SARS-NCOV, Twitter, 11/30/2021 7:57:13 PM, 267276


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SARS-NCOV_2021-11-30_05-04-02.xlsx
SARS-NCOV_2021-11-30_05-04-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3ln6nhp
@_24_com
@trvrb
@nawa_kana
@timrunshismouth
@juliethoren
@motoisuzuki
@k9fcr
@yurakusai
@j_sato
@adultspotdiffer

Top hashtags:
#covid19
#coronavirus
#covid
#ncov
#sars
#コロナ
#novel
#sarscov2
#corona
#新型コロナ

Description:
Description
The graph represents a network of 2,451 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, 30 November 2021 at 13:06 UTC.

The requested start date was Tuesday, 30 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, 20-hour, 19-minute period from Tuesday, 16 November 2021 at 04:21 UTC to Tuesday, 30 November 2021 at 00:41 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 : 2451
Unique Edges : 1613
Edges With Duplicates : 2986
Total Edges : 4599
Number of Edge Types : 5
Replies to : 301
Mentions : 590
Retweet : 1356
MentionsInRetweet : 2031
Tweet : 321
Self-Loops : 351
Reciprocated Vertex Pair Ratio : 0.00180115273775216
Reciprocated Edge Ratio : 0.00359582883854729
Connected Components : 388
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 1101
Maximum Edges in a Connected Component : 2833
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.740355
Graph Density : 0.00046311792770964
Modularity : 0.573822
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,451 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, 30 November 2021 at 13:06 UTC.

The requested start date was Tuesday, 30 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, 20-hour, 19-minute period from Tuesday, 16 November 2021 at 04:21 UTC to Tuesday, 30 November 2021 at 00:41 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:
[111] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[72] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[61] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[29] https://www.science.org/content/article/patience-crucial-why-we-won-t-know-weeks-how-dangerous-omicron?cookieSet=1
[29] https://www.telegraph.co.uk/global-health/science-and-disease/south-african-doctor-raised-alarm-omicron-variant-says-symptoms/
[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=
[19] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[18] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324311/
[13] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-info.html

Top URLs in Tweet in G1:
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/cdc-role-surveillance.html
[1] https://nextstrain.org/ncov/gisaid/global

Top URLs in Tweet in G2:
[44] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[39] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[16] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324311/
[5] https://laverdadofende.blog/2021/11/26/nuevo-estudio-demuestra-que-las-vacunas-de-arnm-favorecen-el-crecimiento-del-cancer-la-subunidad-s2-de-sars-ncov-2-interactua-con-la-proteina-supresora-de-tumores-p53-y-brca/
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[3] https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC7324311/
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-info.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html
[2] https://www.cdc.gov/csels/dls/locs/2021/07-21-2021-lab-alert-Changes_CDC_RT-PCR_SARS-CoV-2_Testing_1.html

Top URLs in Tweet in G3:
[4] https://www.news-medical.net/news/20211128/Identifying-the-spread-of-novel-B11523-SARS-CoV-2.aspx
[1] https://nextstrain.org/groups/neherlab/ncov/21K
[1] https://genome.ucsc.edu/cgi-bin/hgPhyloPlace
[1] https://nextstrain.org/groups/blab/ncov/adaptive-evolution/2021-11-01?c=clade_membership

Top URLs in Tweet in G4:
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html

Top URLs in Tweet in G5:
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html

Top URLs in Tweet in G6:
[35] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[3] https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1033268/Respiratory_Evidence_Panel_Evidence_Overview.pdf
[3] https://www.gov.uk/government/publications/face-coverings-and-covid-19-statement-from-an-expert-panel/the-role-of-face-coverings-in-mitigating-the-transmission-of-sars-cov-2-virus-statement-from-the-respiratory-evidence-panel
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[1] https://gov.uk/
[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://wwwnc.cdc.gov/eid/article/26/6/20-0516_article
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Farticle%2FS0140-6736%2821%2900869-2%2Ffulltext&rc=0
[1] https://www.ed.ac.uk/covid-19-response/latest-news/masks-block-spread-of-covid-linked-droplets

Top URLs in Tweet in G7:
[1] https://nextstrain.org/ncov/open/asia
[1] https://www.who.int/news/item/26-11-2021-classification-of-omicron-(b.1.1.529)-sars-cov-2-variant-of-concern
[1] https://nextstrain.org/ncov/gisaid/africa

Top URLs in Tweet in G8:
[1] https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC7324311/
[1] https://www.fda.gov/media/134922/download
[1] https://www.a549.com/

