SARS-COV, Twitter, 9/26/2020 11:25:17 PM, 236085


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SARS-COV_2020-09-26_04-40-49.xlsx
SARS-COV_2020-09-26_04-40-49.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 26, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/3kISirU
@mab_sp125
@alessandroloio2
@flavinkins
@__ice9
@realdonaldtrump
@flahault
@rosariop70
@uberrimaefidei1
@voyager_2000
@drsimonegold

Top hashtags:
#sarscov2
#covid19
#coronavirus
#ivermectina
#kag
#virus
#cyprus
#كورونا

Description:
Description
The graph represents a network of 5,884 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 Saturday, 26 September 2020 at 11:44 UTC.

The requested start date was Saturday, 26 September 2020 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, 23-hour, 55-minute period from Saturday, 12 September 2020 at 00:04 UTC to Saturday, 26 September 2020 at 00:00 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 : 5884
Unique Edges : 2705
Edges With Duplicates : 8183
Total Edges : 10888
Number of Edge Types : 5
Tweet : 506
Replies to : 817
Mentions : 1985
Retweet : 3563
MentionsInRetweet : 4017
Self-Loops : 539
Reciprocated Vertex Pair Ratio : 0.0132884777123633
Reciprocated Edge Ratio : 0.0262284196547145
Connected Components : 785
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 1521
Maximum Edges in a Connected Component : 3244
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 4.74814
Graph Density : 0.000174025724607411
Modularity : 0.542598
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,884 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 Saturday, 26 September 2020 at 11:44 UTC.

The requested start date was Saturday, 26 September 2020 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, 23-hour, 55-minute period from Saturday, 12 September 2020 at 00:04 UTC to Saturday, 26 September 2020 at 00:00 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:
[11] https://jvi.asm.org/content/early/2020/09/10/JVI.01410-20
[8] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[7] https://www.youtube.com/watch?v=1OksrNgvVO0&feature=youtu.be

[6] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2820%2930484-9%2Ffulltext&rc=0
[5] https://www.biorxiv.org/content/10.1101/2020.09.21.306837v1
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[5] https://twitter.com/santacruzarg/status/1307012160124522496
[4] https://www.cebm.net/covid-19/infectious-positive-pcr-test-result-covid-19/
[4] https://news.yale.edu/2020/09/21/what-we-know-about-covid-19-and-kids
[4] https://archive.org/details/cov_20200919

Top URLs in Tweet in G1:
[1] https://twitter.com/mab_sp125/status/1283561306092707846
[1] https://twitter.com/oatila/status/1308477183648821250

Top URLs in Tweet in G4:
[3] https://science.sciencemag.org/content/369/6510/1505
[3] https://twitter.com/santacruzarg/status/1307012160124522496
[3] https://www.biorxiv.org/cgi/content/short/2020.09.21.306837v1
[2] https://awesomecapital.blogspot.com/2020/09/acute-transverse-myelitis-associated.html?spref=tw
[2] https://www.acquavivalive.it/news/attualita/973973/antonio-sanguedolce-sono-35-i-nuovi-casi-di-contagio-da-sars-cov-2-rilevati-oggi
[2] https://www.biorxiv.org/content/10.1101/2020.09.21.306837v1
[1] https://twitter.com/wbyeats1865/status/1304653555563806720
[1] https://twitter.com/Bestyb11/status/1304672191611625472
[1] https://twitter.com/SputnikMundo/status/1304929031612108802
[1] https://twitter.com/OdilonRocha1/status/1304872110855258113

Top URLs in Tweet in G6:
[1] https://twitter.com/CyrilPedia/status/1309085219966853127
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[1] https://wwwnc.cdc.gov/eid/article/26/9/20-1806_article

Top URLs in Tweet in G7:
[3] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-0771-4
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-2550-z
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0820-9%3Ffbclid%3DIwAR3w65RgILi01mVjIMQ2LKeZS4xUkLz5LRBinImTKRPOWSnCqIQWw_hDzR0
[1] https://twitter.com/TimTravis2/status/1304131566809964546
[1] https://twitter.com/HeckofaLiberal/status/1287809236420894721?s=20

Top URLs in Tweet in G8:
[3] https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1004063
[3] https://jvi.asm.org/content/81/3/1162
[2] https://www.med.unc.edu/orfeome/files/2018/03/a-sars-like-cluster-of-circulating-bat-coronaviruses-shows-potential-for-human-emergence.pdf
[2] https://twitter.com/__ice9/status/1308210509695594502?s=19
[2] https://www.sciencemag.org/sites/default/files/Shi%20Zhengli%20Q%26A.pdf
[2] https://europepmc.org/article/pmc/pmc7111894
[2] https://www.researchgate.net/publication/254615633_Cofactors_in_Coronavirus_Entry
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[2] https://www.pnas.org/cgi/doi/10.1073/pnas.0605438103
[2] https://patents.justia.com/patent/7279327

