SARS-COV, Twitter, 1/21/2021 4:59:52 PM, 246166


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SARS-COV_2021-01-21_03-59-53.xlsx
SARS-COV_2021-01-21_03-59-53.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 21, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3o4lbA5
@tweetlelidy
@robinmonotti
@billybostickson
@ale_battini
@dirku51
@rossana38510044
@mvankerkhove
@k_g_andersen
@angie_rasmussen
@who

Top hashtags:
#covid19
#derechoshumanos
#coronavirus
#covid_19
#sepaque
#covid
#especial

Description:
Description
The graph represents a network of 4,043 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 Thursday, 21 January 2021 at 12:04 UTC.

The requested start date was Thursday, 21 January 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, 12-hour, 43-minute period from Thursday, 07 January 2021 at 01:03 UTC to Wednesday, 20 January 2021 at 13:46 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 : 4043
Unique Edges : 2683
Edges With Duplicates : 3425
Total Edges : 6108
Number of Edge Types : 5
Tweet : 706
Retweet : 1430
MentionsInRetweet : 1925
Replies to : 796
Mentions : 1251
Self-Loops : 730
Reciprocated Vertex Pair Ratio : 0.00966316951960243
Reciprocated Edge Ratio : 0.0191413727098715
Connected Components : 955
Single-Vertex Connected Components : 359
Maximum Vertices in a Connected Component : 909
Maximum Edges in a Connected Component : 2144
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.391904
Graph Density : 0.000223781875760855
Modularity : 0.622787
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,043 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 Thursday, 21 January 2021 at 12:04 UTC.

The requested start date was Thursday, 21 January 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, 12-hour, 43-minute period from Thursday, 07 January 2021 at 01:03 UTC to Wednesday, 20 January 2021 at 13:46 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:
[19] https://www.google.com/maps/d/u/1/viewer?mid=1aQDSL2LwQFbuoCAg_nIOPK8D-LIJ5MYd&ll=25.736511557206818,-92.94514515219726&z=3
[13] https://patents.google.com/patent/US10130701B2/en
[7] https://apps.who.int/iris/bitstream/handle/10665/332262/WHO-AF-ARD-DAK-01-2020-por.pdf?sequence=3&isAllowed=y
[6] https://www.cebm.net/covid-19/what-is-the-role-of-t-cells-in-covid-19-infection-why-immunity-is-about-more-than-antibodies/
[6] https://www.sciencedirect.com/science/article/pii/S2352396420301432
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[5] https://pubmed.ncbi.nlm.nih.gov/22536382/
[4] https://www.telos-eu.com/fr/societe/la-deuxieme-mort-de-louis-pasteur.html
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/
[4] https://pubmed.ncbi.nlm.nih.gov/26552008/

Top URLs in Tweet in G1:
[1] https://thevirus.wtf/31/

Top URLs in Tweet in G2:
[4] https://misterio.info/video/la-cepa-mas-mortifera-del-sars-cov-2-llega-a-30-paises-65875/?utm_source=ReviveOldPost&utm_medium=social&utm_campaign=ReviveOldPost
[3] https://pubmed.ncbi.nlm.nih.gov/22536382/
[2] https://www.telos-eu.com/fr/societe/la-deuxieme-mort-de-louis-pasteur.html
[2] https://www.revistadyna.com/Canales/Ficha.aspx?IdMenu=7096BF14-4983-423B-88B3-40CF28D4A1F6&Cod=02B2A928-2632-404B-A938-20563997EA9C
[2] https://espejodelpoder.com/2021/01/10/por-covid-19-sigue-delicado-el-vocero-de-la-diocesis-de-veracruz-obispo-briseno-arch/
[2] https://parallaximag.gr/epikairotita/kozani-ta-orfana-krousmata-tou-sars-cov-2
[2] https://www.newn.gr/perifereia-kentrikis-makedonias-133-nees-molynseis-sars-cov-2/
[2] https://twitter.com/angie_rasmussen/status/1349754581702508544
[2] https://www.usinenouvelle.com/article/le-sars-cov-2-pourra-generer-un-tres-grand-nombre-de-variants-estime-yves-gaudin-virologue-au-cnrs.N1050149
[1] https://www.embl.org/news/science/covid-replication/

