SARS-COV, Twitter, 1/17/2021 4:13:50 PM, 245847


FAQ | Problem?

SARS-COV_2021-01-17_01-45-02.xlsx
SARS-COV_2021-01-17_01-45-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 17, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/38RPrtJ
@lennert_vd_boom
@michaelyeadon3
@markready47
@nicholsonbaker8
@flavinkins
@drhoenderkamp
@oneacre
@miriwood
@breesanna
@angie_rasmussen

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

Description:
Description
The graph represents a network of 3,977 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 Sunday, 17 January 2021 at 09:49 UTC.

The requested start date was Sunday, 17 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 12-day, 12-hour, 44-minute period from Sunday, 03 January 2021 at 01:04 UTC to Friday, 15 January 2021 at 13:48 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 : 3977
Unique Edges : 2907
Edges With Duplicates : 3319
Total Edges : 6226
Number of Edge Types : 5
Retweet : 1292
MentionsInRetweet : 1945
Replies to : 887
Tweet : 693
Mentions : 1409
Self-Loops : 741
Reciprocated Vertex Pair Ratio : 0.00985352862849534
Reciprocated Edge Ratio : 0.0195147679324895
Connected Components : 925
Single-Vertex Connected Components : 322
Maximum Vertices in a Connected Component : 1071
Maximum Edges in a Connected Component : 2411
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.001478
Graph Density : 0.000239809488057336
Modularity : 0.627919
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,977 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 Sunday, 17 January 2021 at 09:49 UTC.

The requested start date was Sunday, 17 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 12-day, 12-hour, 44-minute period from Sunday, 03 January 2021 at 01:04 UTC to Friday, 15 January 2021 at 13:48 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
[4] https://www.bbc.com/mundo/noticias-55517560
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/pdf/pone.0035421.pdf
[2] https://pubmed.ncbi.nlm.nih.gov/22536382/
[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://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanmic%2Farticle%2FPIIS2666-5247%2820%2930172-5%2Ffulltext%3Ffbclid%3DIwAR0gf9uV9zEtsgts_etxm2jwmyOQN9M9TbKUxqZ_t7_cykvIcYrz9Xk9MPQ&rc=0
[1] https://www.youtube.com/watch?v=IJOgXprtliI&utm_source=dlvr.it&utm_medium=twitter

[1] https://twitter.com/richardursomd/status/1346300707406815232

Top URLs in Tweet in G1:
[2] https://pubmed.ncbi.nlm.nih.gov/22536382/
[1] https://www.imparcialrd.do/2021/01/msp-reporta-366-casos-nuevos-del-virus.html?m=1
[1] https://www.teleradioamerica.com/2021/01/reportan-366-casos-nuevos-del-virus-sars-cov-en-ultimas-24-horas/
[1] https://www.cdc.gov/coronavirus/types.html
[1] https://twitter.com/Roberto62115672/status/1345774637704212483
[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

Top URLs in Tweet in G2:
[1] https://www.medicalnewstoday.com/articles/what-explains-africas-successful-response-to-the-covid-19-pandemic#Collaboration-at-the-regional-level

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/
[1] https://twitter.com/GhostRider_98/status/1345842416574672896
[1] https://newtube.app/user/johndohh/9YfVi8O
[1] http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=7776521&OS=7776521&RS=7776521

Top URLs in Tweet in G7:
[1] https://science.sciencemag.org/content/368/6491/630

Top URLs in Tweet in G10:
[1] https://twitter.com/richardursomd/status/1346300707406815232
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/pdf/pone.0035421.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[87] twitter.com
[79] sporadestv.com
[66] nih.gov
[46] google.com
[20] nature.com
[15] maghreb-post.de
[14] free.fr
[12] biorxiv.org
[11] elsevierhealth.com
[9] sciencedirect.com

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

Top Domains in Tweet in G2:
[7] nih.gov
[4] sciencedirect.com
[3] elsevierhealth.com
[3] asm.org
[3] tandfonline.com
[2] nature.com
[2] biorxiv.org
[2] elsevierpure.com
[2] jci.org
[2] plos.org