Top URLs in Tweet in G9:
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[3] https://www.healio.com/pediatrics/respiratory-infections/news/online/%7B1adbec96-e53b-4d62-9eef-d0672970b61d%7D/chloroquine-azithromycin-combination-decreased-respiratory-gastrointestinal-tract-infections
[1] https://apple.news/A2BQ2g_qJQ1qIlZT-MXYL_g
[1] https://twitter.com/Doc_Myles/status/1306458369373347840
[1] https://www.jpost.com/health-science/israeli-scientists-in-three-weeks-we-will-have-coronavirus-vaccine-619101
[1] https://www.foxnews.com/health/university-pittsburgh-antibody-neutralizes-coronavirus
[1] https://www.niaid.nih.gov/diseases-conditions/coronaviruses

Top URLs in Tweet in G10:
[2] https://twitter.com/presscoreca/status/1301456233891868675
[1] https://pubmed.ncbi.nlm.nih.gov/28011970/
[1] https://twitter.com/presscoreca/status/1299698400758300673
[1] https://presscore.ca/drug-free-antimicrobial-technology-that-would-save-billions-in-health-care-cost/
[1] https://twitter.com/presscoreca/status/1300585717572292608
[1] https://pubmed.ncbi.nlm.nih.gov/15650225/

Top Domains
Top Domains in Tweet in Entire Graph:
[70] twitter.com
[41] nih.gov
[33] nature.com
[21] youtube.com
[18] asm.org
[17] biorxiv.org
[13] elsevierhealth.com
[12] maghreb-post.de
[11] cdc.gov
[10] sciencemag.org

Top Domains in Tweet in G1:
[2] twitter.com

Top Domains in Tweet in G4:
[34] twitter.com
[8] biorxiv.org
[6] linkedin.com
[5] sciencemag.org
[3] trialbulletin.com
[2] blogspot.com
[2] deccanchronicle.com
[2] asm.org
[2] wiley.com
[2] elsevierhealth.com

Top Domains in Tweet in G6:
[2] cdc.gov
[1] twitter.com

Top Domains in Tweet in G7:
[5] nature.com
[2] twitter.com

Top Domains in Tweet in G8:
[7] twitter.com
[6] nature.com
[5] nih.gov
[4] pnas.org
[4] asm.org
[3] researchgate.net
[3] plos.org
[2] unc.edu
[2] sciencemag.org
[2] europepmc.org

Top Domains in Tweet in G9:
[4] nih.gov
[3] healio.com
[1] apple.news
[1] twitter.com
[1] jpost.com
[1] foxnews.com

Top Domains in Tweet in G10:
[4] twitter.com
[2] nih.gov
[1] presscore.ca

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[51] sarscov2
[41] covid19
[16] coronavirus
[11] ivermectina
[11] kag
[6] virus
[6] cyprus
[6] كورونا
[5] covid
[5] antiviral



Top Hashtags in Tweet in G4:
[6] covid19
[3] coronavirus
[3] covid
[2] ace2
[2] pcr
[2] somosamfv
[1] oms
[1] coronaviruses
[1] hace2
[1] cuartomilenio

Top Hashtags in Tweet in G6:
[32] sarscov2
[2] sars_cov_2
[1] covid19

Top Hashtags in Tweet in G8:
[2] covid19
[1] coronavirus
[1] sarscov2
[1] limengyannew
[1] limengyan

Top Hashtags in Tweet in G9:
[11] kag
[1] trumpvirus
[1] trumpfailed
[1] trumpisunwell
[1] covid19
[1] coronavirus
[1] sarscov2

Top Hashtags in Tweet in G10:
[1] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[5553] cov
[5390] sars
[2117] hcov
[1562] não
[1038] coronas
[1036] mab_sp125
[985] os
[957] outros
[954] acho
[954] possível

Top Words in Tweet in G1:
[1081] sars
[1081] cov
[1002] coronas
[1000] mab_sp125
[927] não
[924] peço
[924] licença
[924] respeitosamente
[924] discordar
[924] acho

Top Words in Tweet in G2:
[629] sars
[629] cov
[615] não
[593] tipo
[587] em
[586] epidemia
[586] 2002
[586] 2004
[586] mostrou
[586] fechar

Top Words in Tweet in G3:
[1008] hcov
[262] cov
[259] sars
[254] coronavirus
[252] dado
[252] usted
[252] positivo
[252] 229e
[252] oc43
[252] nl63

Top Words in Tweet in G4:
[422] cov
[407] sars
[81] virus
[54] mers
[48] covid
[43] 19
[33] coronavirus
[22] respiratory
[20] acute
[20] cell

