SARS-COV, Twitter, 5/23/2022 11:15:44 AM, 276886


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SARS-COV_2022-05-23_02-45-02.xlsx
SARS-COV_2022-05-23_02-45-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 23, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/3wCm0HN
@michaelbathurst
@daoyu15
@juancarlossaid
@traderat12
@capitolsheila
@chargrille
@kathmlee1
@nuala1990
@tomasoantonacci
@jlesgards

Top hashtags:
#hepatitis
#art
#artist
#twitterart
#covid19
#diseaseoc
#originaloc
#oc

Description:
Description
The graph represents a network of 1,691 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 23 May 2022 at 09:46 UTC.

The requested start date was Monday, 23 May 2022 at 00:01 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, 6-hour, 12-minute period from Monday, 09 May 2022 at 05:11 UTC to Sunday, 22 May 2022 at 11:24 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 : 1691
Unique Edges : 1000
Edges With Duplicates : 1895
Total Edges : 2895
Number of Edge Types : 5
Replies to : 256
Mentions : 648
Tweet : 197
Retweet : 774
MentionsInRetweet : 1020
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.00410798122065728
Reciprocated Edge Ratio : 0.00818234950321449
Connected Components : 293
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 313
Maximum Edges in a Connected Component : 815
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.417052
Graph Density : 0.000598714391190395
Modularity : 0.594846
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,691 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 23 May 2022 at 09:46 UTC.

The requested start date was Monday, 23 May 2022 at 00:01 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, 6-hour, 12-minute period from Monday, 09 May 2022 at 05:11 UTC to Sunday, 22 May 2022 at 11:24 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-COV
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:
[8] https://archive.ph/yXjt4
[7] https://m-cam.com/wp-content/uploads/2020/04/20200403_SARS_CoV_Patent_Corpus_Lit_Review.pdf
[5] https://pubmed.ncbi.nlm.nih.gov/15507655/
[4] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-021-01557-z
[4] https://archive.ph/71Di3
[4] https://pubmed-ncbi-nlm-nih-gov.translate.goog/15507655/
[4] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618
[3] https://archive.ph/dorVk
[3] https://scholar.google.de/scholar?hl=de&as_sdt=0%2C5&as_vis=1&q=covid+vaccine+2005&btnG=#d=gs_qabs&t=1652644341192&u=%23p%3Dca_Gj26Pu3cJ
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111780/

Top URLs in Tweet in G2:
[8] https://archive.ph/yXjt4
[4] https://archive.ph/71Di3
[3] https://archive.ph/dorVk
[2] https://pubmed.ncbi.nlm.nih.gov/21937658/
[2] https://insight.jci.org/articles/view/123158
[2] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035421
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111780/
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275913
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=276371
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112560/

Top URLs in Tweet in G3:
[1] https://twitter.com/Carene1984/status/1527263299926106112

Top URLs in Tweet in G4:
[1] https://www.biorxiv.org/content/10.1101/2022.05.07.491038v1.full.pdf
[1] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=https%3A%2F%2Flink.springer.com%2Fcontent%2Fpdf%2F10.1007%252F978-0-387-33012-9_108.pdf%3Fmsclkid%3D46df5624cfa911ec9f0bbbd206a4afe5
[1] https://twitter.com/DSmith3_/status/1523652326099415041
[1] https://cxoherald.com/instashield-a-rural-innovator-innovates-technology-to-kill-sars-cov/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239502/
[1] https://www.jstage.jst.go.jp/article/csf/advpub/0/advpub_21047/_article
[1] https://www.bionity.com/en/news/1175995/model-finds-covid-19-deaths-among-elderly-may-be-due-to-genetic-limit-on-cell-division.html?WT.mc_id=ca0068
[1] https://www.mdpi.com/1999-4915/14/4/776
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41467-021-22362-2
[1] https://twitter.com/eefjerammeloo/status/1523201825800826880

Top URLs in Tweet in G7:
[1] https://www.inserm.fr/dossier/coronavirus-sars-cov-et-mers-cov/

Top URLs in Tweet in G8:
[1] https://twitter.com/sparkleink/status/1525274854936567808
[1] https://twitter.com/chargrille/status/1523611635612409856

Top URLs in Tweet in G9:
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141560/
[1] https://www.twitch.tv/gigaohmbiological

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[10] hepatitis
[9] art
[9] artist
[9] twitterart
[9] covid19
[8] diseaseoc
[8] originaloc
[8] oc
[8] sarschan
[8] sars



Top Hashtags in Tweet in G2:
[3] sarscov2
[3] covid19
[3] mers
[3] gain
[3] function
[2] pseudotyped
[2] hiv
[2] 293t
[2] baric
[2] hepatitis

Top Hashtags in Tweet in G4:
[3] coronavirus
[3] health
[2] covid19
[2] infographic
[2] virus
[2] fever
[2] cough
[2] flu
[2] respiratory
[2] pneumonia

