SARS-COV, Twitter, 1/18/2021 10:31:51 PM, 245933


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SARS-COV_2021-01-18_02-25-31.xlsx
SARS-COV_2021-01-18_02-25-31.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 18, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/38XaoDo
@billybostickson
@robinmonotti
@lennert_vd_boom
@sabinawalker18
@markready47
@flavinkins
@michaelyeadon3
@ale_battini
@__ice9
@angie_rasmussen

Top hashtags:
#covid19
#coronavirus
#wuhan
#eii
#pasteur
#sarscov2

Description:
Description
The graph represents a network of 4,177 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, 18 January 2021 at 10:30 UTC.

The requested start date was Monday, 18 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, 31-minute period from Monday, 04 January 2021 at 01:11 UTC to Sunday, 17 January 2021 at 13:43 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 : 4177
Unique Edges : 3096
Edges With Duplicates : 3169
Total Edges : 6265
Number of Edge Types : 5
Replies to : 935
Mentions : 1515
Tweet : 751
Retweet : 1246
MentionsInRetweet : 1818
Self-Loops : 794
Reciprocated Vertex Pair Ratio : 0.0104193800468872
Reciprocated Edge Ratio : 0.0206238721319928
Connected Components : 987
Single-Vertex Connected Components : 352
Maximum Vertices in a Connected Component : 1269
Maximum Edges in a Connected Component : 2566
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.238821
Graph Density : 0.000222379533240323
Modularity : 0.639145
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,177 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, 18 January 2021 at 10:30 UTC.

The requested start date was Monday, 18 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, 31-minute period from Monday, 04 January 2021 at 01:11 UTC to Sunday, 17 January 2021 at 13:43 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://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/
[4] https://pdfs.semanticscholar.org/962c/58e6dc9c1ea550eb51ce70b0d7c83dc7eff6.pdf?_ga=2.248083591.1613175371.1609781535-875609503.1609781535
[3] https://www.bbc.com/mundo/noticias-55517560
[1] https://clinowl.com/acute-ischemic-stroke-in-sars-cov-mers-cov-sars-cov-2-neurorehabilitation-implications-of-inflammation-induced-immunological-responses-affecting-vascular-systems/?utm_source=rss&utm_medium=rss&utm_campaign=acute-ischemic-stroke-in-sars-cov-mers-cov-sars-cov-2-neurorehabilitation-implications-of-inflammation-induced-immunological-responses-affecting-vascular-systems
[1] https://clinowl.com/psgl-1-inhibits-the-incorporation-of-sars-cov-and-sars-cov-2-spike-glycoproteins-into-pseudovirions-and-impairs-pseudovirus-attachment-and-infectivity/?utm_source=rss&utm_medium=rss&utm_campaign=psgl-1-inhibits-the-incorporation-of-sars-cov-and-sars-cov-2-spike-glycoproteins-into-pseudovirions-and-impairs-pseudovirus-attachment-and-infectivity
[1] https://www.youtube.com/watch?v=IJOgXprtliI&utm_source=dlvr.it&utm_medium=twitter

[1] https://twitter.com/richardursomd/status/1346300707406815232
[1] https://twitter.com/kerpen/status/1346122390607187969
[1] https://pubmed.ncbi.nlm.nih.gov/33113270/
[1] https://pubmed.ncbi.nlm.nih.gov/33395484/?utm_source=curl&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1t9NTJWhkapza5A802QZwq-QN9RfuLU6hif3dvfiro3Y9W19Vk&fc=20200825045558&ff=20210104201301&v=2.14.1

Top URLs in Tweet in G1:
[1] https://www.reddit.com/r/LosAngeles/comments/kpzaq2/another_91_covid19_deaths_reported_in_la_county/?utm_source=ifttt
[1] https://primoweb.it/legnago-esercente-sanzionato-per-aver-servito-bevande-ad-alcuni-avventori/
[1] https://www.equisalud.com/es-es/inscripcion-congreso-inmunidad/?utm_source=Twit-CI&utm_medium=Twit-CI&utm_campaign=Twit-CI
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-02544-6
[1] https://twitter.com/phool28/status/1345941828793720833
[1] https://twitter.com/dr_l_alexandre/status/1346091710686908417
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-00789-5
[1] https://twitter.com/doctormacias/status/1345957254521098241
[1] https://pubmed.ncbi.nlm.nih.gov/22536382/
[1] https://twitter.com/LadelleStromei/status/1346169372373626883

