SARS-COV, Twitter, 5/9/2022 10:33:55 AM, 275913


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SARS-COV_2022-05-09_02-45-01.xlsx
SARS-COV_2022-05-09_02-45-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 09, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/3vTGvPW
@0bj3ctivity
@pg1370450732
@danaparish
@monarahalkar
@frozen
@daoyu15
@tomasoantonacci
@scrambu11
@jt_grindrod
@oldboatie

Top hashtags:
#sarscov2
#covid19
#vaccine
#pandemic
#mers
#covidisairborne
#英国肝炎
#blogpay
#covid

Description:
Description
The graph represents a network of 1,488 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 Monday, 09 May 2022 at 09:46 UTC.

The requested start date was Monday, 09 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 13-day, 9-hour, 44-minute period from Monday, 25 April 2022 at 01:51 UTC to Sunday, 08 May 2022 at 11:35 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 : 1488
Unique Edges : 878
Edges With Duplicates : 1767
Total Edges : 2645
Number of Edge Types : 5
Replies to : 298
Mentions : 599
Tweet : 192
Retweet : 652
MentionsInRetweet : 904
Self-Loops : 211
Reciprocated Vertex Pair Ratio : 0.0115646258503401
Reciprocated Edge Ratio : 0.0228648285137861
Connected Components : 292
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 464
Maximum Edges in a Connected Component : 1348
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.333148
Graph Density : 0.000672043010752688
Modularity : 0.558353
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,488 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 Monday, 09 May 2022 at 09:46 UTC.

The requested start date was Monday, 09 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 13-day, 9-hour, 44-minute period from Monday, 25 April 2022 at 01:51 UTC to Sunday, 08 May 2022 at 11:35 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://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275512
[6] https://www.sciencedirect.com/science/article/pii/S0092867422001945
[5] https://www.news-medical.net/news/20211101/Alteration-in-gut-microbiome-may-lead-to-hyperinflammation-in-severe-COVID-19.aspx?fbclid=IwAR0ene82If5PhLOebTitRhu7IqPTBFmFykh_ZmFfI0dDIXvOeKAqR2jSgDQ
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002747/#:~:text=SARS%2DCoV%20originated%20in,1%2C5%5D
[3] 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
[3] https://pubmed.ncbi.nlm.nih.gov:443/16035944/
[3] https://pubmed.ncbi.nlm.nih.gov/16035944/
[3] https://lecourrierdesstrateges.fr/2022/02/11/helene-banoun-tous-ces-indices-qui-concordent-sur-une-origine-humaine-du-covid-19/
[3] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-021-01557-z
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/

Top URLs in Tweet in G1:
[1] https://twitter.com/0bj3ctivity/status/1515106666878054400?t=G8ykgWfxYZHTBgVbBMqUWg&s=19
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7165792/
[1] https://twitter.com/0bj3ctivity/status/1519550450311307264?t=Y5F-t7qkk1Th6vb7PgxYGQ&s=19
[1] https://twitter.com/michael_hoerger/status/1519779816807051265

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

Top URLs in Tweet in G3:
[2] https://marlin-prod.literatumonline.com/cms/attachment/1fe04d2c-d7bd-4623-83fe-0ddb9e69f658/gr1.jpg
[2] https://m-cam.com/wp-content/uploads/2020/04/20200403_SARS_CoV_Patent_Corpus_Lit_Review.pdf
[2] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618
[2] https://pubmed.ncbi.nlm.nih.gov/17037604/
[1] https://en.wikipedia.org/wiki/2,4-Dichlorobenzyl_alcohol
[1] https://twitter.com/FluTrackers/status/1519011762984693762
[1] https://twitter.com/minsaludcol/status/1519063232434126848
[1] https://twitter.com/choquei/status/1519145555238211587
[1] https://www.cbc.ca/news/health/liver-disease-mystery-1.6431872
[1] https://www.biorxiv.org/content/10.1101/2022.04.22.489083v1

Top URLs in Tweet in G4:
[8] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=275512
[6] https://www.sciencedirect.com/science/article/pii/S0092867422001945
[3] https://lecourrierdesstrateges.fr/2022/02/11/helene-banoun-tous-ces-indices-qui-concordent-sur-une-origine-humaine-du-covid-19/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092861/?report=reader#!po=55.2083
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111780/#!po=33.5714
[1] https://pubmed.ncbi.nlm.nih.gov:443/27269431/
[1] https://www.sciencedirect.com/science/article/abs/pii/0090122982901386
[1] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3335060/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3209347/