Top URLs in Tweet in G9:
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.discovery.co.za/corporate/covid19-booster-shots
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[1] https://www.news-medical.net/news/20200511/South-Africa-obtains-first-laboratory-isolate-of-SARS-CoV-2.aspx

Top URLs in Tweet in G10:
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e1.htm
[1] https://www.cdc.gov/mmwr/volumes/69/wr/mm6947e2.htm
[1] https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e3.htm

Top Domains
Top Domains in Tweet in Entire Graph:
[243] cdc.gov
[148] go.jp
[52] scholarsportal.info
[31] nih.gov
[30] science.org
[30] co.uk
[23] nextstrain.org
[23] who.int
[22] publichealthontario.ca
[18] irozhlas.cz

Top Domains in Tweet in G1:
[4] cdc.gov
[1] nextstrain.org

Top Domains in Tweet in G2:
[95] go.jp
[26] cdc.gov
[21] nih.gov
[12] ne.jp
[7] twitter.com
[6] laverdadofende.blog
[4] nextstrain.org
[2] bvsalud.org
[2] gob.es
[2] elsevierhealth.com

Top Domains in Tweet in G3:
[4] news-medical.net
[2] nextstrain.org
[1] ucsc.edu

Top Domains in Tweet in G4:
[5] go.jp

Top Domains in Tweet in G5:
[9] go.jp

Top Domains in Tweet in G6:
[42] cdc.gov
[7] gov.uk
[2] elsevierhealth.com
[2] ac.uk
[1] pnas.org
[1] sciencemag.org
[1] royalsociety.org
[1] jamanetwork.com

Top Domains in Tweet in G7:
[2] nextstrain.org
[1] who.int

Top Domains in Tweet in G8:
[1] nih.gov
[1] fda.gov
[1] a549.com

Top Domains in Tweet in G9:
[5] cdc.gov
[1] co.za
[1] news-medical.net

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[73] covid19
[38] coronavirus
[38] covid
[37] ncov
[36] sars
[32] コロナ
[32] novel
[31] sarscov2
[31] corona
[30] 新型コロナ



Top Hashtags in Tweet in G2:
[3] covid19
[2] オミクロン株
[2] tbsスタンバイ
[1] cdc
[1] covid
[1] jcrb
[1] vtcnews
[1] vietnam
[1] immunology
[1] effectiveness

Top Hashtags in Tweet in G3:
[4] sars
[4] sarscov2
[4] coronavirus
[4] covid
[4] ncov
[2] b11523
[2] e484k
[2] s494p
[2] spikeprotein
[1] ncov2019

Top Words
Top Words in Tweet in Entire Graph:
[1269] sars
[1188] cov
[519] lab
[511] labs
[499] work
[488] testing
[488] strain
[486] majority
[486] timrunshismouth
[484] zero

Top Words in Tweet in G1:
[485] timrunshismouth
[484] sars
[484] cov
[482] work
[482] lab
[482] majority
[482] labs
[482] testing
[482] zero
[482] capability

Top Words in Tweet in G2:
[191] sars
[168] cov
[91] 2の変異株b
[57] ncov
[47] 529系統
[47] オミクロン株
[45] 529系統について
[45] について
[43] 第1報
[43] 第2報

Top Words in Tweet in G3:
[140] trvrb
[130] long
[130] branch
[129] appear
[129] artifact
[129] subsampling
[129] covariants
[129] focal
[129] build
[129] pulls

Top Words in Tweet in G4:
[143] sars
[143] cov
[132] 国立感染症研究所から
[132] ο株についてまとまった報告あり
[132] 興味深いのは香港の話
[132] ab2例とも2回接種後
[132] ホテル隔離中にa
[132] b感染させた
[132] aがマスクせず部屋のドア開けたくらいしか接点なし
[132] 環境から25

Top Words in Tweet in G5:
[151] オミクロン株
[145] sars
[145] cov
[143] 2の変異株b
[102] 529系統
[85] 感染
[82] 国立感染症研究所は
[80] motoisuzuki
[52] 過去最も多様性があり
[52] 伝播性の増加

Top Words in Tweet in G6:
[37] juliahb1
[23] scientific
[23] briefing
[22] cdc
[19] grumpyolddoc
[17] little
[17] light
[17] reading
[15] call
[15] pointless

Top Words in Tweet in G7:
[75] viruses
[74] clade
[74] 21k
[74] omicron
[73] designated
[73] lineage
[73] 529
[73] variant
[73] concern
[73] named