Top URLs in Tweet in G2:
[1] https://science.sciencemag.org/content/368/6491/630

Top URLs in Tweet in G4:
[4] https://pdfs.semanticscholar.org/962c/58e6dc9c1ea550eb51ce70b0d7c83dc7eff6.pdf?_ga=2.248083591.1613175371.1609781535-875609503.1609781535
[1] https://www.fluoridefreepeel.ca/u-k-dept-of-health-and-social-care-has-no-record-of-covid-19-virus-isolation/

Top URLs in Tweet in G9:
[1] https://twitter.com/richardursomd/status/1346300707406815232

Top URLs in Tweet in G10:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/pdf/pone.0035421.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[88] twitter.com
[85] sporadestv.com
[73] nih.gov
[64] google.com
[24] nature.com
[15] maghreb-post.de
[14] free.fr
[13] biorxiv.org
[11] elsevierhealth.com
[9] plos.org

Top Domains in Tweet in G1:
[85] sporadestv.com
[48] twitter.com
[21] nih.gov
[7] biorxiv.org
[6] ert.gr
[6] misterio.info
[5] nature.com
[4] com.mx
[4] hyp.is
[3] co.uk

Top Domains in Tweet in G2:
[9] nih.gov
[8] nature.com
[5] twitter.com
[3] asm.org
[3] elsevierhealth.com
[3] sciencedirect.com
[2] jci.org
[2] sciencemag.org
[2] biorxiv.org
[2] elsevierpure.com

Top Domains in Tweet in G4:
[7] semanticscholar.org
[3] nature.com
[1] nih.gov
[1] europepmc.org
[1] twitter.com
[1] cormandrostenreview.com
[1] fluoridefreepeel.ca

Top Domains in Tweet in G5:
[3] nih.gov
[2] sciencedaily.com
[1] elsevierhealth.com

Top Domains in Tweet in G6:
[3] twitter.com
[1] co.uk
[1] nih.gov

Top Domains in Tweet in G7:
[7] who.int

Top Domains in Tweet in G8:
[40] google.com
[1] jkms.org

Top Domains in Tweet in G9:
[19] google.com
[8] recombinomics.co
[5] cdc.gov
[3] twitter.com
[2] youtube.com
[1] cormandrostenreview.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[55] covid19
[16] coronavirus
[15] wuhan
[15] eii
[14] pasteur
[12] sarscov2
[9] derechoshumanos
[8] covid
[6] fahreddinkocayargilansin
[6] maskeyehayä±r



Top Hashtags in Tweet in G1:
[11] covid19
[5] coronavirus
[3] covid
[2] sarscov2
[2] smyt
[2] thewiderwiserview
[2] covid_19
[1] misiones
[1] dap
[1] rodaviva

Top Hashtags in Tweet in G2:
[2] receptorbindingdomains
[2] sarscov2
[1] 2020_recapapril

Top Hashtags in Tweet in G4:
[3] covid19
[2] orf8
[2] sarscov2
[1] orf8_deletion

Top Hashtags in Tweet in G7:
[1] nih

Top Hashtags in Tweet in G9:
[1] pcrtest
[1] covid19inflighttransmission

Top Hashtags in Tweet in G10:
[1] goodbye

Top Words
Top Words in Tweet in Entire Graph:
[3380] sars
[3164] cov
[679] î
[518] virus
[453] coronavirus
[449] covid
[257] 19
[216] mers
[158] robinmonotti
[142] protein

Top Words in Tweet in G1:
[600] cov
[595] sars
[556] î
[82] virus
[67] νέες
[67] μολύνσεις
[67] αναλυτικοί
[67] πίνακες
[52] covid
[40] 19

