SARS-COV, Twitter, 3/25/2020 7:07:57 PM, 223694


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SARS-COV_2020-03-25_01-08-33.xlsx
SARS-COV_2020-03-25_01-08-33.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 25, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/2xniXXN
@lisamei62
@killaudeepstate
@bloodymarypdx
@jenninemorgan
@realjameswoods
@realdonaldtrump
@ironicdummy
@nikolovscience
@selfstrument
@ayabellsmd

Top hashtags:
#covid19
#coronavirus
#sarscov2
#covidー19
#rt
#corona
#covid

Description:
Description
The graph represents a network of 5,812 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, 25 March 2020 at 08:10 UTC.

The requested start date was Wednesday, 25 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 2-day, 6-hour, 31-minute period from Sunday, 22 March 2020 at 03:48 UTC to Tuesday, 24 March 2020 at 10:19 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 : 5812
Unique Edges : 5760
Edges With Duplicates : 537
Total Edges : 6297
Number of Edge Types : 4
MentionsInRetweet : 4251
Tweet : 644
Replies to : 648
Mentions : 754
Self-Loops : 644
Reciprocated Vertex Pair Ratio : 0.0047970479704797
Reciprocated Edge Ratio : 0.00954829232464194
Connected Components : 942
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 1282
Maximum Edges in a Connected Component : 1444
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.354058
Graph Density : 0.000161250531925414
Modularity : 0.871582
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,812 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, 25 March 2020 at 08:10 UTC.

The requested start date was Wednesday, 25 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 2-day, 6-hour, 31-minute period from Sunday, 22 March 2020 at 03:48 UTC to Tuesday, 24 March 2020 at 10:19 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:
[93] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142193/
[11] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[9] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2176051/
[9] https://cmr.asm.org/content/cmr/20/4/660.full.pdf
[8] http://english.whiov.cas.cn/Research/Research_Progress/201603/t20160311_160492.html
[7] https://genotipia.com/genetica_medica_news/sars-cov/
[7] https://cmr.asm.org/content/20/4/660
[6] https://twitter.com/Siyahatname/status/1241708851050807296
[4] https://www.nytimes.com/2003/04/21/world/the-sars-epidemic-epidemic-china-admits-underreporting-its-sars-cases.html
[3] https://threadreaderapp.com/thread/1242238279132594176.html

Top URLs in Tweet in G1:
[3] https://threadreaderapp.com/thread/1242238279132594176.html
[1] https://www.youtube.com/watch?v=aeVrMniBjSc

[1] https://twitter.com/LisaMei62/status/1049811092954914816?s=19

Top URLs in Tweet in G3:
[6] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2176051/
[4] https://twitter.com/Siyahatname/status/1241708851050807296
[3] https://cmr.asm.org/content/20/4/660
[2] https://cmr.asm.org/content/cmr/20/4/660.full.pdf
[2] https://translationportal.epo.org/emtp/translate/?ACTION=description-retrieval&COUNTRY=EP&ENGINE=google&FORMAT=docdb&KIND=B1&LOCALE=en_EP&NUMBER=1694829&SRCLANG=fr&TRGLANG=tr
[2] https://twitter.com/siyahatname/status/1241708851050807296
[2] https://cmr.asm.org/content/20/4/660.full
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142193/
[2] https://founderscode.com/hey-cnn-msnbc-for-15-years-it-has-been-chinas-sars-cov/
[2] https://www.ncbi.nlm.nih.gov/pubmed/32167153

Top URLs in Tweet in G5:
[5] http://english.whiov.cas.cn/Research/Research_Progress/201603/t20160311_160492.html
[3] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[2] https://pubmed.ncbi.nlm.nih.gov/15351731/
[2] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it
[1] http://NIH.gov
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2803%2900806-5%2Ffulltext&rc=0
[1] https://www.sciencedirect.com/science/article/pii/S0166354215000248
[1] https://www.jbc.org/content/291/17/9218.full.pdf
[1] https://www.globalhealthnow.org/2020-03/covid-19s-stop-gap-solution-until-vaccines-and-antivirals-are-ready
[1] https://patents.google.com/patent/US7220852B1/en

Top URLs in Tweet in G7:
[1] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69