Top URLs in Tweet in G3:
[1] https://www.smerconish.com/criticalthinking/the-imminence-of-the-next-sars-outbreak

Top URLs in Tweet in G4:
[2] https://twitter.com/EMDB_EMPIAR/status/1257608518347231233?s=20
[2] https://twitter.com/__ice9/status/1307422089050292226?s=19
[2] https://twitter.com/__ice9/status/1308210509695594502?s=19
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[1] https://www.sciencedirect.com/science/article/pii/S1931312820303516?via%3Dihub
[1] https://www.doc88.com/p-2089596923953.html
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.gastrojournal.org%2Farticle%2FS0016-5085%2820%2930571-0%2Ffulltext&rc=0
[1] https://pubmed.ncbi.nlm.nih.gov/17184168/
[1] http://pdfs.semanticscholar.org/5f80/e210b31e1a4744ae02c65a86f544356a4ef8.pdf
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092805/

Top URLs in Tweet in G6:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086629/
[1] https://pubmed.ncbi.nlm.nih.gov/32132196/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[1] https://twitter.com/annbauerwriter/status/1351608382826962946
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.journalofinfection.com%2Farticle%2FS0163-4453%2820%2930154-7%2Fpdf&rc=0

Top URLs in Tweet in G7:
[2] https://www.nature.com/articles/s41598-018-33487-8
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126208/
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2820%2930650-2%2Ffulltext&rc=0

Top URLs in Tweet in G8:
[1] https://www.pagina12.com.ar/316641-nasalferon-las-gotas-nasales-de-cuba-para-enfrentar-al-coron
[1] https://www.bbc.com/mundo/noticias-52797076

Top URLs in Tweet in G9:
[1] https://twitter.com/orla_hegarty/status/1351523678031392768
[1] https://twitter.com/trvrb/status/1349774271095062528

Top URLs in Tweet in G10:
[1] https://www.sciencedirect.com/science/article/pii/S1201971220307311
[1] https://twitter.com/BillyBostickson/status/1349432654458880001

Top Domains
Top Domains in Tweet in Entire Graph:
[83] sporadestv.com
[82] twitter.com
[54] nih.gov
[36] google.com
[16] nature.com
[15] maghreb-post.de
[12] com.mx
[9] sciencedirect.com
[8] cebm.net
[8] recombinomics.co

Top Domains in Tweet in G1:
[1] thevirus.wtf

Top Domains in Tweet in G2:
[83] sporadestv.com
[47] twitter.com
[14] nih.gov
[11] com.mx
[5] ert.gr
[4] linkedin.com
[4] biorxiv.org
[4] nature.com
[4] misterio.info
[3] telos-eu.com

Top Domains in Tweet in G3:
[1] smerconish.com

Top Domains in Tweet in G4:
[10] nih.gov
[8] twitter.com
[2] nature.com
[1] sciencedirect.com
[1] doc88.com
[1] elsevierhealth.com
[1] semanticscholar.org
[1] asm.org
[1] biorxiv.org
[1] rupress.org

Top Domains in Tweet in G6:
[2] nih.gov
[1] nature.com
[1] twitter.com
[1] elsevierhealth.com

Top Domains in Tweet in G7:
[2] nih.gov
[2] nature.com
[1] elsevierhealth.com

Top Domains in Tweet in G8:
[1] com.ar
[1] bbc.com

Top Domains in Tweet in G9:
[2] twitter.com

Top Domains in Tweet in G10:
[1] sciencedirect.com
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[120] covid19
[20] derechoshumanos
[12] coronavirus
[11] covid_19
[10] sepaque
[7] covid
[6] especial
[5] sarscov2
[5] كورونا
[4] staysafe



Top Hashtags in Tweet in G1:
[1] covidhoax2021

Top Hashtags in Tweet in G2:
[12] covid19
[7] covid_19
[6] especial
[3] covid
[2] coronavirus
[2] smyt
[2] sarscov2
[2] thewiderwiserview
[1] yunnan
[1] wuhan