Top Words in Tweet in G2:
[318] sars
[215] cov
[119] coronavirus
[117] angie_rasmussen
[103] going
[103] excellent
[103] piece
[103] ryan_mac_phd
[103] rodneyrohde
[103] oft

Top Words in Tweet in G3:
[31] cov
[30] sars
[16] virus
[10] vacuna
[9] gripe
[8] covid
[7] número
[6] infectados
[6] gt
[5] mata

Top Words in Tweet in G4:
[62] sars
[41] cov
[15] isolated
[14] virus
[12] coronavirus
[12] never
[12] vaccines
[10] 29
[10] immunization
[10] leads

Top Words in Tweet in G5:
[204] sars
[183] cov
[148] robinmonotti
[94] sequence
[88] analysis
[83] identity
[83] 90
[83] 52
[80] protein
[45] showed

Top Words in Tweet in G6:
[54] sars
[50] virus
[48] cov
[45] g05vi
[28] diferentes
[28] especie
[25] cepa
[24] miembro
[23] propiedades
[23] sustancialmente

Top Words in Tweet in G7:
[27] sars
[26] cov
[14] contra
[8] vírus
[8] inclusive
[7] cloroquina
[7] eficaz
[7] diversos
[7] coronavírus
[7] síndrome

Top Words in Tweet in G8:
[131] sars
[93] cov
[80] pirbright
[80] coronavirus
[42] covid
[42] 19
[40] patent
[40] gamma
[40] affects
[40] chickens

Top Words in Tweet in G9:
[50] cov
[49] sars
[37] covid
[32] sequences
[29] uk
[28] variant
[25] map
[20] increases
[20] 108
[20] see

Top Words in Tweet in G10:
[48] janicew78256134
[47] boris
[47] hosp
[47] admissions
[47] 33
[47] deaths
[47] 20
[47] last
[47] week
[47] covid

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2930] sars,cov
[471] î,î
[236] covid,19
[189] cov,sars
[182] mers,cov
[122] sars,coronavirus
[117] cov,mers
[103] going,sars
[103] coronavirus,excellent
[103] excellent,piece

Top Word Pairs in Tweet in G1:
[558] sars,cov
[390] î,î
[67] αναλυτικοί,πίνακες
[65] νέες,μολύνσεις
[64] μολύνσεις,sars
[62] cov,αναλυτικοί
[35] î,îºî
[34] mers,cov
[32] covid,19
[28] îºî,î

Top Word Pairs in Tweet in G2:
[191] sars,cov
[106] sars,coronavirus
[103] going,sars
[103] coronavirus,excellent
[103] excellent,piece
[103] piece,ryan_mac_phd
[103] ryan_mac_phd,rodneyrohde
[103] rodneyrohde,oft
[103] oft,ignored
[103] ignored,topic

Top Word Pairs in Tweet in G3:
[30] sars,cov
[5] vacuna,œ
[4] sistema,inmune
[4] gripe,influenzavirus
[3] número,muertos
[3] gt,aãºn
[3] aãºn,vacuna
[2] random_dragon,enricbernedaben
[2] enricbernedaben,yeyete2000
[2] yeyete2000,ej_molina_c

Top Word Pairs in Tweet in G4:
[40] sars,cov
[12] sars,coronavirus
[11] never,isolated
[10] immunization,sars
[10] coronavirus,vaccines
[10] vaccines,leads
[8] leads,pulmonary
[7] pulmonary,immunopathology
[7] immunopathology,challenge
[7] challenge,sars

Top Word Pairs in Tweet in G5:
[180] sars,cov
[83] 90,52
[78] cov,protein
[46] robinmonotti,sars
[44] sequence,analysis
[44] analysis,showed
[44] showed,90
[44] 52,identity
[44] identity,sars
[44] cov,molecular

Top Word Pairs in Tweet in G6:
[46] sars,cov
[24] miembro,especie
[23] especie,virus
[23] virus,propiedades
[23] propiedades,sustancialmente
[23] sustancialmente,diferentes
[23] diferentes,probablemente
[23] probablemente,origen
[22] cepa,miembro
[21] 10,cepa

