SARS-COV, Twitter, 1/22/2021 5:40:24 PM, 246239


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SARS-COV_2021-01-22_02-35-37.xlsx
SARS-COV_2021-01-22_02-35-37.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 22, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3iDE63v
@tweetlelidy
@billybostickson
@ale_battini
@robinmonotti
@rossana38510044
@dirku51
@angie_rasmussen
@mvankerkhove
@goddeketal
@k_g_andersen

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

Description:
Description
The graph represents a network of 4,080 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 Friday, 22 January 2021 at 10:40 UTC.

The requested start date was Friday, 22 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, 19-minute period from Friday, 08 January 2021 at 01:35 UTC to Thursday, 21 January 2021 at 13:55 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 : 4080
Unique Edges : 2753
Edges With Duplicates : 3340
Total Edges : 6093
Number of Edge Types : 5
Retweet : 1388
MentionsInRetweet : 1893
Tweet : 697
Replies to : 803
Mentions : 1312
Self-Loops : 719
Reciprocated Vertex Pair Ratio : 0.00983069361004915
Reciprocated Edge Ratio : 0.0194699837750135
Connected Components : 955
Single-Vertex Connected Components : 354
Maximum Vertices in a Connected Component : 912
Maximum Edges in a Connected Component : 2119
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.329263
Graph Density : 0.00022220459647453
Modularity : 0.630427
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,080 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 Friday, 22 January 2021 at 10:40 UTC.

The requested start date was Friday, 22 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, 19-minute period from Friday, 08 January 2021 at 01:35 UTC to Thursday, 21 January 2021 at 13:55 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
[9] https://patents.google.com/patent/US10130701B2/en
[7] https://www.cebm.net/covid-19/what-is-the-role-of-t-cells-in-covid-19-infection-why-immunity-is-about-more-than-antibodies/
[7] https://pubmed.ncbi.nlm.nih.gov/22536382/
[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.sciencedirect.com/science/article/pii/S2352396420301432
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[4] https://extra.globo.com/noticias/coronavirus/sarscov-2-ja-circulava-no-espirito-santo-em-dezembro-de-2019-indica-estudo-24835357.html?versao=amp
[4] https://pubmed.ncbi.nlm.nih.gov/26552008/
[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

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.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://twitter.com/BalanceTonPost/status/1347211894583480320
[1] https://twitter.com/Cooperativa/status/1347503236413063170

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

Top URLs in Tweet in G5:
[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://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/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258702/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457931/
[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

Top URLs in Tweet in G6:
[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:
[7] 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
[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 G8:
[2] https://www.nature.com/articles/s41598-018-33487-8
[1] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0035421
[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 G9:
[1] https://twitter.com/orla_hegarty/status/1351523678031392768
[1] https://twitter.com/trvrb/status/1349774271095062528
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2838128/#!po=30.1724
[1] https://twitter.com/vafaomid/status/1277914575187345408

Top URLs in Tweet in G10:
[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 Domains
Top Domains in Tweet in Entire Graph:
[83] sporadestv.com
[80] twitter.com
[52] nih.gov
[31] google.com
[16] nature.com
[13] com.mx
[13] maghreb-post.de
[9] who.int
[9] cebm.net
[9] sciencedirect.com

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

Top Domains in Tweet in G2:
[83] sporadestv.com
[43] twitter.com
[13] nih.gov
[11] com.mx
[4] go.jp
[4] biorxiv.org
[4] nature.com
[4] misterio.info
[4] ert.gr
[4] medrxiv.org

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

Top Domains in Tweet in G5:
[9] nih.gov
[7] twitter.com
[2] nature.com
[1] elsevierhealth.com
[1] semanticscholar.org
[1] asm.org
[1] sciencedirect.com
[1] doc88.com
[1] biorxiv.org
[1] rupress.org

