SARS-COV, Twitter, 5/15/2022 6:43:38 PM, 276371


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SARS-COV_2022-05-15_02-51-16.xlsx
SARS-COV_2022-05-15_02-51-16.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 15, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/3MkbEBV
@michaelbathurst
@daoyu15
@frozen
@0bj3ctivity
@rosadelasdunas
@mugecevik
@tomasoantonacci
@lisa_iannattone
@innominata_
@chargrille

Top hashtags:
#sarscov2
#hepatitis
#covid19
#mers
#longcovid
#blogpay
#vaccine
#covid

Description:
Description
The graph represents a network of 1,370 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, 15 May 2022 at 09:52 UTC.

The requested start date was Sunday, 15 May 2022 at 00:01 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, 11-hour, 36-minute period from Sunday, 01 May 2022 at 00:35 UTC to Friday, 13 May 2022 at 12:11 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 : 1370
Unique Edges : 868
Edges With Duplicates : 1518
Total Edges : 2386
Number of Edge Types : 5
Replies to : 264
Retweet : 559
MentionsInRetweet : 858
Mentions : 533
Tweet : 172
Self-Loops : 188
Reciprocated Vertex Pair Ratio : 0.00576784426820476
Reciprocated Edge Ratio : 0.0114695340501792
Connected Components : 271
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 321
Maximum Edges in a Connected Component : 908
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.449829
Graph Density : 0.000743789755429132
Modularity : 0.587121
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,370 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, 15 May 2022 at 09:52 UTC.

The requested start date was Sunday, 15 May 2022 at 00:01 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, 11-hour, 36-minute period from Sunday, 01 May 2022 at 00:35 UTC to Friday, 13 May 2022 at 12:11 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://archive.ph/yXjt4
[6] https://www.sciencedirect.com/science/article/pii/S0092867422001945
[5] https://m-cam.com/wp-content/uploads/2020/04/20200403_SARS_CoV_Patent_Corpus_Lit_Review.pdf
[5] https://www.news-medical.net/news/20211101/Alteration-in-gut-microbiome-may-lead-to-hyperinflammation-in-severe-COVID-19.aspx?fbclid=IwAR0ene82If5PhLOebTitRhu7IqPTBFmFykh_ZmFfI0dDIXvOeKAqR2jSgDQ
[4] https://pubmed-ncbi-nlm-nih-gov.translate.goog/15507655/
[4] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618
[3] https://pubmed.ncbi.nlm.nih.gov/15507655/
[3] https://onlinelibrary.wiley.com/doi/10.1002/prot.26024
[3] https://pubmed.ncbi.nlm.nih.gov/16035944/
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002747/#:~:text=SARS%2DCoV%20originated%20in,1%2C5%5D

Top URLs in Tweet in G1:
[8] https://archive.ph/yXjt4
[6] https://www.sciencedirect.com/science/article/pii/S0092867422001945
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112560/
[2] https://www.federalregister.gov/documents/2021/11/17/2021-25204/possession-use-and-transfer-of-select-agents-and-toxins-addition-of-sars-covsars-cov-2-chimeric
[1] https://web.archive.org/web/20040721012235/http://www.wpro.who.int/sars/docs/update/update_07022004.asp
[1] https://twitter.com/monarahalkar/status/1524048239305150464
[1] https://twitter.com/pathogenetics/status/1524367320147238912
[1] https://twitter.com/humblesci/status/1524357752109531136
[1] https://archive.ph/71Di3
[1] https://archive.ph/6B1Og

Top URLs in Tweet in G2:
[1] https://bmcneurol.biomedcentral.com/articles/10.1186/1471-2377-11-37

Top URLs in Tweet in G3:
[3] https://pubmed.ncbi.nlm.nih.gov/16035944/
[2] https://pubmed.ncbi.nlm.nih.gov/17037604/
[2] https://twitter.com/janeintj/status/1459538606364712970?s=21
[1] https://yucatanahora.mx/yucatan-cumple-28-dias-sin-reportar-muertes-por-covid/
[1] https://twitter.com/MarieBayle77/status/1520473819818905602
[1] https://pubmed.ncbi.nlm.nih.gov/14767982/
[1] https://journals.lww.com/pidj/Fulltext/2021/05000/SARS_CoV_2_Infection_May_Present_as_Acute.38.aspx
[1] http://biorxiv.org/cgi/content/short/2022.04.28.489834v1?rss=1&utm_source=dlvr.it&utm_medium=twitter
[1] https://twitter.com/Irkutsk_Worker/status/1520781809096663041
[1] http://dx.doi.org/10.1021/acssynbio.1c00643?utm_source=dlvr.it&utm_medium=twitter