Top URLs in Tweet in G9:
[1] https://factual.afp.com/el-nuevo-coronavirus-no-fue-patentado-por-el-instituto-pasteur
[1] https://twitter.com/Amparo_Grisales/status/1241510170875826176
[1] https://www.eleconomista.es/economia/noticias/10429227/03/20/Alemania-se-prepara-para-nacionalizar-empresas-si-el-impacto-del-Coronavirus-se-descontrola.html

Top URLs in Tweet in G10:
[90] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142193/

Top Domains
Top Domains in Tweet in Entire Graph:
[157] nih.gov
[96] twitter.com
[28] asm.org
[24] nature.com
[14] youtube.com
[12] elsevierhealth.com
[11] biorxiv.org
[8] cas.cn
[8] sciencedirect.com
[7] who.int

Top Domains in Tweet in G1:
[3] threadreaderapp.com
[1] youtube.com
[1] twitter.com

Top Domains in Tweet in G3:
[45] twitter.com
[22] nih.gov
[10] asm.org
[5] youtube.com
[3] biorxiv.org
[2] sciencedirect.com
[2] nature.com
[2] epo.org
[2] biomedcentral.com
[2] medrxiv.org

Top Domains in Tweet in G5:
[6] nih.gov
[5] cas.cn
[3] twitter.com
[3] nature.com
[2] who.int
[2] cdc.gov
[1] elsevierhealth.com
[1] sciencedirect.com
[1] jbc.org
[1] globalhealthnow.org

Top Domains in Tweet in G7:
[1] biomedcentral.com

Top Domains in Tweet in G9:
[1] afp.com
[1] twitter.com
[1] eleconomista.es

Top Domains in Tweet in G10:
[90] nih.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[197] covid19
[102] coronavirus
[35] sarscov2
[24] covidー19
[13] rt
[10] corona
[9] covid
[9] sars
[7] actualidad
[6] cryoem



Top Hashtags in Tweet in G3:
[22] covid19
[14] coronavirus
[5] covidー19
[5] covid
[3] coronavirussa
[2] covidiot
[2] corona
[2] vaka1236
[2] stayathome
[2] pandemic

Top Hashtags in Tweet in G5:
[3] chinesevirus
[3] bioweapon
[2] coronavirus
[1] covid19

Top Hashtags in Tweet in G6:
[1] covid19
[1] coronavirus

Top Hashtags in Tweet in G8:
[58] covid19
[1] covid_19mexico
[1] covid19mexico
[1] covid19mx
[1] covid

Top Hashtags in Tweet in G9:
[47] coronavirus
[1] afp
[1] datoscoronavirus

Top Words
Top Words in Tweet in Entire Graph:
[1216] Words in Sentiment List#1: Positive
[3963] Words in Sentiment List#2: Negative
[41] Words in Sentiment List#3: Angry/Violent
[130990] Non-categorized Words
[136169] Total Words
[5145] sars
[5100] cov
[1623] 2007
[1532] virus
[890] horseshoe

Top Words in Tweet in G1:
[820] drop
[820] 23
[820] mar
[820] '20
[820] waiting
[820] seen
[820] many
[820] anons
[820] 2007
[820] doc

Top Words in Tweet in G2:
[493] 2007
[493] virus
[493] similares
[493] sars
[493] cov
[493] murciélagos
[492] año
[492] presencia
[492] junto
[492] cultura

Top Words in Tweet in G3:
[511] sars
[510] cov
[112] coronavirus
[85] virus
[77] mers
[66] covid
[66] 19
[48] respiratory
[46] 2003
[41] syndrome

Top Words in Tweet in G4:
[526] name
[266] cov
[265] sars
[264] covid
[264] 19
[264] virus
[263] little
[263] late
[263] hope
[263] still

Top Words in Tweet in G5:
[172] sars
[126] cov
[81] virus
[62] aranganathan72
[57] realdonaldtrump
[38] drug
[36] chloroquine
[35] study
[34] hydroxychloroquine
[34] showing

Top Words in Tweet in G6:
[121] gripe
[119] plagas
[119] pestes
[119] mundo
[119] lepra
[119] peste
[119] negra
[119] viruela
[119] española
[119] fiebre

