NCoV, Twitter, 11/9/2021 8:09:51 PM, 265939


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NCoV_2021-11-09_04-00-01.xlsx
NCoV_2021-11-09_04-00-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 09, 2021
Short Description:
NCoV via NodeXL https://bit.ly/30cdhP2
@cdcgov
@cdcdirector
@potus
@doo_aka
@noorchashm
@golden_pup
@viralvideovlogs
@durcristian
@bee_humble1
@doritmi

Top hashtags:
#covid19
#新型コロナウイルス
#covid
#covid_19
#vaxx
#더안전한_더나은일상
#우리에게다시
#dyk
#travel
#cdc

Description:
Description
The graph represents a network of 8,627 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 Tuesday, 09 November 2021 at 12:16 UTC.

The requested start date was Tuesday, 09 November 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, 16-hour, 53-minute period from Thursday, 04 November 2021 at 19:33 UTC to Monday, 08 November 2021 at 12:26 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 : 8627
Unique Edges : 4889
Edges With Duplicates : 12096
Total Edges : 16985
Number of Edge Types : 5
Tweet : 1040
Retweet : 4910
MentionsInRetweet : 5837
Replies to : 1670
Mentions : 3528
Self-Loops : 1081
Reciprocated Vertex Pair Ratio : 0.0157085561497326
Reciprocated Edge Ratio : 0.0309312273774268
Connected Components : 1077
Single-Vertex Connected Components : 269
Maximum Vertices in a Connected Component : 2719
Maximum Edges in a Connected Component : 6023
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.789711
Graph Density : 0.000122513149032455
Modularity : 0.525835
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,627 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 Tuesday, 09 November 2021 at 12:16 UTC.

The requested start date was Tuesday, 09 November 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, 16-hour, 53-minute period from Thursday, 04 November 2021 at 19:33 UTC to Monday, 08 November 2021 at 12:26 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:
[403] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[141] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[120] http://ncov.mohw.go.kr/
[106] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[83] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[77] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[71] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[57] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[53] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[52] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2821%2902282-0%2Ffulltext%3Fdgcid%3Draven_jbs_etoc_email&rc=0

Top URLs in Tweet in G1:
[1] https://apps.who.int/iris/bitstream/handle/10665/347395/WHO-2019-nCoV-vaccines-SAGE-recommendation-BIBP-2021.2-eng.pdf?sequence=1
[1] https://apps.who.int/iris/bitstream/handle/10665/347395/WHO-2019-nCov-vaccines-SAGE-recomendation-BIBP-2021.2-eng.pdf?sequence=1
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fvaccines%2Frecommendations%2Fadolescents.html
[1] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated.html
[1] https://www.eldiestro.es/wp-content/uploads/2021/10/WHO-2019-nCoV-genomic_sequencing-2021.1-spa.pdf
[1] https://www.who.int/es/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments
[1] https://twitter.com/JulioRazona/status/1456646224275197953

Top URLs in Tweet in G2:
[32] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[8] https://www.vaccines.gov/
[7] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel/travel-assessment/index.html
[7] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/parent-faqs.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html

Top URLs in Tweet in G3:
[9] https://twitter.com/SchaefferMarly1/status/1456346076420714497?t=deRXAbFR7rnEfSbJySHy8A&s=19
[6] https://twitter.com/i/status/1456751599699828737
[5] https://www.youtube.com/watch?v=8ToWq-sfOzY&feature=youtu.be

[4] https://twitter.com/petiguyot/status/1457103478203895811?s=20
[3] https://aulnaycap.com/2021/11/06/florian-dagoury-apneiste-cumule-myocardite-pericardite-et-une-regurgitation-mitrale-triviale-apres-sa-deuxieme-dose-pfizer/
[2] https://theexpose.uk/2021/11/07/cdc-scientists-admit-they-did-manipulate-study-data-to-show-the-covid-19-vaccines-are-safe-for-pregnant-women/
[1] https://www.youtube.com/watch?v=-SYL-iU0E9Q&feature=youtu.be

[1] https://twitter.com/HZ_Press/status/1456271055366995972
[1] https://twitter.com/Brevesdepresse/status/1456509666385596417
[1] https://news-24.fr/profond-chagrin-le-chagrin-alors-que-lancien-but-de-24-ans-du-joueur-de-hockey-vainqueur-de-la-saison-decede-11-jours-apres-setre-effondre-sur-la-glace/