Top URLs in Tweet in G5:
[5] https://www.news-medical.net/news/20211101/Alteration-in-gut-microbiome-may-lead-to-hyperinflammation-in-severe-COVID-19.aspx?fbclid=IwAR0ene82If5PhLOebTitRhu7IqPTBFmFykh_ZmFfI0dDIXvOeKAqR2jSgDQ
[2] https://www.frontiersin.org/articles/10.3389/fmolb.2021.647508/full?fbclid=IwAR30av6oqQWCx45_8_7i7KMYKXzWIFsIVe69pwF-ZlNsAPKYazqz7vsNmBI
[2] https://pubmed.ncbi.nlm.nih.gov/32649864/
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275913
[1] https://twitter.com/TomasoAntonacci/status/1520759647086465024
[1] https://www.news-medical.net/news/20211101/Alteration-in-gut-microbiome-may-lead-to-hyperinflammation-in-severe-COVID

Top URLs in Tweet in G6:
[1] https://www.inserm.fr/dossier/coronavirus-sars-cov-et-mers-cov/

Top URLs in Tweet in G7:
[1] https://pubmed.ncbi.nlm.nih.gov/15507655/

Top URLs in Tweet in G8:
[1] https://twitter.com/chargrille/status/1523611635612409856

Top URLs in Tweet in G9:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141560/
[1] https://www.twitch.tv/gigaohmbiological

Top Domains
Top Domains in Tweet in Entire Graph:
[45] twitter.com
[40] nih.gov
[11] archive.ph
[8] sciencedirect.com
[8] news-medical.net
[7] nature.com
[5] m-cam.com
[4] myjournals.org
[4] translate.goog
[4] ne.jp

Top Domains in Tweet in G1:
[11] archive.ph
[9] twitter.com
[7] sciencedirect.com
[6] nih.gov
[2] google.com
[2] federalregister.gov
[1] archive.org
[1] jcvi.org
[1] pnas.org
[1] elsevierhealth.com

Top Domains in Tweet in G2:
[1] biomedcentral.com

Top Domains in Tweet in G3:
[15] twitter.com
[10] nih.gov
[4] myjournals.org
[3] nature.com
[2] biorxiv.org
[1] yucatanahora.mx
[1] lww.com
[1] doi.org
[1] irsjd.org
[1] federalregister.gov

Top Domains in Tweet in G5:
[6] news-medical.net
[2] frontiersin.org
[2] nih.gov
[2] nodexlgraphgallery.org
[1] twitter.com

Top Domains in Tweet in G6:
[1] inserm.fr

Top Domains in Tweet in G7:
[1] nih.gov

Top Domains in Tweet in G8:
[1] twitter.com

Top Domains in Tweet in G9:
[1] nih.gov
[1] twitch.tv

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[12] sarscov2
[8] hepatitis
[6] covid19
[6] mers
[5] longcovid
[4] blogpay
[2] vaccine
[2] covid
[2] pseudotyped
[2] hiv



Top Hashtags in Tweet in G1:
[2] pseudotyped
[2] hiv
[2] 293t
[1] sera
[1] sarspatients
[1] infectious

Top Hashtags in Tweet in G3:
[2] sarscov2
[2] coronavirus
[2] covid19
[1] jornadasolfativas
[1] covid
[1] omicron
[1] virus
[1] immunity
[1] covidhoax
[1] pfizerdocuments

Top Hashtags in Tweet in G5:
[2] longcovid
[2] covidlong
[1] aprã¨sj20
[1] afterj20
[1] sarscov2
[1] covid19
[1] vaccine
[1] pandemic
[1] mers
[1] covidisairborne

Top Hashtags in Tweet in G7:
[8] hepatitis

Top Words
Top Words in Tweet in Entire Graph:
[1097] sars
[1057] cov
[156] virus
[141] perhaps
[133] 12
[128] ba
[128] birileri
[120] 2004
[117] covid
[107] 19

Top Words in Tweet in G1:
[148] cov
[138] sars
[28] jikkyleaks
[27] daoyu15
[26] innominata_
[24] keithev84928885
[23] biophysicsfl
[23] jhas5
[21] jjcouey
[20] shi

Top Words in Tweet in G2:
[138] perhaps
[77] frozen
[70] sars
[70] cov
[69] story
[69] late
[69] winter
[69] 2004
[69] caught
[69] nasty

Top Words in Tweet in G3:
[122] sars
[113] cov
[33] ãƒ
[19] ç
[17] virus
[13] æ
[8] covid
[7] infection
[7] coronavirus
[7] 19

