SARS-NCOV, Twitter, 2/26/2021 4:46:37 PM, 249634


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SARS-NCOV_2021-02-26_03-14-31.xlsx
SARS-NCOV_2021-02-26_03-14-31.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 26, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3bC4mbu
@kenmomd
@cdcgov
@kerorrin
@skatiq3
@nextstrain
@gisaid
@observatorio14
@who
@influenzer3
@covid_19_info_

Top hashtags:
#covid19
#sarscov2
#opendata
#dyk
#coronavirus
#covid
#ncov
#もういらないだろ自民党
#もううんざりだよ自民党
#コロナ

Description:
Description
The graph represents a network of 1,883 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 Friday, 26 February 2021 at 11:17 UTC.

The requested start date was Friday, 26 February 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, 12-hour, 19-minute period from Friday, 12 February 2021 at 01:13 UTC to Thursday, 25 February 2021 at 13:32 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 : 1883
Unique Edges : 1087
Edges With Duplicates : 2016
Total Edges : 3103
Number of Edge Types : 5
Replies to : 239
Mentions : 535
Tweet : 276
Retweet : 900
MentionsInRetweet : 1153
Self-Loops : 284
Reciprocated Vertex Pair Ratio : 0.00222345747637576
Reciprocated Edge Ratio : 0.00443704936217415
Connected Components : 342
Single-Vertex Connected Components : 110
Maximum Vertices in a Connected Component : 521
Maximum Edges in a Connected Component : 1334
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.174003
Graph Density : 0.000508775028881378
Modularity : 0.592804
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,883 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 Friday, 26 February 2021 at 11:17 UTC.

The requested start date was Friday, 26 February 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, 12-hour, 19-minute period from Friday, 12 February 2021 at 01:13 UTC to Thursday, 25 February 2021 at 13:32 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:
[108] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[100] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[98] https://nextstrain.org/ncov
[49] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[35] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.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=
[20] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html
[14] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[11] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[11] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html

Top URLs in Tweet in G1:
[30] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[15] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[9] https://nextstrain.org/ncov
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10170-covid19-36.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
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e506b3e5e2058724d20307d77503059&location_id=4698587505305901794&signature=24bd3a53214b0c713ef8df0779e2a3341e7cf0e2b71beae3dc649a04d3c4fde5
[1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e50774a4d212f347721527d77202f59&location_id=4698587505305901794&signature=19b2b7edb8facc6b2d76fa6fbdea4ff37cac650cabff7cca0f036b8d23baeefa
[1] https://nextstrain.org/groups/neherlab/ncov/S.E484?c=gt-S_484&f_country=China,Japan,South%20Africa,USA,United%20Kingdom,Brazil&lang=ja&r=country&transmissions=show

Top URLs in Tweet in G2:
[35] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[13] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/pooling-procedures.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/global-variant-map.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Proteccion_Trabajadores_SARS-CoV-2.pdf

Top URLs in Tweet in G3:
[88] 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=
[3] https://nextstrain.org/ncov/south-america
[3] https://nextstrain.org/ncov/oceania
[3] https://nextstrain.org/ncov/africa
[3] https://nextstrain.org/sars-cov-2/
[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
[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=2021-02-11&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=2021-02-12&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=2021-02-13&search_in=LD

Top URLs in Tweet in G4:
[1] https://nextstrain.org/ncov/global?fbclid=IwAR0XIrkuNmhqiMLICVRAnXMkVMeyZDiIpGg-7fOmF1kFmTUIea236H9CUeU

Top URLs in Tweet in G5:
[6] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html
[2] https://medical.mit.edu/covid-19-updates/2020/07/do-cloth-masks-work
[2] https://www.mayoclinic.org/diseases-conditions/coronavirus/in-depth/coronavirus-mask/art-20485449
[2] https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-face-masks-what-you-need-to-know
[2] https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent
[2] https://theconversation.com/covid-19-masks-faqs-how-can-cloth-stop-a-tiny-virus-whats-the-best-fabric-do-they-protect-the-wearer-146822
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/genomic-surveillance-dashboard.html

Top URLs in Tweet in G6:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-AZD1222-2021.1/
[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
[1] https://www.who.int/ar/news/item/26-06-1442-covax-statement-on-new-variants-of-sars-cov-2
[1] https://www.who.int/news/item/08-02-2021-covax-statement-on-new-variants-of-sars-cov-2

Top URLs in Tweet in G7:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html

Top URLs in Tweet in G8:
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/variant-info.html
[1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160

Top URLs in Tweet in G9:
[3] https://en.nhandan.org.vn/society/item/8380802-vietnam-confident-in-treating-ncov-infections-successfully-health-official.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/late-sequelae.html
[1] https://twitter.com/zeynep/status/1360984854200999943

