SARS-NCOV, Twitter, 11/20/2021 12:27:37 PM, 266751


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SARS-NCOV_2021-11-20_04-12-01.xlsx
SARS-NCOV_2021-11-20_04-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 20, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3x4rppM
@kenn_ffci
@cdcgov
@feniks82948212
@lazaruslong13
@cdcdirector
@andornorlyn
@tatyana_md_phd
@danittp5
@ahs_media
@rootbrian_

Top hashtags:
#covid19
#covid
#ncov
#coronavirus
#コロナ
#新型コロナ
#sars
#2019ncov
#novel
#福岡県

Description:
Description
The graph represents a network of 1,080 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 Saturday, 20 November 2021 at 12:13 UTC.

The requested start date was Saturday, 20 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 13-day, 8-hour, 59-minute period from Saturday, 06 November 2021 at 03:27 UTC to Friday, 19 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 : 1080
Unique Edges : 714
Edges With Duplicates : 845
Total Edges : 1559
Number of Edge Types : 5
Mentions : 415
Retweet : 360
Tweet : 141
Replies to : 179
MentionsInRetweet : 464
Self-Loops : 169
Reciprocated Vertex Pair Ratio : 0.00398406374501992
Reciprocated Edge Ratio : 0.00793650793650794
Connected Components : 211
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 100
Maximum Edges in a Connected Component : 197
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.811646
Graph Density : 0.000864998455359901
Modularity : 0.650873
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,080 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 Saturday, 20 November 2021 at 12:13 UTC.

The requested start date was Saturday, 20 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 13-day, 8-hour, 59-minute period from Saturday, 06 November 2021 at 03:27 UTC to Friday, 19 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 : 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:
[56] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[49] https://pubmed.ncbi.nlm.nih.gov/34161702/
[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/science/science-briefs/sars-cov-2-transmission.html
[15] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[7] https://zhiyanleback2.blogspot.com/p/sars-like-lab-madeleak-event-in.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fmore%2Fmasking-science-sars-cov2.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10743-covid19-62.html

Top URLs in Tweet in G1:
[1] https://www.fda.gov/media/134922/download
[1] https://www.a549.com/
[1] https://blog.nomorefakenews.com/2021/10/14/the-virus-that-doesnt-exist-lies-and-consequences/

Top URLs in Tweet in G2:
[1] https://www.pnas.org/content/118/4/e2014564118
[1] https://jamanetwork.com/journals/jama/fullarticle/2776536
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G3:
[49] https://pubmed.ncbi.nlm.nih.gov/34161702/
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#:~:text=A%20study%20of%20an%20outbreak,70%25%20reduced%20risk
[1] https://www.medrxiv.org/content/10.1101/2021.10.14.21264959v1
[1] https://www.sciencedirect.com/science/article/pii/S1473309921006484
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html

Top URLs in Tweet in G4:
[1] https://www.google.com/sorry/index?continue=https://www.youtube.com/watch%3Fv%3Ds6Xbidm3aLw&q=EgS4SO-bGMyMn4wGIhDAH77JddzBaSL26QVQX3O6MgFy

Top URLs in Tweet in G5:
[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=
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10743-covid19-62.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/10760-covid19-40.html
[2] https://www.medrxiv.org/content/10.1101/2021.11.05.21264700v1?rss=1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html#:~:text=Data%20from%20surface%20survival%20studies,plastic%2C%20and%20glass%20
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[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=2021-11-16&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=2021-11-05&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=2021-11-06&search_in=LD

Top URLs in Tweet in G6:
[1] https://nextstrain.org/groups/blab/ncov/adaptive-evolution/2021-11-01?c=clade_membership

Top URLs in Tweet in G7:
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[2] https://www.who.int/csr/resources/publications/WHO_CDS_EPR_2007_6c.pdf?ua=1
[2] https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-2021.1
[2] https://www.mja.com.au/journal/2020/212/10/isolation-and-rapid-sharing-2019-novel-coronavirus-sars-cov-2-first-patient
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[1] https://www.sirillp.com/wp-content/uploads/2021/11/21-02152-Final-Response-Letter-Brehm-1.pdf
[1] https://www.who.int/news-room/feature-stories/detail/the-bharat-biotech-bbv152-covaxin-vaccine-against-covid-19-what-you-need-to-know
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fmore%2Fmasking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G8:
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/scientific-brief-sars-cov-2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-021-00251-4
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/research/2020/10/research-nasem-airborne-transmission-sars-cov2-workshop-proceedings.pdf?la=en&sc_lang=en&hash=F196ED04C47F71921BE022E1F0295D9F
[1] https://twitter.com/will6410/status/1457533221252571142
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html#refphf

