SARS-NCOV, Twitter, 3/26/2020 9:03:51 PM, 223785


FAQ | Problem?

SARS-NCOV_2020-03-26_01-46-38.xlsx
SARS-NCOV_2020-03-26_01-46-38.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 26, 2020
Short Description:
SARS-NCOV via NodeXL https://bit.ly/2vRIRT7
@salutcat
@nih
@epidemixs
@laurelcoons
@sjsantaeugenia
@damkyan_omega
@sarscov2science
@magdaxyz
@debunkeretoiles
@rosario_strano

Top hashtags:
#coronavirus
#covid19
#virus
#disease
#canalsalut
#sars
#ncov
#sars_cov_2

Description:
Description
The graph represents a network of 5,624 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 08:48 UTC.

The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 6-day, 11-hour, 46-minute period from Wednesday, 18 March 2020 at 22:41 UTC to Wednesday, 25 March 2020 at 10:28 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 : 5624
Unique Edges : 5754
Edges With Duplicates : 646
Total Edges : 6400
Number of Edge Types : 4
MentionsInRetweet : 4194
Tweet : 841
Replies to : 485
Mentions : 880
Self-Loops : 841
Reciprocated Vertex Pair Ratio : 0.00601729973674314
Reciprocated Edge Ratio : 0.0119626168224299
Connected Components : 923
Single-Vertex Connected Components : 395
Maximum Vertices in a Connected Component : 1321
Maximum Edges in a Connected Component : 1547
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.07665
Graph Density : 0.000169176636598972
Modularity : 0.839266
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,624 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 08:48 UTC.

The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 6-day, 11-hour, 46-minute period from Wednesday, 18 March 2020 at 22:41 UTC to Wednesday, 25 March 2020 at 10:28 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-NCOV
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:
[312] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[69] https://www.bundesgesundheitsministerium.de/coronavirus.html
[37] https://www.epa.gov/pesticide-registration/list-n-disinfectants-use-against-sars-cov-2
[30] https://nextstrain.org/ncov
[27] OR
[19] https://www.lci.fr/international/carte-monde-coronavirus-sante-oms-epidemie-pays-les-plus-touches-deces-contaminations-pandemie-covid-19-sars-ncov-2-universite-john-hopkins-2143601.html?utm_medium=Social&utm_source=Twitter#Echobox=1585064681
[19] https://www.sciencedirect.com/quicksearches/coronavirus
[18] https://www.lci.fr/international/carte-monde-coronavirus-les-pays-les-plus-touches-deces-contaminations-guerisons-par-la-pandemie-de-covid-19-sars-ncov-2-universite-john-hopkins-2143601.html?utm_medium=Social&utm_source=Twitter#Echobox=1584887586
[17] https://www.infektionsschutz.de/coronavirus-2019-ncov.html
[15] https://www.elsevier.com/connect/coronavirus-information-center

Top URLs in Tweet in G1:
[252] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[3] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/material-divulgatiu/
[3] https://hospital.vallhebron.com/ca/malalties/coronavirus-sars-cov-2
[1] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-diabetis.pdf
[1] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-protocol-primaria-professionals-A4.pdf
[1] https://t.me/salutcat
[1] https://twitter.com/salutcat/status/1240697062124998656

Top URLs in Tweet in G2:
[3] https://www.sfmu.org/fr/vie-professionnelle/outils-professionnels/alertes-sanitaires/nouveau-coronavirus-2019-ncov-different-des-virus-sars-cov-et-mers-cov-/ale_id/196
[1] https://www.sfmu.org/fr/vie-professionnelle/outils-professionnels/alertes-sanitaires/nouveau-coronavirus-2019-ncov-different-des-virus-sars-cov-et-mers-cov-/ale_id/196#biblio_2019-ncov
[1] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov

Top URLs in Tweet in G3:
[14] https://nextstrain.org/ncov
[7] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[6] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-diabetis.pdf
[5] https://mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/situacionActual.htm
[4] https://www.lci.fr/international/carte-monde-coronavirus-les-pays-les-plus-touches-par-la-pandemie-de-covid-19-sars-ncov-2-universite-john-hopkins-2143601.html
[4] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/material-divulgatiu/
[4] https://www.sciencedirect.com/search/advanced?qs=%22COVID-19%22%20OR%20Coronavirus%20OR%20%22Corona%20virus%22%20OR%20%222019-nCoV%22%20OR%20%22SARS-CoV%22%20OR%20%22MERS-CoV%22%20OR%20%E2%80%9CSevere%20Acute%20Respiratory%20Syndrome%E2%80%9D%20OR%20%E2%80%9CMiddle%20East%20Respiratory%20Syndrome%E2%80%9D&show=100&ent=true
[4] https://gl-w.com/2020/02/16/2019-ncov-coronavirus-where-did-it-come-from-what-might-happen-will-it-effect-you/
[4] https://chatterboxpodcasts.wordpress.com/
[3] https://science.sciencemag.org/content/367/6483/1260

Top URLs in Tweet in G5:
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/summary.html
[4] https://www.biorxiv.org/content/10.1101/2020.02.07.937862v1
[2] https://thehill.com/homenews/administration/488502-photo-of-trumps-notes-shows-chinese-virus-written-over-coronavirus
[2] https://coronavirus.gov/
[2] https://www.who.int/blueprint/priority-diseases/key-action/novel-coronavirus-landscape-ncov.pdf?ua=1
[2] https://engineering.jhu.edu/case/faculty/lauren-gardner/
[2] https://nextstrain.org/ncov
[2] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
[2] https://www.rosminzdrav.ru/ministry/61/15
[1] http://bit.ly/2U0II9K

Top URLs in Tweet in G6:
[1] https://jc.ne10.uol.com.br/mundo/2020/03/5602858-hidroxicloroquina-seria-eficiente-no-combate-ao-coronavirus--apontam-cientistas-chineses.html

Top URLs in Tweet in G8:
[2] https://nextstrain.org/ncov

Top URLs in Tweet in G9:
[4] https://www.who.int/docs/default-source/coronaviruse/protocol-v2-1.pdf?sfvrsn=a9ef618c_2
[4] https://www.cdc.gov/coronavirus/2019-ncov/downloads/rt-pcr-panel-for-detection-instructions.pdf
[2] https://www.asbmb.org/asbmb-today/science/031720/what-makes-remdesivir-a-promising-antiviral
[1] https://www.politico.com/news/2020/03/06/coronavirus-testing-failure-123166
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/index.html
[1] https://www.cdc.gov/coronavirus/2019-nCoV/lab/guidelines-clinical-specimens.html
[1] https://www.cdc.gov/coronavirus/2019-nCoV/lab/lab-biosafety-guidelines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/biosafety-faqs.html
[1] https://www.epa.gov/pesticide-registration/list-n-disinfectants-use-against-sars-cov-2
[1] https://www.sinobiological.com/ncp-cov-2019-ncov-spike-protein-rbd-his-tag-pr-40592-v08b.html

Top URLs in Tweet in G10:
[1] https://www.brief19.com/about
[1] https://twitter.com/brief_19/status/1241589158759587841
[1] https://www.gov.uk/government/publications/covid-19-guidance-on-social-distancing-and-for-vulnerable-people/guidance-on-social-distancing-for-everyone-in-the-uk-and-protecting-older-people-and-vulnerable-adults
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.ejradiology.com%2Farticle%2FS0720-048X%2820%2930145-5%2Ffulltext&rc=0
[1] https://www.brief19.com/
[1] https://twitter.com/Brief_19/status/1241944262452936704
[1] https://twitter.com/brief_19/status/1241216392738869248
[1] https://twitter.com/distorsun/status/1241894566963433473

Top Domains
Top Domains in Tweet in Entire Graph:
[365] gencat.cat
[124] cdc.gov
[87] lci.fr
[86] twitter.com
[69] bundesgesundheitsministerium.de
[55] nih.gov
[46] nextstrain.org
[45] sciencedirect.com
[39] epa.gov
[26] dlvr.it