Top URLs in Tweet in G10:
[31] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[5] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10144-covid19-34.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10174-covid19-37.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html
[1] https://twitter.com/COVID_19_Info_/status/1354311424575631364
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[1] https://nextstrain.org/ncov

Top Domains
Top Domains in Tweet in Entire Graph:
[258] cdc.gov
[199] go.jp
[125] nextstrain.org
[48] scholarsportal.info
[20] publichealthontario.ca
[19] who.int
[17] twitter.com
[14] africacdc.org
[11] gob.es
[8] nih.gov

Top Domains in Tweet in G1:
[50] go.jp
[11] nextstrain.org
[2] ne.jp
[1] or.jp

Top Domains in Tweet in G2:
[56] go.jp
[33] cdc.gov
[9] twitter.com
[4] ne.jp
[4] gob.es
[3] who.int
[2] nature.com
[2] flutrackers.com
[2] africacdc.org
[2] nextstrain.org

Top Domains in Tweet in G3:
[103] nextstrain.org
[48] scholarsportal.info
[2] go.jp
[1] github.com

Top Domains in Tweet in G4:
[1] nextstrain.org

Top Domains in Tweet in G5:
[21] cdc.gov
[2] mit.edu
[2] mayoclinic.org
[2] hopkinsmedicine.org
[2] ucsf.edu
[2] theconversation.com
[1] nih.gov
[1] nature.com
[1] medixinhaler.com

Top Domains in Tweet in G6:
[5] who.int
[3] cdc.gov

Top Domains in Tweet in G7:
[2] cdc.gov

Top Domains in Tweet in G8:
[4] cdc.gov
[1] ssrn.com

Top Domains in Tweet in G9:
[3] org.vn
[1] cdc.gov
[1] twitter.com

Top Domains in Tweet in G10:
[43] go.jp
[1] twitter.com
[1] nextstrain.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[176] covid19
[148] sarscov2
[98] opendata
[47] dyk
[32] coronavirus
[30] covid
[29] ncov
[28] もういらないだろ自民党
[28] もううんざりだよ自民党
[28] コロナ



Top Hashtags in Tweet in G1:
[9] opendata
[9] covid19
[9] sarscov2

Top Hashtags in Tweet in G2:
[4] covid19
[2] prl
[1] medtwitter
[1] covidtiptuesday
[1] happy1242
[1] pinoys
[1] philippines
[1] medical
[1] groupzirigoza
[1] duqueinepto

Top Hashtags in Tweet in G3:
[127] sarscov2
[112] covid19
[88] opendata
[4] phylogenic
[4] sars_cov_2
[3] genome
[2] mutations
[2] covid_19
[2] europe
[1] dyk

Top Hashtags in Tweet in G5:
[46] dyk
[3] covid19

Top Hashtags in Tweet in G6:
[11] sarscov2
[1] covid19

Top Hashtags in Tweet in G8:
[4] covid19
[1] covid

Top Hashtags in Tweet in G9:
[1] sars_cov_2
[1] coronavirus
[1] covid19

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

Top Words
Top Words in Tweet in Entire Graph:
[865] sars
[753] cov
[289] 新型コロナウイルス
[286] 感染
[283] 伝播性の増加や抗原性の変化が懸念される
[223] ncov
[196] 19
[190] covid
[176] #covid19
[171] の新規変異株について

Top Words in Tweet in G1:
[207] cov
[171] sars
[170] 感染
[170] 伝播性の増加や抗原性の変化が懸念される
[170] 新型コロナウイルス
[123] kenmomd
[107] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね
[107] 中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と
[106] の新規変異株に
[64] の新規変異株について

Top Words in Tweet in G2:
[110] cov
[104] sars
[39] の新規変異株について
[38] 感染
[37] 第6報
[36] 伝播性の増加や抗原性の変化が懸念される
[36] 新型コロナウイルス
[26] ncov
[23] 19
[15] cdc

Top Words in Tweet in G3:
[127] #sarscov2
[112] #covid19
[98] thanks
[96] sequences
[93] nextstrain
[88] #opendata
[88] sharing
[88] gisaid
[88] updated
[78] covid

Top Words in Tweet in G4:
[98] tutte
[97] sito
[97] varianti
[97] conosciute
[97] finora
[97] sars
[97] cov2
[97] capire
[97] razza
[97] follia

Top Words in Tweet in G5:
[78] cdcgov
[72] sars
[64] cov
[56] virus
[53] national
[53] strain
[53] surveillance
[53] program
[50] cdc
[48] variants