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

Top Domains in Tweet in G7:
[9] cebm.net
[6] sciencedirect.com

Top Domains in Tweet in G8:
[2] nature.com
[1] plos.org
[1] elsevierhealth.com

Top Domains in Tweet in G9:
[3] twitter.com
[1] nih.gov

Top Domains in Tweet in G10:
[1] com.ar
[1] bbc.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[119] covid19
[20] derechoshumanos
[17] sepaque
[13] coronavirus
[11] كورونا
[11] covid_19
[9] covid
[6] staysafe
[6] maskup
[6] covidsecondwave



Top Hashtags in Tweet in G1:
[1] covidhoax2021

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

Top Hashtags in Tweet in G4:
[101] covid19

Top Hashtags in Tweet in G8:
[2] orf8
[1] orf8_deletion

Top Words
Top Words in Tweet in Entire Graph:
[3291] sars
[3144] cov
[535] virus
[487] die
[404] dat
[375] kan
[369] coronavirus
[359] zou
[359] toch
[358] tweetlelidy

Top Words in Tweet in G1:
[383] dat
[370] sars
[370] cov
[362] kan
[357] die
[357] toch
[356] tweetlelidy
[354] amerikaan
[354] heeft
[354] miljoen

Top Words in Tweet in G2:
[611] cov
[593] sars
[91] virus
[84] αναλυτικοί
[84] πίνακες
[83] νέες
[83] μολύνσεις
[62] covid
[50] 19
[45] mers

Top Words in Tweet in G3:
[109] 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 G4:
[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 G5:
[118] cov
[117] sars
[24] billybostickson
[16] virus
[10] spike
[10] mers
[10] bat
[10] rbm
[9] human
[8] same

Top Words in Tweet in G6:
[185] sars
[169] cov
[120] robinmonotti
[95] sequence
[90] analysis
[85] 90
[85] 52
[85] identity
[80] protein
[46] showed

Top Words in Tweet in G7:
[25] sars
[22] cov
[13] vaccines
[13] more
[11] another
[11] study
[11] showed
[11] cross
[11] reactive
[11] memory

Top Words in Tweet in G8:
[45] sars
[39] cov
[11] juliahb1
[10] 29
[9] virus
[9] deletion
[8] clarecraigpath
[8] human
[7] covid
[6] orf8

Top Words in Tweet in G9:
[25] sars
[25] cov
[6] virus
[6] population
[6] sthembete
[6] trvrb
[5] cdc
[5] long
[5] ambiguous
[5] informational

Top Words in Tweet in G10:
[63] cuba
[63] sars
[63] cov
[62] nasalferón
[62] gotas
[62] nasales
[62] enfrentar
[62] coronavirus
[62] evita
[62] replique

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2933] sars,cov
[356] amerikaan,heeft
[356] heeft,miljoen
[356] miljoen,dollar
[356] dollar,uitgeloofd
[356] uitgeloofd,diegene
[356] diegene,die
[356] die,kan
[356] kan,bewijzen
[356] bewijzen,dat

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

Top Word Pairs in Tweet in G2:
[561] sars,cov
[84] αναλυτικοί,πίνακες
[81] νέες,μολύνσεις
[79] μολύνσεις,sars
[77] cov,αναλυτικοί
[41] mers,cov
[38] covid,19
[29] virus,sars
[27] cov,sars
[26] cov,mers

Top Word Pairs in Tweet in G3:
[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 G4:
[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 G5:
[103] sars,cov
[7] mers,cov
[6] spike,protein
[6] cov,sars
[6] cov,backbone
[5] sl,cov
[5] cov,mers
[5] cov,found
[4] cov,sl
[3] 12,idle

Top Word Pairs in Tweet in G6:
[167] sars,cov
[85] 90,52
[80] cov,protein
[47] 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:
[16] sars,cov
[11] another,study
[11] study,showed
[11] showed,cross
[11] cross,reactive
[11] reactive,memory
[11] memory,cells
[11] cells,patients
[10] patients,recovered
[10] vaccines,produce