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/
[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://twitter.com/nikomer75/status/1507848081349529610
[1] https://twitter.com/nikomer75/status/1520532214689288192
[1] https://twitter.com/nikomer75/status/1518600786846093312

Top URLs in Tweet in G7:
[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://twitter.com/garyruskin/status/1521564630308454406
[1] https://twitter.com/andrewtanyongyi/status/1518231656637034496?s=20&t=V8HqSQL7Yp3TXOEoWCFbJg
[1] https://www.pnas.org/doi/abs/10.1073/pnas.0809524106
[1] https://academic.oup.com/mbe/article/39/1/msab292/6382323
[1] https://pubmed.ncbi.nlm.nih.gov/20335495/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[1] https://www.propublica.org/article/near-misses-at-unc-chapel-hills-high-security-lab-illustrate-risk-of-accidents-with-coronaviruses

Top Domains
Top Domains in Tweet in Entire Graph:
[51] twitter.com
[43] nih.gov
[10] news-medical.net
[8] sciencedirect.com
[8] nodexlgraphgallery.org
[6] nature.com
[6] biorxiv.org
[5] youtube.com
[4] frontiersin.org
[4] maghreb-post.de

Top Domains in Tweet in G1:
[3] twitter.com
[1] nih.gov

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

Top Domains in Tweet in G3:
[16] twitter.com
[7] nih.gov
[4] biorxiv.org
[2] literatumonline.com
[2] m-cam.com
[2] ne.jp
[1] wikipedia.org
[1] cbc.ca
[1] madrid.org
[1] analisiscolima.com

Top Domains in Tweet in G4:
[9] nih.gov
[8] nodexlgraphgallery.org
[7] sciencedirect.com
[5] twitter.com
[3] lecourrierdesstrateges.fr
[2] nature.com
[1] google.com
[1] archive.ph
[1] creative-biostructure.com
[1] virological.org

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

Top Domains in Tweet in G6:
[3] twitter.com

Top Domains in Tweet in G7:
[2] federalregister.gov
[2] twitter.com
[1] pnas.org
[1] oup.com
[1] nih.gov
[1] nature.com
[1] propublica.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[14] sarscov2
[9] covid19
[8] vaccine
[7] pandemic
[5] mers
[5] covidisairborne
[4] 英国肝炎
[3] blogpay
[3] covid
[3] longcovid



Top Hashtags in Tweet in G1:
[5] covidisairborne

Top Hashtags in Tweet in G3:
[2] covid19
[2] covid
[1] votefordout2022
[1] lifesciences
[1] biotechnology
[1] genetics
[1] science
[1] food
[1] hepatitis
[1] cdnpoli

Top Hashtags in Tweet in G4:
[2] sarscov2
[2] moderna
[2] vacinacovid
[2] covid19
[2] longsars
[2] variant

Top Hashtags in Tweet in G5:
[2] longcovid
[2] covidlong
[1] aprã¨sj20
[1] afterj20

Top Words
Top Words in Tweet in Entire Graph:
[1309] sars
[1263] cov
[202] perhaps
[140] virus
[129] 2004
[127] 2003
[119] patients
[118] hepatitis
[117] severe
[109] liver

Top Words in Tweet in G1:
[123] sars
[121] cov
[95] liver
[95] patients
[94] hepatitis
[94] impairment
[92] 0bj3ctivity
[92] 2003
[92] commonly
[92] reported

Top Words in Tweet in G2:
[196] perhaps
[107] frozen
[104] sars
[104] cov
[98] story
[98] late
[98] winter
[98] 2004
[98] caught
[98] nasty

Top Words in Tweet in G3:
[136] sars
[128] cov
[53] ãƒ
[32] ç
[22] æ
[14] virus
[11] ϋ
[10] spike
[10] covid
[10] 19

Top Words in Tweet in G4:
[102] sars
[101] cov
[27] daoyu15
[27] back
[19] tony_vandongen
[18] charlesrixey
[14] michaelbathurst
[14] time
[14] gallaher
[14] first