Top Domains in Tweet in G1:
[257] gencat.cat
[3] vallhebron.com
[1] t.me
[1] twitter.com

Top Domains in Tweet in G2:
[4] sfmu.org
[1] who.int

Top Domains in Tweet in G3:
[51] cdc.gov
[41] twitter.com
[26] dlvr.it
[23] behecare.com
[21] nextstrain.org
[18] gencat.cat
[16] nih.gov
[13] gob.es
[11] lci.fr
[7] wordpress.com

Top Domains in Tweet in G5:
[12] cdc.gov
[6] twitter.com
[5] who.int
[4] biorxiv.org
[3] nih.gov
[3] jhu.edu
[3] nextstrain.org
[3] rosminzdrav.ru
[2] sciencedirect.com
[2] giphy.com

Top Domains in Tweet in G6:
[1] com.br

Top Domains in Tweet in G8:
[2] nextstrain.org

Top Domains in Tweet in G9:
[8] cdc.gov
[4] who.int
[2] asbmb.org
[1] politico.com
[1] epa.gov
[1] sinobiological.com

Top Domains in Tweet in G10:
[4] twitter.com
[2] brief19.com
[1] gov.uk
[1] elsevierhealth.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1463] coronavirus
[323] covid19
[127] virus
[109] disease
[106] canalsalut
[101] sars
[82] ncov
[75] sars_cov_2
[71] covid
[62] covid_19



Top Hashtags in Tweet in G1:
[901] coronavirus
[92] canalsalut
[42] diabetis
[3] joactuo
[2] joemquedoacasa
[1] quedatacasa

Top Hashtags in Tweet in G2:
[1] coronavirus

Top Hashtags in Tweet in G3:
[79] coronavirus
[71] covid19
[42] ncov
[41] sars_cov_2
[37] covid_19
[19] sars
[16] chinavirus
[15] sarscov2
[11] pandemic
[9] virus

Top Hashtags in Tweet in G5:
[28] coronavirus
[23] sars_cov_2
[23] covid19
[19] pandemic
[18] ncov
[18] trumpvirus
[18] covid_19
[3] coronaviruses
[3] covid
[3] sars

Top Hashtags in Tweet in G6:
[1] jairnaocainemapau

Top Hashtags in Tweet in G8:
[1] كورونا_الكويت
[1] الكويت_تحارب_كورونا
[1] coronavid19

Top Hashtags in Tweet in G9:
[107] coronavirus
[107] virus
[107] disease
[4] who
[4] cdc
[4] remdesivir
[2] covid19
[2] coronaviruses
[1] lipid
[1] genetic

Top Words
Top Words in Tweet in Entire Graph:
[985] Words in Sentiment List#1: Positive
[2670] Words in Sentiment List#2: Negative
[12] Words in Sentiment List#3: Angry/Violent
[117516] Non-categorized Words
[121171] Total Words
[4222] sars
[3105] cov
[1893] ncov
[1542] 2019
[1463] #coronavirus

Top Words in Tweet in G1:
[990] sars
[990] cov
[967] salutcat
[901] #coronavirus
[682] informació
[584] altres
[584] llengües
[582] amazic
[582] armeni
[582] akan

Top Words in Tweet in G2:
[800] nom
[717] c'est
[447] sars
[445] cov
[441] 2019
[441] ncov
[362] sont
[358] refais
[358] précision
[358] ceux

Top Words in Tweet in G3:
[435] sars
[312] cov
[293] ncov
[257] 2019
[218] 19
[191] coronavirus
[184] covid
[149] virus
[79] #coronavirus
[71] #covid19

Top Words in Tweet in G4:
[219] virus
[219] sars
[218] observe
[218] last
[218] few
[218] years
[218] saw
[218] many
[218] outbreaks
[218] 2002

Top Words in Tweet in G5:
[112] sars
[85] ncov
[84] virus
[80] 2019
[73] cov
[70] coronavirus
[49] 19
[39] novel
[36] covid
[33] name

Top Words in Tweet in G6:
[152] cientistas
[152] chineses
[152] publicaram
[152] revista
[152] científica
[152] britânica
[152] nature
[152] hidroxicloroquina
[152] eficaz
[152] inibição

