SARS-COV, Twitter, 1/27/2021 6:20:42 PM, 246643


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SARS-COV_2021-01-27_01-53-11.xlsx
SARS-COV_2021-01-27_01-53-11.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 27, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3osL24F
@tweetlelidy
@who
@pina2345
@goddeketal
@mvankerkhove
@k_g_andersen
@angie_rasmussen
@robinmonotti
@rossana38510044
@peter_voshol

Top hashtags:
#covid19
#derechoshumanos
#sepaque
#كورونا
#coronavirus
#covid_19
#pandemia

Description:
Description
The graph represents a network of 3,186 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 Wednesday, 27 January 2021 at 09:56 UTC.

The requested start date was Wednesday, 27 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 9-day, 11-hour, 20-minute period from Wednesday, 13 January 2021 at 02:22 UTC to Friday, 22 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 : 3186
Unique Edges : 2154
Edges With Duplicates : 2594
Total Edges : 4748
Number of Edge Types : 5
Retweet : 1100
MentionsInRetweet : 1544
Replies to : 582
Mentions : 1015
Tweet : 507
Self-Loops : 524
Reciprocated Vertex Pair Ratio : 0.0109701748371615
Reciprocated Edge Ratio : 0.0217022719565955
Connected Components : 737
Single-Vertex Connected Components : 262
Maximum Vertices in a Connected Component : 740
Maximum Edges in a Connected Component : 1720
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.396056
Graph Density : 0.000290616029114818
Modularity : 0.63763
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,186 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 Wednesday, 27 January 2021 at 09:56 UTC.

The requested start date was Wednesday, 27 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 9-day, 11-hour, 20-minute period from Wednesday, 13 January 2021 at 02:22 UTC to Friday, 22 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:
[19] https://www.google.com/maps/d/u/1/viewer?mid=1aQDSL2LwQFbuoCAg_nIOPK8D-LIJ5MYd&ll=25.736511557206818,-92.94514515219726&z=3
[7] https://www.sciencedirect.com/science/article/pii/S2352396420301432
[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://pubmed.ncbi.nlm.nih.gov/30830861/
[5] https://principia-scientific.com/?s=SARS+cov+2+have+not+been+isolated+in+Canada
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[5] https://pubmed.ncbi.nlm.nih.gov/22536382/
[4] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035421
[4] https://extra.globo.com/noticias/coronavirus/sarscov-2-ja-circulava-no-espirito-santo-em-dezembro-de-2019-indica-estudo-24835357.html?versao=amp

Top URLs in Tweet in G2:
[3] 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
[2] https://pubmed.ncbi.nlm.nih.gov/22536382/
[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://pubmed.ncbi.nlm.nih.gov/33368679/?dopt=Abstract
[1] https://eordaialive.com/suggested/kozani-ta-orfana-kroysmata-toy-sars-cov-2/162096/
[1] https://fai.informazione.it/A0A2FA40-4447-4DE8-9F66-4ADA54FC44C0/La-variante-del-virus-Sars-Cov-Inglese-e-Africana-indicazioni-del-Ministero-della-Salute-in-una-circolare
[1] http://waitrose.co.uk

Top URLs in Tweet in G3:
[7] https://www.sciencedirect.com/science/article/pii/S2352396420301432
[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/
[2] https://www.cebm.net/covid-19/what-is-the-role-of-t-cells-in-covid-19-infection-why-immunity-is-about-more-than-antibodies

Top URLs in Tweet in G4:
[1] https://www.smerconish.com/criticalthinking/the-imminence-of-the-next-sars-outbreak

Top URLs in Tweet in G6:
[2] https://twitter.com/EMDB_EMPIAR/status/1257608518347231233?s=20
[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://jvi.asm.org/content/early/2016/05/05/JVI.03079-15?versioned=true
[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/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41421-020-00210-9
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125587/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178114/#!po=64.2857

Top URLs in Tweet in G7:
[6] https://pubmed.ncbi.nlm.nih.gov/30830861/
[3] https://pubmed.ncbi.nlm.nih.gov/32789505/
[3] https://science.sciencemag.org/content/369/6499/77.abstract
[3] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035421
[2] https://twitter.com/amicocolorido/status/1352342941591859203
[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://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/

Top URLs in Tweet in G8:
[1] https://twitter.com/orla_hegarty/status/1351523678031392768
[1] https://twitter.com/trvrb/status/1349774271095062528
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126208/