Top Words in Tweet in G5:
[61] sars
[61] cov
[48] tomasoantonacci
[39] microbiote
[37] lâ
[33] infections
[29] thread
[26] virus
[23] prã
[22] par

Top Words in Tweet in G6:
[87] sars
[77] cov
[32] available
[30] jt_grindrod
[30] china
[30] takes
[30] seriously
[30] saw
[30] information
[30] always

Top Words in Tweet in G7:
[59] cov
[57] sars
[15] ggronvall
[14] emmecola
[14] oscargenomics
[14] philippmarkolin
[14] angie_rasmussen
[14] k_g_andersen
[13] ydeigin
[12] pathogenetics

Top Words in Tweet in G8:
[2] sars
[2] cov

Top Words in Tweet in G9:
[21] patrick_baud
[21] sars
[21] cov
[17] geniezetet

Top Words in Tweet in G10:
[22] sprepsils
[22] deactivate
[22] sars
[22] cov
[21] maxzorin17

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1193] sars,cov
[108] cov,2003
[104] liver,impairment
[102] hepatitis,sars
[102] 2003,liver
[102] impairment,commonly
[102] commonly,reported
[102] reported,60
[102] 60,patients
[102] patients,suffer

Top Word Pairs in Tweet in G1:
[120] sars,cov
[94] liver,impairment
[92] hepatitis,sars
[92] cov,2003
[92] 2003,liver
[92] impairment,commonly
[92] commonly,reported
[92] reported,60
[92] 60,patients
[92] patients,suffer

Top Word Pairs in Tweet in G2:
[104] sars,cov
[98] story,late
[98] late,winter
[98] winter,2004
[98] 2004,caught
[98] caught,nasty
[98] nasty,virusâ
[98] virusâ,perhaps
[98] perhaps,sars
[98] cov,perhaps

Top Word Pairs in Tweet in G3:
[119] sars,cov
[27] ãƒ,ãƒ
[9] cov,sars
[8] covid,19
[6] mers,cov
[6] ç,ç
[5] cov,infection
[4] against,sars
[4] cov,variants
[4] receptor,binding

Top Word Pairs in Tweet in G4:
[99] sars,cov
[16] cov,sars
[13] time,go
[13] go,back
[13] back,future
[13] future,tony_vandongen
[13] tony_vandongen,back
[13] back,bill
[13] bill,gallaher
[13] gallaher,first

Top Word Pairs in Tweet in G5:
[61] sars,cov
[27] 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:
[77] sars,cov
[30] china,takes
[30] takes,sars
[30] cov,seriously
[30] seriously,saw
[30] saw,sars
[30] cov,information
[30] information,always
[30] always,available
[29] jt_grindrod,china

Top Word Pairs in Tweet in G7:
[47] sars,cov
[14] philippmarkolin,angie_rasmussen
[14] angie_rasmussen,ggronvall
[14] ggronvall,k_g_andersen
[13] oscargenomics,philippmarkolin
[11] cov,sars
[10] sarsr,cov
[8] cov,chimeric
[8] chimeric,viruses
[8] viruses,resulting

Top Word Pairs in Tweet in G8:
[2] sars,cov

Top Word Pairs in Tweet in G9:
[21] sars,cov
[20] patrick_baud,sars
[17] geniezetet,patrick_baud

Top Word Pairs in Tweet in G10:
[22] sprepsils,deactivate
[22] deactivate,sars
[22] sars,cov
[21] maxzorin17,sprepsils

Top Replied-To
Top Replied-To in Entire Graph:
@emanymton90
@keithev84928885
@ydeigin
@pathogenetics
@torontostar
@cd57227
@jg40851122
@claudiarose1212
@gab_h_r
@acritschristoph

Top Replied-To in G1:
@microbiowil
@crystalmundypsy
@kutiez2012
@elisaperego78
@_vakatseite
@njbbari3
@stefaniaconti
@birthwing
@jeffturneryvr

Top Replied-To in G4:
@emanymton90
@cd57227
@pathogenetics
@tony_vandongen
@vaxine_news
@whereisyanling
@biophysicsfl
@trishthedish_7
@ayjchan
@john37866

Top Replied-To in G5:
@manonjardou
@gillesthoni

Top Replied-To in G6:
@nikomer75
@melsyj
@krushcovid

Top Replied-To in G7:
@ydeigin
@pathogenetics
@vbruttel
@acritschristoph
@forrest_phd
@emmecola
@ggronvall
@rossana38510044