Top Domains in Tweet in G3:
[3] nih.gov
[2] sciencedaily.com
[1] elsevierhealth.com

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

Top Domains in Tweet in G5:
[42] google.com
[1] twitter.com
[1] jkms.org

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

Top Domains in Tweet in G7:
[6] nature.com
[4] twitter.com
[2] nih.gov
[1] researchgate.net
[1] pepijnvanerp.nl
[1] clinicaltrials.gov
[1] cambridge.org
[1] sciencemag.org

Top Domains in Tweet in G8:
[7] who.int

Top Domains in Tweet in G9:
[5] cdc.gov
[2] twitter.com

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

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



Top Hashtags in Tweet in G1:
[12] covid19
[5] coronavirus
[2] sarscov2
[2] covid
[2] smyt
[2] thewiderwiserview
[1] misiones
[1] dap
[1] rodaviva
[1] covid19papers

Top Hashtags in Tweet in G4:
[4] covid19
[2] orf8
[2] sarscov2
[1] orf8_deletion
[1] covid
[1] bioweapon
[1] covidpatent
[1] fauci
[1] corruption
[1] lockdowns

Top Hashtags in Tweet in G7:
[4] receptorbindingdomains
[4] sarscov2
[1] 2020_recapapril

Top Hashtags in Tweet in G8:
[1] nih

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

Top Hashtags in Tweet in G10:
[1] pcrtest
[1] goodbye

Top Words
Top Words in Tweet in Entire Graph:
[3246] sars
[3060] cov
[829] î
[508] virus
[465] coronavirus
[389] covid
[237] 19
[203] mers
[146] robinmonotti
[137] mã

Top Words in Tweet in G1:
[706] î
[552] cov
[551] sars
[76] virus
[54] νέες
[54] μολύνσεις
[54] αναλυτικοί
[54] πίνακες
[45] covid
[45] îºî

Top Words in Tweet in G2:
[269] sars
[191] cov
[103] angie_rasmussen
[98] coronavirus
[90] going
[90] excellent
[90] piece
[90] ryan_mac_phd
[90] rodneyrohde
[90] oft

Top Words in Tweet in G3:
[184] sars
[165] cov
[136] robinmonotti
[84] sequence
[78] analysis
[73] identity
[73] 90
[73] 52
[70] protein
[40] showed

Top Words in Tweet in G4:
[60] sars
[38] cov
[15] isolated
[14] virus
[12] coronavirus
[12] never
[12] vaccines
[10] michaelyeadon3
[10] 29
[10] immunization

Top Words in Tweet in G5:
[142] sars
[103] cov
[85] coronavirus
[84] pirbright
[46] covid
[46] 19
[42] patent
[42] gamma
[42] affects
[42] chickens

Top Words in Tweet in G6:
[86] sars
[81] cov
[66] g05vi
[66] virus
[46] diferentes
[41] cepa
[30] cepas
[30] especie
[28] linaje
[26] miembro

Top Words in Tweet in G7:
[58] sars
[47] cov
[14] bat
[9] human
[8] erictopol
[8] virus
[6] shi
[6] baric
[6] paper
[6] œa

Top Words in Tweet in G8:
[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 G9:
[30] cov
[29] sars
[10] cell
[8] 17
[8] years
[7] cdcgov
[5] exists
[5] gt
[5] study
[5] time

Top Words in Tweet in G10:
[50] covid
[50] ago
[49] janicew78256134
[48] boris
[48] hosp
[48] admissions
[48] 33
[48] deaths
[48] 20
[48] last

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2834] sars,cov
[576] î,î
[214] cov,sars
[213] covid,19
[169] mers,cov
[106] sars,coronavirus
[106] cov,mers
[90] going,sars
[90] coronavirus,excellent
[90] excellent,piece