Top Hashtags in Tweet in G5:
[101] covid19

Top Hashtags in Tweet in G7:
[2] orf8
[1] orf8_deletion

Top Hashtags in Tweet in G10:
[1] goodbye

Top Words
Top Words in Tweet in Entire Graph:
[3353] sars
[3195] cov
[531] virus
[474] die
[467] dat
[393] kan
[369] coronavirus
[355] zou
[355] toch
[354] tweetlelidy

Top Words in Tweet in G1:
[446] dat
[389] sars
[389] cov
[381] kan
[354] die
[354] toch
[353] tweetlelidy
[351] amerikaan
[351] heeft
[351] miljoen

Top Words in Tweet in G2:
[609] cov
[592] sars
[87] virus
[85] νέες
[85] μολύνσεις
[85] αναλυτικοί
[85] πίνακες
[62] covid
[50] 19
[43] mers

Top Words in Tweet in G3:
[108] sars
[104] going
[104] coronavirus
[104] excellent
[104] piece
[104] ryan_mac_phd
[104] rodneyrohde
[104] oft
[104] ignored
[104] topic

Top Words in Tweet in G4:
[119] cov
[118] sars
[24] billybostickson
[17] virus
[12] rbm
[10] spike
[10] mers
[10] bat
[10] human
[8] same

Top Words in Tweet in G5:
[101] trece
[101] avisándolo
[101] #covid19
[101] presencia
[101] gran
[101] reservorio
[101] virus
[101] tipo
[101] sars
[101] cov

Top Words in Tweet in G6:
[198] sars
[178] cov
[129] robinmonotti
[96] sequence
[90] analysis
[85] identity
[85] 90
[85] 52
[81] protein
[46] showed

Top Words in Tweet in G7:
[33] sars
[30] cov
[14] thomas_binder
[14] type
[12] kantonaargau
[12] challenge
[12] mice
[12] given
[12] vaccines
[12] led

Top Words in Tweet in G8:
[63] cuba
[63] sars
[63] cov
[62] nasalferón
[62] gotas
[62] nasales
[62] enfrentar
[62] coronavirus
[62] evita
[62] replique

Top Words in Tweet in G9:
[21] sars
[21] cov
[6] sthembete
[5] philanidbn
[5] mimmitwit
[5] bigkoostar
[5] yvonnechakax2
[5] eu_partnerships
[5] nepad_agency
[5] presidencyza

Top Words in Tweet in G10:
[19] cov
[17] sars
[10] cell
[8] 17
[8] years
[5] exists
[5] gt
[5] drhoenderkamp
[4] matthancock
[4] ade

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2983] sars,cov
[352] amerikaan,heeft
[352] heeft,miljoen
[352] miljoen,dollar
[352] dollar,uitgeloofd
[352] uitgeloofd,diegene
[352] diegene,die
[352] die,kan
[352] kan,bewijzen
[352] bewijzen,dat

Top Word Pairs in Tweet in G1:
[387] sars,cov
[351] amerikaan,heeft
[351] heeft,miljoen
[351] miljoen,dollar
[351] dollar,uitgeloofd
[351] uitgeloofd,diegene
[351] diegene,die
[351] die,kan
[351] kan,bewijzen
[351] bewijzen,dat

Top Word Pairs in Tweet in G2:
[560] sars,cov
[85] αναλυτικοί,πίνακες
[83] νέες,μολύνσεις
[81] μολύνσεις,sars
[79] cov,αναλυτικοί
[40] mers,cov
[38] covid,19
[28] virus,sars
[27] cov,sars
[25] cov,mers

Top Word Pairs in Tweet in G3:
[104] going,sars
[104] sars,coronavirus
[104] coronavirus,excellent
[104] excellent,piece
[104] piece,ryan_mac_phd
[104] ryan_mac_phd,rodneyrohde
[104] rodneyrohde,oft
[104] oft,ignored
[104] ignored,topic
[103] angie_rasmussen,going

