SARS-COV, Twitter, 5/11/2021 7:46:10 AM, 254595


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SARS-COV_2021-05-10_02-33-39.xlsx
SARS-COV_2021-05-10_02-33-39.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 11, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3y1MxNp
@konstantinospo7
@daoyu15
@baric_lab
@rolandbakeriii
@wendyy2009wendy
@papayaykware
@drs4covidethics
@cellpressnews
@mgordonjoyce
@david_rmartinez

Top hashtags:
#covid19
#preprint
#vaccines
#كورونا
#sops4nationsurvival

Description:
Description
The graph represents a network of 3,687 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, 10 May 2021 at 09:39 UTC.

The requested start date was Monday, 10 May 2021 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, 12-hour, 25-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 12:27 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 : 3687
Unique Edges : 2043
Edges With Duplicates : 3934
Total Edges : 5977
Number of Edge Types : 5
Replies to : 559
Tweet : 583
Retweet : 1717
MentionsInRetweet : 2119
Mentions : 999
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.0105913503971756
Reciprocated Edge Ratio : 0.0209606986899563
Connected Components : 762
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 806
Maximum Edges in a Connected Component : 1970
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.826791
Graph Density : 0.000252754137110621
Modularity : 0.588103
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,687 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, 10 May 2021 at 09:39 UTC.

The requested start date was Monday, 10 May 2021 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, 12-hour, 25-minute period from Monday, 26 April 2021 at 00:01 UTC to Sunday, 09 May 2021 at 12:27 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:
[5] https://vitamindwiki.com/SARS-CoV-2++virus+alters+the+activation+of+over+100+vitamin+D+related+genes+in+the+lung+–+April+2021
[4] https://www.corriere.it/cronache/21_aprile_30/moderna-capo-ricerca-vaccino-5766762a-a974-11eb-8b01-83c2a483d7f5.shtml?&appunica=true
[4] https://www.biorxiv.org/content/10.1101/2021.04.27.441655v1
[4] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.cell.com%2Fcell%2Ffulltext%2FS0092-8674%2821%2900535-3&rc=0
[4] https://pubmed.ncbi.nlm.nih.gov/22536382/
[3] https://twitter.com/alejand81032873?s=09
[2] https://www.biorxiv.org/cgi/content/short/2021.04.29.442038v1
[2] https://www.instagram.com/p/CORHrLHnR1_/
[2] https://www.israelnationalnews.com/News/News.aspx/294852
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/

Top URLs in Tweet in G2:
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.cell.com%2Fcell%2Ffulltext%2FS0092-8674%2821%2900535-3&rc=0
[3] https://www.corriere.it/cronache/21_aprile_30/moderna-capo-ricerca-vaccino-5766762a-a974-11eb-8b01-83c2a483d7f5.shtml?&appunica=true
[2] https://www.instagram.com/p/CORHrLHnR1_/
[1] https://www.hindustantimes.com/world-news/who-is-henrietta-lacks-and-what-s-her-connection-to-the-covid-19-vaccine/story-neC7CB4lUabGiFgJVbbp2L_amp.html
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanmic%2Farticle%2FPIIS2666-5247%2821%2900027-6%2Ffulltext&rc=0
[1] https://outbreak.info/situation-reports?pango&muts=ORF6%3AQ56E
[1] https://pubmed.ncbi.nlm.nih.gov/33894127/?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=None&utm_content=14q4QWQ9WuPcq3w_vfzfB7wmqlGvuMXxgMx5TNjDwXZC4alMKA&fc=None&ff=20210426015442&v=2.14.4
[1] https://www.researchgate.net/publication/350383899
[1] https://twitter.com/CultureMalagasy/status/1386425694876434434
[1] https://newsmeter.in/must-read/sars-cov-is-more-severe-than-sars-cov-2-nl63-shows-milder-symptoms-reveals-iit-madras-study-677441?utm_campaign=pubshare&utm_source=Twitter&utm_medium=1154348259688603648&utm_content=auto-link&utm_id=5

Top URLs in Tweet in G6:
[1] https://science.sciencemag.org/content/371/6529/eabf4063
[1] https://twitter.com/la_ser/status/1386726507150774274

Top URLs in Tweet in G8:
[2] https://www.biorxiv.org/content/10.1101/2021.04.27.441655v1
[1] https://threadreaderapp.com/thread/1387557382599987202.html

