SARS-NCOV, Twitter, 2/23/2021 4:06:19 PM, 249457


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SARS-NCOV_2021-02-23_03-42-45.xlsx
SARS-NCOV_2021-02-23_03-42-45.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 23, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3qOkLA3
@who
@kenmomd
@nextstrain
@james__glen
@kerorrin
@cdcgov
@kenn_ffci
@jnkengasong
@sophie_mokoena
@observatorio14

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

Description:
Description
The graph represents a network of 2,072 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 Tuesday, 23 February 2021 at 11:45 UTC.

The requested start date was Tuesday, 23 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, 11-hour, 25-minute period from Tuesday, 09 February 2021 at 02:18 UTC to Monday, 22 February 2021 at 13:43 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 : 2072
Unique Edges : 1227
Edges With Duplicates : 2264
Total Edges : 3491
Number of Edge Types : 5
Retweet : 1010
MentionsInRetweet : 1307
Mentions : 630
Replies to : 246
Tweet : 298
Self-Loops : 308
Reciprocated Vertex Pair Ratio : 0.00294695481335953
Reciprocated Edge Ratio : 0.00587659157688541
Connected Components : 347
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 632
Maximum Edges in a Connected Component : 1642
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.069144
Graph Density : 0.000475867327629761
Modularity : 0.593799
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,072 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 Tuesday, 23 February 2021 at 11:45 UTC.

The requested start date was Tuesday, 23 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, 11-hour, 25-minute period from Tuesday, 09 February 2021 at 02:18 UTC to Monday, 22 February 2021 at 13:43 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:
[112] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[106] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[104] https://nextstrain.org/ncov
[47] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html
[39] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[26] 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=
[14] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[12] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[11] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10144-covid19-34.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
[10] 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://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://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[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:
[33] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[11] 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/scientific-brief-sars-cov-2.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/20210208_Variantes_de_SARS-CoV-2_en_Espana.pdf
[2] https://www.mscbs.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/20210208_Variantes_de_SARS-CoV-2_en_Espana.pdf
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[2] https://www.sciencedirect.com/science/article/pii/S0140673620326611

Top URLs in Tweet in G3:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[2] https://engineering.jhu.edu/case/faculty/lauren-gardner/
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-genomic-sequencing-GISRS-2021.1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-mother-to-child-transmission-2021.1
[1] https://nextstrain.org/sars-cov-2/
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-mother-to-child-transmission-2021.1#.YCPL5aQa3hc.twitter
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-mother-to-child-transmission-2021.1
[1] https://systems.jhu.edu/research/public-health/ncov/

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

Top URLs in Tweet in G6:
[7] 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 G7:
[94] https://nextstrain.org/ncov
[26] 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=
[4] https://nextstrain.org/ncov/oceania
[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=2021-02-20&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=2021-02-08&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=2021-02-09&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=2021-02-10&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

Top URLs in Tweet in G8:
[7] https://africacdc.org/download/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[3] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/
[1] https://twitter.com/JNkengasong/status/1359817745026736137

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:
[37] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html

Top Domains
Top Domains in Tweet in Entire Graph:
[296] cdc.gov
[199] go.jp
[139] nextstrain.org
[52] scholarsportal.info
[31] who.int
[21] publichealthontario.ca
[20] africacdc.org
[17] twitter.com
[12] gob.es
[8] nih.gov

Top Domains in Tweet in G1:
[50] go.jp
[13] nextstrain.org
[2] ne.jp
[1] publichealthontario.ca

Top Domains in Tweet in G2:
[55] go.jp
[36] cdc.gov
[9] twitter.com
[7] who.int
[6] nextstrain.org
[6] gob.es
[4] ne.jp
[3] africacdc.org
[2] vitalmedi.de
[2] sciencedirect.com

Top Domains in Tweet in G3:
[5] cdc.gov
[4] who.int
[3] jhu.edu
[1] nextstrain.org

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

Top Domains in Tweet in G5:
[1] nextstrain.org

Top Domains in Tweet in G6:
[23] 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
[1] who.int

Top Domains in Tweet in G7:
[109] nextstrain.org
[52] scholarsportal.info
[3] go.jp

Top Domains in Tweet in G8:
[10] africacdc.org
[1] twitter.com

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

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[199] covid19
[141] sarscov2
[104] opendata
[46] dyk
[40] covid
[39] coronavirus
[33] ncov
[29] sars
[28] もういらないだろ自民党
[28] もううんざりだよ自民党



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

Top Hashtags in Tweet in G2:
[7] covid19
[3] sars
[2] coronavirus
[2] privatperson
[2] pandemie
[2] coronatest
[2] testkonzept
[2] quarantäne
[2] infektionsherde
[2] bundesrepublik