Top URLs in Tweet in G10:
[19] https://www.google.com/maps/d/u/1/viewer?mid=1aQDSL2LwQFbuoCAg_nIOPK8D-LIJ5MYd&ll=25.736511557206818,-92.94514515219726&z=3
[1] https://recombinomics.co/topic/20547-uk-variant-b117-sars-cov-covid-sequence-nassau-co-new-york/?tab=comments#comment-35091
[1] https://recombinomics.co/topic/20547-uk-variant-b117-sars-cov-covid-sequence-nassau-co-new-york/?tab=comments#comment-35092
[1] https://recombinomics.co/topic/20549-uk-variant-b117-sars-cov-covid-sequence-from-teton-co-wyoming/?tab=comments#comment-35096
[1] https://recombinomics.co/topic/20549-uk-variant-b117-sars-cov-covid-sequence-from-teton-co-wyoming/?tab=comments#comment-35097
[1] https://recombinomics.co/topic/20596-three-uk-variant-b117-sars-cov-sequences-from-valencia-ecuador/?tab=comments#comment-35184
[1] https://recombinomics.co/topic/20596-three-uk-variant-b117-sars-cov-sequences-from-valencia-ecuador/?tab=comments#comment-35185
[1] https://recombinomics.co/topic/20596-three-uk-variant-b117-sars-cov-sequences-from-valencia-ecuador/?tab=comments#comment-35186
[1] https://recombinomics.co/topic/20596-three-uk-variant-b117-sars-cov-sequences-from-valencia-ecuador/?tab=comments#comment-35187
[1] https://www.youtube.com/watch?v=_9D8qmGjki8&feature=youtu.be


Top Domains
Top Domains in Tweet in Entire Graph:
[60] twitter.com
[58] sporadestv.com
[53] nih.gov
[22] google.com
[14] nature.com
[11] sciencedirect.com
[10] who.int
[10] com.mx
[9] principia-scientific.com
[8] cebm.net

Top Domains in Tweet in G2:
[58] sporadestv.com
[34] twitter.com
[8] nih.gov
[8] com.mx
[4] nature.com
[4] ert.gr
[4] medrxiv.org
[3] linkedin.com
[3] biorxiv.org
[3] usinenouvelle.com

Top Domains in Tweet in G3:
[8] cebm.net
[7] sciencedirect.com

Top Domains in Tweet in G4:
[1] smerconish.com

Top Domains in Tweet in G6:
[7] nih.gov
[4] twitter.com
[2] nature.com
[1] sciencedirect.com
[1] asm.org
[1] semanticscholar.org
[1] biorxiv.org
[1] rupress.org

Top Domains in Tweet in G7:
[10] nih.gov
[3] sciencemag.org
[3] plos.org
[2] twitter.com
[1] nature.com

Top Domains in Tweet in G8:
[2] twitter.com
[1] nih.gov

Top Domains in Tweet in G10:
[19] google.com
[8] recombinomics.co
[1] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[116] covid19
[20] derechoshumanos
[17] sepaque
[9] كورونا
[8] coronavirus
[8] covid_19
[6] pandemia
[6] staysafe
[6] maskup
[6] covidsecondwave



Top Hashtags in Tweet in G1:
[1] covidhoax2021

Top Hashtags in Tweet in G2:
[9] covid19
[7] covid_19
[6] especial
[4] covid
[2] coronavirus
[2] who
[2] sarscov2
[1] coronadiktatur
[1] weidel
[1] moma

Top Hashtags in Tweet in G5:
[101] covid19

Top Hashtags in Tweet in G7:
[1] ade

Top Words
Top Words in Tweet in Entire Graph:
[2404] sars
[2238] cov
[454] die
[406] virus
[384] dat
[368] kan
[366] toch
[365] zou
[364] tweetlelidy
[363] miljoen

Top Words in Tweet in G1:
[368] sars
[368] cov
[366] dat
[362] die
[362] toch
[361] tweetlelidy
[360] kan
[359] amerikaan
[359] heeft
[359] miljoen

Top Words in Tweet in G2:
[418] cov
[407] sars
[61] νέες
[61] μολύνσεις
[60] αναλυτικοί
[60] πίνακες
[59] virus
[44] covid
[35] 19
[27] mers

Top Words in Tweet in G3:
[23] sars
[22] cov
[14] more
[11] vaccines
[11] produce
[11] low
[11] titers
[11] neutralizing
[11] antibodies
[11] elicited

Top Words in Tweet in G4:
[107] sars
[105] going
[105] coronavirus
[105] excellent
[105] piece
[105] ryan_mac_phd
[105] rodneyrohde
[105] oft
[105] ignored
[105] topic