Top URLs in Tweet in G9:
[2] https://www.biorxiv.org/content/10.1101/2020.01.30.927871v1
[1] https://medium.com/@yurideigin/lab-made-cov2-genealogy-through-the-lens-of-gain-of-function-research-f96dd7413748

Top URLs in Tweet in G10:
[1] https://www.bag.admin.ch/dam/bag/de/dokumente/mt/k-und-i/aktuelle-ausbrueche-pandemien/2019-nCoV/covid-19-woechentlicher-lagebericht.pdf.download.pdf/BAG_COVID-19_Woechentliche_Lage.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[160] cdc.gov
[54] nih.gov
[48] scholarsportal.info
[33] go.jp
[13] google.com
[7] twitter.com
[7] blogspot.com
[7] who.int
[6] gob.es
[6] publichealthontario.ca

Top Domains in Tweet in G1:
[1] fda.gov
[1] a549.com
[1] nomorefakenews.com

Top Domains in Tweet in G2:
[1] pnas.org
[1] jamanetwork.com
[1] cdc.gov

Top Domains in Tweet in G3:
[49] nih.gov
[2] cdc.gov
[1] medrxiv.org
[1] sciencedirect.com

Top Domains in Tweet in G4:
[1] google.com

Top Domains in Tweet in G5:
[48] scholarsportal.info
[17] cdc.gov
[11] go.jp
[3] medrxiv.org
[3] bvsalud.org
[3] medical-incinerator.com
[3] wastecos.com
[2] twitter.com
[2] gob.es
[1] admin.ch

Top Domains in Tweet in G6:
[1] nextstrain.org

Top Domains in Tweet in G7:
[7] cdc.gov
[5] who.int
[2] com.au
[1] sirillp.com

Top Domains in Tweet in G8:
[10] cdc.gov
[1] nature.com
[1] publichealthontario.ca
[1] twitter.com

Top Domains in Tweet in G9:
[2] biorxiv.org
[1] medium.com

Top Domains in Tweet in G10:
[1] admin.ch

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[64] covid19
[36] covid
[35] ncov
[34] coronavirus
[33] コロナ
[31] 新型コロナ
[31] sars
[30] 2019ncov
[29] novel
[27] 福岡県



Top Hashtags in Tweet in G5:
[25] covid19
[24] sarscov2
[2] covid
[2] clean
[1] sars_cov_2
[1] syndemic
[1] teampki
[1] coronavirus
[1] rtalb
[1] glryh

Top Hashtags in Tweet in G6:
[2] ncov2019

Top Hashtags in Tweet in G8:
[1] vaccinated
[1] sars_cov_2

Top Hashtags in Tweet in G9:
[1] covid19
[1] sars
[1] cov2
[1] ncov
[1] virology
[1] gainoffunction
[1] gof
[1] wuhan
[1] wiv

Top Words
Top Words in Tweet in Entire Graph:
[323] sars
[290] cov
[192] 2019
[182] ncov
[177] covid
[168] 19
[133] cdc
[117] delta
[98] cc
[89] coronavirus

Top Words in Tweet in G1:
[144] 2019
[74] ncov
[70] jesli
[70] dobrze
[70] zrozumialem
[70] dokumentu
[70] cdc
[70] novel
[70] coronavirus
[70] time

Top Words in Tweet in G2:
[2] mcfunny
[2] cdc
[2] 2019
[2] properly

Top Words in Tweet in G3:
[98] cc
[49] covid
[49] 19
[49] vaccines
[49] reduce
[49] sars
[49] cov
[49] transmission
[49] yes
[49] erictopol

Top Words in Tweet in G4:
[50] 14
[50] gobiernos
[50] partidos
[50] políticos
[50] están
[50] metidos
[50] lleno
[50] engaño
[50] nom
[50] agenda

Top Words in Tweet in G5:
[79] covid
[69] 19
[62] sars
[62] cov
[48] articles
[48] scholars
[48] portal
[46] 2021
[37] research
[29] 11

