NCoV, Twitter, 2/21/2021 4:43:44 PM, 249311


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NCoV_2021-02-21_02-16-11.xlsx
NCoV_2021-02-21_02-16-11.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 21, 2021
Short Description:
NCoV via NodeXL https://bit.ly/3bsj58F
@cdcgov
@drericding
@derive_ip
@nextstrain
@kenmomd
@drnancym_cdc
@govrondesantis
@kunda96446558
@sandiegocounty
@jan_kraaksd

Top hashtags:
#covid19
#新型コロナウイルス
#sarscov2
#covidvaccineforum
#dyk
#doublemask
#coronavirus
#covid_19

Description:
Description
The graph represents a network of 7,812 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, 21 February 2021 at 10:26 UTC.

The requested start date was Friday, 19 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 2-day, 11-hour, 31-minute period from Tuesday, 16 February 2021 at 13:28 UTC to Friday, 19 February 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 : 7812
Unique Edges : 3912
Edges With Duplicates : 12509
Total Edges : 16421
Number of Edge Types : 5
Mentions : 1797
Tweet : 1337
Retweet : 5478
MentionsInRetweet : 7102
Replies to : 707
Self-Loops : 1371
Reciprocated Vertex Pair Ratio : 0.00519112789051439
Reciprocated Edge Ratio : 0.0103286384976526
Connected Components : 1079
Single-Vertex Connected Components : 461
Maximum Vertices in a Connected Component : 4373
Maximum Edges in a Connected Component : 11305
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.487512
Graph Density : 0.000139627422904522
Modularity : 0.515981
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,812 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, 21 February 2021 at 10:26 UTC.

The requested start date was Friday, 19 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 2-day, 11-hour, 31-minute period from Tuesday, 16 February 2021 at 13:28 UTC to Friday, 19 February 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:
[101] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[83] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/mask-fit-and-filtration.html
[82] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[77] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10174-covid19-37.html
[46] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[45] https://www.cdc.gov/coronavirus/2019-ncov/covid-eviction-declaration.html
[39] https://nextstrain.org/ncov/global?fbclid=IwAR0XIrkuNmhqiMLICVRAnXMkVMeyZDiIpGg-7fOmF1kFmTUIea236H9CUeU
[39] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[34] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_313_COVID-19.pdf
[34] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G1:
[43] https://www.cdc.gov/coronavirus/2019-ncov/covid-eviction-declaration.html
[31] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/forum/index.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/forum/agenda.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[10] https://www.costar.com/article/1604121452
[8] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/index.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[6] https://www.cdc.gov/covidvaccineforum
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html

Top URLs in Tweet in G2:
[3] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html
[2] 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.cdc.gov/coronavirus/2019-ncov/community/ventilation.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/participate-in-activities.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[1] https://www.bloomberg.com/tosv2.html?vid=&uuid=a29f6090-6ade-11eb-b00f-bdccc20e4d26&url=L25ld3MvYXJ0aWNsZXMvMjAyMS0wMi0wOC9wYWtpc3Rhbi1zYXlzLWNhbnNpbm8tcy1jb3ZpZC12YWNjaW5lLXNob3dzLTY1LTctZWZmaWNhY3k=
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/community/schools-childcare/K-12-Operational-Strategy-2021-2-12.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/testing-international-air-travelers.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/faq.html#Pets-and-Animals
[1] https://bit.ly/2M1OTbF

Top URLs in Tweet in G3:
[39] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/200824_kisyakaikenshiryo.pdf
[4] https://www.tokyo-np.co.jp/article/50942
[3] http://ncov.mohw.go.kr
[2] https://twitter.com/Derive_ip/status/1361624686510055424
[2] http://ncov.mohw.go.kr/bdBoardList.do?brdId=1&brdGubun=12
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://news.cgtn.com/news/2020-08-17/China-grants-1st-COVID-19-vaccine-patent-to-domestic-candidate-T1hu5rcSek/index.html
[1] https://www.globaltimes.cn/page/202102/1214559.shtml
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Top URLs in Tweet in G4:
[20] https://www.cdc.gov/coronavirus/2019-ncov/your-health/effective-masks.html
[15] 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/prevent-getting-sick/about-face-coverings.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
[11] https://eautocheck.de
[9] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/managing-stress-anxiety.html
[9] https://ncov.se
[8] https://www.cdc.gov/covidvaccineforum
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/mask-fit-and-filtration.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html