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:
[69] sars
[64] cov
[16] billybostickson
[13] virus
[8] spike
[8] bats
[7] found
[6] china
[6] bat
[6] protein

Top Words in Tweet in G7:
[47] finally
[47] jan
[47] 2020
[47] published
[47] paper
[47] laid
[47] theoretical
[47] grounds
[47] current
[47] pandemic

Top Words in Tweet in G8:
[21] sars
[20] cov
[6] sthembete
[5] cdc
[5] long
[5] ambiguous
[5] informational
[5] messages
[5] continue
[5] delivered

Top Words in Tweet in G9:
[4] sars
[4] cov
[2] random_dragon
[2] enricbernedaben
[2] yeyete2000
[2] ej_molina_c
[2] gemmspp
[2] andresj777
[2] jbarrios107
[2] nccarmon

Top Words in Tweet in G10:
[34] covid
[32] sars
[32] sequences
[31] cov
[29] uk
[28] variant
[25] map
[20] increases
[20] 108
[20] see

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2106] sars,cov
[362] amerikaan,heeft
[362] heeft,miljoen
[362] miljoen,dollar
[362] dollar,uitgeloofd
[362] uitgeloofd,diegene
[362] diegene,die
[362] die,kan
[362] kan,bewijzen
[362] bewijzen,dat

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

Top Word Pairs in Tweet in G2:
[390] sars,cov
[60] μολύνσεις,sars
[60] αναλυτικοί,πίνακες
[59] νέες,μολύνσεις
[58] cov,αναλυτικοί
[26] covid,19
[23] mers,cov
[20] cov,sars
[15] virus,sars
[13] cov,mers

Top Word Pairs in Tweet in G3:
[15] sars,cov
[11] vaccines,produce
[11] produce,low
[11] low,titers
[11] titers,neutralizing
[11] neutralizing,antibodies
[11] antibodies,elicited
[11] elicited,more
[10] more,severe
[10] severe,peritonitis

Top Word Pairs in Tweet in G4:
[105] going,sars
[105] sars,coronavirus
[105] coronavirus,excellent
[105] excellent,piece
[105] piece,ryan_mac_phd
[105] ryan_mac_phd,rodneyrohde
[105] rodneyrohde,oft
[105] oft,ignored
[105] ignored,topic
[104] angie_rasmussen,going

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:
[57] sars,cov
[5] cov,sars
[5] cov,found
[4] spike,protein
[4] mers,cov
[3] cov,backbone
[3] billybostickson,keverington
[3] sars,coronavirus
[3] cov,mers
[3] cov,virus

Top Word Pairs in Tweet in G7:
[47] finally,jan
[47] jan,2020
[47] 2020,published
[47] published,paper
[47] paper,laid
[47] laid,theoretical
[47] theoretical,grounds
[47] grounds,current
[47] current,pandemic
[47] pandemic,qpcr

Top Word Pairs in Tweet in G8:
[19] sars,cov
[5] cdc,long
[5] long,ambiguous
[5] ambiguous,informational
[5] informational,messages
[5] messages,continue
[5] continue,delivered
[5] delivered,population
[5] population,instead
[5] instead,assuming

Top Word Pairs in Tweet in G9:
[4] sars,cov
[2] random_dragon,enricbernedaben
[2] enricbernedaben,yeyete2000
[2] yeyete2000,ej_molina_c
[2] ej_molina_c,gemmspp
[2] gemmspp,andresj777
[2] andresj777,jbarrios107
[2] jbarrios107,nccarmon
[2] nccarmon,mariaje45669909
[2] 90,52

Top Word Pairs in Tweet in G10:
[31] sars,cov
[28] uk,variant
[28] variant,sars
[24] cov,covid
[20] covid,sequences
[20] sequences,increases
[20] increases,108
[20] 108,see
[20] see,detailed
[20] detailed,interactive

Top Replied-To
Top Replied-To in Entire Graph:
@mobilepunch
@billybostickson
@pedroarostegui
@karl_lauterbach
@heraldoes
@sayk0tik
@viniciusdesanti
@nytimes
@chris_f_carson
@twinkletrousers

Top Replied-To in G1:
@borgerpieter
@vester71

Top Replied-To in G3:
@sayk0tik
@scripteladora
@jaybny
@thommohr
@kimkdtx
@pyrnassius_rs
@thinkacttank
@gmk07
@pohutukawa
@saedries