Top Words in Tweet in G8:
[126] 2019
[65] ncov
[63] jesli
[63] dobrze
[63] zrozumialem
[63] dokumentu
[63] cdc
[63] novel
[63] coronavirus
[63] time

Top Words in Tweet in G9:
[19] gt
[16] 19
[15] 20
[15] 21
[14] sars_ncov_2
[11] pommedapie59
[8] virus
[7] itsjillgardner
[6] south
[6] africa

Top Words in Tweet in G10:
[3] more

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1173] sars,cov
[483] timrunshismouth,work
[483] work,lab
[483] lab,majority
[483] majority,labs
[483] labs,testing
[483] testing,sars
[483] cov,zero
[483] zero,capability
[483] capability,telling

Top Word Pairs in Tweet in G1:
[484] sars,cov
[482] timrunshismouth,work
[482] work,lab
[482] lab,majority
[482] majority,labs
[482] labs,testing
[482] testing,sars
[482] cov,zero
[482] zero,capability
[482] capability,telling

Top Word Pairs in Tweet in G2:
[163] sars,cov
[91] cov,2の変異株b
[46] 2の変異株b,529系統
[45] 2の変異株b,529系統について
[45] 529系統,オミクロン株
[44] オミクロン株,について
[43] について,第2報
[42] 529系統について,第1報
[25] sars,ncov
[21] drml350phd,interesting

Top Word Pairs in Tweet in G3:
[130] long,branch
[129] branch,appear
[129] appear,artifact
[129] artifact,subsampling
[129] subsampling,covariants
[129] covariants,focal
[129] focal,build
[129] build,pulls
[129] pulls,related
[129] related,genomes

Top Word Pairs in Tweet in G4:
[143] sars,cov
[132] 国立感染症研究所から,ο株についてまとまった報告あり
[132] ο株についてまとまった報告あり,興味深いのは香港の話
[132] 興味深いのは香港の話,ab2例とも2回接種後
[132] ab2例とも2回接種後,ホテル隔離中にa
[132] ホテル隔離中にa,b感染させた
[132] b感染させた,aがマスクせず部屋のドア開けたくらいしか接点なし
[132] aがマスクせず部屋のドア開けたくらいしか接点なし,環境から25
[132] 環境から25,87検体陽性
[132] 87検体陽性,sars

Top Word Pairs in Tweet in G5:
[145] sars,cov
[143] cov,2の変異株b
[102] 2の変異株b,529系統
[102] 529系統,オミクロン株
[80] motoisuzuki,sars
[52] 過去最も多様性があり,感染
[52] 感染,伝播性の増加
[52] 伝播性の増加,既存ワクチン効果の低下
[52] 既存ワクチン効果の低下,再感染リスク増加が強く懸念
[52] 再感染リスク増加が強く懸念,重篤度は疫学情報がなく不明

Top Word Pairs in Tweet in G6:
[22] scientific,briefing
[20] briefing,cdc
[18] grumpyolddoc,juliahb1
[17] little,light
[17] light,reading
[15] juliahb1,little
[15] reading,call
[15] call,pointless
[15] pointless,pieces
[15] pieces,cloth

Top Word Pairs in Tweet in G7:
[73] designated,lineage
[73] lineage,529
[73] 529,clade
[73] clade,21k
[73] 21k,viruses
[73] viruses,variant
[73] variant,concern
[73] concern,named
[73] named,omicron
[73] omicron,co

Top Word Pairs in Tweet in G8:
[63] jesli,dobrze
[63] dobrze,zrozumialem
[63] zrozumialem,dokumentu
[63] dokumentu,cdc
[63] cdc,2019
[63] 2019,novel
[63] novel,coronavirus
[63] coronavirus,2019
[63] 2019,ncov
[63] ncov,time

Top Word Pairs in Tweet in G9:
[15] 19,20
[15] 20,21
[14] sars_ncov_2,19
[6] south,africa
[4] pommedapie59,itsjillgardner
[4] corona,virus
[4] 21,gt
[3] limited,sars_ncov_2
[3] issues,matters
[3] gt,gt

Top Replied-To
Top Replied-To in Entire Graph:
@juliahb1
@nmcg24375
@lenart_jl
@timrunshismouth
@essexpr
@nickhudsonct
@dfisman
@ticerichard
@theprixknxtdoor
@arinbjorn_j

Top Replied-To in G1:
@timrunshismouth
@mdfitness1975

Top Replied-To in G3:
@medrxivpreprint

Top Replied-To in G6:
@juliahb1
@essexpr
@ticerichard
@theprixknxtdoor
@desmondswayne
@randomuser3217b
@stevenlost33
@emmakennytv
@tonyhinton2016
@manc_crypto