Top Word Pairs in Tweet in G4:
[104] sars,cov
[7] mers,cov
[6] cov,backbone
[6] cov,sars
[6] spike,protein
[5] sl,cov
[5] cov,found
[5] cov,mers
[4] cov,sl
[3] billybostickson,12

Top Word Pairs in Tweet in G5:
[101] trece,avisándolo
[101] avisándolo,#covid19
[101] #covid19,presencia
[101] presencia,gran
[101] gran,reservorio
[101] reservorio,virus
[101] virus,tipo
[101] tipo,sars
[101] sars,cov
[101] cov,murciélagos

Top Word Pairs in Tweet in G6:
[176] sars,cov
[85] 90,52
[80] cov,protein
[48] robinmonotti,sars
[45] sequence,analysis
[45] analysis,showed
[45] showed,90
[45] 52,identity
[45] identity,sars
[45] cov,molecular

Top Word Pairs in Tweet in G7:
[29] sars,cov
[12] kantonaargau,challenge
[12] challenge,mice
[12] mice,given
[12] given,vaccines
[12] vaccines,led
[12] led,occurrence
[12] occurrence,th2
[12] th2,type
[12] type,immunopathology

Top Word Pairs in Tweet in G8:
[63] sars,cov
[62] nasalferón,gotas
[62] gotas,nasales
[62] nasales,cuba
[62] cuba,enfrentar
[62] enfrentar,coronavirus
[62] coronavirus,evita
[62] evita,replique
[62] replique,sars
[62] cov,cubanos

Top Word Pairs in Tweet in G9:
[19] sars,cov
[5] philanidbn,mimmitwit
[5] mimmitwit,bigkoostar
[5] bigkoostar,sthembete
[5] sthembete,yvonnechakax2
[5] yvonnechakax2,eu_partnerships
[5] eu_partnerships,nepad_agency
[5] nepad_agency,presidencyza
[5] presidencyza,davos
[5] thanks,trvrb

Top Word Pairs in Tweet in G10:
[17] sars,cov
[8] 17,years
[6] cov,cell
[5] gt,17
[4] drhoenderkamp,sars
[4] cell,gt
[3] dared_20,kayakleigh
[3] kayakleigh,summers33456923
[3] summers33456923,indyscott1973
[3] indyscott1973,matthancock

Top Replied-To
Top Replied-To in Entire Graph:
@billybostickson
@pedroarostegui
@juliahb1
@bbcmundo
@karl_lauterbach
@heraldoes
@ballouxfrancois
@sayk0tik
@philanidbn
@annrudbeck

Top Replied-To in G1:
@borgerpieter
@vester71

Top Replied-To in G3:
@cathdea
@lisa_iannattone

Top Replied-To in G4:
@billybostickson
@theseeker268
@__ice9
@babarlelephant
@monarahalkar
@klausenhauser
@oscardev3
@franciscodeasis
@alexberenson
@whereisdaz

Top Replied-To in G6:
@chris_f_carson
@nickkeca
@chubbylysosome
@robinmonotti

Top Replied-To in G7:
@juliahb1
@ballouxfrancois
@thomas_binder
@angelovalidiya
@amandapoulton1
@emanuelasky15
@castillacov
@kantonaargau
@davidke44282417
@mathematikerrur

Top Replied-To in G8:
@tarentatuy

Top Replied-To in G9:
@mugecevik
@philanidbn
@who
@dnailedit
@stefanoberto83
@mariadelmartom
@marcocattaneo

Top Replied-To in G10:
@dared_20
@winston45448699
@thelongergame
@eyebytedc
@apb_____
@malmphegor
@thorpe7777
@byronw70
@lucasarcady
@ashtfe

Top Mentioned
Top Mentioned in Entire Graph:
@tweetlelidy
@robinmonotti
@angie_rasmussen
@ryan_mac_phd
@rodneyrohde
@morontafelix
@minesoh
@iangulochacon
@patrickweil1
@g05vi