Top Hashtags in Tweet in G3:
[11] sarscov2
[2] covid19
[2] report
[2] gardner
[2] who
[1] research
[1] covid
[1] hopkins
[1] coronavirus
[1] covidー19

Top Hashtags in Tweet in G6:
[45] dyk
[3] covid19
[1] askreuters

Top Hashtags in Tweet in G7:
[120] covid19
[120] sarscov2
[94] opendata
[4] phylogenic
[4] sars_cov_2
[3] genome
[2] mutations
[2] covid_19
[2] europe
[1] bcsir

Top Hashtags in Tweet in G8:
[18] covid19
[13] vaccine
[4] vaccin
[3] covid
[2] vaccinesaresafe
[2] vaccinationsaveslifes
[1] dyk
[1] astrazenecavaccine
[1] southafrica
[1] sars

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

Top Words
Top Words in Tweet in Entire Graph:
[938] sars
[821] cov
[290] 新型コロナウイルス
[288] 感染
[284] 伝播性の増加や抗原性の変化が懸念される
[256] ncov
[255] 19
[235] covid
[199] #covid19
[173] の新規変異株について

Top Words in Tweet in G1:
[207] cov
[171] sars
[169] 感染
[169] 伝播性の増加や抗原性の変化が懸念される
[169] 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
[63] の新規変異株について

Top Words in Tweet in G2:
[126] cov
[122] sars
[38] の新規変異株について
[37] 感染
[35] ncov
[35] 第6報
[34] 伝播性の増加や抗原性の変化が懸念される
[34] 新型コロナウイルス
[32] 19
[24] covid

Top Words in Tweet in G3:
[66] ncov
[66] named
[65] today
[65] anniversary
[65] coronavirus
[65] stopped
[65] being
[65] called
[65] 2019
[65] disease

Top Words in Tweet in G4:
[2] jdw714
[2] ladyoftheocean1
[2] rocket_1981
[2] secretlyakat
[2] psfnyc5
[2] block
[2] droplets
[2] microns

Top Words in Tweet in G5:
[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 G6:
[81] cdcgov
[76] sars
[68] cov
[55] surveillance
[55] virus
[52] national
[52] strain
[52] program
[49] cdc
[47] variants

Top Words in Tweet in G7:
[120] #covid19
[120] #sarscov2
[103] thanks
[94] #opendata
[94] sharing
[94] gisaid
[94] updated
[87] nextstrain
[84] covid
[84] sequences

Top Words in Tweet in G8:
[72] 19
[49] astrazeneca
[47] variants
[46] statement
[38] cov
[37] sars
[35] efficacy
[35] against
[34] covid
[32] jnkengasong

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:
[40] hcp
[40] enter
[40] room
[40] patient
[40] suspected
[40] confirmed
[40] sars
[40] cov
[38] adhe
[36] infection

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[720] sars,cov
[286] 新型コロナウイルス,sars
[284] 感染,伝播性の増加や抗原性の変化が懸念される
[284] 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
[173] cov,の新規変異株について
[162] covid,19
[130] #covid19,#sarscov2
[119] の新規変異株について,第6報
[109] 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
[169] 感染,伝播性の増加や抗原性の変化が懸念される
[169] 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
[169] 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
[63] cov,の新規変異株について
[38] 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:
[104] sars,cov
[38] cov,の新規変異株について
[34] 感染,伝播性の増加や抗原性の変化が懸念される
[34] 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
[34] 新型コロナウイルス,sars
[34] の新規変異株について,第6報
[21] covid,19
[14] 新型コロナウイルスsars,cov
[11] cov,spikeタンパク質
[11] spikeタンパク質,e484k変異を有するb

Top Word Pairs in Tweet in G3:
[65] today,anniversary
[65] anniversary,coronavirus
[65] coronavirus,stopped
[65] stopped,being
[65] being,called
[65] called,2019
[65] 2019,ncov
[65] ncov,named
[65] named,disease
[64] helenbranswell,today

Top Word Pairs in Tweet in G5:
[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 G6:
[68] sars,cov
[52] national,sars
[52] cov,strain
[52] strain,surveillance
[52] surveillance,program
[45] #dyk,cdc
[45] cdc,uses
[45] uses,national
[45] program,detect
[45] detect,monitor

Top Word Pairs in Tweet in G7:
[120] #covid19,#sarscov2
[94] thanks,#opendata
[94] #opendata,sharing
[94] sharing,gisaid
[84] nextstrain,thanks
[83] gisaid,we've
[83] we've,updated
[76] #sarscov2,sequences
[55] covid,19
[55] scholars,portal