Top Words in Tweet in G7:
[146] coronavirus
[145] scmp
[145] article
[145] summarizes
[145] primary
[145] known
[145] facts
[145] abt
[145] first
[145] virus

Top Words in Tweet in G8:
[134] عدة
[132] معهد
[132] دسمان
[132] للسكري
[132] يكمل
[132] بنجاح
[132] فك
[132] الشفرة
[132] الوراثية
[132] لفيروس

Top Words in Tweet in G9:
[226] sars
[226] cov
[112] ncov
[109] laurelcoons
[108] covid
[108] 19
[107] naming
[107] #coronavirus
[107] previously
[107] 2019

Top Words in Tweet in G10:
[93] brief_19
[84] daily
[65] sars
[65] ncov
[49] brief19
[42] covid
[42] 19
[33] jeremyfaust
[32] first
[31] obesity

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2902] sars,cov
[1265] 2019,ncov
[1142] #coronavirus,sars
[842] covid,19
[717] c'est,nom
[622] informació,#coronavirus
[618] altres,llengües
[611] cov,altres
[609] llengües,amazic
[609] amazic,armeni

Top Word Pairs in Tweet in G1:
[990] sars,cov
[899] #coronavirus,sars
[584] informació,#coronavirus
[584] altres,llengües
[582] cov,altres
[582] llengües,amazic
[582] amazic,armeni
[582] armeni,akan
[582] akan,àrab
[582] àrab,bambara

Top Word Pairs in Tweet in G2:
[717] c'est,nom
[444] sars,cov
[441] 2019,ncov
[358] refais,précision
[358] précision,ceux
[358] ceux,sont
[358] sont,sûr
[358] sûr,2019
[358] ncov,c'est
[358] nom,préliminaire

Top Word Pairs in Tweet in G3:
[284] sars,cov
[185] 2019,ncov
[180] covid,19
[57] cov,2019
[51] sars,ncov
[39] novel,coronavirus
[37] corona,virus
[35] coronavirus,sars
[33] 19,sars
[30] coronavirus,2019

Top Word Pairs in Tweet in G4:
[218] observe,last
[218] last,few
[218] few,years
[218] years,saw
[218] saw,many
[218] many,virus
[218] virus,outbreaks
[218] outbreaks,2002
[218] 2002,sars
[218] sars,2005

Top Word Pairs in Tweet in G5:
[63] 2019,ncov
[60] sars,cov
[36] covid,19
[22] novel,coronavirus
[17] #covid19,#ncov
[16] #ncov,novel
[16] novel,#coronavirus
[16] #coronavirus,#trumpvirus
[16] #trumpvirus,#sars_cov_2
[15] #pandemic,#covid19

Top Word Pairs in Tweet in G6:
[152] cientistas,chineses
[152] chineses,publicaram
[152] publicaram,revista
[152] revista,científica
[152] científica,britânica
[152] britânica,nature
[152] nature,hidroxicloroquina
[152] hidroxicloroquina,eficaz
[152] eficaz,inibição
[151] paulacamara_,cientistas

Top Word Pairs in Tweet in G7:
[145] scmp,article
[145] article,summarizes
[145] summarizes,primary
[145] primary,known
[145] known,facts
[145] facts,abt
[145] abt,coronavirus
[145] coronavirus,first
[145] first,virus
[145] virus,found

Top Word Pairs in Tweet in G8:
[132] معهد,دسمان
[132] دسمان,للسكري
[132] للسكري,يكمل
[132] يكمل,بنجاح
[132] بنجاح,فك
[132] فك,الشفرة
[132] الشفرة,الوراثية
[132] الوراثية,لفيروس
[132] لفيروس,الكورونا
[132] الكورونا,المستجد

Top Word Pairs in Tweet in G9:
[221] sars,cov
[108] covid,19
[107] naming,#coronavirus
[107] #coronavirus,sars
[107] cov,previously
[107] previously,2019
[107] 2019,ncov
[107] ncov,#virus
[107] #virus,covid
[107] 19,#disease

