SARS-COV, Twitter, 3/18/2022 10:08:24 AM, 273179


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SARS-COV_2022-03-18_02-18-02.xlsx
SARS-COV_2022-03-18_02-18-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 18, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/363nX5N
@niusmarco
@michaelbathurst
@f250roush
@hahagentherapie
@maxdelvallee
@mholkers
@aboutindia
@charlesrixey
@gerby1971
@daoyu15

Top hashtags:
#covid19
#covid
#eu4s
#townhall
#coronavirus
#sarscov2
#omicron
#dyk
#كورونا

Description:
Description
The graph represents a network of 2,094 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 Friday, 18 March 2022 at 09:19 UTC.

The requested start date was Friday, 18 March 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, 47-minute period from Friday, 04 March 2022 at 01:11 UTC to Thursday, 17 March 2022 at 10:58 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 : 2094
Unique Edges : 1193
Edges With Duplicates : 2476
Total Edges : 3669
Number of Edge Types : 5
Retweet : 1031
MentionsInRetweet : 1400
Replies to : 282
Mentions : 713
Tweet : 243
Self-Loops : 252
Reciprocated Vertex Pair Ratio : 0.0112201963534362
Reciprocated Edge Ratio : 0.0221914008321775
Connected Components : 351
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 731
Maximum Edges in a Connected Component : 1670
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.945286
Graph Density : 0.000493526655230903
Modularity : 0.579465
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,094 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 Friday, 18 March 2022 at 09:19 UTC.

The requested start date was Friday, 18 March 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, 47-minute period from Friday, 04 March 2022 at 01:11 UTC to Thursday, 17 March 2022 at 10:58 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:
[6] https://zenodo.org/record/5778318#.YiLTqSQ3uEf
[4] https://m-cam.com/wp-content/uploads/2020/04/20200403_SARS_CoV_Patent_Corpus_Lit_Review.pdf
[4] https://pubmed.ncbi.nlm.nih.gov/34111775/
[3] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272837
[2] https://www.news-medical.net/news/20220316/Post-COVID-condition-largely-due-to-SARS-CoV-2-infection-in-addition-to-the-indirect-pandemic-effects.aspx?utm_source=dlvr.it&utm_medium=twitter
[2] https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC7141560/
[2] https://archive.ph/eiWvH
[2] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272906
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272642

Top URLs in Tweet in G1:
[1] https://www.medrxiv.org/content/10.1101/2020.09.25.20200329v1.full.pdf
[1] https://www.sciencedirect.com/science/article/pii/S0166128004001241#FIG4
[1] https://www.sciencedirect.com/science/article/pii/S0006291X04015566?via%3Dihub
[1] https://twitter.com/Hope56568200/status/1501314600893095949

Top URLs in Tweet in G2:
[6] https://zenodo.org/record/5778318#.YiLTqSQ3uEf
[3] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272837
[2] https://archive.ph/eiWvH
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272906
[2] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=272642
[1] https://pubmed.ncbi.nlm.nih.gov/17314167/
[1] https://virological.org/t/analysis-of-wuhan-coronavirus-deja-vu/357/4
[1] https://twitter.com/tony_vandongen/status/1503149365082341376?s=20&t=BBhEzr3279CyJ5P6lj8tzA
[1] https://zenodo.org/record/5702700#.YiptUSQ3uEf
[1] https://archive.ph/sDLTq

Top URLs in Tweet in G3:
[2] https://www.biorxiv.org/content/10.1101/2022.03.03.482731v1?rss=1
[2] https://www.researchsquare.com/article/rs-1274042/v1
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-022-04569-5
[2] https://www.news-medical.net/news/20220316/Post-COVID-condition-largely-due-to-SARS-CoV-2-infection-in-addition-to-the-indirect-pandemic-effects.aspx?utm_source=dlvr.it&utm_medium=twitter
[1] https://www.fiercebiotech.com/biotech/astrazeneca-sanofi-reveal-mixed-hand-high-stakes-rsv-game-hospitalization-miss-tarnishing
[1] https://www.njctw.com/
[1] http://NJCTW.COM
[1] https://www.njctw.com/2022/03/hiclover-medical-facility-medical-waste-heater-in-stock-for-2019-ncov-sars-cov-sars-coronavirus-unique-coronavirus/
[1] http://www.hiclover.com
[1] http://www.incinerator.info

Top URLs in Tweet in G4:
[1] https://twitter.com/drsimonegold/status/1501633431066849281

Top URLs in Tweet in G8:
[1] https://www.youtube.com/watch?v=KQ-mxGPJ3Ak&feature=youtu.be