Top Words in Tweet in G7:
[117] turns
[117] chloroquine
[117] anti
[117] malaria
[117] drug
[117] known
[117] science
[117] effective
[117] agent
[117] capable

Top Words in Tweet in G8:
[94] doctorhumano
[58] acabo
[58] dar
[58] cuenta
[58] nueva
[58] tasa
[58] letalidad
[58] #covid19
[58] 14
[58] 611

Top Words in Tweet in G9:
[47] nuevo
[47] #coronavirus
[47] creado
[47] instituto
[47] pasteur
[47] francia
[47] existe
[47] patente
[47] 2004
[47] tipo

Top Words in Tweet in G10:
[91] sars
[91] 3c
[91] protease
[90] inhibition
[90] cov
[90] activity
[90] theaflavin
[90] digallate
[90] tf3
[90] interesting

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4649] sars,cov
[827] horseshoe,bat
[826] re,sars
[826] cov,showing
[825] drop,23
[825] 23,mar
[825] mar,'20
[825] '20,waiting
[825] waiting,seen
[825] seen,many

Top Word Pairs in Tweet in G1:
[820] drop,23
[820] 23,mar
[820] mar,'20
[820] '20,waiting
[820] waiting,seen
[820] seen,many
[820] many,anons
[820] anons,2007
[820] 2007,doc
[820] doc,re

Top Word Pairs in Tweet in G2:
[493] virus,similares
[493] sars,cov
[492] año,2007
[492] 2007,presencia
[492] presencia,virus
[492] similares,sars
[492] cov,murciélagos
[492] murciélagos,junto
[492] junto,cultura
[492] cultura,comer

Top Word Pairs in Tweet in G3:
[431] sars,cov
[60] covid,19
[59] mers,cov
[39] respiratory,syndrome
[31] cov,sars
[27] severe,acute
[27] acute,respiratory
[17] 2019,ncov
[16] coronavirus,sars
[14] virus,sars

Top Word Pairs in Tweet in G4:
[265] sars,cov
[264] covid,19
[263] little,late
[263] late,hope
[263] hope,still
[263] still,helps
[263] helps,here's
[263] here's,simple
[263] simple,tweetorial
[263] tweetorial,covid

Top Word Pairs in Tweet in G5:
[123] sars,cov
[34] study,showing
[31] italy,struggles
[31] struggles,realdonaldtrump
[31] realdonaldtrump,mentions
[31] mentions,chloroquine
[31] chloroquine,hydroxychloroquine
[31] hydroxychloroquine,treatments
[31] treatments,sars
[30] aranganathan72,italy

Top Word Pairs in Tweet in G6:
[119] plagas,pestes
[119] pestes,mundo
[119] mundo,lepra
[119] lepra,peste
[119] peste,negra
[119] negra,viruela
[119] viruela,gripe
[119] gripe,española
[119] española,fiebre
[119] fiebre,amarila

Top Word Pairs in Tweet in G7:
[117] turns,chloroquine
[117] chloroquine,anti
[117] anti,malaria
[117] malaria,drug
[117] drug,known
[117] known,science
[117] science,effective
[117] effective,agent
[117] agent,capable
[117] capable,both

Top Word Pairs in Tweet in G8:
[58] acabo,dar
[58] dar,cuenta
[58] cuenta,nueva
[58] nueva,tasa
[58] tasa,letalidad
[58] letalidad,#covid19
[58] #covid19,14
[58] 14,611
[58] 611,335
[58] 335,403

Top Word Pairs in Tweet in G9:
[47] nuevo,#coronavirus
[47] #coronavirus,creado
[47] creado,instituto
[47] instituto,pasteur
[47] pasteur,francia
[47] francia,existe
[47] existe,patente
[47] patente,2004
[47] 2004,tipo
[46] afpfactual,nuevo

Top Word Pairs in Tweet in G10:
[91] 3c,protease
[90] inhibition,sars
[90] sars,cov
[90] cov,3c
[90] protease,activity
[90] activity,theaflavin
[90] theaflavin,digallate
[90] digallate,tf3
[90] tf3,interesting
[89] drjasonfung,inhibition

