Tweet in G10:
[22] cov
[17] 新型コロナウイルスsars
[17] spikeタンパク質
[17] e484k変異を有するb
[17] 316系統の国内流入
[17] 2021年2月2日現在
[17] 2020年3
[17] 4月
[17] 欧州系統
[17] 114

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[335] sars,cov
[124] #covid19,#sarscov2
[100] thanks,#opendata
[100] #opendata,sharing
[100] sharing,gisaid
[99] covid,19
[90] gisaid,we've
[90] we've,updated
[89] nextstrain,thanks
[65] #sarscov2,sequences

Top Word Pairs in Tweet in G1:
[122] #covid19,#sarscov2
[98] thanks,#opendata
[98] #opendata,sharing
[98] sharing,gisaid
[88] gisaid,we've
[88] we've,updated
[87] nextstrain,thanks
[64] #sarscov2,sequences
[52] covid,19
[52] scholars,portal

Top Word Pairs in Tweet in G2:
[3] rancidginger,gregabbott_tx
[2] wearing,masks
[2] cdc,website
[2] co_hawk1,rancidginger
[2] gregabbott_tx,dropped
[2] dropped,school
[2] school,huh
[2] huh,scientific
[2] scientific,brief
[2] brief,community

Top Word Pairs in Tweet in G3:
[60] sars,cov
[13] 感染,伝播性の増加や抗原性の変化が懸念される
[13] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス
[13] 新型コロナウイルス,sars
[13] cov,の新規変異株について
[12] の新規変異株について,第6報
[12] covid,19
[10] 2019,ncov
[9] chadox1,ncov
[9] ncov,19

Top Word Pairs in Tweet in G5:
[38] chadox1,ncov
[38] ncov,19
[38] sars,cov
[37] aparece,preprint
[37] preprint,thelancet
[37] thelancet,eficacia
[37] eficacia,chadox1
[37] 19,frente
[37] frente,variante
[37] variante,sars

Top Word Pairs in Tweet in G6:
[33] sars,cov
[16] genomic,characterisation
[16] characterisation,emergent
[16] emergent,sars
[16] cov,lineage
[16] lineage,manaus
[16] manaus,preliminary
[16] preliminary,findings
[16] findings,sars
[16] cov,coronavirus

Top Word Pairs in Tweet in G7:
[24] sars,cov
[16] national,sars
[13] cdcgov,updated
[13] updated,national
[13] cov,genomic
[13] genomic,sequencing
[13] sequencing,dashboard
[13] dashboard,include
[13] include,those
[13] those,sequences

Top Word Pairs in Tweet in G8:
[10] sars,cov
[8] hear,anyone
[8] anyone,claim
[8] know,virus
[8] buy,well
[8] well,labs
[8] labs,around
[8] around,globe
[7] ydeigin,hear
[6] claim,know

Top Word Pairs in Tweet in G9:
[9] sars_cov_2,aka
[8] aka,ncov
[6] corona,virus
[6] ncov,aka
[6] aka,covid
[6] gt,gt
[6] 20,21
[5] covid,19
[5] 19,20
[4] virus,family

Top Word Pairs in Tweet in G10:
[17] 新型コロナウイルスsars,cov
[17] cov,spikeタンパク質
[17] spikeタンパク質,e484k変異を有するb
[17] e484k変異を有するb,316系統の国内流入
[17] 316系統の国内流入,2021年2月2日現在
[17] 2021年2月2日現在,2020年3
[17] 2020年3,4月
[17] 4月,欧州系統
[17] 欧州系統,114
[16] kenmomd,新型コロナウイルスsars

Top Replied-To
Top Replied-To in Entire Graph:
@stoplyingaboutm
@sense_strand
@khefferon
@boltsmvp
@jackytreeh0rn
@1wobblybob
@metal_man0201
@_huneygurl_
@zumitropi
@marcusp11

Top Replied-To in G1:
@harryspoelstra
@cepivaccines

Top Replied-To in G2:
@greatbutghetto
@zere_ow
@smith_rob2
@dieselbear_7785
@tard545540261
@pizzaboyparty
@ernestaallen01
@howpromote
@tccbacker44
@voluntaryonly

Top Replied-To in G4:
@__coryd__
@ojavuo_tuula
@raginxcajun

Top Replied-To in G5:
@catcheronthesly

Top Replied-To in G6:
@falseprophetflm
@drkhorsk
@k3books
@who
@vin_dj
@requenajamonero
@dianaavilacuad
@10downingstreet

Top Replied-To in G7:
@cdcgov
@fercilidad
@sporkin8or

Top Replied-To in G8:
@sense_strand
@monarahalkar
@ydeigin
@braidedmanga

Top Replied-To in G9:
@khefferon
@sundaytimesza
@bobtiki
@naomirwolf
@rinmor
@jasperlionel
@ianmaher7
@nutradvance
@gearoidmuar
@im37895300