Top Words
Top Words in Tweet in Entire Graph:
[1184] sars
[1169] cov
[394] gripe
[210] animales
[204] qu'on
[201] etc
[199] viruela
[197] aviar
[197] porcina
[197] simio

Top Words in Tweet in G1:
[394] gripe
[197] aviar
[197] porcina
[197] sars
[197] cov
[197] viruela
[197] simio
[197] etc
[197] interacción
[197] humanos

Top Words in Tweet in G2:
[117] cov
[104] sars
[36] inactivated
[25] sars1
[25] capitolsheila
[24] daoyu15
[23] vax
[21] wuhan
[21] used
[19] same

Top Words in Tweet in G3:
[202] qu'on
[101] délire
[101] quand
[101] ce
[101] interdit
[101] études
[101] gains
[101] fonction
[101] contrôle
[101] labos

Top Words in Tweet in G4:
[131] cov
[125] sars
[16] virus
[10] mers
[9] 19
[8] proteína
[8] covid
[8] asap
[7] animales
[7] protein

Top Words in Tweet in G5:
[128] ba
[128] 12
[128] birileri
[65] sars
[64] belki
[64] yine
[64] bi
[64] diyecek
[64] kızacak
[64] bana

Top Words in Tweet in G6:
[4] cov
[3] sars
[2] zaynjaffer
[2] animals
[2] anti
[2] parasitic

Top Words in Tweet in G7:
[76] covid
[76] 19
[39] sars
[39] cov
[38] dossier
[38] très
[38] complet
[38] inserm
[38] auquel
[38] avons

Top Words in Tweet in G8:
[21] chargrille
[20] cases
[19] reporting
[19] helpful
[18] county
[18] stopped
[18] weekly
[18] back
[18] beginning
[18] april

Top Words in Tweet in G9:
[29] sars
[29] cov
[28] gp41
[28] s2
[27] hiv
[27] analogous
[27] membrane
[26] let's
[26] revisit
[26] topic

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1118] sars,cov
[199] cov,viruela
[197] gripe,aviar
[197] aviar,gripe
[197] gripe,porcina
[197] porcina,sars
[197] viruela,simio
[197] simio,etc
[197] etc,interacción
[197] interacción,humanos

Top Word Pairs in Tweet in G1:
[197] gripe,aviar
[197] aviar,gripe
[197] gripe,porcina
[197] porcina,sars
[197] sars,cov
[197] cov,viruela
[197] viruela,simio
[197] simio,etc
[197] etc,interacción
[197] interacción,humanos

Top Word Pairs in Tweet in G2:
[99] sars,cov
[18] inactivated,sars
[17] 2017,wuhan
[17] wuhan,university
[17] university,scientists
[17] scientists,testing
[17] testing,inactivated
[17] inactivated,sars1
[17] sars1,vax
[17] vax,monkeys

Top Word Pairs in Tweet in G3:
[101] délire,quand
[101] quand,ce
[101] ce,qu'on
[101] qu'on,interdit
[101] interdit,études
[101] études,gains
[101] gains,fonction
[101] fonction,qu'on
[101] qu'on,contrôle
[101] contrôle,labos

Top Word Pairs in Tweet in G4:
[119] sars,cov
[8] cov,sars
[8] mers,cov
[6] animales,control
[5] covid,19
[5] cov,mers
[4] rmva,expresa
[4] expresa,proteína
[4] cov,19
[4] cov,spike

Top Word Pairs in Tweet in G5:
[128] ba,12
[64] 12,belki
[64] belki,birileri
[64] birileri,yine
[64] yine,bi
[64] bi,diyecek
[64] diyecek,birileri
[64] birileri,kızacak
[64] kızacak,bana
[64] bana,ama

Top Word Pairs in Tweet in G6:
[3] sars,cov
[2] anti,parasitic

Top Word Pairs in Tweet in G7:
[76] covid,19
[39] sars,cov
[38] dossier,très
[38] très,complet
[38] complet,inserm
[38] inserm,covid
[38] 19,auquel
[38] auquel,avons
[38] avons,participé
[38] participé,pr

Top Word Pairs in Tweet in G8:
[18] county,stopped
[18] stopped,weekly
[18] weekly,reporting
[18] reporting,cases
[18] cases,back
[18] back,beginning
[18] beginning,april
[18] april,sure
[18] sure,really
[18] really,helpful

Top Word Pairs in Tweet in G9:
[29] sars,cov
[27] cov,s2
[27] analogous,membrane
[26] let's,revisit
[26] revisit,topic
[26] topic,structural
[26] structural,similarity
[26] similarity,between
[26] between,hiv
[26] hiv,gp41

