SARS-COV, Twitter, 9/29/2020 9:30:25 PM, 236286


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SARS-COV_2020-09-29_01-55-52.xlsx
SARS-COV_2020-09-29_01-55-52.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 29, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/2G93eQM
@mab_sp125
@alessandroloio2
@tuckercarlson
@yu_ttan7575
@byronhsu2
@__ice9
@realdonaldtrump
@msnorthcott
@tomfitton
@cordiallycase

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

Description:
Description
The graph represents a network of 6,128 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 Tuesday, 29 September 2020 at 08:59 UTC.

The requested start date was Monday, 28 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, 20-hour, 55-minute period from Monday, 14 September 2020 at 02:58 UTC to Sunday, 27 September 2020 at 23:54 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 : 6128
Unique Edges : 2546
Edges With Duplicates : 8764
Total Edges : 11310
Number of Edge Types : 5
Retweet : 3871
MentionsInRetweet : 4313
Mentions : 1801
Replies to : 816
Tweet : 509
Self-Loops : 544
Reciprocated Vertex Pair Ratio : 0.0108143535965918
Reciprocated Edge Ratio : 0.0213973091262765
Connected Components : 775
Single-Vertex Connected Components : 247
Maximum Vertices in a Connected Component : 1526
Maximum Edges in a Connected Component : 3258
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 4.914857
Graph Density : 0.000164303998779532
Modularity : 0.536815
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,128 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 Tuesday, 29 September 2020 at 08:59 UTC.

The requested start date was Monday, 28 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, 20-hour, 55-minute period from Monday, 14 September 2020 at 02:58 UTC to Sunday, 27 September 2020 at 23:54 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://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[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://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:
[1] https://www.youtube.com/watch?v=AAQ1WYjj3Co


Top URLs in Tweet in G5:
[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://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] http://dlvr.it/RgXz5q
[1] https://www.deccanchronicle.com/amp/nation/current-affairs/120920/icmr-shocker-india-missed-80-corona-cases-for-every-one-detected.html
[1] https://www.linkedin.com/slink?code=dym-83U
[1] https://www.linkedin.com/slink?code=dfpVH28
[1] https://www.rcsb.org/structure/3I6G

Top URLs in Tweet in G7:
[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 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.researchgate.net/publication/254615633_Cofactors_in_Coronavirus_Entry
[2] https://europepmc.org/article/pmc/pmc7111894
[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://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:
[1] https://twitter.com/TimTravis2/status/1304131566809964546
[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

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[53] sarscov2
[39] covid19
[15] coronavirus
[11] ivermectina
[11] kag
[6] cyprus
[6] كورونا
[5] covid
[5] antiviral
[4] covidー19



Top Hashtags in Tweet in G4:
[11] ivermectina
[1] covid

Top Hashtags in Tweet in G5:
[7] covid19
[4] coronavirus
[3] covid
[3] pcr
[2] thewiderwiserview
[1] 2019ncov
[1] q123a
[1] quiz
[1] trivia
[1] test

Top Hashtags in Tweet in G7:
[32] sarscov2

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

Top Words
Top Words in Tweet in Entire Graph:
[5667] cov
[5569] sars
[2212] hcov
[1567] não
[1234] covid
[1044] coronas
[1042] mab_sp125
[979] os
[961] outros
[960] acho

Top Words in Tweet in G1:
[1088] sars
[1088] cov
[1008] coronas
[1006] mab_sp125
[932] não
[929] peço
[929] licença
[929] respeitosamente
[929] discordar
[929] acho

Top Words in Tweet in G2:
[630] sars
[630] cov
[616] não
[593] tipo
[589] em
[587] epidemia
[587] 2002
[587] 2004
[587] mostrou
[587] fechar

Top Words in Tweet in G3:
[1060] hcov
[270] sars
[270] cov
[267] coronavirus
[265] dado
[265] usted
[265] positivo
[265] cual
[265] 229e
[265] oc43

Top Words in Tweet in G4:
[251] 19
[250] covid
[249] doctormacias
[249] enfermedd
[249] curable
[249] buena
[249] descripción
[249] únicos
[249] casos
[249] evidencia