Top URLs in Tweet in G5:
[28] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_315_COVID-19.pdf
[17] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_314_COVID-19.pdf
[13] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_313_COVID-19.pdf
[8] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Proteccion_Trabajadores_SARS-CoV-2.pdf
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm
[6] http://www.navarra.es/home_es/Gobierno+de+Navarra/Organigrama/Los+departamentos/Salud/Organigrama/Estructura+Organica/Instituto+Navarro+de+Salud+Publica/Publicaciones/Publicaciones+profesionales/Epidemiologia/InformesVigilanciaEpidemiologia2021.htm
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[4] https://gobiernoabierto.navarra.es/es/coronavirus
[3] https://vacunacovid.gob.es
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20210217.pdf

Top URLs in Tweet in G6:
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html

Top URLs in Tweet in G7:
[29] https://nextstrain.org/ncov
[9] https://nextstrain.org/ncov/europe
[4] https://nextstrain.org/groups/blab/narratives/ncov/19B/2020-02-16
[4] https://nextstrain.org/ncov/oceania
[3] https://nextstrain.org/ncov/north-america
[3] https://nextstrain.org/ncov/asia
[2] https://nextstrain.org/ncov/south-america
[2] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html
[2] https://www.who.int/news/item/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov)
[2] https://medical.mit.edu/covid-19-updates/2020/07/do-cloth-masks-work

Top URLs in Tweet in G8:
[19] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210216_shiryouteikyou.pdf
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/210217_siryoteikyo.pdf
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/hassei.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[1] https://news.yahoo.co.jp/articles/9a66ecbac2d8b3768c5b672a5a1f68ead4e50549
[1] https://news.yahoo.co.jp/articles/016036336a66374d83570e597a01b10403499a5a
[1] https://twitter.com/Ibaraki_Kouhou/status/1362322157531930626
[1] https://twitter.com/Ibaraki_Kouhou/status/1361601927264411655

Top URLs in Tweet in G9:
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-fur-farming-risk-assessment-2021.1
[2] https://nextstrain.org/ncov/global
[1] https://apps.who.int/iris/bitstream/handle/10665/338715/WHO-2019-nCoV-vaccination-IPC-2021.1-eng.pdf?sequence=1&isAllowed=y
[1] 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-Community_Readiness-2021.1
[1] https://apps.who.int/iris/bitstream/handle/10665/338057/WHO-2019-nCoV-RCCE-2020.3-eng.pdf?sequence=1&isAllowed=y
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-fur-farming-risk-assessment-2021.1#.YC6JXZWmw7E.twitter
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-vaccination-demand-planning-2021.1#.YCx-SoM4Cr4.twitter
[1] https://apps.who.int/iris/bitstream/handle/10665/339452/WHO-2019-nCoV-vaccination-demand-planning-2021.1-eng.docx
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-genomic-sequencing-GISRS-2021.1

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/eviction-moratoria-order-faqs.pdf?fbclid=IwAR3Me-Cdaj5P9K0jjPX2HlS7BX3rmXVtrnIixiOW3_tn5TPYi9baR9M68do
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Pfizer-BioNTech.html
[1] https://nextstrain.org/groups/neherlab/ncov/netherlands?c=clade_membership&f_country=Netherlands&p=grid&r=division
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1614] cdc.gov
[215] gob.es
[196] go.jp
[164] nextstrain.org
[101] recombinomics.co
[76] twitter.com
[68] lg.jp
[64] who.int
[57] ibaraki.jp
[28] vaccinationsuperstationsd.com