Top Replied-To
Top Replied-To in Entire Graph:
@paolaro48061828
@cnnee
@jhas5
@denisedresserg
@janiesaysyay
@kit_yates_maths
@cdube_sante
@alice01055422
@kim_oneil
@capitolsheila

Top Replied-To in G2:
@capitolsheila
@jhas5
@janiesaysyay
@protonicstorm
@r_h_ebright
@mbalter
@biophysicsfl
@charlesrixey
@ducky68257909
@timjsherman

Top Replied-To in G3:
@drdenwalker

Top Replied-To in G6:
@tonybaduy
@real_seeking

Top Replied-To in G7:
@nodo23049099

Top Replied-To in G8:
@bob_wachter
@itosettimd_mba
@lakshmi_rkg
@mreitermayer
@derdrpappa
@eckerleisabella
@lisa_iannattone

Top Replied-To in G10:
@gillymccain1

Top Mentioned
Top Mentioned in Entire Graph:
@juancarlossaid
@jlesgards
@traderat12
@inserm
@nathanpsmad
@jnietoguevara
@kathmlee1
@daoyu15
@capitolsheila
@chargrille

Top Mentioned in G1:
@juancarlossaid

Top Mentioned in G2:
@daoyu15
@capitolsheila
@innominata_
@monarahalkar
@jikkyleaks
@emilyakopp
@rossana38510044
@charlesrixey
@chrismartenson
@jhas5

Top Mentioned in G3:
@jlesgards

Top Mentioned in G4:
@cxoherald

Top Mentioned in G5:
@traderat12

Top Mentioned in G6:
@zaynjaffer
@wendyorent
@fvckyourfear
@lazlowoodbine42
@jonathanhannah
@albowers1
@jimeeliberty
@waltertallen
@ogilville1
@krebiozen

Top Mentioned in G7:
@inserm
@nathanpsmad
@jygateau
@traceybthierry
@corinnereverbel
@libe
@checknewsfr
@raoult_didier
@forbes

Top Mentioned in G8:
@chargrille
@eckerleisabella
@drneilstone
@lisa_iannattone
@macroliter
@mompedblog
@bob_wachter
@dokhollidays
@lakshmi_rkg
@botaintensiv

Top Mentioned in G9:
@kathmlee1
@janiesaysyay
@capitolsheila

Top Mentioned in G10:
@swaledalemutton
@ianaboulton
@stevereed84
@basil_ireton
@breezergalway
@necrobiomicon
@sharky_vs_evil
@robinh00dthe2nd
@beckyj2779
@sirmasksalot

Top Tweeters
Top Tweeters in Entire Graph:
@rodolfoxoliz
@_redfrog
@katcapps
@_yvonneburton
@telegraaf
@uolnoticias
@welt
@demiurgotuiter
@valy_s
@zerohedge

Top Tweeters in G1:
@rodolfoxoliz
@gonzalobarria
@michel778899
@jasnamarin1
@pablotopo
@nancy_gatica
@maria_sepul66
@ebrielynca
@seba_6_
@estebanreinesar

Top Tweeters in G2:
@_yvonneburton
@zerohedge
@lissnup
@michaelbathurst
@google
@mbalter
@lavande25
@0bj3ctivity
@rmconservative
@stevedeaceshow

Top Tweeters in G3:
@alek_aloha
@william85837998
@lvassiliev
@007dijon
@cazmariani
@pietersedwige
@paulinebon3
@nath29021
@mcm67738662
@apolitiknopass

Top Tweeters in G4:
@giocarmon
@foxnewsmom
@myjournals
@jj_talking
@parthenon1
@deskprotestor
@renesugar
@aruberutou
@gemsrv71
@sjksanders

Top Tweeters in G5:
@ndusgun
@nrdninan
@yetyas
@hulyad14
@yasmincicek34
@makbule6134
@mustafacvs4
@ya_hak
@fatoay7
@___aylin_

Top Tweeters in G6:
@kath2cats
@mcfunny
@chimera414
@malo_j
@wendyorent
@nockit1
@alex_on_a14
@andrewlazarus4
@skepticalmutant
@tonybaduy

Top Tweeters in G7:
@_redfrog
@forbes
@libe
@roxane66
@tymaou7
@patjdp
@nacrespirale
@it_bzh
@natschirvel
@corinnereverbel

Top Tweeters in G8:
@katcapps
@chloepoliticat
@scott_squires
@chargrille
@adigunpolack
@chumes_
@flogwarrior
@sallynjack96
@iloveuallso2
@natsgirl12

Top Tweeters in G9:
@nick29433777
@ryttah70
@rr_mandy
@justeduardod
@takashimichaels
@gkcfan21
@for_options
@rosariop70
@bakelso
@kathmlee1

Top Tweeters in G10:
@breezergalway
@westhammatters
@swaledalemutton
@lizzy_lang7
@judysimpson222
@basil_ireton
@tierrahenson
@factode305
@bigbruce1972
@krochetxkorner