Top Word Pairs in Tweet in G8:
[38] sars,cov
[6] 29,nt
[4] covid,19
[4] nt,deletion
[4] deletion,sars
[4] human,human
[4] human,transmission
[4] 29,nucleotide
[4] nucleotide,deletion
[3] immune,system

Top Word Pairs in Tweet in G9:
[23] 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 G10:
[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 Replied-To
Top Replied-To in Entire Graph:
@billybostickson
@pedroarostegui
@mobilepunch
@theseeker268
@juliahb1
@karl_lauterbach
@heraldoes
@ballouxfrancois
@chicomando1
@chris_f_carson

Top Replied-To in G1:
@borgerpieter
@vester71

Top Replied-To in G3:
@cathdea
@lisa_iannattone

Top Replied-To in G5:
@billybostickson
@theseeker268
@__ice9
@babarlelephant
@twist1961
@fffeeerrr68
@klausenhauser
@oscardev3
@franciscodeasis
@alexberenson

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

Top Replied-To in G7:
@sayk0tik
@mcfunny
@laszlop74
@jaybny
@thommohr
@kimkdtx
@pyrnassius_rs
@thinkacttank
@gmk07
@pohutukawa

Top Replied-To in G8:
@juliahb1
@ballouxfrancois
@twinkletrousers
@andylumm
@shaynekrige
@marksharon_dp
@anne_other1
@mlevitt_np2013
@sharpiedj
@angelovalidiya

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

Top Replied-To in G10:
@tarentatuy

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

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

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

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:
@morontafelix

Top Mentioned in G5:
@billybostickson
@harvard2h
@keverington
@angie_rasmussen
@k_g_andersen
@mbeisen
@toad_spotted
@__ice9
@martinfierro769
@flavinkins

Top Mentioned in G6:
@robinmonotti
@goddeketal
@tweetlelidy
@billybostickson
@melpetra4
@thekanehb
@blithererm
@nhsuk
@mancunianmedic

Top Mentioned in G7:
@andersjonita
@promihs
@gmk07
@thinkacttank
@cyclesnotcars
@zohrateke
@cyrilramaphosa
@drzwelimkhize
@cassieluvr
@daintycatboy

Top Mentioned in G8:
@clarecraigpath
@juliahb1
@michaelyeadon3
@shomburg
@profvrr
@adam_creighton
@thomas_wilckens
@jengleruk
@emmakennytv
@fatemperor

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

Top Mentioned in G10:
@iangulochacon
@pagina12

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

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

Top Tweeters in G2:
@astratv1
@inewsgr
@chasrmartin
@qzv00507
@questoyquelotro
@kokikokiya
@fabienprevots
@diariomarcaoax
@sporadestv
@tonytony0250

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

Top Tweeters in G4:
@viralvideovlogs
@imapax
@matthewcobb
@pulpincok
@vivienblack
@pauxhis
@morontafelix
@hectorhernando8
@erickrevilla
@mikiescape

Top Tweeters in G5:
@twist1961
@franceculture
@gmwatch
@whereisdaz
@wevotedtoleave
@gaellem15
@daniel_bilar
@ecoff123
@__ice9
@mbeisen

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

Top Tweeters in G7:
@ani
@doritmi
@_mamadeb
@gmk07
@kombuchababy
@monstercoyliar
@thereal_truther
@charbrevolution
@frankdelia7
@mcfunny

Top Tweeters in G8:
@juliahb1
@fatemperor
@jimeekay
@emmakennytv
@marksharon_dp
@thomas_wilckens
@susan_welch7
@breezergalway
@nathansldennis
@nhsmillion

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

Top Tweeters in G10:
@juang44
@carlongart
@prof_yurbe
@aponwaog
@artecanal4
@joseant72838920
@elchamocandanga
@tarentatuy
@ramedugonzalez
@251063andy


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