Top Words in Tweet in G6:
[47] disease
[45] ncov
[45] named
[44] today
[44] anniversary
[44] coronavirus
[44] stopped
[44] being
[44] called
[44] 2019

Top Words in Tweet in G7:
[2] secretlyakat
[2] block
[2] droplets
[2] microns

Top Words in Tweet in G8:
[41] sars
[41] cov
[38] 19
[37] thelancet
[37] eficacia
[37] chadox1
[37] ncov
[37] frente
[36] aparece
[36] preprint

Top Words in Tweet in G9:
[32] sars
[32] peter
[32] one
[31] year
[31] ago
[31] gave
[31] talk
[31] emerging
[31] pandemic
[31] crown

Top Words in Tweet in G10:
[45] cov
[40] 国立感染症研究所
[40] sars
[39] 感染
[39] 伝播性の増加や抗原性の変化が懸念される
[39] 新型コロナウイルス
[36] の新規変異株について
[31] 第6報
[23] 2月12日
[23] かなりまとまってます

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[653] sars,cov
[285] 新型コロナウイルス,sars
[283] 感染,伝播性の増加や抗原性の変化が懸念される
[283] 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
[171] cov,の新規変異株について
[122] #covid19,#sarscov2
[121] の新規変異株について,第6報
[117] covid,19
[113] sars,cov2
[109] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね,中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と

Top Word Pairs in Tweet in G1:
[171] sars,cov
[170] 感染,伝播性の増加や抗原性の変化が懸念される
[170] 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
[170] 新型コロナウイルス,sars
[107] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね,中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と
[107] 中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と,感染
[106] kenmomd,あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね
[106] cov,の新規変異株に
[64] cov,の新規変異株について
[39] カリフォルニアで急増中とされている,cal

Top Word Pairs in Tweet in G2:
[92] sars,cov
[39] cov,の新規変異株について
[36] 感染,伝播性の増加や抗原性の変化が懸念される
[36] 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
[36] 新型コロナウイルス,sars
[36] の新規変異株について,第6報
[15] 新型コロナウイルスsars,cov
[13] covid,19
[13] cov,spikeタンパク質
[13] spikeタンパク質,e484k変異を有するb

Top Word Pairs in Tweet in G3:
[112] #covid19,#sarscov2
[88] thanks,#opendata
[88] #opendata,sharing
[88] sharing,gisaid
[78] nextstrain,thanks
[77] gisaid,we've
[77] we've,updated
[74] #sarscov2,sequences
[51] covid,19
[51] scholars,portal

Top Word Pairs in Tweet in G4:
[97] sito,tutte
[97] tutte,varianti
[97] varianti,conosciute
[97] conosciute,finora
[97] finora,sars
[97] sars,cov2
[97] cov2,capire
[97] capire,razza
[97] razza,follia
[97] follia,rappresenti

Top Word Pairs in Tweet in G5:
[64] sars,cov
[53] national,sars
[53] cov,strain
[53] strain,surveillance
[53] surveillance,program
[46] #dyk,cdc
[46] cdc,uses
[46] uses,national
[46] program,detect
[46] detect,monitor

Top Word Pairs in Tweet in G6:
[44] today,anniversary
[44] anniversary,coronavirus
[44] coronavirus,stopped
[44] stopped,being
[44] being,called
[44] called,2019
[44] 2019,ncov
[44] ncov,named
[44] named,disease
[43] helenbranswell,today

Top Word Pairs in Tweet in G8:
[41] sars,cov
[37] chadox1,ncov
[37] ncov,19
[36] aparece,preprint
[36] preprint,thelancet
[36] thelancet,eficacia
[36] eficacia,chadox1
[36] 19,frente
[36] frente,variante
[36] variante,sars

Top Word Pairs in Tweet in G9:
[31] one,year
[31] year,ago
[31] talk,emerging
[31] emerging,pandemic
[31] crown,season
[31] season,referring
[31] referring,sars
[30] ago,today
[30] today,peter
[30] peter,gave

Top Word Pairs in Tweet in G10:
[40] sars,cov
[39] 感染,伝播性の増加や抗原性の変化が懸念される
[39] 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
[39] 新型コロナウイルス,sars
[36] cov,の新規変異株について
[31] の新規変異株について,第6報
[23] 第6報,2月12日
[23] 2月12日,国立感染症研究所
[23] 国立感染症研究所,かなりまとまってます
[22] earl_covid19_tw,感染

Top Replied-To
Top Replied-To in Entire Graph:
@666_pablo_666
@isabeloakeshott
@falseprophetflm
@mainichi
@willgsmith1
@senatorromney
@merja_rantala
@_mickydicky
@alohasnackbar09
@sundaytimesza