Top Replied-To in G9:
@nickhudsonct
@thesun
@robertkennedyjr
@ladymuljh
@gwenngwenya
@telegraph
@iol
@angry_staffer
@daltonroad
@eskom_sa

Top Replied-To in G10:
@michaeltmcc
@tragiicomedy

Top Mentioned
Top Mentioned in Entire Graph:
@timrunshismouth
@juliethoren
@trvrb
@adultspotdiffer
@motoisuzuki
@who
@nextstrain
@feniks82948212
@invesdoctor
@juliahb1

Top Mentioned in G1:
@timrunshismouth
@juliethoren
@angelabelcamino
@njreligious

Top Mentioned in G2:
@drml350phd
@oorja_label

Top Mentioned in G3:
@trvrb
@newsmedical
@lsmuni
@medrxivpreprint

Top Mentioned in G4:
@adultspotdiffer
@kh_hokujinigrtc
@chichamin1
@motoisuzuki
@invesdoctor

Top Mentioned in G5:
@motoisuzuki
@invesdoctor
@neznezxmail
@rough__genki
@trvrb
@adultspotdiffer

Top Mentioned in G6:
@juliahb1
@grumpyolddoc
@10downingstreet
@jamesfwells
@dgurdasani1
@tonyhinton2016
@vivjones10
@nadhimzahawi
@desmondswayne
@essexpr

Top Mentioned in G7:
@who
@nextstrain
@trvrb

Top Mentioned in G8:
@feniks82948212
@xenosstinkriti

Top Mentioned in G9:
@pommedapie59
@itsjillgardner
@crimemind3
@who
@mercsharoncar
@telegraph
@tuliodna
@moshabelamosa
@healthza
@governmentza

Top Mentioned in G10:
@bsherrle
@karlton111
@nygpapi2000
@trek_the_globe
@markchesney
@lostintheburbs
@tip_ct
@commonpatriot
@vonninnyhammer
@forrestfernmist

Top Tweeters
Top Tweeters in Entire Graph:
@rk70534
@pairsonnalitesu
@matiere
@commonpatriot
@inabster
@sosorasora3
@sino_p928
@sippomagari
@citrus_kyoto
@madfall1213

Top Tweeters in G1:
@bonbee81
@raeganlady
@pixiedust5135
@reneemccone
@k1ssmygr1ts
@perchance99
@mpg25mary
@mharry860
@i_am_niteangel
@jeffreymadwisc

Top Tweeters in G2:
@pairsonnalitesu
@matiere
@gooochin
@uchida_kawasaki
@didaclopez
@magepa
@maria_tachibana
@gcyn
@moetaxi
@iinalab

Top Tweeters in G3:
@rk70534
@inabster
@lizditz
@menabster
@adunlea
@deepvard
@elkehollings
@bassaces1
@southerngemgal
@eilonwy24

Top Tweeters in G4:
@sino_p928
@satosuguru
@9b3or2qditmbdcd
@hounds02
@r_hexar
@peko409
@ikotto
@vail_visconti
@kagamimasashi
@tubakijyou

Top Tweeters in G5:
@sosorasora3
@madfall1213
@eimc3z
@kondohi
@ds20wk
@supermnemonic
@v09doap8eqgwlmp
@makoto_souji
@jyunichikuwaki
@howling18

Top Tweeters in G6:
@vg123e
@saffiya_khan1
@spoonhead8
@essexpr
@vivjones10
@ramblingproses
@juliahb1
@suebarnish
@grumpyolddoc
@neildance

Top Tweeters in G7:
@citrus_kyoto
@joetsuki
@monasmitte
@sjunic
@mag2012ge
@nordicgeo
@drkynast
@fluxcapdoodah
@findingfirn
@bakom_skynket

Top Tweeters in G8:
@anakreontyk
@bozena_z58
@xenosstinkriti
@jadwigasokolow1
@ninjaacces
@gimzaj
@g_woda
@kalinaczerwona
@lili_pom112
@annagaranin

Top Tweeters in G9:
@thesun
@telegraph
@thedailybeast
@iol
@ddavisonnc
@vusisambo
@crimemind3
@kenn_ffci
@alfred_cabonena
@badgesmiley

Top Tweeters in G10:
@commonpatriot
@trumper_tantrum
@forrestfernmist
@joimonki
@poguemoran
@kalymera1960
@famoussheymus
@nickdone8
@angryfleas
@almabona