Top Word Pairs in Tweet in G7:
[24] sars,cov
[7] cloroquina,eficaz
[7] eficaz,contra
[7] contra,diversos
[7] diversos,vírus
[7] vírus,inclusive
[7] inclusive,contra
[7] contra,coronavírus
[7] coronavírus,síndrome
[7] síndrome,respiratória

Top Word Pairs in Tweet in G8:
[91] sars,cov
[42] covid,19
[40] gamma,coronavirus
[40] coronavirus,affects
[40] affects,chickens
[40] chickens,beta
[40] beta,coronavirus
[40] coronavirus,sars
[40] cov,causes
[40] causes,covid

Top Word Pairs in Tweet in G9:
[48] sars,cov
[28] uk,variant
[28] variant,sars
[26] cov,covid
[20] covid,sequences
[20] sequences,increases
[20] increases,108
[20] 108,see
[20] see,detailed
[20] detailed,interactive

Top Word Pairs in Tweet in G10:
[47] boris,hosp
[47] hosp,admissions
[47] admissions,33
[47] 33,deaths
[47] deaths,20
[47] 20,last
[47] last,week
[47] week,covid
[47] covid,jab
[47] jab,roll

Top Replied-To
Top Replied-To in Entire Graph:
@ayjchan
@harvard2h
@jasonptodd
@billybostickson
@babarlelephant
@angie_rasmussen
@kenpcg
@lisa_iannattone
@robinmonotti
@ballouxfrancois

Top Replied-To in G2:
@ayjchan
@harvard2h
@billybostickson
@kenpcg
@angie_rasmussen
@lisa_iannattone
@__ice9
@oscardev3
@theseeker268
@rogerpielkejr

Top Replied-To in G3:
@alexandrajalva4
@961v
@chicomando1
@publico_es
@random_dragon
@juancar76484075
@luarna_hanna7
@cristinasegui_
@manhattanplanet
@watchgates

Top Replied-To in G4:
@ballouxfrancois
@chris_f_carson
@mathematikerrur
@thomaswendel10
@knaeckebrot2
@drbrandner
@csu
@mhhk871
@susanc66
@tielleteakag

Top Replied-To in G5:
@robinmonotti
@dusttrades
@chubbylysosome

Top Replied-To in G6:
@victorqq
@multiformato
@jorgegzlopez
@jccharc
@g05vi
@stefanoberto83
@rkarmark
@marcocattaneo
@trvrb
@___ingmar___

Top Replied-To in G7:
@brunoeml
@anacarolpecanha
@sergiobrisola
@voebruno
@vitorma14766173
@maiconsant15
@133_miguel
@monteiroamands
@jojopancada
@miltonjung

Top Replied-To in G8:
@tj0055
@britsincancun
@oldmanlogan2008
@annadebuisseret
@bbcfrch
@verusoss1
@makariosschell1
@4lph4thor
@gseligit
@heidisturgess

Top Replied-To in G9:
@sm_news24
@jaygopalan1
@maskcapecod
@normannakanishi
@medialew
@screaminbeva
@humanistreport
@adrianabarton
@loishenrystone
@klstnews

Top Replied-To in G10:
@seahaze55
@patrici37505931
@dl7010
@jonnyseale1975
@thewibblemovem1
@janicew78256134

Top Mentioned
Top Mentioned in Entire Graph:
@robinmonotti
@angie_rasmussen
@ryan_mac_phd
@rodneyrohde
@iangulochacon
@minesoh
@janicew78256134
@g05vi
@patrickweil1
@mdvrdrmn

Top Mentioned in G1:
@jacksonsmitha
@nanaansah
@chemistrykaren
@ecopolitic_ro

Top Mentioned in G2:
@angie_rasmussen
@ryan_mac_phd
@rodneyrohde
@billybostickson
@nicholsonbaker8
@smackenziekerr
@k_g_andersen
@nymag
@ayjchan
@rossana38510044