Top Words in Tweet in G5:
[415] cov
[400] sars
[83] virus
[52] mers
[51] covid
[49] 19
[35] coronavirus
[25] respiratory
[22] infection
[22] syndrome

Top Words in Tweet in G6:
[992] hcov
[710] cov
[479] sars
[250] coronavirus
[248] positivo
[248] 229e
[248] oc43
[248] nl63
[248] hku1
[247] dado

Top Words in Tweet in G7:
[136] cov
[134] sars
[123] par
[120] mode
[120] info
[120] spécial
[120] dédicace
[120] ceux
[120] pensent
[120] propage

Top Words in Tweet in G8:
[216] sars
[195] cov
[32] virus
[26] paper
[22] ayjchan
[20] flavinkins
[20] site
[20] spike
[20] __ice9
[19] article

Top Words in Tweet in G9:
[121] sars
[120] cov
[100] research
[100] bat
[100] virus
[99] fauci
[99] funded
[99] gain
[99] function
[99] university

Top Words in Tweet in G10:
[91] quale
[91] positivo
[90] quando
[90] fate
[90] test
[90] sierologico
[90] tampone
[90] chiedete
[90] corona
[90] virus

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[5172] sars,cov
[958] peço,licença
[958] licença,respeitosamente
[958] respeitosamente,discordar
[958] discordar,não
[958] não,acho
[958] acho,possível
[958] possível,comparar
[958] comparar,sars
[958] cov,os

Top Word Pairs in Tweet in G1:
[1088] sars,cov
[929] peço,licença
[929] licença,respeitosamente
[929] respeitosamente,discordar
[929] discordar,não
[929] não,acho
[929] acho,possível
[929] possível,comparar
[929] comparar,sars
[929] cov,os

Top Word Pairs in Tweet in G2:
[630] sars,cov
[587] epidemia,sars
[587] 2002,2004
[587] 2004,mostrou
[587] mostrou,fechar
[587] fechar,escolas
[587] escolas,não
[587] não,diminuía
[586] diminuía,disseminação
[586] disseminação,vírus

Top Word Pairs in Tweet in G3:
[269] sars,cov
[265] dado,usted
[265] usted,positivo
[265] positivo,coronavirus
[265] coronavirus,cual
[265] cual,hcov
[265] hcov,229e
[265] 229e,hcov
[265] hcov,oc43
[265] oc43,hcov

Top Word Pairs in Tweet in G4:
[250] covid,19
[249] 19,enfermedd
[249] enfermedd,curable
[249] curable,buena
[249] buena,descripción
[249] descripción,únicos
[249] únicos,casos
[249] casos,evidencia
[249] evidencia,comprobable
[248] doctormacias,covid

Top Word Pairs in Tweet in G5:
[367] sars,cov
[45] covid,19
[41] mers,cov
[33] cov,sars
[21] cov,mers
[21] respiratory,syndrome
[18] acute,respiratory
[17] severe,acute
[16] cov,infection
[14] virus,sars

Top Word Pairs in Tweet in G6:
[479] sars,cov
[248] positivo,coronavirus
[248] hcov,229e
[248] 229e,hcov
[248] hcov,oc43
[248] oc43,hcov
[248] hcov,nl63
[248] nl63,hcov
[248] hcov,hku1
[248] hku1,sars

Top Word Pairs in Tweet in G7:
[134] sars,cov
[120] mode,info
[120] info,spécial
[120] spécial,dédicace
[120] dédicace,ceux
[120] ceux,pensent
[120] pensent,sars
[120] cov,propage
[120] propage,par
[120] par,mains

Top Word Pairs in Tweet in G8:
[176] sars,cov
[14] cov,spike
[13] seven7ins,lynnfynn3
[13] lynnfynn3,travellightp1
[12] ale_battini,seven7ins
[12] travellightp1,chartreader2
[12] chartreader2,covidmillion
[11] cleavage,site
[10] sars,cov2
[10] furin,cleavage