Top URLs in Tweet in G4:
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[2] Travel
[2] and
[1] https://twitter.com/GMA/status/1455856876764160002
[1] https://twitter.com/CBSMornings/status/1455872523032309765
[1] https://twitter.com/MorningEdition/status/1456331659243032578
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel/travel-assessment/index.html?utm_campaign=%2B
[1] Immigration&utm_content=185936203&utm_medium=social&utm_source=twitter&hss_channel=tw-14074515
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/travel-risk.html?utm_campaign=%2B
[1] Immigration&utm_content=184711707&utm_medium=social&utm_source=twitter&hss_channel=tw-14074515

Top URLs in Tweet in G5:
[16] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[14] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/22-octubre/
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[8] https://systems.jhu.edu/research/public-health/ncov/
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10743-covid19-62.html
[6] 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://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html?fbclid=IwAR303y3xvxZ5tSXh_LG3RCvRe48xbmNzWDLSdvCgjTL3wy0HGChiQhSHdO0

Top URLs in Tweet in G6:
[48] https://pubmed.ncbi.nlm.nih.gov/34161702/
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/specific-groups/allergies.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/keythingstoknow.html?s_cid=10524:%2BWhat%20%2Bis%20%2Bthe%20%2Bcovid%20%2Bvaccine:sem.b:p:RG:GM:gen:PTN:FY21
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Pfizer-BioNTech.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/planning-for-pregnancy.html

Top URLs in Tweet in G7:
[19] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[3] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/planning-for-pregnancy.html?s_cid=11351:does%20the%20covid%20vaccine%20make%20you%20sterile:sem.ga:p:RG:GM:gen:PTN:FY21
[1] https://www.cnbc.com/2021/10/19/cdc-study-shows-pfizer-covid-vaccine-is-93percent-effective-against-hospitalization-in-12-to-18-year-olds.html
[1] https://bostonreview.net/science-nature/andrew-l-croxford-long-term-safety-argument-over-covid-19-vaccines
[1] https://www.snopes.com/fact-check/covid-vax-deaths-vs-covid-deaths/

Top URLs in Tweet in G8:
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html

Top URLs in Tweet in G9:
[390] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ichiran.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/211108_shiryoteikyo.pdf
[2] https://www3.nhk.or.jp/news/html/20211108/k10013339041000.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/211106_shiryoteikyo.pdf
[2] https://www3.nhk.or.jp/news/html/20211106/k10013337171000.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/211105_shiryoteikyo.pdf
[2] https://www3.nhk.or.jp/news/html/20211105/k10013336091000.html

Top URLs in Tweet in G10:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/delta-variant.html?s_cid=11511:can%20vaccinated%20people%20spread%20delta:sem.ga:p:RG:GM:gen:PTN:FY21
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/Pfizer-BioNTech.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated-guidance.html
[2] https://health.clevelandclinic.org/can-vaccinated-people-transmit-covid-19-to-others/
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html

Top Domains
Top Domains in Tweet in Entire Graph:
[1630] cdc.gov
[427] ibaraki.jp
[232] lg.jp
[147] go.kr
[122] recombinomics.co
[112] twitter.com
[112] gob.es
[78] who.int
[64] nih.gov
[57] elsevierhealth.com

Top Domains in Tweet in G1:
[3] who.int
[2] cdc.gov
[1] eldiestro.es
[1] twitter.com

Top Domains in Tweet in G2:
[137] cdc.gov
[122] recombinomics.co
[8] vaccines.gov
[7] emergenza24.org
[4] twitter.com
[1] com.ua
[1] bvsalud.org
[1] facebook.com
[1] state.gov
[1] nih.gov

Top Domains in Tweet in G3:
[51] twitter.com
[7] youtube.com
[3] philomag.com
[3] aulnaycap.com
[2] europa.eu
[2] t.me
[2] theexpose.uk
[2] cdc.gov
[2] nejm.org
[1] news-24.fr

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

Top Domains in Tweet in G5:
[203] cdc.gov
[22] twitter.com
[20] gencat.cat
[13] go.jp
[12] scholarsportal.info
[8] gov.au
[8] jhu.edu
[7] gob.es
[7] go.kr
[6] publichealthontario.ca

Top Domains in Tweet in G6:
[57] cdc.gov
[48] nih.gov
[1] go.kr
[1] medrxiv.org
[1] sciencedirect.com
[1] fda.gov
[1] publichealthontario.ca

Top Domains in Tweet in G7:
[21] cdc.gov
[3] publichealthontario.ca
[1] cnbc.com
[1] bostonreview.net
[1] snopes.com

Top Domains in Tweet in G8:
[9] cdc.gov
[2] who.int
[2] thewashingtonstandard.com

