SARS-COV, Twitter, 3/26/2020 8:34:35 PM, 223784


FAQ | Problem?

SARS-COV_2020-03-26_01-28-51.xlsx
SARS-COV_2020-03-26_01-28-51.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 26, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/39iem6F
@lisamei62
@jordan_sather_
@rorie_3
@nikolovscience
@selfstrument
@ironicdummy
@sallykp
@araeenlightened
@afpfactual
@1gigisims

Top hashtags:
#coronavirus
#covid19
#sarscov2
#covidー19
#sars
#actualidad
#hantavirus
#covid

Description:
Description
The graph represents a network of 5,714 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 Thursday, 26 March 2020 at 08:30 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 2-day, 7-hour, 52-minute period from Monday, 23 March 2020 at 02:34 UTC to Wednesday, 25 March 2020 at 10:27 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 : 5714
Unique Edges : 6270
Edges With Duplicates : 566
Total Edges : 6836
Number of Edge Types : 4
MentionsInRetweet : 4919
Replies to : 575
Mentions : 727
Tweet : 615
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.00317619525242394
Reciprocated Edge Ratio : 0.00633227795367439
Connected Components : 884
Single-Vertex Connected Components : 310
Maximum Vertices in a Connected Component : 1709
Maximum Edges in a Connected Component : 2386
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.227474
Graph Density : 0.000183831176505438
Modularity : 0.840995
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,714 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 Thursday, 26 March 2020 at 08:30 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 2-day, 7-hour, 52-minute period from Monday, 23 March 2020 at 02:34 UTC to Wednesday, 25 March 2020 at 10:27 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:
[591] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258702/?report=reader#fn3
[98] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142193/
[18] https://sputniknews.com/asia/202001031077931376-chinese-health-authorities-confirm-44-cases-of-mystery-viral-pneumonia-in-wuhan/
[16] https://www.fhi.no/publ/2020/sars-cov-2-mers-cov-og-sars-cov-og-risiko-for-luftbaren-smitte/
[7] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[7] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2176051/
[7] https://cmr.asm.org/content/cmr/20/4/660.full.pdf
[6] https://cmr.asm.org/content/20/4/660
[6] https://threadreaderapp.com/thread/1242238279132594176.html
[5] https://www.youtube.com/watch?v=9-8zcBogaKY&feature=youtu.be


Top URLs in Tweet in G1:
[6] 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 G2:
[587] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258702/?report=reader#fn3

Top URLs in Tweet in G4:
[4] https://twitter.com/alisdj1/status/1242484521431334913
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2176051/
[3] http://noisyroom.net/blog/2020/03/23/hey-cnn-msnbc-for-15-years-it-has-been-chinas-sars-cov/
[3] https://cmr.asm.org/content/20/4/660
[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.fhi.no/publ/2020/sars-cov-2-mers-cov-og-sars-cov-og-risiko-for-luftbaren-smitte/
[2] https://www.ncbi.nlm.nih.gov/pubmed/32167153
[2] https://cmr.asm.org/content/20/4/660.short
[2] https://www.trevorloudon.com/2020/03/hey-cnn-msnbc-for-15-years-it-has-been-chinas-sars-cov/

Top URLs in Tweet in G5:
[5] https://www.youtube.com/watch?v=9-8zcBogaKY&feature=youtu.be

[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.jbc.org/content/291/17/9218.full.pdf
[1] https://www.sciencedirect.com/science/article/pii/S0166354215000248
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5027702/
[1] https://patents.google.com/patent/US7220852B1/en
[1] https://twitter.com/ChuckCallesto/status/1241982895956398083
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41579-018-0003-6
[1] https://www.painmedicinenews.com/Online-First/Article/03-20/FDA-Clears-Roche-COVID-19-Test/57627?utm_source=Social&utm_medium=twitter&utm_campaign=0316rochetest
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322906/

Top URLs in Tweet in G6:
[2] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69

Top URLs in Tweet in G7:
[96] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142193/
[2] https://aac.asm.org/content/48/7/2693
[1] https://twitter.com/davidrliu/status/1241548551525748736

Top URLs in Tweet in G8:
[1] https://web.archive.org/web/20190729180122/http://english.whiov.cas.cn/About_Us2016/History2016/