Top Word Pairs in Tweet in G8:
[37] sars,cov
[34] efficacy,astrazeneca
[34] covid,19
[33] against,sars
[33] cov,variants
[32] statement,efficacy
[32] astrazeneca,covid
[32] 19,vaccine
[31] chadox1,ncov
[31] ncov,19

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] hcp,enter
[40] enter,room
[40] room,patient
[40] patient,suspected
[40] suspected,confirmed
[40] confirmed,sars
[40] sars,cov
[36] cov,infection
[35] microlabdoc,hcp
[35] infection,adhe

Top Replied-To
Top Replied-To in Entire Graph:
@_mickydicky
@scrowder
@falseprophetflm
@mainichi
@willgsmith1
@senatorromney
@merja_rantala
@alohasnackbar09
@cdcgov
@pwolodarski

Top Replied-To in G1:
@derive_ip

Top Replied-To in G3:
@falseprophetflm
@10downingstreet
@who
@bronwen6720

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

Top Replied-To in G6:
@cdcgov
@dianaavilacuad
@requenajamonero
@cdcemergency
@adamjkrejci
@disinfector
@averyryla
@dirigoduke
@snoftle
@pergamic

Top Replied-To in G7:
@maestro_rayo

Top Replied-To in G8:
@africacdc

Top Replied-To in G9:
@yaneerbaryam
@zeynep

Top Mentioned
Top Mentioned in Entire Graph:
@kenmomd
@gisaid
@nextstrain
@who
@lameduck1960
@cdcgov
@helenbranswell
@influenzer3
@microlabdoc
@jpsuvguayos

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

Top Mentioned in G3:
@who
@helenbranswell
@mvankerkhove
@hrpresearch
@otuncalp
@dremilyrsmith
@rickd65820701
@texasdownunder
@g7
@cepivaccines

Top Mentioned in G4:
@jdw714
@ladyoftheocean1
@rocket_1981
@secretlyakat
@psfnyc5
@sinner_lilith
@ziggystardad
@medwoman1
@_farrahmoody
@jdd2169

Top Mentioned in G5:
@lameduck1960

Top Mentioned in G6:
@cdcgov
@globalphobserv
@drjenndowd
@chhcs
@rodneyrohde
@pergamic
@thisalextin
@adslcadiz
@yudytagp
@who

Top Mentioned in G7:
@gisaid
@nextstrain
@scholarsportal
@kenmomd
@andersonbrito_
@nmimr_ug
@giga_uliege
@ils_bhubaneswar
@unesp_oficial
@imtspusp

Top Mentioned in G8:
@jnkengasong
@africacdc
@astrazeneca
@laktarr001
@_africanunion
@cdcgov
@promesseckaniki
@cmulumb
@kateribet

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

Top Mentioned in G10:
@microlabdoc
@theotherdodd

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
@peko409
@ariel_scebai
@higesan39
@shanghai_ii
@squopellediluna
@rhb4

Top Tweeters in G3:
@padakitty
@lizditz
@cnbsnana
@panthergodbast
@tempkt
@rebels2008
@pkanagaratnam
@euphoriceuler
@scott_squires
@dd9000

Top Tweeters in G4:
@rickysi16087724
@vickie627
@mrfly187
@ladyoftheocean1
@mongo3804
@smokeystafford
@medwoman1
@vincegottalotta
@klee34036780
@politicspot

Top Tweeters in G5:
@tommybrain
@ponytaele
@zioklint
@annamariacastel
@enki2270
@atestaltasempre
@quaranta_vito
@efisio31251859
@loren_ch
@caterinacorda1

Top Tweeters in G6:
@solutioneer72
@wadakashiho
@demiurgotuiter
@epuujee
@omi_082
@chickilopiccolo
@celestebyrne3
@saludhealthinfo
@monitor_ph
@kate_is_rising

Top Tweeters in G7:
@matiere
@viralvideovlogs
@sandoly
@mig30m6
@anonomouse1981
@____roar____
@gombang
@kerorrin
@garigalanj
@mgmglobal

Top Tweeters in G8:
@benjiseitlhamo
@sophie_mokoena
@onisillos
@maawlaw
@drelijahmatolo
@ivynyayieka
@becky_dale
@vonchy_19
@nitabhalla
@irenecnwoye

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

Top Tweeters in G10:
@paulpaul49
@grannywils
@katecushing2
@awenior
@anilkjain61
@agnesayton
@alitwy
@je_pala
@drtomlinsonep
@glynsnowdon


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