Top Domains in Tweet in G1:
[299] cdc.gov
[10] twitter.com
[10] costar.com
[5] floridabar.org
[4] bit.ly
[4] nevadacurrent.com
[4] ms.gov
[2] fox5atlanta.com
[2] tripadvisor.com
[2] newsweek.com

Top Domains in Tweet in G2:
[13] cdc.gov
[2] africacdc.org
[1] bloomberg.com
[1] bit.ly

Top Domains in Tweet in G3:
[41] go.jp
[6] go.kr
[5] co.jp
[4] ibaraki.jp
[3] twitter.com
[3] ne.jp
[2] cdc.gov
[1] cgtn.com
[1] globaltimes.cn
[1] livedoor.com

Top Domains in Tweet in G4:
[359] cdc.gov
[40] gob.es
[35] go.jp
[23] twitter.com
[22] eautocheck.de
[11] who.int
[10] nextstrain.org
[10] ibaraki.jp
[9] ncov.se
[8] lg.jp

Top Domains in Tweet in G5:
[111] gob.es
[12] navarra.es
[2] bit.ly
[2] cdc.gov
[1] canada.ca

Top Domains in Tweet in G6:
[2] cdc.gov

Top Domains in Tweet in G7:
[59] nextstrain.org
[5] cdc.gov
[3] gob.es
[2] lg.jp
[2] who.int
[2] mit.edu
[2] mayoclinic.org
[2] hopkinsmedicine.org
[2] ucsf.edu
[2] theconversation.com

Top Domains in Tweet in G8:
[31] ibaraki.jp
[2] co.jp
[2] twitter.com

Top Domains in Tweet in G9:
[14] who.int
[2] nextstrain.org

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1580] covid19
[208] 新型コロナウイルス
[161] sarscov2
[107] covidvaccineforum
[87] dyk
[70] doublemask
[64] coronavirus
[49] covid_19
[40] patients
[40] inflammatory



Top Hashtags in Tweet in G1:
[789] covid19
[83] dyk
[54] covidvaccineforum
[27] wearamask
[26] mardigras
[20] new
[18] valentinesday
[17] covid
[10] realtimevaccinechat
[7] icymi

Top Hashtags in Tweet in G2:
[19] covid19
[5] covidisairborne
[4] onehealth
[2] astrazenecavaccineisshit
[1] b117
[1] covidvaccineforum

Top Hashtags in Tweet in G3:
[5] もういらないだろ自民党
[5] もううんざりだよ自民党
[5] コロナ人災の賠償を求めよう
[5] covid19
[5] covid
[5] コロナ
[5] corona
[5] coronavirus
[5] novel
[3] コロナウイルス

Top Hashtags in Tweet in G4:
[82] covid19
[25] coronavirus
[11] fwn
[11] freeworldnews
[11] today
[8] ncov
[8] covidvaccineforum
[8] covid
[7] 新型コロナウイルス
[5] vaccine

Top Hashtags in Tweet in G5:
[242] covid19
[16] andalucía
[11] ventilación
[10] documentosprl
[10] higienejcyl
[8] yomevacuno
[6] 6m
[5] vacunacovid19
[4] quédateencasa
[4] covid_19

Top Hashtags in Tweet in G6:
[3] wellnesswednesday
[3] karenrebels

Top Hashtags in Tweet in G7:
[75] sarscov2
[39] covid19
[29] opendata
[6] covidvaccineforum
[2] virologynimhans
[2] oxford
[2] chadox1
[2] 千葉労連
[1] royalprincealfredhospital
[1] b1351

Top Hashtags in Tweet in G8:
[196] 新型コロナウイルス
[5] 守谷市新型コロナウイルス関連情報
[5] 茨城県
[5] 守谷市
[4] いばらきアマビエちゃん
[1] 龍ケ崎
[1] 龍ケ崎市コロナ対策

Top Hashtags in Tweet in G9:
[24] sarscov2
[20] covid19
[10] vaccines
[10] treatments
[10] tests
[10] pulsoxymeter
[4] infectionprevention
[3] riskcommunication
[3] communityengagement
[2] besd