Top Word Pairs in Tweet in G9:
[120] sars,cov
[99] fauci,funded
[99] funded,gain
[99] gain,function
[99] function,research
[99] research,university
[99] university,north
[99] north,carolina
[99] carolina,chapel
[99] chapel,hill

Top Word Pairs in Tweet in G10:
[90] quando,fate
[90] fate,test
[90] test,sierologico
[90] sierologico,tampone
[90] tampone,chiedete
[90] chiedete,quale
[90] quale,corona
[90] corona,virus
[90] virus,siete
[90] siete,positivi

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

Top Replied-To in G3:
@albatrostv
@quodcivis
@sigularmente

Top Replied-To in G4:
@jluigis

Top Replied-To in G7:
@drgomi
@inge_cata
@g_corbeau
@drjeep_
@itosettimd_mba

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

Top Replied-To in G10:
@labombetta76
@diegodramalove

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

Top Mentioned in G1:
@mab_sp125

Top Mentioned in G2:
@alessandroloio2
@mab_sp125
@chabanjr

Top Mentioned in G3:
@lylysa7
@_cerise_
@milohdz
@albatrostv

Top Mentioned in G4:
@doctormacias
@aolavarria

Top Mentioned in G5:
@jeapam
@coronav56327011
@renald_duckyu
@fa7cisxsfxjdyeo
@alsayedomar1996

Top Mentioned in G6:
@qspan0n
@lylysa7
@qan0ns

Top Mentioned in G7:
@ericbillyfr
@flahault
@fignon_laurent
@__ice9
@yonatman
@wargonm
@alf_pirsouz
@yordayou
@tcho3105
@romainm45081967

Top Mentioned in G8:
@flavinkins
@__ice9
@gummibear737
@seven7ins
@lynnfynn3
@travellightp1
@covidmillion
@chartreader2
@ayjchan
@ale_battini

Top Mentioned in G9:
@msnorthcott
@epigeneticwhisp
@drsubhasree
@smackenziekerr
@michaelcoudrey

Top Mentioned in G10:
@stefbazzi
@ophelianym
@piersar62
@vittoriosgarbi
@stampasgarbi
@adnkronos
@ilgiornale
@libero_official
@jocnobot

Top Tweeters
Top Tweeters in Entire Graph:
@wittgenstein_jm
@revolution_fr
@zolangegonzalez
@drdaveanddee
@citrus_kyoto
@faby_nava77
@crweworld
@abscbnnews
@menabster
@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
@xvzla2009
@julioabascal56
@gisabel906
@raquel98s
@quodcivis
@funciona24
@juanapr27332865
@hijodeldesorden

Top Tweeters in G4:
@faby_nava77
@razcolnicov
@aries7004
@lagugosi123
@aldu_maria
@ruth4lis
@kaiserofl06
@quico70
@mr_jeffry
@embolicat

Top Tweeters in G5:
@crweworld
@ia_regnum
@srzhtesfay
@qzv00507
@fbwm8888
@iwearagasmask
@tothur
@grodaeu
@observatorulph
@bckaemper

Top Tweeters in G6:
@chaconjender
@pepitobarcelona
@sin_pepitas_
@losemarrp
@jappserrallo
@bebesitaper04
@victor1946
@chrisjamesd
@jhonatanro
@nightingaleyor1

Top Tweeters in G7:
@revolution_fr
@kitri1
@docarnica
@capalutwit
@virginievotier
@elisa15000
@ahabounette
@janineg06
@pierregestede
@fbrigod

Top Tweeters in G8:
@sandoly
@zerohedge
@smadygo
@baizuobu
@luigi_warren
@gregkoester
@real_adam_b
@lgsos
@valuabletofind1
@gmwatch

Top Tweeters in G9:
@drdaveanddee
@owlwoman911_
@icare4america16
@madrynha2012
@z_chrissie
@cjsienna55
@chimni_sapna
@kldude
@boltladypls
@lawyer4laws

Top Tweeters in G10:
@dileguossi
@adnkronos
@daniele19921
@italianoeromano
@melinacugliari
@kickmyballs222
@renatolega
@libero_official
@enki2270
@duxfightdemon


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