Top Mentioned in G3:
@matthewbennett
@enricbernedaben
@yeyete2000
@ej_molina_c
@gemmspp
@andresj777
@jbarrios107
@nccarmon
@mariaje45669909
@robinmonotti

Top Mentioned in G4:
@michaelyeadon3
@shomburg
@jonrappoport
@profvrr
@adam_creighton
@juliahb1
@thomas_wilckens
@clarecraigpath
@jengleruk
@christi45657364

Top Mentioned in G5:
@robinmonotti
@disorientated21
@billybostickson
@politicsweb
@romancabanac
@rach_driver

Top Mentioned in G6:
@g05vi
@arambaut
@who
@trvrb
@rd_blueprint
@mvankerkhove
@stratcons
@lximenezfyvie
@firefoxx66
@minesoh

Top Mentioned in G7:
@drsimonegold
@ailtonbenedito
@raoult_didier
@nise_dra
@folha
@rconstantino
@jairbolsonaro
@minsaude
@breesanna
@slvasco

Top Mentioned in G8:
@knowurenemy3
@jobutterfly888
@pipsinks
@gatesfoundation
@cdcgov
@pirbright_inst
@bwfund
@defragovuk
@rogerstrevor1
@ali_senkblei

Top Mentioned in G9:
@youtube
@cdcgov
@nih
@nhsconfed
@fordnation
@tuneoutandlook
@heaneyp
@carlosdelrio7
@rbiblebeliever
@_danielsinclair

Top Mentioned in G10:
@janicew78256134
@pcrclaims
@matthancock
@boblister_poole
@pfizer
@biontech_group
@charleswalkermp
@sirgrahambrady

Top Tweeters
Top Tweeters in Entire Graph:
@lasillarota
@paoloigna1
@amaia_haikazti
@inabster
@gambiste1
@faby_nava77
@fainformazione
@repubblica
@menabster
@thehill

Top Tweeters in G1:
@astratv1
@inewsgr
@diogenischarala
@lightvampire
@questoyquelotro
@kokikokiya
@twieterazzi
@diariomarcaoax
@sporadestv
@tonytony0250

Top Tweeters in G2:
@lizditz
@sandi_childs
@jjmplsmn
@pistach01
@carolforden
@lighthealing
@stillwaters777
@missjoy1965
@nymag
@stlentner

Top Tweeters in G3:
@publico_es
@matthewbennett
@hjorvik
@pelayo1938
@aberron
@pau_vega13
@ej_molina_c
@cristinasegui_
@ferfrias
@iescolar

Top Tweeters in G4:
@thehill
@mutalabala
@teajunkie1
@reptoid_hunter
@naphisoc
@tweettruth2me
@essexpr
@60carltonst
@manorsteps
@wishbumpycoulda

Top Tweeters in G5:
@princessofwails
@sanlovita
@jackcolleton
@ban_animal_test
@annika1021
@roodgridance
@turnermx
@drkassandrapari
@nellsventura
@jokerfleck2

Top Tweeters in G6:
@paoloigna1
@faby_nava77
@tancredipalmeri
@jccharc
@juanomarfierro
@nordicgeo
@mackayim
@stratcons
@aichoron
@cerezasallicor

Top Tweeters in G7:
@huffpost
@folha
@roxmo
@ordemprogresso7
@minsaude
@iaragb
@adraeng
@dramonicagiusti
@ailtonbenedito
@1995juliacs

Top Tweeters in G8:
@leahr77
@newscomauhq
@rakiko_hime
@jansensadriaan
@sierrawhiskee
@oldmanlogan2008
@surveyorx
@ezralevant
@conserve_life
@verusoss1

Top Tweeters in G9:
@abc13houston
@cp24
@bettycjung
@cernovich
@chocolat_kay
@loishenrystone
@toetterbeck
@ninedee21
@carlosdelrio7
@_danielsinclair

Top Tweeters in G10:
@carlfletcher15
@boblister_poole
@nick_pye
@tony80554056
@lizzywales
@seancorourke
@bobmoor33020935
@piepony1
@teejayr31
@miserablesatire


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