Top Replied-To in G8:
@forhangovers

Top Replied-To in G9:
@patrick_baud
@sarah_de_rissi

Top Mentioned
Top Mentioned in Entire Graph:
@frozen
@0bj3ctivity
@tomasoantonacci
@biophysicsfl
@jt_grindrod
@daoyu15
@jikkyleaks
@jhas5
@jjcouey
@maxzorin17

Top Mentioned in G1:
@0bj3ctivity
@elisaperego78
@njbbari3
@rwlens
@eccmid
@holly4kj
@freichert667
@mabsoud
@mugecevik
@rickcrawf

Top Mentioned in G2:
@frozen
@0bj3ctivity

Top Mentioned in G3:
@aaggagat1
@hamagikukai
@peterstwit77
@xcsvy
@llosauro
@onriedo16

Top Mentioned in G4:
@daoyu15
@charlesrixey
@tony_vandongen
@pathogenetics
@biophysicsfl
@ricketrob
@cstrateges
@michaelbathurst
@twococonuthusks
@krieger66362259

Top Mentioned in G5:
@tomasoantonacci
@h_sokol
@manonjardou
@0bj3ctivity
@gillesthoni

Top Mentioned in G6:
@jt_grindrod
@nikomer75
@frozen
@atomskssanakan
@gorskon
@michigan_noah
@denovo_fatima
@rschillingny
@drericding
@johnshopkins

Top Mentioned in G7:
@oscargenomics
@philippmarkolin
@angie_rasmussen
@ggronvall
@k_g_andersen
@emmecola
@pathogenetics
@rossana38510044
@ydeigin
@andrewtanyongyi

Top Mentioned in G8:
@deborah19952002
@jenn_leah13
@nayright12
@carmel_prescott
@ellaroselamont1
@gnomepigface
@nico250520
@lorechronicles
@masalafry69
@brentleetv

Top Mentioned in G9:
@patrick_baud
@geniezetet

Top Mentioned in G10:
@maxzorin17

Top Tweeters
Top Tweeters in Entire Graph:
@delta
@vonrosenchild
@schfess
@argentinasoynsb
@pqpolitics
@paulpaul49
@plivestrong
@demiurgotuiter
@michael_kunz
@nytimes

Top Tweeters in G1:
@michael_kunz
@cara_txzeal
@sharrow_irl
@nowayjomo
@ayrshirebog
@martinremains
@noahtzedek
@kjgillenwater
@chrislancashir3
@benking01

Top Tweeters in G2:
@pqpolitics
@ameliaaber
@alva1588
@cassandranocov
@jchilton666
@daveunger3
@rki009
@stutterloudly
@connie_to1682
@jeannemile13

Top Tweeters in G3:
@planetsixstring
@myjournals
@mrmnft
@giovannidalloli
@onriedo16
@johnnosta
@yucatanahora
@v_27snail
@controlcivicoco
@alphonsus1975

Top Tweeters in G4:
@plivestrong
@raeganlady
@shoutmgb
@capalutwit
@michaelbathurst
@google
@planetes360
@isocard
@googlemaps
@smackenziekerr

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

Top Tweeters in G6:
@morbid_elation
@rioslade
@theboobla
@elenaturval
@maddestma
@ohioganja
@looneytunes03
@gorskon
@atomskssanakan
@rschillingny

Top Tweeters in G7:
@demiurgotuiter
@theatlantic
@bucmon21
@neilwmccabe2
@joshrosenau
@shangrila500
@macroliter
@emmecola
@masanpra
@angie_rasmussen

Top Tweeters in G8:
@carmel_prescott
@masalafry69
@boldee101
@nayright12
@deborah19952002
@josefkalfsgran
@stevenwilson777
@dippydappyduck
@jenn_leah13
@io83mzero

Top Tweeters in G9:
@alexsinnai
@qwanta137
@laverit9990
@magicgonzi
@earthkeaper
@ritoto94
@kastsofresh
@akamartchoin
@oeuf_du_futur
@bastteur

Top Tweeters in G10:
@jackcolleton
@backintdales
@itsjustaride
@pushpa67196868
@naramore_david
@ih8evrybdy
@munchki30314593
@pmcmuldrow
@_resist_tyranny
@bbcbreakingnewt


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