Top Domains
Top Domains in Tweet in Entire Graph:
[79] twitter.com
[69] nih.gov
[60] astratv.gr
[37] biorxiv.org
[17] elsevierhealth.com
[16] nature.com
[10] sporadestv.com
[10] google.com
[10] doi.org
[8] wiley.com

Top Domains in Tweet in G1:
[1] mdpi.com

Top Domains in Tweet in G2:
[60] astratv.gr
[35] twitter.com
[19] nih.gov
[13] biorxiv.org
[10] sporadestv.com
[7] elsevierhealth.com
[5] corriere.it
[5] eidisis24.gr
[3] youtube.com
[3] medrxiv.org

Top Domains in Tweet in G4:
[5] twitter.com
[3] nih.gov
[2] wiley.com
[2] nature.com
[2] elsevierhealth.com
[1] threader.app
[1] google.com
[1] lepoint.fr
[1] challenges.fr
[1] absa.org

Top Domains in Tweet in G5:
[2] biorxiv.org
[1] twitter.com

Top Domains in Tweet in G6:
[1] sciencemag.org
[1] twitter.com

Top Domains in Tweet in G7:
[2] nature.com
[1] tv2.dk
[1] nih.gov
[1] jci.org

Top Domains in Tweet in G8:
[10] biorxiv.org
[1] threadreaderapp.com

Top Domains in Tweet in G10:
[1] nih.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[71] covid19
[43] preprint
[36] vaccines
[28] كورونا
[28] sops4nationsurvival
[24] sarscov2
[14] كوفيد_19
[10] covid
[9] coronavirus
[8] ccpvirus



Top Hashtags in Tweet in G2:
[13] covid19
[5] sarscov2
[3] sars
[3] coronavirus
[2] cell
[2] chile
[2] covid_19
[2] رشتو
[1] pericolo
[1] onda

Top Hashtags in Tweet in G5:
[2] biorxiv_micrbio

Top Hashtags in Tweet in G8:
[42] preprint
[7] glycotime

Top Words
Top Words in Tweet in Entire Graph:
[3398] sars
[3293] cov
[1074] causing
[798] vaccines
[708] myocarditis
[358] caus
[357] paralysis
[354] konstantinospo7
[331] virus
[322] covid

Top Words in Tweet in G1:
[977] causing
[654] sars
[654] cov
[650] vaccines
[648] myocarditis
[326] konstantinospo7
[325] paralysis
[323] caus
[4] special
[4] issue

Top Words in Tweet in G2:
[472] sars
[472] cov
[73] αναλυτικοί
[73] πίνακες
[68] νέες
[68] μολύνσεις
[59] virus
[34] coronavirus
[31] μακεδονία
[26] mers

Top Words in Tweet in G3:
[93] análisis
[93] genómico
[93] muestras
[93] realiza
[93] proyecto
[93] pais
[93] circulación
[93] variantes
[93] sars
[93] cov

Top Words in Tweet in G4:
[192] cov
[189] sars
[46] daoyu15
[46] clade
[46] human
[38] rbds
[33] causing
[33] ace2
[26] vaccines
[22] myocarditis

Top Words in Tweet in G5:
[83] transmission
[83] route
[83] matters
[83] aerosol
[83] exposer
[83] produced
[83] more
[83] severe
[83] respiratory
[83] disease

Top Words in Tweet in G6:
[75] células
[74] vacuna
[73] lalbert75
[73] falso
[73] linfocitos
[73] provoca
[73] oxford
[73] astrazeneca
[73] pfizer
[73] moderna

Top Words in Tweet in G7:
[98] sars
[52] cov
[48] protein
[46] cells
[45] robinmonotti2
[45] showed
[45] patients
[45] recovered
[45] possess
[45] long

Top Words in Tweet in G8:
[120] sars
[120] cov
[71] against
[67] bat
[66] pre
[56] david_rmartinez
[51] rbd
[44] neutralizing
[43] antibody
[42] check

Top Words in Tweet in G9:
[9] sars
[9] cov
[6] mcfunny
[5] allearthlife
[5] delbigtree
[4] frankdelia7
[4] brunthebear
[4] brendan_neeson
[4] ladybret
[4] awithonelison

Top Words in Tweet in G10:
[36] cov
[29] sars
[11] drhalat
[9] covid
[9] od
[8] 17
[8] po
[8] zarażenia
[8] może
[7] year