Top Domains in Tweet in G9:
[405] ibaraki.jp
[12] or.jp
[4] lg.jp

Top Domains in Tweet in G10:
[49] cdc.gov
[2] clevelandclinic.org
[1] jhu.edu
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1493] covid19
[396] 新型コロナウイルス
[184] covid
[181] covid_19
[142] vaxx
[119] 더안전한_더나은일상
[119] 우리에게다시
[85] dyk
[76] travel
[70] cdc



Top Hashtags in Tweet in G2:
[860] covid19
[73] dyk
[65] travel
[43] cdc
[35] covid
[25] coronavirus
[13] コロナ
[13] 2019ncov
[13] ncov
[13] 新型コロナ

Top Hashtags in Tweet in G3:
[30] pfizergate
[18] ema
[11] pfizer
[8] scandalepfizer
[7] francia
[5] manifs6novembre
[5] nonalavaccinationobligatoire
[5] soutienauxsoignants
[5] soutienauxpompiers
[4] mafiosi

Top Hashtags in Tweet in G4:
[350] covid19
[6] dyk
[3] travel
[2] testandstay
[1] cdc

Top Hashtags in Tweet in G5:
[43] covid19
[10] cdc
[7] coronavirus
[7] sarscov2
[4] ifhtranslates
[4] ncov
[3] pandemic
[2] certificatcovid
[2] sandiego
[2] njcovidinfospanish

Top Hashtags in Tweet in G6:
[7] covid19
[1] covid
[1] vaxx
[1] cancelculture
[1] getvaccinated
[1] fertility
[1] fbr

Top Hashtags in Tweet in G8:
[3] covid19
[1] vaccinessavelives
[1] dyk

Top Hashtags in Tweet in G9:
[391] 新型コロナウイルス
[8] 茨城県
[5] いばらきアマビエちゃん
[2] 県南
[1] 龍ケ崎
[1] 龍ケ崎市コロナ対策

Top Words
Top Words in Tweet in Entire Graph:
[1493] #covid19
[1227] children
[1189] covid
[1183] cdc
[988] cdcgov
[959] 2021
[921] 19
[917] vaccine
[913] oms
[910] ages

Top Words in Tweet in G1:
[823] oms
[822] 18
[821] sinopharm
[821] 2021
[820] recomendada
[820] menores
[820] 28
[820] octubre
[820] entiende
[820] aberrante

Top Words in Tweet in G2:
[874] cdcgov
[860] #covid19
[646] children
[467] recommends
[465] cdc
[462] ages
[435] vaccinated
[426] against
[350] parents
[328] vaccination

Top Words in Tweet in G3:
[506] gino_2019_ncov
[104] ce
[103] louan07
[92] c'est
[78] ils
[72] plus
[66] tous
[63] sans
[57] sont
[55] tout

Top Words in Tweet in G4:
[350] #covid19
[325] children
[279] cdcdirector
[241] ages
[229] vaccine
[219] pfizer
[219] biontech
[218] 11
[214] data
[214] pediatric

Top Words in Tweet in G5:
[204] covid
[194] 19
[67] cdc
[63] vaccine
[49] ncov
[43] 2021
[43] #covid19
[41] vaccines
[41] more
[36] 11

Top Words in Tweet in G6:
[96] cc
[62] covid
[59] 19
[58] vaccines
[51] erictopol
[51] monicagandhi9
[50] yes
[49] transmission
[48] reduce
[48] sars

Top Words in Tweet in G7:
[308] oct
[156] more
[155] adverse
[155] events
[155] ontario
[154] vaccine
[154] 25
[154] 31
[154] reporting
[154] rate

Top Words in Tweet in G8:
[7] carlsmythe
[7] vaccines
[7] 19
[6] alex_on_a14
[6] mcfunny
[5] kathmarval
[5] ghoppe
[5] mdrisette
[5] temple_surly
[5] browningneelyn

Top Words in Tweet in G9:
[674] 1名
[391] #新型コロナウイルス
[383] 感染症情報
[383] 本日の新規陽性者数
[383] 本日の退院等回復者数
[383] 現在の入院者数
[383] うち重症者数
[383] 詳しくはこちらをご覧ください
[378] ibaraki_kouhou
[287] 8名

Top Words in Tweet in G10:
[22] bigbird
[21] ericarhill
[17] cdc
[16] covid
[15] vaccine
[11] potus
[10] vaccinated
[9] less
[8] risk
[8] died

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[851] menores,18
[832] 28,octubre
[831] octubre,2021
[829] 18,28
[827] oms,sinopharm
[827] sinopharm,recomendada
[827] recomendada,menores
[827] 2021,entiende
[827] entiende,aberrante
[827] aberrante,argentina