Top Words
Top Words in Tweet in Entire Graph:
[1580] #covid19
[1265] covid
[997] 19
[872] cdc
[841] cdcgov
[811] daily
[809] mask
[806] don
[802] drericding
[767] florida

Top Words in Tweet in G1:
[789] #covid19
[768] cdcgov
[311] covid
[256] 19
[249] mask
[218] vaccine
[207] national
[167] re
[166] cdc
[151] during

Top Words in Tweet in G2:
[791] drericding
[754] florida
[751] don
[750] mon
[750] wanna
[750] epidemiologist
[750] dude
[750] remind
[750] govrondesantis
[750] daily

Top Words in Tweet in G3:
[410] e484k変異を有する変異株が国内で検出されている
[410] 海外から移入したとみられるが起源不明のe484k変異を有するb
[410] 4系統が
[397] n501y変異を有さないが
[368] え
[365] そんなの聞いてないよ
[365] e484k変異が91件って絶対にまずいよ
[364] derive_ip
[364] 空港検疫で
[107] 感染

Top Words in Tweet in G4:
[207] covid
[203] 19
[102] cdc
[96] more
[84] vaccine
[82] #covid19
[61] ncov
[52] mask
[50] vaccines
[48] learn

Top Words in Tweet in G5:
[242] #covid19
[156] saludpublicaes
[134] actualización
[117] febrero
[97] datos
[86] sanidadgob
[86] hoy
[82] caso
[75] procedimiento
[75] servicios

Top Words in Tweet in G6:
[249] 411
[249] masks
[249] valves
[249] bandannas
[249] face
[249] gators
[249] cut
[249] good
[249] seal
[249] keep

Top Words in Tweet in G7:
[146] nextstrain
[90] sequences
[75] #sarscov2
[64] gisaid
[56] recent
[49] 19b
[49] thanks
[46] noticed
[46] samples
[45] read

Top Words in Tweet in G8:
[203] 引き続き
[196] #新型コロナウイルス
[196] 感染症情報
[196] 本日の新規陽性者数
[196] 本日の死亡者数
[196] 本日の退院等回復者数
[196] 現在の入院者数
[196] うち重症者数
[196] 感染症対策にご協力をお願いします
[192] ibaraki_kouhou

Top Words in Tweet in G9:
[59] guidance
[54] covid
[53] 19
[48] tools
[46] vaccines
[46] uptake
[46] help
[45] achieving
[45] high
[45] proud

Top Words in Tweet in G10:
[113] involved
[112] cdc
[112] being
[112] moratorium
[112] rents
[112] evictions
[112] anyone
[112] see
[112] huge
[112] problem

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[912] covid,19
[757] mon,florida
[757] florida,don
[757] don,wanna
[757] wanna,epidemiologist
[757] epidemiologist,dude
[757] dude,remind
[757] remind,govrondesantis
[757] govrondesantis,daily
[757] daily,civic

Top Word Pairs in Tweet in G1:
[245] covid,19
[122] during,#covid19
[103] ways,help
[91] national,forecasts
[91] forecasts,predict
[88] spread,#covid19
[85] february,15
[85] 15,national
[85] cdcgov,february
[85] temporary,seasonal

Top Word Pairs in Tweet in G2:
[750] mon,florida
[750] florida,don
[750] don,wanna
[750] wanna,epidemiologist
[750] epidemiologist,dude
[750] dude,remind
[750] remind,govrondesantis
[750] govrondesantis,daily
[750] daily,civic
[749] drericding,mon

Top Word Pairs in Tweet in G3:
[410] e484k変異を有する変異株が国内で検出されている,海外から移入したとみられるが起源不明のe484k変異を有するb
[410] 海外から移入したとみられるが起源不明のe484k変異を有するb,4系統が
[397] n501y変異を有さないが,e484k変異を有する変異株が国内で検出されている
[365] え,そんなの聞いてないよ
[365] そんなの聞いてないよ,e484k変異が91件って絶対にまずいよ
[365] e484k変異が91件って絶対にまずいよ,n501y変異を有さないが
[364] derive_ip,え
[364] 4系統が,空港検疫で
[101] 感染,伝播性の増加や抗原性の変化が懸念される
[101] 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