Top Words in Tweet in G4:
[128] ba
[128] 12
[128] birileri
[65] sars
[64] belki
[64] yine
[64] bi
[64] diyecek
[64] kızacak
[64] bana

Top Words in Tweet in G5:
[62] sars
[62] cov
[49] tomasoantonacci
[39] microbiote
[37] lâ
[34] infections
[30] thread
[26] virus
[23] prã
[22] par

Top Words in Tweet in G6:
[60] covid
[60] 19
[31] sars
[31] cov
[30] dossier
[30] très
[30] complet
[30] inserm
[30] auquel
[30] avons

Top Words in Tweet in G7:
[30] sars
[28] cov
[20] adaveen4
[16] vacunación
[16] leer
[16] datos
[16] sugieren
[15] agenda2030_
[15] nuestros
[14] dr

Top Words in Tweet in G8:
[20] cases
[19] reporting
[19] helpful
[18] chargrille
[18] county
[18] stopped
[18] weekly
[18] back
[18] beginning
[18] april

Top Words in Tweet in G9:
[25] sars
[25] cov
[24] let's
[24] revisit
[24] topic
[24] structural
[24] similarity
[24] between
[24] hiv
[24] gp41

Top Words in Tweet in G10:
[2] sars
[2] cov

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1006] sars,cov
[128] ba,12
[93] covid,19
[71] cov,sars
[70] story,late
[70] late,winter
[70] winter,2004
[70] 2004,caught
[70] caught,nasty
[70] perhaps,sars

Top Word Pairs in Tweet in G1:
[133] sars,cov
[24] cov,sars
[20] keithev84928885,jhas5
[20] jhas5,jikkyleaks
[20] jikkyleaks,biophysicsfl
[20] biophysicsfl,jjcouey
[14] innominata_,keithev84928885
[11] cov,chimeric
[11] chimeric,viruses
[11] viruses,resulting

Top Word Pairs in Tweet in G2:
[70] sars,cov
[69] story,late
[69] late,winter
[69] winter,2004
[69] 2004,caught
[69] caught,nasty
[69] perhaps,sars
[69] cov,perhaps
[68] frozen,story
[68] nasty,virusâ

Top Word Pairs in Tweet in G3:
[107] sars,cov
[16] ãƒ,ãƒ
[9] cov,sars
[6] covid,19
[6] mers,cov
[4] ç,ç
[4] rmva,expresa
[4] expresa,proteína
[4] animales,control
[3] cov,infection

Top Word Pairs in Tweet in G4:
[128] ba,12
[64] 12,belki
[64] belki,birileri
[64] birileri,yine
[64] yine,bi
[64] bi,diyecek
[64] diyecek,birileri
[64] birileri,kızacak
[64] kızacak,bana
[64] bana,ama

Top Word Pairs in Tweet in G5:
[62] sars,cov
[28] tomasoantonacci,thread
[21] thread,liens
[21] liens,microbiote
[21] microbiote,infections
[21] infections,sars
[21] cov,notamment
[21] notamment,prã
[21] prã,venir
[20] venir,proâ

Top Word Pairs in Tweet in G6:
[60] covid,19
[31] sars,cov
[30] dossier,très
[30] très,complet
[30] complet,inserm
[30] inserm,covid
[30] 19,auquel
[30] auquel,avons
[30] avons,participé
[30] participé,pr

Top Word Pairs in Tweet in G7:
[28] sars,cov
[16] datos,sugieren
[15] leer,nuestros
[15] nuestros,datos
[15] sugieren,vacunación
[14] dr,alarcos
[14] alarcos,año
[14] año,2004
[14] 2004,estaba
[14] estaba,diseñando

Top Word Pairs in Tweet in G8:
[18] county,stopped
[18] stopped,weekly
[18] weekly,reporting
[18] reporting,cases
[18] cases,back
[18] back,beginning
[18] beginning,april
[18] april,sure
[18] sure,really
[18] really,helpful

Top Word Pairs in Tweet in G9:
[25] sars,cov
[24] let's,revisit
[24] revisit,topic
[24] topic,structural
[24] structural,similarity
[24] similarity,between
[24] between,hiv
[24] hiv,gp41
[24] gp41,sars
[24] cov,s2

Top Word Pairs in Tweet in G10:
[2] sars,cov

Top Replied-To
Top Replied-To in Entire Graph:
@keithev84928885
@cd57227
@ayjchan
@paolaro48061828
@cnnee
@acritschristoph
@jg40851122
@claudiarose1212
@gab_h_r
@alice01055422