Top Word Pairs in Tweet in G1:
[820] oms,sinopharm
[820] sinopharm,recomendada
[820] recomendada,menores
[820] menores,18
[820] 18,28
[820] 28,octubre
[820] octubre,2021
[820] 2021,entiende
[820] entiende,aberrante
[820] aberrante,argentina

Top Word Pairs in Tweet in G2:
[461] children,ages
[451] recommends,children
[421] vaccinated,against
[418] cdc,recommends
[414] against,#covid19
[311] #covid19,vaccination
[309] ages,vaccinated
[304] parents,caregivers
[259] caregivers,cdc
[258] cdcgov,parents

Top Word Pairs in Tweet in G3:
[26] ce,produit
[24] padoue,maxi
[24] maxi,cluster
[24] cluster,maison
[24] maison,retraite
[24] retraite,beggiato
[24] beggiato,59
[24] 59,résidents
[24] résidents,fonctionnaires
[24] fonctionnaires,positifs

Top Word Pairs in Tweet in G4:
[241] children,ages
[220] #covid19,vaccine
[219] pfizer,biontech
[217] ages,11
[211] cdcdirector,data
[205] data,pfizer
[205] biontech,pediatric
[205] pediatric,#covid19
[205] vaccine,showed
[205] showed,cases

Top Word Pairs in Tweet in G5:
[167] covid,19
[31] 19,vaccine
[22] 19,vaccines
[20] learn,more
[16] 2019,ncov
[15] chadox1,ncov
[15] ncov,19
[13] 19,vaccination
[13] 2021,11
[12] scholars,portal

Top Word Pairs in Tweet in G6:
[59] covid,19
[51] 19,vaccines
[48] vaccines,reduce
[48] reduce,sars
[48] sars,cov
[48] cov,transmission
[48] transmission,yes
[48] yes,cc
[48] cc,erictopol
[48] erictopol,cc

Top Word Pairs in Tweet in G7:
[154] vaccine,adverse
[154] adverse,events
[154] events,ontario
[154] ontario,oct
[154] oct,25
[154] 25,oct
[154] oct,31
[154] 31,reporting
[154] reporting,rate
[154] rate,again

Top Word Pairs in Tweet in G8:
[5] carlsmythe,f250roush
[5] f250roush,rich2al
[5] rich2al,pawley_robert
[5] pawley_robert,alex_on_a14
[4] covid,19
[3] doritmi,fair
[3] fair,vaccines
[3] vaccines,reduce
[3] reduce,transmission
[3] transmission,factor

Top Word Pairs in Tweet in G9:
[383] #新型コロナウイルス,感染症情報
[380] うち重症者数,1名
[380] 1名,詳しくはこちらをご覧ください
[378] ibaraki_kouhou,#新型コロナウイルス
[207] 現在の入院者数,8名
[207] 8名,うち重症者数
[204] 本日の退院等回復者数,0名
[204] 0名,現在の入院者数
[204] 詳しくはこちらをご覧ください,#
[189] 本日の新規陽性者数,1名

Top Word Pairs in Tweet in G10:
[20] bigbird,ericarhill
[4] 700,children
[3] unvaccinated,people
[3] lb110320,bigbird
[3] cernovich,bigbird
[3] mrna,vaccines
[3] less,700
[3] children,died
[3] died,covid
[3] potus,joebiden

Top Replied-To
Top Replied-To in Entire Graph:
@gino_2019_ncov
@louan07
@aureliem0813
@tivolib
@benoitdalben
@takeheight
@julie3ju
@robertopara08
@aaronrodgers12
@jacqueswitt

Top Replied-To in G1:
@maiagimenez
@manhattan_2

Top Replied-To in G2:
@cdcgov
@cshamone
@carlquintanilla
@cottonwood331
@joelwa384
@pancakehopper1
@bigdocsfiesta
@osiumenyiora
@megstesprit
@mr4time

Top Replied-To in G3:
@gino_2019_ncov
@louan07
@aureliem0813
@tivolib
@benoitdalben
@takeheight
@jacqueswitt
@robertopara08
@el_dic_tator
@anaiss_tea

Top Replied-To in G4:
@cdcdirector
@hillarymaxwell
@atwanderlast

Top Replied-To in G5:
@byuoritter

Top Replied-To in G6:
@aaronrodgers12
@kass12351
@rachelhopmayer
@coyamish24
@fettuccineron
@neuralprofit
@thatsnotfunny10
@carrieunderwood
@oldcrustybread
@jeremyadamross

Top Replied-To in G7:
@cbccalgary
@toni2481
@jay_euler

Top Replied-To in G8:
@chris_f_carson
@jsaholmes
@n0nservatum
@saminbelize
@allergic2masks
@american41776
@jonatha80589955
@ranwithscisors
@temple_surly
@msabouri