Top Replied-To in G6:
@billybostickson
@babarlelephant
@twist1961
@oscardev3
@franciscodeasis
@alexberenson
@keverington
@__ice9
@antgduarte
@quay_dr

Top Replied-To in G7:
@rolandbakeriii
@daoyu15
@kantonaargau

Top Replied-To in G8:
@philanidbn
@alain_berset
@wybrenvanhaga
@dachte
@who
@dnailedit
@thomas_binder
@stefanoberto83

Top Replied-To in G9:
@random_dragon

Top Replied-To in G10:
@sm_news24
@jaygopalan1
@maskcapecod
@normannakanishi
@medialew
@screaminbeva
@humanistreport
@adrianabarton
@loishenrystone
@klstnews

Top Mentioned
Top Mentioned in Entire Graph:
@tweetlelidy
@angie_rasmussen
@ryan_mac_phd
@rodneyrohde
@morontafelix
@goddeketal
@robinmonotti
@who
@cndh
@efectococuyo

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

Top Mentioned in G2:
@mercedes_bouter
@aif0ns0
@cleaningtot
@fabienprevots
@oribadan

Top Mentioned in G3:
@andersjonita
@promihs
@e_neko_san
@resist_dwp
@ladyalmagreen
@priestsanity
@ladyjustice1312
@asifal19
@swisstechie
@adamg182006

Top Mentioned in G4:
@ryan_mac_phd
@rodneyrohde
@angie_rasmussen

Top Mentioned in G5:
@morontafelix

Top Mentioned in G6:
@billybostickson
@keverington
@harvard2h
@angie_rasmussen
@k_g_andersen
@mbeisen
@toad_spotted
@franciscodeasis
@rossana38510044
@daniel_bilar

Top Mentioned in G7:
@goddeketal
@thomas_binder
@kantonaargau
@xenosstinkriti
@daoyu15
@tweetlelidy
@general_qanah
@drhalat

Top Mentioned in G8:
@who
@cdc
@mimmitwit
@bigkoostar
@sthembete
@yvonnechakax2
@eu_partnerships
@un
@nepad_agency
@presidencyza

Top Mentioned in G9:
@enricbernedaben
@yeyete2000
@ej_molina_c
@gemmspp
@andresj777
@jbarrios107
@nccarmon
@mariaje45669909
@robinmonotti
@mochao33

Top Mentioned in G10:
@youtube
@_danielsinclair
@randyhillier
@fordnation
@canadianpm
@cdcgov
@lnfluensa
@jackiegoehner
@halbritz
@jeffreyrobb

Top Tweeters
Top Tweeters in Entire Graph:
@getvideobot
@inabster
@isaaranjuez
@gambiste1
@faby_nava77
@fainformazione
@germnhernndez16
@menabster
@lizditz
@merv59

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

Top Tweeters in G2:
@astratv1
@suaradotcom
@chasrmartin
@qzv00507
@kokikokiya
@fabienprevots
@diariomarcaoax
@sporadestv
@ceau_grouh
@e_megas

Top Tweeters in G3:
@ani
@doritmi
@_mamadeb
@yarlyomsborg
@theantiantizio1
@gmk07
@monstercoyliar
@thereal_truther
@scripteladora
@charbrevolution

Top Tweeters in G4:
@lizditz
@sandi_childs
@jjmplsmn
@pistach01
@carolforden
@lighthealing
@missjoy1965
@laurajmg
@autarkh
@grinningbame

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

Top Tweeters in G6:
@twist1961
@cernovich
@franceculture
@gmwatch
@daniel_bilar
@__ice9
@mbeisen
@harvard2h
@flavinkins
@_hoeman

Top Tweeters in G7:
@josmirek
@annika1021
@baizuobu
@rhabarbeer
@jokerfleck2
@ellecome222
@spasskultur
@summerbreeze712
@naomirwolf
@maryspes

Top Tweeters in G8:
@nordicgeo
@mimmitwit
@un
@pingue7
@gianlucac1
@thmanfredi
@who
@adgcovid
@bigkoostar
@sthembete

Top Tweeters in G9:
@pau_vega13
@ej_molina_c
@ferfrias
@random_dragon
@salvagarca4
@ipodmusica
@matimatarredona
@donvanchipotin
@tabbygraycat
@hondoncity

Top Tweeters in G10:
@abc13houston
@loishenrystone
@ninedee21
@_danielsinclair
@stopagitprop
@lnfluensa
@youtube
@cdcgov
@drgurdeepparhar
@humanistreport


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