Top URLs in Tweet in G10:
[1] https://www.medrxiv.org/content/10.1101/2020.03.17.20034454v1
[1] https://flutrackers.com/forum/forum/welcome-to-the-scientific-library/treatments/840254-rev-esp-anestesiol-reanim-practical-recommendations-for-the-perioperative-management-of-the-patient-with-suspection-or-serious-infection-by-coronavirus-sars-cov

Top Domains
Top Domains in Tweet in Entire Graph:
[741] nih.gov
[81] twitter.com
[28] asm.org
[18] sputniknews.com
[17] youtube.com
[16] fhi.no
[14] nature.com
[11] sciencedirect.com
[9] cdc.gov
[9] elsevierhealth.com

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

Top Domains in Tweet in G2:
[587] nih.gov

Top Domains in Tweet in G4:
[44] twitter.com
[19] nih.gov
[7] asm.org
[7] youtube.com
[3] noisyroom.net
[2] biomedcentral.com
[2] nature.com
[2] medrxiv.org
[2] founderscode.com
[2] go.jp

Top Domains in Tweet in G5:
[5] youtube.com
[3] nih.gov
[1] elsevierhealth.com
[1] jbc.org
[1] sciencedirect.com
[1] google.com
[1] twitter.com
[1] nature.com
[1] painmedicinenews.com

Top Domains in Tweet in G6:
[2] biomedcentral.com

Top Domains in Tweet in G7:
[96] nih.gov
[2] asm.org
[1] twitter.com

Top Domains in Tweet in G8:
[1] archive.org

Top Domains in Tweet in G10:
[1] medrxiv.org
[1] flutrackers.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[123] coronavirus
[114] covid19
[34] sarscov2
[27] covidー19
[19] sars
[15] actualidad
[9] hantavirus
[9] covid
[9] corona
[8] rt



Top Hashtags in Tweet in G2:
[1] covidconspiracy
[1] wuhanvirus
[1] qanon
[1] qproof

Top Hashtags in Tweet in G4:
[19] covid19
[16] coronavirus
[6] covidー19
[5] covid
[4] hantavirus
[3] coronavirussa
[3] wuhan
[3] covid2019
[2] pandemic
[2] koronavirus

Top Hashtags in Tweet in G5:
[3] covid19
[3] chinesevirus
[2] fda
[2] coronavirus
[2] covidー19
[2] congress
[2] roche
[1] coronavirusupdate
[1] coronavirusnewyork
[1] coronavirustest

Top Hashtags in Tweet in G7:
[8] covid19

Top Hashtags in Tweet in G10:
[1] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[1128] Words in Sentiment List#1: Positive
[3997] Words in Sentiment List#2: Negative
[23] Words in Sentiment List#3: Angry/Violent
[128499] Non-categorized Words
[133624] Total Words
[5216] sars
[5147] cov
[1773] 2007
[1142] virus
[1006] showing

Top Words in Tweet in G1:
[876] drop
[876] 23
[876] mar
[876] '20
[876] waiting
[876] seen
[876] many
[876] anons
[876] 2007
[876] doc

Top Words in Tweet in G2:
[663] sars
[663] cov
[588] jordan_sather_
[587] report
[587] research
[587] done
[587] bats
[587] china
[587] see
[587] strain

Top Words in Tweet in G3:
[503] 2007
[503] virus
[503] similares
[503] sars
[503] cov
[503] murciélagos
[502] año
[502] presencia
[502] junto
[502] cultura

Top Words in Tweet in G4:
[510] sars
[503] cov
[109] coronavirus
[76] mers
[76] virus
[63] covid
[60] 19
[43] respiratory
[42] china
[37] severe

Top Words in Tweet in G5:
[141] sars
[110] cov
[93] aranganathan72
[76] realdonaldtrump
[56] chloroquine
[52] hydroxychloroquine
[52] virus
[51] italy
[51] struggles
[51] mentions

Top Words in Tweet in G6:
[142] chloroquine
[142] effective
[141] turns
[141] anti
[141] malaria
[141] drug
[141] known
[141] science
[141] agent
[141] capable