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3136] sars,cov
[712] cov,causing
[708] causing,myocarditis
[361] vaccines,causing
[357] causing,paralysis
[354] myocarditis,vaccines
[354] myocarditis,sars
[354] paralysis,vaccines
[351] konstantinospo7,sars
[351] vaccines,caus

Top Word Pairs in Tweet in G1:
[654] sars,cov
[650] cov,causing
[648] causing,myocarditis
[327] vaccines,causing
[325] causing,paralysis
[324] myocarditis,vaccines
[324] myocarditis,sars
[324] paralysis,vaccines
[323] konstantinospo7,sars
[323] vaccines,caus

Top Word Pairs in Tweet in G2:
[448] sars,cov
[73] αναλυτικοί,πίνακες
[68] νέες,μολύνσεις
[68] μολύνσεις,sars
[62] cov,αναλυτικοί
[25] cov,sars
[19] mers,cov
[17] covid,19
[16] virus,sars
[16] δ,μακεδονία

Top Word Pairs in Tweet in G3:
[93] análisis,genómico
[93] genómico,muestras
[93] muestras,realiza
[93] realiza,proyecto
[93] proyecto,pais
[93] pais,circulación
[93] circulación,variantes
[93] variantes,sars
[93] sars,cov
[92] andrea_gentil,análisis

Top Word Pairs in Tweet in G4:
[181] sars,cov
[46] cov,clade
[38] rbds,sars
[22] cov,causing
[22] causing,myocarditis
[19] clade,rbds
[19] clade,except
[19] except,sars
[19] cov,itself
[19] itself,human

Top Word Pairs in Tweet in G5:
[83] transmission,route
[83] route,matters
[83] matters,aerosol
[83] aerosol,exposer
[83] exposer,produced
[83] produced,more
[83] more,severe
[83] severe,respiratory
[83] respiratory,disease
[83] disease,lung

Top Word Pairs in Tweet in G6:
[73] falso,linfocitos
[73] linfocitos,provoca
[73] provoca,vacuna
[73] vacuna,oxford
[73] oxford,astrazeneca
[73] astrazeneca,pfizer
[73] pfizer,moderna
[73] moderna,células
[73] células,definitiva
[72] lalbert75,falso

Top Word Pairs in Tweet in G7:
[52] sars,cov
[45] showed,patients
[45] patients,recovered
[45] recovered,sars
[45] sars,possess
[45] possess,long
[45] long,lasting
[45] lasting,memory
[45] memory,cells
[45] cells,reactive

Top Word Pairs in Tweet in G8:
[120] sars,cov
[69] against,sars
[52] cov,bat
[52] bat,pre
[42] check,#preprint
[42] #preprint,describing
[42] describing,broadly
[42] broadly,neutralizing
[42] neutralizing,rbd
[42] rbd,antibody

Top Word Pairs in Tweet in G9:
[9] sars,cov
[4] allearthlife,frankdelia7
[4] frankdelia7,brunthebear
[4] brunthebear,brendan_neeson
[4] brendan_neeson,ladybret
[4] ladybret,mcfunny
[4] mcfunny,awithonelison
[4] awithonelison,delbigtree
[4] delbigtree,kevinryan911
[2] photo,sars

Top Word Pairs in Tweet in G10:
[28] sars,cov
[7] limfocytów,przeciwko
[7] przeciwko,sars
[7] cov,po
[7] po,17
[7] 17,latach
[7] latach,od
[7] od,początkowego
[7] początkowego,zarażenia
[7] zarażenia,dane

Top Replied-To
Top Replied-To in Entire Graph:
@allearthlife
@nexitnexitnexit
@msnorthcott
@theseeker268
@hansonm90
@ethicalskeptic
@lawrencesellin
@rusty51022963
@bisonbonasus2
@vitalityyyyyy

Top Replied-To in G2:
@yourmirrors

Top Replied-To in G4:
@hansonm90
@theseeker268
@msnorthcott
@billybostickson
@macroliter
@jsdfposjpqyuee1
@rolandbakeriii
@curefinder
@charliebismuth
@charles_xiali