Top Replied-To in G10:
@pikawarps
@sarahbeth345
@lasersharkdfb
@retirednmad
@wildmanbravo20
@owlhoot14
@jlsomebodymn
@icantthink69
@jjmidwestgirl1
@bubbles_elf

Top Mentioned
Top Mentioned in Entire Graph:
@cdcgov
@durcristian
@ibaraki_kouhou
@cdcdirector
@gino_2019_ncov
@ministeriosalud
@golden_pup
@weselymd
@chibaken_kouhou
@koreadca

Top Mentioned in G1:
@durcristian
@victorfyt
@iliarist
@danielbachatero
@progreazote_iii

Top Mentioned in G2:
@cdcgov
@hhsgov
@usedgov
@senduckworth
@cdcdirector
@pfizer
@cdctravel
@hnimanfc
@usanewsagency
@us_fda

Top Mentioned in G3:
@gino_2019_ncov
@louan07
@el_dic_tator
@gerardbondeau
@fitzlemonade1
@yvespdb
@christo36292542
@secretwar_
@pierrejovanovic
@dufailly1

Top Mentioned in G4:
@cdcdirector
@cdcgov
@usagov
@hhsgov
@senatorcollins
@donnayoungdc

Top Mentioned in G5:
@drml350phd
@martinfinne
@spzkaz
@youthsportsncys

Top Mentioned in G6:
@erictopol
@monicagandhi9
@greg_folkers
@aaronrodgers12
@patmcafeeshow
@cdcdirector
@jemelehill
@theatlantic
@moreandagain
@laurie_garrett

Top Mentioned in G7:
@golden_pup
@sgw94
@clarencehilljr

Top Mentioned in G8:
@carlsmythe
@alex_on_a14
@mcfunny
@kathmarval
@ghoppe
@mdrisette
@browningneelyn
@burgerlab12
@f250roush
@rich2al

Top Mentioned in G9:
@ibaraki_kouhou
@tsukubais
@covid_19_covid
@ryugasaki_city

Top Mentioned in G10:
@bigbird
@ericarhill
@potus
@joebiden
@granthpaulsen
@kirapeikoff
@sarahbeth345
@cernovich
@kerpen
@moredena

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@oldlady12345
@dichristine
@getvideobot
@tokoroten510
@hjlv2378
@jurylady5
@tradermacocosta
@matiere
@british_airways

Top Tweeters in G1:
@analiagoffi
@mariaceciliajuy
@juan3pueblo
@plivestrong
@gorriz70
@liliana20102
@virario3
@jcs_58
@galgo25582
@maryrifz

Top Tweeters in G2:
@rjber15
@7b73f39b85e1415
@sddphoto
@dancas2
@wadakashiho
@reneevoicebrand
@elkehollings
@yayayarndiva
@arcticfox_am_i
@auntsophie1

Top Tweeters in G3:
@getvideobot
@4tchat
@thalassa2008
@le_figaro
@bfmtv
@le_parisien
@20minutes
@lopezdominique2
@astsof
@yvespdb

Top Tweeters in G4:
@dichristine
@rosenchild
@cotey_mary
@miss_placed_
@dingabelle
@the_lady_red
@meomy1236
@budgothmog44
@bangtanourstars
@mig30m6

Top Tweeters in G5:
@matiere
@brontyman
@personalfitnes3
@m157q_news_rss
@didaclopez
@haolethai
@qzv00507
@jp_kenchan_dayo
@tailtame
@renissance_1

Top Tweeters in G6:
@bunrxm
@moreandagain
@markplackett1
@eilonwy24
@celestebyrne3
@jazzmanahn
@social_seer
@magicmark9
@nfl
@theatlantic

Top Tweeters in G7:
@cmargaronis
@sgw94
@nathanmillion
@clarencehilljr
@linneaengstrom3
@mlgg2
@marcushelton
@michael_house9
@prolongingcovid
@cbccalgary

Top Tweeters in G8:
@doritmi
@_mamadeb
@tony__heller
@denutrients
@markready47
@wjack76995
@takethatct
@keigh_see
@frankdelia7
@mcfunny

Top Tweeters in G9:
@noel_hasui
@tsuka_kazunee
@zyoushou
@shirayukihime_p
@sgr_kn
@nyankolers
@m9harrier
@dummyxtweet
@beer_prius
@contaxndigital

Top Tweeters in G10:
@1catherinesiena
@troubleddays
@elisha1022
@zaskyl
@cernovich
@mikediaz285
@kerpen
@granthpaulsen
@glenwoodfin
@moredena


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