Top Words in Tweet in G7:
[150] sars
[138] cov
[97] 3c
[97] protease
[96] inhibition
[96] activity
[96] theaflavin
[96] digallate
[96] tf3
[96] interesting

Top Words in Tweet in G8:
[136] em
[130] vejam
[128] domdasthreads
[97] os
[93] agora
[86] 11
[86] usa
[86] já
[86] estavam
[86] alertas

Top Words in Tweet in G9:
[83] bomby
[83] lubią
[83] wybuchnąć
[83] rok
[83] 2007
[83] pismo
[83] naukowe
[83] microbiology
[83] review
[83] pisało

Top Words in Tweet in G10:
[158] sars
[148] cov
[74] mackayim
[74] existing
[74] antibodies
[67] assays
[63] diagnostic
[63] detect
[63] patients
[63] diagnosed

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4776] sars,cov
[957] re,sars
[955] drop,23
[955] 23,mar
[955] mar,'20
[955] '20,waiting
[955] waiting,seen
[955] seen,many
[955] many,anons
[955] anons,2007

Top Word Pairs in Tweet in G1:
[876] drop,23
[876] 23,mar
[876] mar,'20
[876] '20,waiting
[876] waiting,seen
[876] seen,many
[876] many,anons
[876] anons,2007
[876] 2007,doc
[876] doc,re

Top Word Pairs in Tweet in G2:
[663] sars,cov
[587] jordan_sather_,report
[587] report,sars
[587] cov,research
[587] research,done
[587] done,bats
[587] bats,china
[587] china,see
[587] see,strain
[587] strain,bond

Top Word Pairs in Tweet in G3:
[503] virus,similares
[503] sars,cov
[502] año,2007
[502] 2007,presencia
[502] presencia,virus
[502] similares,sars
[502] cov,murciélagos
[502] murciélagos,junto
[502] junto,cultura
[502] cultura,comer

Top Word Pairs in Tweet in G4:
[423] sars,cov
[61] mers,cov
[54] covid,19
[36] respiratory,syndrome
[29] cov,sars
[25] severe,acute
[25] acute,respiratory
[24] coronavirus,sars
[16] cov,mers
[13] cov,covid

Top Word Pairs in Tweet in G5:
[102] sars,cov
[51] italy,struggles
[51] struggles,realdonaldtrump
[51] realdonaldtrump,mentions
[51] mentions,chloroquine
[51] chloroquine,hydroxychloroquine
[51] hydroxychloroquine,treatments
[51] treatments,sars
[50] aranganathan72,italy
[45] study,showing

Top Word Pairs in Tweet in G6:
[141] turns,chloroquine
[141] chloroquine,anti
[141] anti,malaria
[141] malaria,drug
[141] drug,known
[141] known,science
[141] science,effective
[141] effective,agent
[141] agent,capable
[141] capable,both

Top Word Pairs in Tweet in G7:
[138] sars,cov
[97] 3c,protease
[96] inhibition,sars
[96] cov,3c
[96] protease,activity
[96] activity,theaflavin
[96] theaflavin,digallate
[96] digallate,tf3
[96] tf3,interesting
[95] drjasonfung,inhibition

Top Word Pairs in Tweet in G8:
[86] 11,os
[86] os,usa
[86] usa,já
[86] já,estavam
[86] estavam,alertas
[86] alertas,pesquisas
[86] pesquisas,em
[86] em,wuhan
[86] wuhan,2007
[86] 2007,vejam

Top Word Pairs in Tweet in G9:
[83] bomby,lubią
[83] lubią,wybuchnąć
[83] wybuchnąć,rok
[83] rok,2007
[83] 2007,pismo
[83] pismo,naukowe
[83] naukowe,microbiology
[83] microbiology,review
[83] review,pisało
[83] pisało,obecność

Top Word Pairs in Tweet in G10:
[147] sars,cov
[63] existing,diagnostic
[63] diagnostic,assays
[63] assays,sars
[63] cov,detect
[63] detect,antibodies
[63] antibodies,patients
[63] patients,diagnosed
[63] diagnosed,covid
[63] covid,19