Top Replied-To in G6:
@amdelvaz

Top Replied-To in G9:
@allearthlife
@trippy_neutron
@socratesone

Top Replied-To in G10:
@andreakrug5
@antitroll2021
@marcoramius80
@olimpia_szuwar
@michali49393358
@daniinthedesert
@ncrosshair
@johnmcclean_ie
@bita33088889
@venivici27

Top Mentioned
Top Mentioned in Entire Graph:
@konstantinospo7
@andrea_gentil
@drkristenkc
@lalbert75
@david_rmartinez
@daoyu15
@profabdille
@robinmonotti2
@karim__fr
@kanaugust

Top Mentioned in G1:
@konstantinospo7

Top Mentioned in G2:
@namikof
@shinkoro_bot
@valdescabb
@ajamalkhani
@hektorlvl
@wakoppa
@a48336371

Top Mentioned in G3:
@andrea_gentil

Top Mentioned in G4:
@daoyu15
@billybostickson
@r_h_ebright
@konstantinospo7
@theseeker268
@harvard2h
@charlesrixey
@franciscodeasis
@monarahalkar
@gdemaneuf

Top Mentioned in G5:
@drkristenkc
@biorxiv_micrbio

Top Mentioned in G6:
@lalbert75
@andrea_gentil
@amdelvaz

Top Mentioned in G7:
@robinmonotti2
@papayaykware
@konstantinospo7

Top Mentioned in G8:
@david_rmartinez
@baric_lab
@priyam2021
@sophie_gobeil
@glycopreprint
@dapeng_li
@thedhvi
@aschaefe29
@nih
@cellpressnews

Top Mentioned in G9:
@mcfunny
@delbigtree
@frankdelia7
@brunthebear
@brendan_neeson
@ladybret
@awithonelison
@kevinryan911
@troydee
@swedishchf

Top Mentioned in G10:
@drhalat
@lancemberland
@daniinthedesert
@martinkulldorff
@sailorrooscout
@olimpia_szuwar
@tamara91007610
@eddy_bernayz
@mlevitt_np2013
@ballouxfrancois

Top Tweeters
Top Tweeters in Entire Graph:
@infoitinterno
@threadreaderapp
@republikaonline
@inabster
@crweworld
@_redfrog
@menabster
@thehill
@rosenchild
@indiatoday

Top Tweeters in G1:
@toniradjali
@digino69
@nelliejs501
@usertuiter1
@arnelasjmgf
@hasan08931491
@vilpetrus
@denutrients
@adoracioncastro
@angieananda

Top Tweeters in G2:
@infoitinterno
@crweworld
@gooochin
@infoitsalute
@abcdabaf
@astratv1
@larazon_es
@diogenischarala
@italia_notizie
@lady_rebek

Top Tweeters in G3:
@edgardotempore1
@hk_b787
@monicad_2016
@jorgefava
@vivianabasket7
@tuitterdeale
@marciaegomez
@luciastemp
@marcela111959
@elvisfern2

Top Tweeters in G4:
@djsiri
@nvania
@medmouad
@ming63791097
@hklongman
@prometheusam
@jboningtonjag
@berickson_bio
@harvard2h
@nick29433777

Top Tweeters in G5:
@pqpolitics
@bprophetable
@kirkmurphy
@wavetop
@armyofwomack
@darthmamashark
@arclight
@bregmanps
@mileenkirkpatr3
@audryt

Top Tweeters in G6:
@tamiroff_
@villaratorules
@anagago2001
@jafgaqt
@claega_clara
@jesussemperfree
@pepito_garca
@vercingetronix
@rickybrown75
@bru4x4

Top Tweeters in G7:
@lewtonserena5
@lematelot49
@ctoro1962
@rosapitufac
@sheelaghg
@simon32445788
@ddia7940
@redkahina
@2020smiles
@hhelenakhl

Top Tweeters in G8:
@redboybroken
@pash22
@m7m5ea
@monasmitte
@drng
@avechera
@aixnr
@jfletchermd
@romainm45081967
@wanderer_jasnah

Top Tweeters in G9:
@veritasever
@doritmi
@_mamadeb
@just4thecause
@frankdelia7
@mcfunny
@siubhan_h
@awithonelison
@plasticdoe
@charitable_fury

Top Tweeters in G10:
@kerpen
@thx1164jediwexa
@xenosstinkriti
@ghostlymainfra1
@fatemperor
@drhalat
@anna_tweeterowa
@justin_hart
@astaines
@aoifemcl