Top Replied-To in G1:
@derive_ip

Top Replied-To in G3:
@maestro_rayo

Top Replied-To in G5:
@sporkin8or
@dianaavilacuad
@requenajamonero
@cdcemergency
@adamjkrejci
@disinfector
@averyryla
@cdcgov
@dirigoduke

Top Replied-To in G6:
@falseprophetflm
@who
@10downingstreet

Top Replied-To in G7:
@raginxcajun
@__coryd__

Top Replied-To in G8:
@catcheronthesly

Top Replied-To in G9:
@yaneerbaryam
@zeynep

Top Replied-To in G10:
@hermit_crab_19

Top Mentioned
Top Mentioned in Entire Graph:
@kenmomd
@nextstrain
@gisaid
@lameduck1960
@cdcgov
@who
@helenbranswell
@influenzer3
@thelancet
@alvarezmorenoc

Top Mentioned in G1:
@kenmomd
@influenzer3
@nextstrain
@gisaid
@twremcat
@keyaki1117
@takainou_0907
@love_nihonsyu
@tbm4_jp
@morinaika

Top Mentioned in G3:
@nextstrain
@gisaid
@scholarsportal
@imtspusp
@rivm
@ufsweb
@lebamuniv
@q_nationaltaiwa
@nmimr_ug
@giga_uliege

Top Mentioned in G4:
@lameduck1960

Top Mentioned in G5:
@cdcgov
@globalphobserv
@drjenndowd
@chhcs
@jacksoncamp99
@twittermoments
@thisalextin
@adslcadiz
@yudytagp
@who

Top Mentioned in G6:
@who
@helenbranswell
@mvankerkhove
@whoemro
@rickd65820701
@g7
@cepivaccines

Top Mentioned in G7:
@secretlyakat
@sinner_lilith
@ziggystardad
@medwoman1
@_farrahmoody
@jdw714
@jdd2169
@_kel_varnsen_
@cc_codyscanine
@ladyoftheocean1

Top Mentioned in G8:
@thelancet
@alvarezmorenoc
@catiacilloniz
@mkvenu1
@merrynvoysey

Top Mentioned in G9:
@eidgeek
@tigressellie
@pauldigiacomo
@yaneerbaryam
@zeynep

Top Mentioned in G10:
@earl_covid19_tw
@covid_19_info_
@kenmomd
@nextstrain
@gisaid
@doraemon0349

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@myfavoritescene
@tokoroten510
@threadreaderapp
@ecodaren
@tommybrain
@matiere
@solutioneer72
@lopezgovlaw
@sosorasora3

Top Tweeters in G1:
@ecodaren
@sosorasora3
@citrus_kyoto
@cao58020
@noriesun
@chiemma44
@cordwainerscat
@uchida_kawasaki
@yunishio
@sayori27

Top Tweeters in G2:
@covanekosuki
@gooochin
@didaclopez
@cheva
@pfanderson
@peko409
@ariel_scebai
@higesan39
@rhb4
@fuji762

Top Tweeters in G3:
@matiere
@viralvideovlogs
@sandoly
@mig30m6
@anonomouse1981
@____roar____
@howling18
@antifadisabled
@martinjcowling
@mgmglobal

Top Tweeters in G4:
@tommybrain
@ponytaele
@zioklint
@annamariacastel
@enki2270
@atestaltasempre
@quaranta_vito
@efisio31251859
@loren_ch
@caterinacorda1

Top Tweeters in G5:
@solutioneer72
@wadakashiho
@demiurgotuiter
@epuujee
@omi_082
@chickilopiccolo
@celestebyrne3
@saludhealthinfo
@monitor_ph
@kate_is_rising

Top Tweeters in G6:
@padakitty
@lizditz
@cnbsnana
@panthergodbast
@rebels2008
@pkanagaratnam
@euphoriceuler
@mistercreek
@cristo_monte
@kraus_read

Top Tweeters in G7:
@rickysi16087724
@vickie627
@ladyoftheocean1
@medwoman1
@politicspot
@jencages
@ziggystardad
@merry_hippie
@qdecoder
@prince3eb

Top Tweeters in G8:
@jorgearestrepo
@ccamargo923
@thomasmmr
@josefesar
@irlandamaya
@patrici11498444
@camilossierrao
@odpdh
@mejia_bf
@ricardoargaca

Top Tweeters in G9:
@tadrow
@itswanda
@owenblacker
@octagot
@karmel80
@erinofalaska
@metalrabbit13
@donaldjudge
@dave_cochran
@convsys

Top Tweeters in G10:
@tokoroten510
@terako_123
@dr_rasukaru
@a_ssann
@h_iro_123
@flow07makemake
@nonmomi
@horseplayer_jp
@kerorrin
@090_0455


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