Top Replied-To in G1:
@keithev84928885
@cd57227
@acritschristoph
@capitolsheila
@mrsmith2washgtn
@tony_vandongen
@breakfast_dogs
@danwalker9999
@gdemaneuf
@biophysicsfl

Top Replied-To in G5:
@danaparish
@manonjardou

Top Replied-To in G6:
@mariepoppinssss

Top Replied-To in G7:
@agenda2030_
@crissmosp

Top Replied-To in G8:
@lakshmi_rkg
@itosettimd_mba
@derdrpappa
@lisa_iannattone

Top Replied-To in G10:
@forhangovers

Top Mentioned
Top Mentioned in Entire Graph:
@frozen
@traderat12
@tomasoantonacci
@inserm
@daoyu15
@nathanpsmad
@jikkyleaks
@innominata_
@kathmlee1
@biophysicsfl

Top Mentioned in G1:
@daoyu15
@jikkyleaks
@innominata_
@biophysicsfl
@jhas5
@jjcouey
@keithev84928885
@charlesrixey
@rossana38510044
@ydeigin

Top Mentioned in G2:
@frozen

Top Mentioned in G3:
@janeintj
@cxoherald
@llosauro
@onriedo16

Top Mentioned in G4:
@traderat12

Top Mentioned in G5:
@tomasoantonacci
@monarahalkar
@h_sokol
@0bj3ctivity
@pg1370450732
@danaparish
@frozen
@daoyu15
@michaelbathurst
@tom

Top Mentioned in G6:
@inserm
@nathanpsmad
@sonic_urticant
@lemondefr

Top Mentioned in G7:
@adaveen4
@polityzen
@agenda2030_
@nuestrochile1
@ministeriosalud
@begoyarza

Top Mentioned in G8:
@chargrille
@eckerleisabella
@drneilstone
@lisa_iannattone
@macroliter
@mompedblog
@botaintensiv
@doc_ecmo
@itosettimd_mba

Top Mentioned in G9:
@kathmlee1
@janiesaysyay

Top Mentioned in G10:
@deborah19952002
@jenn_leah13
@nayright12
@carmel_prescott
@ellaroselamont1
@gnomepigface
@nico250520
@lorechronicles
@masalafry69
@brentleetv

Top Tweeters
Top Tweeters in Entire Graph:
@_redfrog
@delta
@katcapps
@_yvonneburton
@schfess
@gesanda
@paulpaul49
@demiurgotuiter
@raeganlady
@zerohedge

Top Tweeters in G1:
@_yvonneburton
@raeganlady
@annika1021
@lissnup
@capalutwit
@theatlantic
@sheenaparish
@google
@bucmon21
@mbalter

Top Tweeters in G2:
@ameliaaber
@alva1588
@stutterloudly
@jeannemile13
@elysianhue
@abundantlanduse
@mbakunin88
@drkashton42
@bearlymade_it
@djammurray

Top Tweeters in G3:
@myjournals
@mrmnft
@onriedo16
@soyguaregua
@johnnosta
@deskprotestor
@renesugar
@yucatanahora
@v_27snail
@controlcivicoco

Top Tweeters in G4:
@ndusgun
@nrdninan
@yetyas
@hulyad14
@yasmincicek34
@makbule6134
@mustafacvs4
@ya_hak
@fatoay7
@___aylin_

Top Tweeters in G5:
@paulpaul49
@saraart4
@michaelbathurst
@sochalila
@dmrmay
@mounibtayeb
@harpyimages
@lethiecv
@suejack41372586
@snake_eyes11_11

Top Tweeters in G6:
@_redfrog
@lemondefr
@roxane66
@tymaou7
@patjdp
@nacrespirale
@it_bzh
@natschirvel
@alexa2b74
@seon47608275

Top Tweeters in G7:
@gesanda
@virario3
@marimarher
@ministeriosalud
@magda62701879
@mav_erick2
@elgatoc92358818
@mayraborri
@luzzzzx
@joaquindiazruiz

Top Tweeters in G8:
@katcapps
@chloepoliticat
@scott_squires
@chargrille
@adigunpolack
@chumes_
@flogwarrior
@sallynjack96
@iloveuallso2
@natsgirl12

Top Tweeters in G9:
@nick29433777
@ryttah70
@rr_mandy
@justeduardod
@takashimichaels
@for_options
@gkcfan21
@bakelso
@rosariop70
@kathmlee1

Top Tweeters in G10:
@carmel_prescott
@masalafry69
@boldee101
@nayright12
@deborah19952002
@josefkalfsgran
@stevenwilson777
@dippydappyduck
@jenn_leah13
@io83mzero


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