Top Word Pairs in Tweet in G1:
[516] sars,cov
[495] î,î
[54] αναλυτικοί,πίνακες
[52] νέες,μολύνσεις
[51] μολύνσεις,sars
[49] cov,αναλυτικοί
[45] î,îºî
[36] î,îµï
[36] îµï,î
[35] îºî,î

Top Word Pairs in Tweet in G2:
[167] sars,cov
[91] sars,coronavirus
[90] going,sars
[90] coronavirus,excellent
[90] excellent,piece
[90] piece,ryan_mac_phd
[90] ryan_mac_phd,rodneyrohde
[90] rodneyrohde,oft
[90] oft,ignored
[90] ignored,topic

Top Word Pairs in Tweet in G3:
[162] sars,cov
[73] 90,52
[68] cov,protein
[40] robinmonotti,sars
[39] sequence,analysis
[39] analysis,showed
[39] showed,90
[39] 52,identity
[39] identity,sars
[39] cov,molecular

Top Word Pairs in Tweet in G4:
[38] 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:
[100] sars,cov
[45] covid,19
[42] gamma,coronavirus
[42] coronavirus,affects
[42] affects,chickens
[42] chickens,beta
[42] beta,coronavirus
[42] coronavirus,sars
[42] cov,causes
[42] causes,covid

Top Word Pairs in Tweet in G6:
[80] sars,cov
[27] cov,sars
[26] cepa,miembro
[26] miembro,especie
[25] especie,virus
[23] cov,cepas
[22] virus,propiedades
[22] propiedades,sustancialmente
[22] sustancialmente,diferentes
[22] diferentes,probablemente

Top Word Pairs in Tweet in G7:
[46] sars,cov
[6] œa,sars
[6] sars,cluster
[6] cluster,circulating
[6] circulating,bat
[6] bat,coronaviruses
[6] coronaviruses,shows
[6] shows,potential
[6] potential,human
[6] human,emergenceâ

Top Word Pairs in Tweet in G8:
[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 G9:
[29] sars,cov
[8] 17,years
[6] cov,cell
[5] gt,17
[4] drhoenderkamp,sars
[4] cell,gt
[4] time,start
[4] start,quarantine
[4] quarantine,sars
[3] cell,response

Top Word Pairs in Tweet in G10:
[48] boris,hosp
[48] hosp,admissions
[48] admissions,33
[48] 33,deaths
[48] deaths,20
[48] 20,last
[48] last,week
[48] week,covid
[48] covid,jab
[48] jab,roll

Top Replied-To
Top Replied-To in Entire Graph:
@ayjchan
@harvard2h
@oceanimundi
@jasonptodd
@angie_rasmussen
@billybostickson
@lximenezfyvie
@kenpcg
@ymcamomfmm
@lisa_iannattone

Top Replied-To in G2:
@ayjchan
@harvard2h
@angie_rasmussen
@ymcamomfmm
@kenpcg
@billybostickson
@lisa_iannattone
@monarahalkar
@sharon_forsyth
@theseeker268

Top Replied-To in G3:
@robinmonotti
@dusttrades
@chubbylysosome

Top Replied-To in G4:
@ballouxfrancois
@chris_f_carson
@michaelyeadon3
@knaeckebrot2
@raygran68753429
@susanc66
@tielleteakag
@freemen_opm
@ksorbs
@reptoid_hunter

Top Replied-To in G5:
@tj0055
@britsincancun
@oldmanlogan2008
@annadebuisseret
@bbcfrch
@joebiden
@mydrunkenson1
@paulgar38504577
@mrgoldstein7
@4lph4thor

Top Replied-To in G6:
@oceanimundi
@lximenezfyvie
@g05vi
@rkarmark
@victorqq
@marcelasaebl
@multiformato
@misscromatina
@jorgegzlopez
@jccharc

Top Replied-To in G7:
@erictopol
@na_nanav
@drtoddlee
@waveydavey32
@mostlyproblema1
@nuijten_rob
@readyinafewdayz
@qu137157
@oscardev3
@macroliter