Top Replied-To in G10:
@mopedojisant

Top Mentioned
Top Mentioned in Entire Graph:
@nextstrain
@gisaid
@thelancet
@alvarezmorenoc
@cdcgov
@gregabbott_tx
@kenmomd
@mvankerkhove
@tolgaozcelkk90
@aphl

Top Mentioned in G1:
@nextstrain
@gisaid
@love_nihonsyu
@scholarsportal
@um5rabat
@doctorsoumya
@drtedros
@jeremyfarrar
@influenzer3
@krisp_news

Top Mentioned in G2:
@gregabbott_tx
@rancidginger
@co_hawk1
@thrillho22
@dripligi
@4evernevertrump
@rebeccamccoy
@wissamazma
@milldog13
@annscott59

Top Mentioned in G3:
@ipatrioticmom2

Top Mentioned in G4:
@jhaskinscabrera
@secretlyakat
@badmojo9
@ezmerelada
@opdracula
@bombatruth
@sinner_lilith
@ziggystardad
@medwoman1

Top Mentioned in G5:
@thelancet
@alvarezmorenoc
@mkvenu1
@merrynvoysey

Top Mentioned in G6:
@mvankerkhove
@who
@cdcgov
@rickd65820701
@kamarulbahrin
@drmusanordin
@dr_asinghr
@sexcounseling
@10downingstreet
@vicrive20

Top Mentioned in G7:
@cdcgov
@aphl
@scottjbecker
@drjenndowd
@randersb
@johncornyn
@rodrigolobos
@fercilidad
@digiphile
@covidisairborne

Top Mentioned in G8:
@ydeigin
@kevin_mckernan
@wwakeuptime
@perpetualvalue
@antgduarte
@bidolinicola
@monarahalkar
@drnickb_obanaes
@laymansscience
@olfurni

Top Mentioned in G9:
@pommedapie59
@woolworths_sa
@muhledd
@johnedwards33
@pltc_pastlives
@jasperlionel
@errolbsk
@rleas
@gearoidmuar
@nutradvance

Top Mentioned in G10:
@kenmomd
@covid_19_info_
@nextstrain
@gisaid

Top Tweeters
Top Tweeters in Entire Graph:
@matiere
@lopezgovlaw
@thehill
@noriesun
@yochan87
@cordwainerscat
@latinculos
@el_pais
@viralvideovlogs
@suekhi

Top Tweeters in G1:
@matiere
@cordwainerscat
@viralvideovlogs
@mig30m6
@anonomouse1981
@revjunjihiguchi
@howling18
@antifadisabled
@tomo6216jp
@joannekarma

Top Tweeters in G2:
@atirandomness
@4evernevertrump
@danicalbarnett
@michaelmcelmury
@voluntaryonly
@ever_persisting
@schuuuuuler
@leleana
@juanchoreal99
@lvl25magikarp

Top Tweeters in G3:
@didaclopez
@pfanderson
@0naganuma
@vero_mier
@redundantuk
@memofwd
@piccolo_daimaou
@sarasotamermaid
@kuma_kichi_1q63
@rikki_312

Top Tweeters in G4:
@rickysi16087724
@vickie627
@ladyoftheocean1
@medwoman1
@politicspot
@jencages
@ziggystardad
@merry_hippie
@qdecoder
@prince3eb

Top Tweeters in G5:
@jorgearestrepo
@ccamargo923
@josefesar
@irlandamaya
@patrici11498444
@camilossierrao
@odpdh
@mejia_bf
@ricardoargaca
@pulmonology101

Top Tweeters in G6:
@valenciaplaza
@syawal
@k3books
@observatorio14
@guitarcafe
@bakom_skynket
@jwiechers
@sexcounseling
@kamarulbahrin
@who

Top Tweeters in G7:
@demiurgotuiter
@aztanya
@sharon_lynch
@fercilidad
@digiphile
@nlitenmebabe
@davidflsts
@santacruzana
@twittermoments
@randersb

Top Tweeters in G8:
@diggrich_
@real_adam_b
@celticfanzone
@patricksavalle
@emmaliena45
@_hoeman
@woofcoast
@aliveritas1
@jeremyrhammond
@angelifrankie

Top Tweeters in G9:
@rleas
@kenn_ffci
@rinmor
@bobtiki
@woolworths_sa
@errolbsk
@naomirwolf
@sundaytimesza
@johnedwards33
@pltc_pastlives

Top Tweeters in G10:
@noriesun
@araran100
@garmy
@kerorrin
@pingue7
@nekodaisukigo
@ikkymonkey0804
@cocoroncoc
@covid19_alerts
@chuo201azusa189


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