Top Words in Tweet in G6:
[90] delta
[48] sars
[46] viruses
[45] trvrb
[45] point
[45] basically
[45] circulating
[45] cov
[45] arose
[45] close

Top Words in Tweet in G7:
[11] gt
[8] 19
[7] cdc
[5] 20
[5] cdcdirector
[5] covid
[4] sars_ncov_2
[4] 21
[4] pommedapie59
[4] aka

Top Words in Tweet in G8:
[11] cdcgov
[5] transmission
[4] sars
[4] cov
[4] troppo
[4] capisco
[3] evidence
[3] artículo
[2] jljcolorado
[2] 24

Top Words in Tweet in G9:
[14] hear
[14] anyone
[14] claim
[14] know
[14] virus
[14] didn
[14] come
[14] lab
[14] don
[14] buy

Top Words in Tweet in G10:
[19] influenza
[18] ach
[18] kuck
[18] mal
[18] zurück
[18] nein
[18] hauptsächlich
[18] kursieren
[18] rhinoviren
[18] woche

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[285] sars,cov
[134] covid,19
[111] 2019,ncov
[80] novel,coronavirus
[76] coronavirus,2019
[75] 2019,novel
[74] cdc,2019
[74] ncov,time
[74] time,pcr
[73] pcr,diagnostic

Top Word Pairs in Tweet in G1:
[74] 2019,ncov
[70] jesli,dobrze
[70] dobrze,zrozumialem
[70] zrozumialem,dokumentu
[70] dokumentu,cdc
[70] cdc,2019
[70] 2019,novel
[70] novel,coronavirus
[70] coronavirus,2019
[70] ncov,time

Top Word Pairs in Tweet in G3:
[49] covid,19
[49] 19,vaccines
[49] vaccines,reduce
[49] reduce,sars
[49] sars,cov
[49] cov,transmission
[49] transmission,yes
[49] yes,cc
[49] cc,erictopol
[49] erictopol,cc

Top Word Pairs in Tweet in G4:
[50] 14,gobiernos
[50] gobiernos,partidos
[50] partidos,políticos
[50] políticos,están
[50] están,metidos
[50] metidos,lleno
[50] lleno,engaño
[50] engaño,nom
[50] nom,agenda
[50] agenda,2030

Top Word Pairs in Tweet in G5:
[59] sars,cov
[52] covid,19
[48] scholars,portal
[25] 2021,11
[24] articles,covid
[24] portal,périodiques
[24] 19,scholars
[24] #covid19,#sarscov2
[24] portal,journals
[23] drml350phd,interesting

Top Word Pairs in Tweet in G6:
[45] point,basically
[45] basically,circulating
[45] circulating,sars
[45] sars,cov
[45] cov,delta
[45] delta,delta
[45] delta,viruses
[45] viruses,arose
[45] arose,close
[45] close,current

Top Word Pairs in Tweet in G7:
[4] 19,20
[4] 20,21
[4] gt,gt
[4] covid,19
[4] 19,isolated
[3] sars_ncov_2,19
[3] lazaruslong13,kprather88
[3] kprather88,cdcdirector
[3] cdcdirector,cpho_canada
[3] cpho_canada,cdc

Top Word Pairs in Tweet in G8:
[4] sars,cov
[2] 24,tenth
[2] tenth,limited
[2] limited,evidence
[2] evidence,support
[2] support,another
[2] another,route
[2] route,transmission
[2] transmission,dominant
[2] dominant,add

Top Word Pairs in Tweet in G9:
[14] hear,anyone
[14] anyone,claim
[14] claim,know
[14] know,virus
[14] virus,didn
[14] didn,come
[14] come,lab
[14] lab,don
[14] don,buy
[14] buy,well

Top Word Pairs in Tweet in G10:
[18] ach,kuck
[18] kuck,mal
[18] mal,influenza
[18] influenza,zurück
[18] zurück,nein
[18] nein,hauptsächlich
[18] hauptsächlich,kursieren
[18] kursieren,rhinoviren
[18] rhinoviren,woche
[18] woche,44

Top Replied-To
Top Replied-To in Entire Graph:
@piet457
@jimbocrofts
@tlar
@coloradodeano
@strandz_
@pierre_b_y
@cshooddack
@dannysmith31
@bartosvl
@amiramantoura