Top Replied-To in G8:
@brunoeml
@anacarolpecanha
@sergiobrisola
@voebruno
@vitorma14766173
@maiconsant15
@133_miguel
@monteiroamands
@jojopancada
@miltonjung

Top Replied-To in G9:
@eyebytedc
@winston45448699
@adycross725
@thelongergame
@apb_____
@malmphegor
@thorpe7777
@byronw70
@lucasarcady
@ashtfe

Top Replied-To in G10:
@seahaze55
@patrici37505931
@inaliberata1
@dl7010
@jonnyseale1975
@thewibblemovem1
@richardursomd
@janicew78256134

Top Mentioned
Top Mentioned in Entire Graph:
@robinmonotti
@angie_rasmussen
@ryan_mac_phd
@rodneyrohde
@g05vi
@iangulochacon
@minesoh
@janicew78256134
@thomas_binder
@kantonaargau

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

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

Top Mentioned in G3:
@robinmonotti
@disorientated21
@politicsweb
@romancabanac
@rach_driver

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

Top Mentioned in G5:
@knowurenemy3
@realdonaldtrump
@jobutterfly888
@pipsinks
@gatesfoundation
@cdcgov
@pirbright_inst
@bwfund
@defragovuk
@rogerstrevor1

Top Mentioned in G6:
@g05vi
@stratcons
@arambaut
@lximenezfyvie
@gisaid
@ecdc_eu
@nature
@marcelasaebl
@who
@trvrb

Top Mentioned in G7:
@erictopol
@peterdaszak
@__ice9
@toad_spotted
@mmw_lmw
@kakape
@betswrites
@niaidnews
@hongying_li
@usaidgh

Top Mentioned in G8:
@drsimonegold
@ailtonbenedito
@raoult_didier
@nise_dra
@folha
@rconstantino
@jairbolsonaro
@minsaude
@breesanna
@slvasco

Top Mentioned in G9:
@cdcgov
@drhoenderkamp
@nih
@nhsconfed
@randpaul
@davidhoban8
@neilclark66
@markready47
@carlosdelrio7
@rbiblebeliever

Top Mentioned in G10:
@janicew78256134
@youtube
@pcrclaims
@tuneoutandlook
@heaneyp
@matthancock
@boblister_poole
@thecultie
@inaliberata1
@pfizer

Top Tweeters
Top Tweeters in Entire Graph:
@lasillarota
@paoloigna1
@amaia_haikazti
@inabster
@fainformazione
@repubblica
@menabster
@thehill
@lizditz
@navroopsingh_

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

Top Tweeters in G2:
@lizditz
@sandi_childs
@jjmplsmn
@pistach01
@lighthealing
@stillwaters777
@nymag
@stlentner
@laurajmg
@autarkh

Top Tweeters in G3:
@princessofwails
@sanlovita
@jackcolleton
@ban_animal_test
@annika1021
@roodgridance
@turnermx
@drkassandrapari
@nellsventura
@jokerfleck2

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

Top Tweeters in G5:
@leahr77
@newscomauhq
@rakiko_hime
@jansensadriaan
@sierrawhiskee
@oldmanlogan2008
@surveyorx
@ezralevant
@conserve_life
@souledoutworld

Top Tweeters in G6:
@jrm2406
@econokafka
@rgrustrian
@jccharc
@juanomarfierro
@nordicgeo
@mackayim
@stratcons
@aichoron
@gomezvives

Top Tweeters in G7:
@paulpaul49
@loonylaura
@gdorn1
@nunl
@schneiderleonid
@joa_becker
@refdag
@laurie_garrett
@infectiousdz
@__ice9

Top Tweeters in G8:
@huffpost
@folha
@roxmo
@ordemprogresso7
@minsaude
@iaragb
@adraeng
@dramonicagiusti
@ailtonbenedito
@1995juliacs

Top Tweeters in G9:
@bettycjung
@cernovich
@thereal_truther
@janekin24
@hcashny
@mlilleker
@markready47
@toetterbeck
@sepsisuk
@francis_hoar

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


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.