Top Word Pairs in Tweet in G10:
[65] sars,ncov
[49] daily,brief19
[47] brief_19,daily
[42] covid,19
[28] risk,factor
[27] rays,normal
[26] brief19,obesity
[26] obesity,seem
[26] seem,risk
[26] factor,severe

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@salutcat
@damkyan_omega
@parveenkaswan
@paulacamara_
@1gigisims
@hamadyaseen
@laurelcoons
@brief_19
@debunkeretoiles
@sjsantaeugenia

Top Mentioned in G1:
@salutcat
@hospitaldelmar
@ugtdiba
@vhir_
@pcmontcada
@iasgirona
@hospitalplato
@aescande1
@parctauli
@jordi_verdu

Top Mentioned in G2:
@damkyan_omega
@debunkeretoiles
@sfmu_ms

Top Mentioned in G3:
@ciulinaru49

Top Mentioned in G4:
@parveenkaswan

Top Mentioned in G5:
@realdonaldtrump
@who
@whitehouse
@cdcgov
@cnn
@randpaul
@gop
@yorklawlondon
@richardhorton1
@netadvisor

Top Mentioned in G6:
@paulacamara_

Top Mentioned in G7:
@1gigisims

Top Mentioned in G8:
@hamadyaseen
@dasmaninstitute
@fahdalmulla
@h_alduwairi

Top Mentioned in G9:
@laurelcoons
@chacklab
@asbmb
@laurelold
@citiprogram

Top Mentioned in G10:
@brief_19
@jeremyfaust
@kimichernoby
@reverendofdoubt
@kelfman

Top Tweeters
Top Tweeters in Entire Graph:
@caraotadigital
@vivacoid
@1denmadrid
@wittgenstein_jm
@revolution_fr
@algonfdez
@vtvcanal8
@ma3route
@yzehrak
@legallybae

Top Tweeters in G1:
@wittgenstein_jm
@algonfdez
@jmpelleja
@josoccdrpedroga
@emocionycambio
@gemaramos23
@vicky68_
@clio_deries
@monterhusmore
@mmillanclosa

Top Tweeters in G2:
@revolution_fr
@dascritch
@lunisemarquis
@azazel_gadriel
@mars_izafamily
@metflash
@shiinsoo
@playmogeek
@kevnid
@msvanillarose

Top Tweeters in G3:
@qzv00507
@haolethai
@quixoticgeek
@lll_anna_lll
@bembelly
@shams_z
@rnomics
@franciswashere
@medinfoa2z
@carolinekvitter

Top Tweeters in G4:
@ndsolanki
@u_anoop1
@icedtea28
@restlesspundit
@sushilsingh607
@tarundsnaol
@anirudhbengeri
@praveen_taj
@dixitghanshyam
@shilawuri

Top Tweeters in G5:
@sabcnewsonline
@kavitha129
@foxnews
@jali_cat
@steph93065
@_reaalamerican_
@cnn
@lauferlaw
@nbcnews
@cbsnews

Top Tweeters in G6:
@pauloparmm
@sheilohka
@davizte
@bolsomoroeneas
@pastorliomar
@piemarcy
@protestasp
@captjoao
@esperancaetica
@mobilidadecotia

Top Tweeters in G7:
@miltonespinozaf
@gaetasusan
@anzers
@alley167
@ish10040
@dianafry18
@dsshep1959
@wvtrump
@marilyn2617
@4djt2016

Top Tweeters in G8:
@aaaaaabbbbk
@salahalkhamees
@nawaf39965848
@bianco_neri_
@mr_maitham
@ekbalb
@ahlaasolah
@mjoudi
@slaveofgod_
@dana_ot

Top Tweeters in G9:
@1atsuhimerose2
@aguilera_jonath
@acertijo
@youngchris27040
@varung123
@cathcoste
@eprsalman
@avfolk
@dehhartman
@womensally

Top Tweeters in G10:
@legallybae
@wise_diva
@redboybroken
@meloniasherban
@pkmonaghan
@dspalten
@kcgreen17
@mrsdaig
@jeannefisher17
@judieyoung


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.