Top Word Pairs in Tweet in G4:
[182] covid,19
[38] learn,more
[30] 19,vaccine
[29] sars,cov
[26] 19,vaccines
[18] har,tillfrisknat
[17] 2019,ncov
[14] side,effects
[13] ncov,19
[12] 感染,伝播性の増加や抗原性の変化が懸念される

Top Word Pairs in Tweet in G5:
[92] datos,#covid19
[74] procedimiento,actuación
[74] actuación,servicios
[60] febrero,2021
[60] 2021,procedimiento
[59] 15,febrero
[57] actualización,15
[56] servicios,prevencion
[56] prevencion,riesgos
[53] actualización,datos

Top Word Pairs in Tweet in G6:
[249] 411,masks
[249] masks,valves
[249] valves,bandannas
[249] bandannas,face
[249] face,gators
[249] gators,cut
[249] cut,good
[249] good,seal
[249] seal,keep
[249] keep,clean

Top Word Pairs in Tweet in G7:
[46] noticed,#sarscov2
[46] #sarscov2,19b
[46] 19b,samples
[45] samples,recent
[45] recent,sequences
[45] sequences,read
[45] read,report
[45] report,nextstrain
[45] nextstrain,team
[45] team,members

Top Word Pairs in Tweet in G8:
[196] #新型コロナウイルス,感染症情報
[196] 引き続き,感染症対策にご協力をお願いします
[192] ibaraki_kouhou,#新型コロナウイルス
[192] 感染症対策にご協力をお願いします,#いばら
[111] 現在の入院者数,181人
[111] 181人,うち重症者数
[109] 感染症情報,2月18日
[109] 2月18日,本日の新規陽性者数
[109] 本日の新規陽性者数,39人
[109] 39人,本日の死亡者数

Top Word Pairs in Tweet in G9:
[53] covid,19
[45] guidance,achieving
[45] achieving,high
[45] high,uptake
[45] uptake,covid
[45] 19,vaccines
[45] vaccines,proud
[45] proud,worked
[45] worked,tools
[45] tools,help

Top Word Pairs in Tweet in G10:
[112] cdc,being
[112] being,involved
[112] involved,moratorium
[112] moratorium,rents
[112] rents,evictions
[112] evictions,anyone
[112] anyone,see
[112] see,huge
[112] huge,problem
[111] drmadej,cdc

Top Replied-To
Top Replied-To in Entire Graph:
@gisaid
@cdcgov
@salud_na
@atomskssanakan
@cdcemergency
@casteezapill
@caribtania
@z_mutoh
@senatorromney
@bbcnews

Top Replied-To in G1:
@cdcgov
@cdcemergency
@realtimecovid19
@kprather88
@drnancym_cdc
@adamjkrejci
@cdcdirector
@afao94
@neilflochmd
@c4e605e96f5d422

Top Replied-To in G2:
@kurteichenwald
@drericding
@vikvargar

Top Replied-To in G3:
@i_hate_camp
@influenzer3
@matsubarakoji
@tomynyo
@bstbs1930

Top Replied-To in G4:
@byuoritter

Top Replied-To in G5:
@salud_na
@jabargon
@desdelamoncloa

Top Replied-To in G7:
@gisaid
@albertocaliu
@virginiahughes
@disinfector
@averyryla
@istsupsan

Top Replied-To in G9:
@rcni_julie
@who
@timjames16
@phe_uk

Top Replied-To in G10:
@zapatastyle
@simonesays123
@valkiriavallejo

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@drericding
@govrondesantis
@derive_ip
@dpatil
@ibaraki_kouhou
@saludpublicaes
@lameduck1960
@drmadej
@who

Top Mentioned in G1:
@cdcgov
@hhsgov
@cdcemergency
@drnancym_cdc
@usedgov
@realtimecovid19
@yalesph
@medicaregov
@hhs_ash
@surgeon_general