Top Words in Tweet in G5:
[960] hcov
[696] cov
[468] sars
[242] coronavirus
[240] positivo
[240] 229e
[240] oc43
[240] nl63
[240] hku1
[239] dado

Top Words in Tweet in G6:
[138] cov
[136] sars
[119] par
[116] mode
[116] info
[116] spécial
[116] dédicace
[116] ceux
[116] pensent
[116] propage

Top Words in Tweet in G7:
[126] sars
[126] cov
[105] virus
[103] bat
[101] research
[100] gain
[100] function
[99] fauci
[99] funded
[99] university

Top Words in Tweet in G8:
[167] cov
[158] sars
[30] virus
[26] ayjchan
[23] paper
[22] site
[22] flavinkins
[20] spike
[19] __ice9
[18] furin

Top Words in Tweet in G9:
[62] cov
[61] sars
[22] realdonaldtrump
[19] covid
[18] 19
[18] chloroquine
[16] 2005
[15] potus
[15] coronavirus
[14] known

Top Words in Tweet in G10:
[124] presscoreca
[99] sars
[83] without
[57] cov
[44] 2005
[44] vaccine
[44] human
[43] against
[43] coronaviruses
[42] 2003

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[5058] sars,cov
[953] peço,licença
[953] licença,respeitosamente
[953] respeitosamente,discordar
[953] discordar,não
[953] não,acho
[953] acho,possível
[953] possível,comparar
[953] comparar,sars
[953] cov,os

Top Word Pairs in Tweet in G1:
[1081] sars,cov
[924] peço,licença
[924] licença,respeitosamente
[924] respeitosamente,discordar
[924] discordar,não
[924] não,acho
[924] acho,possível
[924] possível,comparar
[924] comparar,sars
[924] cov,os

Top Word Pairs in Tweet in G2:
[629] sars,cov
[586] epidemia,sars
[586] 2002,2004
[586] 2004,mostrou
[586] mostrou,fechar
[586] fechar,escolas
[586] escolas,não
[586] não,diminuía
[586] diminuía,disseminação
[586] disseminação,vírus

Top Word Pairs in Tweet in G3:
[258] sars,cov
[252] dado,usted
[252] usted,positivo
[252] positivo,coronavirus
[252] hcov,229e
[252] 229e,hcov
[252] hcov,oc43
[252] oc43,hcov
[252] hcov,nl63
[252] nl63,hcov

Top Word Pairs in Tweet in G4:
[376] sars,cov
[40] covid,19
[40] mers,cov
[34] cov,sars
[24] cov,mers
[19] respiratory,syndrome
[17] acute,respiratory
[16] severe,acute
[16] cov,infection
[13] virus,sars

Top Word Pairs in Tweet in G5:
[468] sars,cov
[240] positivo,coronavirus
[240] hcov,229e
[240] 229e,hcov
[240] hcov,oc43
[240] oc43,hcov
[240] hcov,nl63
[240] nl63,hcov
[240] hcov,hku1
[240] hku1,sars

Top Word Pairs in Tweet in G6:
[136] sars,cov
[116] mode,info
[116] info,spécial
[116] spécial,dédicace
[116] dédicace,ceux
[116] ceux,pensent
[116] pensent,sars
[116] cov,propage
[116] propage,par
[116] par,mains

Top Word Pairs in Tweet in G7:
[125] sars,cov
[102] bat,virus
[100] gain,function
[100] function,research
[99] fauci,funded
[99] funded,gain
[99] research,university
[99] university,north
[99] north,carolina
[99] carolina,chapel

Top Word Pairs in Tweet in G8:
[152] sars,cov
[14] cov,spike
[12] cleavage,site
[12] ale_battini,seven7ins
[12] seven7ins,lynnfynn3
[12] lynnfynn3,travellightp1
[12] travellightp1,chartreader2
[12] chartreader2,covidmillion
[11] furin,cleavage
[9] mouse,adapted

Top Word Pairs in Tweet in G9:
[55] sars,cov
[17] covid,19
[11] cov,2002
[11] potus,right
[11] right,#kag
[11] #kag,chloroquine
[11] chloroquine,known
[11] known,2005
[11] 2005,combat
[11] combat,coronavirus

Top Word Pairs in Tweet in G10:
[57] sars,cov
[42] 2003,sars
[42] human,coronaviruses
[41] sars,sars
[41] cov,outbreak
[41] outbreak,ended
[41] ended,eradicated
[41] eradicated,without
[41] without,shutting
[41] shutting,down

Top Replied-To
Top Replied-To in Entire Graph:
@ayjchan
@luigi_warren
@waltisiegrist
@halvorz
@jlsteeg
@realdonaldtrump
@c_drosten
@rolandbakeriii
@tsmit103
@oscardev3