Top Replied-To in G2:
@mcfunny
@volatileamine

Top Replied-To in G3:
@barakamalaharam

Top Replied-To in G7:
@ladymuljh
@wef
@robertkennedyjr
@jvipondmd
@lazaruslong13
@amelzcamel
@orlando74180344
@sri_srikrishna
@hillarymaxwell

Top Replied-To in G8:
@solomexicanos
@don_milton
@uedrus
@alexanderrusso
@m_grill

Top Replied-To in G9:
@piet457

Top Mentioned
Top Mentioned in Entire Graph:
@feniks82948212
@danittp5
@erictopol
@monicagandhi9
@greg_folkers
@trvrb
@drml350phd
@marcbuergi
@cdcgov
@ydeigin

Top Mentioned in G1:
@feniks82948212
@mirkraszewski

Top Mentioned in G2:
@annejackson18
@cosmicbayb
@sarah47178947
@liamkav
@mcfunny
@alan777774
@takethatct
@mdrisette
@lotusctr
@volpiranyas

Top Mentioned in G3:
@erictopol
@monicagandhi9
@greg_folkers
@gabrielshapiro4
@deejitv
@realdailywire

Top Mentioned in G4:
@danittp5

Top Mentioned in G5:
@drml350phd
@bruce_sunny
@oorja_label

Top Mentioned in G6:
@trvrb

Top Mentioned in G7:
@cdcdirector
@pommedapie59
@itsjillgardner
@drtomfrieden
@who
@lazaruslong13
@kprather88
@cpho_canada
@hhsgov
@docjeffd

Top Mentioned in G8:
@cdcgov
@jljcolorado
@estadioakron
@chivas
@fmf
@luciomm1
@huleeyo
@solomexicanos
@nature
@kprather88

Top Mentioned in G9:
@ydeigin
@maryzinsidusco1
@rene_devries
@rwmalonemd

Top Mentioned in G10:
@marcbuergi

Top Tweeters
Top Tweeters in Entire Graph:
@matiere
@thehill
@gooochin
@amyayers16
@barandaand
@roripierpont1
@anakreontyk
@markplackett1
@redboybroken
@cnnindonesia

Top Tweeters in G1:
@anakreontyk
@bozena_z58
@tuja_tajos
@jadwigasokolow1
@ninjaacces
@gimzaj
@g_woda
@katarzy39952539
@jarosawk2
@kalinaczerwona

Top Tweeters in G2:
@doritmi
@_mamadeb
@tony__heller
@denutrients
@markready47
@takethatct
@frankdelia7
@mcfunny
@carlsmythe
@annejackson18

Top Tweeters in G3:
@markplackett1
@eilonwy24
@celestebyrne3
@jazzmanahn
@social_seer
@kelownagurl
@coasterpm
@seekingreality7
@donnadon9
@realdailywire

Top Tweeters in G4:
@barandaand
@losemarrp
@mcarolanunez
@mwords25
@eelenavg
@manu_k_tala
@moncholab
@samuelv2002
@vinoteco2
@nahummarti

Top Tweeters in G5:
@matiere
@gooochin
@didaclopez
@donsw2
@giovannidalloli
@kumadakaoru
@taro_010
@bruce_sunny
@msramming
@mehmet332602

Top Tweeters in G6:
@amyayers16
@roripierpont1
@redboybroken
@demiurgotuiter
@ygjumi
@mig30m6
@rralstonagile
@gstewtwo
@monasmitte
@francodespecho

Top Tweeters in G7:
@crimemind3
@kenn_ffci
@wef
@itsjillgardner
@un
@who
@sandyhi2244
@natureboyrr
@lazaruslong13
@jvipondmd

Top Tweeters in G8:
@ak2webd3
@luciomm1
@chivas
@alexanderrusso
@ajlamesa
@fmf
@signorernesto
@nature
@uedrus
@cdcgov

Top Tweeters in G9:
@natalyrmk
@fabiusmaximus01
@rene_devries
@freedom2037
@redway420
@david32856757
@kidai__
@altamirapalomar
@nebirgitta
@islipraphaelle

Top Tweeters in G10:
@viennasky
@skywalka_de
@swaziswannler
@kumadan3
@marcbuergi
@gerotara
@tinu661
@newnormality20
@evawolf19
@hn202_over


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