[1] https://twitter.com/raoult_didier/status/1499386210460086273

Top URLs in Tweet in G10:
[2] https://twitter.com/KathMLee1/status/1486811926332071945
[1] https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC7141560/
[1] https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1006099

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[8] covid19
[7] covid
[6] eu4s
[6] townhall
[6] coronavirus
[4] sarscov2
[4] omicron
[3] dyk
[3] كورونا
[3] vitamind



Top Hashtags in Tweet in G2:
[4] covid19
[4] covid
[4] coronavirus
[4] sarscov2
[4] omicron
[3] كورونا
[2] delasemana
[1] ek1c4
[1] shoutmgb
[1] thegreatreset

Top Hashtags in Tweet in G3:
[3] covid19
[2] covid
[1] biorxiv_micrbio
[1] coronavirus
[1] mecfs
[1] pwme
[1] longcovid
[1] brasileiroraiz
[1] mondaythoughts
[1] montag

Top Hashtags in Tweet in G7:
[1] passvaccinal

Top Words
Top Words in Tweet in Entire Graph:
[1574] sars
[1205] cov
[691] ils
[366] hiv
[358] 2004
[353] niusmarco
[352] sont
[347] faut
[345] font
[344] fous

Top Words in Tweet in G1:
[662] ils
[335] sars
[332] hiv
[331] 2004
[331] faut
[331] arrêter
[331] mecs
[331] sont
[331] fous
[331] font

Top Words in Tweet in G2:
[79] sars
[75] cov
[41] charlesrixey
[40] back
[33] tony_vandongen
[25] time
[24] first
[21] gallaher
[20] go
[20] future

Top Words in Tweet in G3:
[217] sars
[212] cov
[32] η
[24] virus
[18] coronavirus
[16] εξέλιξη
[16] των
[16] νέων
[16] μολύνσεων
[16] στις

Top Words in Tweet in G4:
[166] 18
[166] jahre
[83] sars
[83] cov
[83] patienten
[83] durchgemachter
[83] infektion
[83] nachweißlich
[83] immunantwort
[82] erzengelheiner

Top Words in Tweet in G5:
[9] sars
[5] cov
[4] adevotedyogi
[3] sequence
[3] rtheatheist
[3] thecrystalbrian
[3] burgerlab12
[3] bebert701
[3] lockkerrup
[3] thefrankmanmn

Top Words in Tweet in G6:
[18] sars
[18] cov
[11] bij
[11] dat
[7] reusvisser
[6] hahagentherapie
[6] hcov
[5] zijn
[5] ook
[5] niet

Top Words in Tweet in G7:
[122] face
[73] sars
[70] cov
[68] maxdelvallee
[63] france
[61] 2027
[61] fait
[61] sa
[61] 21e
[61] vague

Top Words in Tweet in G8:
[57] sars
[57] cov
[55] action
[55] pegi
[55] 12
[55] qi
[55] 180
[54] procto_log
[30] âœ
[2] votre

Top Words in Tweet in G9:
[2] raulmena70
[2] georginaubaldo1
[2] rochesvars
[2] todoxnada2
[2] elench0rizador
[2] morozi
[2] nnunezortiz
[2] lic12rosio
[2] henrykasarq
[2] virus

Top Words in Tweet in G10:
[41] sars
[41] cov
[39] early
[39] 2020
[39] researchers
[39] monash
[39] university
[39] found
[39] ivermectin
[39] inhibit

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1154] sars,cov
[348] hiv,sars
[345] ils,sont
[343] 2004,faut
[343] faut,arrêter
[343] arrêter,mecs
[343] mecs,ils
[343] sont,fous
[343] fous,ils
[343] ils,font

Top Word Pairs in Tweet in G1:
[331] 2004,faut
[331] faut,arrêter
[331] arrêter,mecs
[331] mecs,ils
[331] ils,sont
[331] sont,fous
[331] fous,ils
[331] ils,font
[331] font,hiv
[331] hiv,sars

Top Word Pairs in Tweet in G2:
[71] sars,cov
[20] time,go
[20] go,back
[20] back,future
[20] future,tony_vandongen
[20] tony_vandongen,back
[20] back,bill
[20] bill,gallaher
[20] gallaher,first
[20] first,described

Top Word Pairs in Tweet in G3:
[198] sars,cov
[16] η,εξέλιξη
[16] εξέλιξη,των
[16] των,νέων
[16] νέων,μολύνσεων
[16] μολύνσεων,sars
[16] cov,στις
[16] 2022,πανελλαδικά
[16] πανελλαδικά,η
[16] η,πλήρης