Top Replied-To in G3:
@quodcivis
@sigularmente

Top Replied-To in G6:
@drgomi
@sandyspook
@postcovid_ch
@watchabroad
@needle2
@inge_cata
@g_corbeau
@drjeep_
@bag_ofsp_ufsp
@itosettimd_mba

Top Replied-To in G7:
@brennalass
@rossfairchild
@veryvirology

Top Replied-To in G8:
@ayjchan
@luigi_warren
@halvorz
@oscardev3
@__ice9
@ale_battini
@czilcho
@jkliu_tt
@3ghtweets
@wanderer_jasnah

Top Replied-To in G9:
@realdonaldtrump
@statedept
@mojorisin15
@whitehouse
@genflynn
@wsteaks
@reuters
@omgdalton
@robbystarbuck
@drsimonegold

Top Mentioned
Top Mentioned in Entire Graph:
@mab_sp125
@alessandroloio2
@lylysa7
@qspan0n
@presscoreca
@ericbillyfr
@msnorthcott
@nataliavartan
@stefbazzi
@coronavirusnewv

Top Mentioned in G1:
@mab_sp125

Top Mentioned in G2:
@alessandroloio2
@mab_sp125

Top Mentioned in G3:
@lylysa7
@qspan0n
@_cerise_

Top Mentioned in G4:
@cmencke
@jeapam
@coronav56327011
@renald_duckyu
@esenzafer2
@fa7cisxsfxjdyeo

Top Mentioned in G5:
@qspan0n
@lylysa7
@qan0ns

Top Mentioned in G6:
@ericbillyfr
@flahault
@fignon_laurent
@__ice9
@bag_ofsp_ufsp
@virusesimmunity
@nnormalitat
@itosettimd_mba
@erictopol
@hkuniversity

Top Mentioned in G7:
@msnorthcott
@drsubhasree
@tlowdon
@wcheesemaker
@kj4usa
@jackposobiec
@jaketapper
@grawoig
@facbook
@unc

Top Mentioned in G8:
@flavinkins
@__ice9
@ayjchan
@seven7ins
@lynnfynn3
@travellightp1
@chartreader2
@covidmillion
@bidolinicola
@rowanjacobsen

Top Mentioned in G9:
@realdonaldtrump
@potus
@fakemedianews
@rickbkylex
@drsimonegold
@concealcarrygrl
@joebiden
@presssec
@secpompeo
@who

Top Mentioned in G10:
@presscoreca

Top Tweeters
Top Tweeters in Entire Graph:
@wittgenstein_jm
@revolution_fr
@zolangegonzalez
@drdaveanddee
@citrus_kyoto
@crweworld
@abscbnnews
@menabster
@thehill
@ia_regnum

Top Tweeters in G1:
@allampatriots
@limadoc
@wardz_de_souza
@eifrodo
@jeffs_araujo35
@pensologoehisto
@rlivre
@omnipangolin
@filho_terciofut
@reiastrologia

Top Tweeters in G2:
@pauloparmm
@pec56urgente
@new_delia
@daysebarela
@shushirlei
@angelicaguirele
@kassatti
@confiante3
@josmarcelodona3
@reallytando

Top Tweeters in G3:
@barandaand
@anaperezmartin
@eelenavg
@julioabascal56
@gisabel906
@raquel98s
@quodcivis
@funciona24
@juanapr27332865
@hijodeldesorden

Top Tweeters in G4:
@crweworld
@ia_regnum
@rigotordoc
@srzhtesfay
@fbwm8888
@sk_twicemomo96
@iwearagasmask
@tothur
@khandanim
@observatorulph

Top Tweeters in G5:
@chaconjender
@pepitobarcelona
@sin_pepitas_
@losemarrp
@jappserrallo
@bebesitaper04
@victor1946
@chrisjamesd
@jhonatanro
@nightingaleyor1

Top Tweeters in G6:
@revolution_fr
@kitri1
@docarnica
@capalutwit
@virginievotier
@elisa15000
@ahabounette
@janineg06
@pierregestede
@fbrigod

Top Tweeters in G7:
@drdaveanddee
@owlwoman911_
@icare4america16
@madrynha2012
@z_chrissie
@cjsienna55
@chimni_sapna
@kldude
@jaketapper
@boltladypls

Top Tweeters in G8:
@zerohedge
@smadygo
@luigi_warren
@real_adam_b
@valuabletofind1
@gmwatch
@bostonmagazine
@scottadamssays
@antihero_kate
@daniel_bilar

Top Tweeters in G9:
@reuters
@eversfam
@rickbkylex
@conserv2mysoul
@lancedkewley
@concealcarrygrl
@realgspatton007
@ljt_is_me
@ericmmatheny
@2disabled

Top Tweeters in G10:
@lyndae222
@lambert_pp
@havenaar64
@garden_nome1
@johnnieoil
@mountkidd
@lisamar91564392
@noeasybrushoff
@casperthemedic
@canadaknife


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