Top Mentioned in G2:
@drericding
@govrondesantis
@carlosdelrio7
@bhadeliamd
@kavitapmd
@cdcgov
@patientsafe3
@cdc_ncezid
@usda_aphis
@jeffschweers

Top Mentioned in G3:
@derive_ip
@influenzer3
@kenmomd
@triangle24
@kawamomotwitt
@hontounokotoga1
@iwanamikagaku
@sosorasora3
@tfmuajsvdjnlvdp
@koheikana

Top Mentioned in G4:
@pall336_2
@belgradewhite
@olgauq
@flapflappy
@lowhendrix
@nurse_tammy_
@graaltruth

Top Mentioned in G5:
@saludpublicaes
@sanidadgob
@instrabajoyss
@dgobandalucia
@csif_agca
@territorialgob
@prevencionjcyl
@vacunacovides
@aeemtcom
@aercoreca

Top Mentioned in G6:
@dpatil
@drchrismd
@karenhunter
@dcstl
@sxmurbanview

Top Mentioned in G7:
@nextstrain
@gisaid
@nswhpathology
@imtspusp
@ufsweb
@lebamuniv
@q_nationaltaiwa
@fulgentgenetics
@michiganhhs
@rivm

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

Top Mentioned in G9:
@who
@julieleask
@mvankerkhove
@oieanimalhealth
@faoanimalhealth
@ombaggio
@docjosiahboone
@who_europe
@bureli
@fao

Top Mentioned in G10:
@drmadej
@aribeuker
@disclosetv
@hommel_b
@sudelavilla
@boxxrgrl
@axelkruk
@simonesays123

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@jornalistavitor
@americanair
@simanekomama
@sectest9
@dichristine
@paoloigna1
@jurylady5
@amr_shin
@myfavoritescene

Top Tweeters in G1:
@s9tmt
@solutioneer72
@rosenchild
@amyayers16
@sueleugers
@npsusa
@loyalfan1
@jorge_c_ny
@coronaupdatebot
@sandi_childs

Top Tweeters in G2:
@jurylady5
@kat4obama
@ecclesias
@frecklesxx20
@sar_oso
@riskyliberal
@hijcp
@solusnan1
@miss_placed_
@cblazblaz

Top Tweeters in G3:
@ja8yum
@amr_shin
@myfavoritescene
@ecodaren
@sosorasora3
@citrus_kyoto
@cao58020
@hurati
@maikamegumi
@chiemma44

Top Tweeters in G4:
@gooochin
@kouzie01
@didaclopez
@golos_ukraine
@haolethai
@aureliobelandom
@mitsuya_niwa
@olgauq
@spoonhead8
@bewickwren

Top Tweeters in G5:
@clia_g
@mariaperezpere
@edgardogarciasa
@demiurgotuiter
@937908mcm
@alegraalonso
@rafaellealsalaz
@kiliancd
@chile7171
@trabajareuropa

Top Tweeters in G6:
@okimma
@odoylecharlotte
@ayers0807
@conjja
@sofyblu2
@bvilivusonline
@angel_officiale
@ssimms777
@moldyclay
@bregmanps

Top Tweeters in G7:
@____roar____
@gombang
@cnhyrein
@kerorrin
@eturleye
@phylogenomics
@catreonot
@chihuu
@kennyjacobs
@valdescabb

Top Tweeters in G8:
@westinghouse565
@noel_hasui
@zyoushou
@shirayukihime_p
@sgr_kn
@dummyxtweet
@kazubachev
@yamano__88
@shuloveyui
@kaneson_type89

Top Tweeters in G9:
@mwangp01
@bprophetable
@melissasweetdr
@andreww66619812
@kamonjomaina
@creation_2011
@nordicgeo
@tha_heisenberg
@z_eisberg
@sevillanadirndl

Top Tweeters in G10:
@uncjay1
@truthseeker6761
@usashopper
@mad_hatter_tea
@cristinadobre
@nelliejs501
@kiranmartis9
@kag45patriot
@skiiryne
@werocktheplanet


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