Top Replied-To
Top Replied-To in Entire Graph:
@siyahatname
@realdonaldtrump
@davidrliu
@taylankulacogiu
@drericding
@neededreason
@marcoskleine
@mackayim
@zlj517
@pedro_penda

Top Replied-To in G2:
@jordan_sather_

Top Replied-To in G4:

Top Replied-To in G5:
@realdonaldtrump
@verminsupreme
@matkashbakihai
@josieanddimples
@rockrockwayne
@jeffreyguterman
@msdadier
@janjekielek
@madaaliyah_
@variety

Top Replied-To in G7:
@davidrliu
@michaelzlin

Top Replied-To in G10:
@mackayim
@adrian1977
@torodearena

Top Mentioned
Top Mentioned in Entire Graph:
@lisamei62
@rorie_3
@jordan_sather_
@ironicdummy
@nikolovscience
@domdasthreads
@drjasonfung
@aranganathan72
@golempolski
@realdonaldtrump

Top Mentioned in G1:
@lisamei62
@adrienne711

Top Mentioned in G2:
@rorie_3
@jordan_sather_
@lisamei62

Top Mentioned in G3:
@ironicdummy

Top Mentioned in G5:
@aranganathan72
@realdonaldtrump
@verminsupreme
@us_fda
@acidmongrel
@randpaul
@itsashlyperez
@eugenegu
@tomfitton
@kal_ki_corp

Top Mentioned in G6:
@nikolovscience
@lisamei62

Top Mentioned in G7:
@drjasonfung
@michaelzlin
@davidrliu

Top Mentioned in G8:
@domdasthreads
@aracipatriota

Top Mentioned in G9:
@golempolski

Top Mentioned in G10:
@mackayim
@flutrackers

Top Tweeters
Top Tweeters in Entire Graph:
@occuworld
@oldlady12345
@rodolfoxoliz
@pairsonnalitese
@5fec93919a544d3
@ma3route
@lovtoridemytrek
@loudl
@maybel65
@miltonespinozaf

Top Tweeters in G1:
@joej2020usa
@inabsentia9
@saveusrepublic2
@loyaltotrump
@rentonmagauk
@jjmac55
@cathyspartanj
@aliatra1968
@lorajperkins
@bppope

Top Tweeters in G2:
@lovtoridemytrek
@miltonespinozaf
@woitekj
@lovecovfefe2020
@peggyruppe
@janiek13
@z_chrissie
@brandonjlandry
@gracecourtwrig3
@plmyers

Top Tweeters in G3:
@samoyeonbiased
@itsyeid
@aglaia_berlutti
@epaalejandro
@marina0404
@vxlchitsa
@cuzimelie
@yannilett_
@vmalfayeed
@alfredoritos

Top Tweeters in G4:
@occuworld
@pairsonnalitese
@fl85
@magtell
@rev_de_presse
@rumrot
@thmsm74
@rogerablackwell
@fionasrevenge
@terresamonroe

Top Tweeters in G5:
@vinodshadija
@jaiprakashaga18
@nytimes
@washingtonpost
@lrihendry
@variety
@umedmehta45
@sradeep_d
@oppressedhindu
@jeffreyguterman

Top Tweeters in G6:
@rosyjour
@real_dr_roy
@realmarlinsfan
@cgduck5
@mikerestorer
@nderi_j
@llviola
@alan_poirier
@vincentartale
@norm1037

Top Tweeters in G7:
@tkinder
@swamper60
@lisanke
@biorealism
@mangan150
@zulfiqa79794568
@kungfu_mandarin
@muzzpol
@sjksanders
@madagasp

Top Tweeters in G8:
@edgaarcia
@marialcab
@thadeusimoes
@edcar1811
@neusamarquess
@g_g_garci
@iza_franco55
@paula2ag
@alec18762338
@dorivas5

Top Tweeters in G9:
@anakreontyk
@ddarek75
@ssr57
@mich_ewa
@magicc69
@hyolpol
@zbyszekkrak
@miguelaragna
@krzysztofbosak
@pawel_kubala

Top Tweeters in G10:
@ungubunugu1274
@jjdebenedictis
@lydia91436965
@rocobasilisk
@crof
@cristo_monte
@mackayim
@lisajeanapple
@cosseaton
@ethnography911