Top Replied-To
Top Replied-To in Entire Graph:
@siyahatname
@realjameswoods
@realdonaldtrump
@taylankulacogiu
@milenyumkahin
@yazparov
@countdankulatv
@sevdammemleket
@weather_talk
@linsod

Top Replied-To in G3:

Top Replied-To in G5:
@realdonaldtrump
@realjameswoods
@weather_talk
@verminsupreme
@leftysfear
@drwhoismyname1
@kingsbluue
@happyheart411
@paulsperry_
@raging_red

Top Replied-To in G8:
@doctorhumano
@mike_tiburon
@mictlan_black

Top Replied-To in G9:
@amparo_grisales
@kapecho89
@fisicoimpuro
@colbolivariana

Top Mentioned
Top Mentioned in Entire Graph:
@lisamei62
@ironicdummy
@ayabellsmd
@antisocialistos
@nikolovscience
@doctorhumano
@drjasonfung
@golempolski
@ockhams
@aranganathan72

Top Mentioned in G1:
@lisamei62

Top Mentioned in G2:
@ironicdummy

Top Mentioned in G4:
@ayabellsmd

Top Mentioned in G5:
@aranganathan72
@realdonaldtrump
@vakibs
@realjameswoods
@realcandaceo
@barbiebrox
@bzcritter
@potus
@verminsupreme
@mamag111357

Top Mentioned in G6:
@antisocialistos

Top Mentioned in G7:
@nikolovscience
@lisamei62

Top Mentioned in G8:
@doctorhumano
@aka1gami
@mike_tiburon

Top Mentioned in G9:
@afpfactual
@mar_cherbonneau
@faroballest
@fisicoimpuro
@kapecho89
@ironicdummy
@colbolivariana

Top Mentioned in G10:
@drjasonfung

Top Tweeters
Top Tweeters in Entire Graph:
@occuworld
@s9tmt
@rodolfoxoliz
@5fec93919a544d3
@ma3route
@lucysullivan888
@maybel65
@miltonespinozaf
@zory_58
@joej2020usa

Top Tweeters in G1:
@miltonespinozaf
@joej2020usa
@saveusrepublic2
@inabsentia9
@loyaltotrump
@rentonmagauk
@peggyruppe
@jjmac55
@cathyspartanj
@gracecourtwrig3

Top Tweeters in G2:
@samoyeonbiased
@itsyeid
@aglaia_berlutti
@epaalejandro
@marina0404
@vxlchitsa
@cuzimelie
@yannilett_
@vmalfayeed
@alfredoritos

Top Tweeters in G3:
@occuworld
@elcidbarett
@pm_girl
@magtell
@rev_de_presse
@myownpetard
@fionasrevenge
@terresamonroe
@oko_planet_su
@freakcion

Top Tweeters in G4:
@yunjae
@knamored
@juvymonteclaro
@kaathford
@camillest__
@karenteresee
@ohmychandriaa
@mariacaaarl
@hijadepusa
@hillarybrnsl

Top Tweeters in G5:
@lucysullivan888
@vinodshadija
@jaiprakashaga18
@nytimes
@washingtonpost
@happyheart411
@lrihendry
@sradeep_d
@nbcnews
@jenninemorgan

Top Tweeters in G6:
@diegoduda7822
@el82ye78
@2654526645
@antoniop55
@dromerito10
@sanhidrovo
@paolanicholls
@cipher2019
@joseluislajes
@saturnoyang

Top Tweeters in G7:
@rosyjour
@realmarlinsfan
@cgduck5
@mikerestorer
@nderi_j
@llviola
@alan_poirier
@vincentartale
@dude_america
@gaylenesass

Top Tweeters in G8:
@vicentelozadab
@kurai_tsukino
@virialexviri
@isabellanajera
@conchitahdez
@willianholguin
@el_imprudentee
@mmi_1970
@gandhysalgado
@danncita

Top Tweeters in G9:
@rodolfoxoliz
@mariacabadas
@dulcineaberry
@dylanclaudio1
@bessy_rios
@unhernanmas
@ssatyr
@mjrmora
@albanah
@miremosaver

Top Tweeters in G10:
@tkinder
@swamper60
@lisanke
@biorealism
@mangan150
@zulfiqa79794568
@kungfu_mandarin
@muzzpol
@alanwil337
@healthyfellow