Top Mentioned in G1:
@tweetlelidy
@mdvrdrmn
@door1961
@ramesh13145522
@vester71

Top Mentioned in G2:
@smackenziekerr
@nanaansah
@chemistrykaren
@ecopolitic_ro
@aif0ns0
@cleaningtot
@fabienprevots

Top Mentioned in G3:
@ryan_mac_phd
@rodneyrohde
@angie_rasmussen
@chrisdmrg
@lp_lapresse
@marieevemo
@rimaelkouri
@yvesboisvert
@patri_targaryen
@alem_it_ca

Top Mentioned in G4:
@billybostickson
@keverington
@harvard2h
@angie_rasmussen
@k_g_andersen
@mbeisen
@toad_spotted
@__ice9
@martinfierro769
@franciscodeasis

Top Mentioned in G5:
@morontafelix

Top Mentioned in G6:
@robinmonotti
@nhsuk
@mancunianmedic
@tweetlelidy
@billybostickson

Top Mentioned in G7:
@thomas_binder
@kantonaargau
@juliahb1
@shomburg
@michaelyeadon3
@profvrr
@adam_creighton
@thomas_wilckens
@clarecraigpath
@jengleruk

Top Mentioned in G8:
@iangulochacon
@pagina12

Top Mentioned in G9:
@who
@mimmitwit
@bigkoostar
@sthembete
@yvonnechakax2
@eu_partnerships
@un
@nepad_agency
@presidencyza
@davos

Top Mentioned in G10:
@matthancock
@drhoenderkamp
@markready47
@kayakleigh
@summers33456923
@indyscott1973
@dared_20
@davidhoban8
@neilclark66
@randpaul

Top Tweeters
Top Tweeters in Entire Graph:
@lasillarota
@paoloigna1
@amaia_haikazti
@inabster
@isaaranjuez
@gambiste1
@faby_nava77
@fainformazione
@germnhernndez16
@repubblica

Top Tweeters in G1:
@vester71
@breakingnieuws1
@klaagblondy
@maryfloor
@spacema09104056
@jackmarsman
@jannyzeeland
@tweelingetje2v
@anthonysc6
@boduoghnat

Top Tweeters in G2:
@astratv1
@inewsgr
@chasrmartin
@questoyquelotro
@kokikokiya
@fabienprevots
@diariomarcaoax
@sporadestv
@tonytony0250
@ceau_grouh

Top Tweeters in G3:
@lizditz
@sandi_childs
@jjmplsmn
@pistach01
@carolforden
@lighthealing
@missjoy1965
@laurajmg
@autarkh
@grinningbame

Top Tweeters in G4:
@franceculture
@gmwatch
@whereisdaz
@wevotedtoleave
@gaellem15
@daniel_bilar
@ecoff123
@__ice9
@mbeisen
@gidmk

Top Tweeters in G5:
@viralvideovlogs
@imapax
@matthewcobb
@pulpincok
@vivienblack
@pauxhis
@morontafelix
@hectorhernando8
@erickrevilla
@mikiescape

Top Tweeters in G6:
@princessofwails
@loulan_777
@sanlovita
@jackcolleton
@annika1021
@mancunianmedic
@turnermx
@drkassandrapari
@jokerfleck2
@nellsventura

Top Tweeters in G7:
@baizuobu
@ellecome222
@juliahb1
@jimeekay
@thomas_binder
@jani_depp
@thomas_wilckens
@nathansldennis
@nhsmillion
@angelovalidiya

Top Tweeters in G8:
@juang44
@carlongart
@prof_yurbe
@aponwaog
@artecanal4
@joseant72838920
@elchamocandanga
@tarentatuy
@ramedugonzalez
@251063andy

Top Tweeters in G9:
@paoloigna1
@tancredipalmeri
@nordicgeo
@mimmitwit
@un
@pingue7
@stefaniaconti
@udogumpel
@gianlucac1
@thmanfredi

Top Tweeters in G10:
@cernovich
@janekin24
@mlilleker
@markready47
@francis_hoar
@sepsisuk
@neilclark66
@alistairhaimes
@thelongergame
@jamesmelville


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