Top Word Pairs in Tweet in G4:
[166] 18,jahre
[83] sars,cov
[83] cov,patienten
[83] patienten,18
[83] jahre,durchgemachter
[83] durchgemachter,infektion
[83] infektion,nachweißlich
[83] nachweißlich,immunantwort
[83] immunantwort,18
[82] erzengelheiner,sars

Top Word Pairs in Tweet in G5:
[5] sars,cov
[3] groin_hammer,martinturnbul19
[3] andylumm,twococonuthusks
[3] twococonuthusks,moy_barry
[3] moy_barry,temple_surly
[3] wjack76995,tierrahenson
[3] tierrahenson,justplaying2win
[3] justplaying2win,noel82002324
[3] noel82002324,shared_facts
[3] shared_facts,mrobovsky

Top Word Pairs in Tweet in G6:
[15] sars,cov
[4] bij,sars
[4] stokstef,hahagentherapie
[4] jhn_steen,mholkers
[4] mholkers,reusvisser
[3] edward_wouters,erikcumps
[3] erikcumps,janssenjh
[3] janssenjh,stokstef
[3] hahagentherapie,jhn_steen
[2] cov,strengen

Top Word Pairs in Tweet in G7:
[70] sars,cov
[61] 2027,france
[61] france,fait
[61] fait,face
[61] face,sa
[61] sa,21e
[61] 21e,vague
[61] vague,covid
[61] covid,sars
[61] cov,variant

Top Word Pairs in Tweet in G8:
[57] sars,cov
[55] cov,action
[55] action,pegi
[55] pegi,12
[55] qi,180
[54] procto_log,sars
[30] 12,âœ
[30] âœ,qi
[25] 12,qi

Top Word Pairs in Tweet in G9:
[2] raulmena70,georginaubaldo1
[2] georginaubaldo1,rochesvars
[2] rochesvars,todoxnada2
[2] todoxnada2,elench0rizador
[2] elench0rizador,morozi
[2] morozi,nnunezortiz
[2] nnunezortiz,lic12rosio
[2] lic12rosio,henrykasarq

Top Word Pairs in Tweet in G10:
[41] sars,cov
[39] early,2020
[39] 2020,researchers
[39] monash,university
[39] university,found
[39] found,ivermectin
[39] ivermectin,inhibit
[39] inhibit,sars
[39] cov,taken
[38] aboutindia,early

Top Replied-To
Top Replied-To in Entire Graph:
@sanchak74
@radsci
@edward_wouters
@elray67
@reusvisser
@user3425664
@tony_vandongen
@alice07788382
@k_g_andersen
@fwolf96

Top Replied-To in G1:
@banounhelene

Top Replied-To in G2:
@tony_vandongen
@user3425664
@peaseroland
@samuel_gregson
@tylernstarr
@philippmarkolin
@humblesci
@maiahibbett
@chuckpaulen
@fallenigloos

Top Replied-To in G5:
@newoinl
@rtheatheist
@burgerlab12
@alex_on_a14
@anti_dystopian

Top Replied-To in G6:
@edward_wouters
@reusvisser
@dirkvan72068758
@ingridvermeule6
@robertgroenen
@janssenjh
@geelenjoris
@marcoklompx
@livlavlovely
@jacobvisser8

Top Replied-To in G8:
@wargonm
@rplucas29760

Top Replied-To in G9:
@raulmena70

Top Mentioned
Top Mentioned in Entire Graph:
@niusmarco
@erzengelheiner
@maxdelvallee
@procto_log
@charlesrixey
@aboutindia
@drscheuch
@tony_vandongen
@gerby1971
@daoyu15

Top Mentioned in G1:
@niusmarco

Top Mentioned in G2:
@charlesrixey
@tony_vandongen
@daoyu15
@niusmarco
@r_h_ebright
@jikkykjj
@ayjchan
@banounhelene
@deinertdoc
@ydeigin

Top Mentioned in G3:
@rafaelrafel3
@dronico
@papichdaniel

Top Mentioned in G4:
@erzengelheiner

Top Mentioned in G5:
@adevotedyogi
@thecrystalbrian
@bebert701
@lockkerrup
@thefrankmanmn
@mcfunny
@chrisjohnsonmd
@artyshouse
@carlsmythe
@jcdeardeuff

Top Mentioned in G6:
@hahagentherapie
@erikcumps
@jhn_steen
@reusvisser
@janssenjh
@stokstef
@mholkers
@marc_veld
@thierrybaudet
@dcsz14

Top Mentioned in G7:
@maxdelvallee
@niusmarco

Top Mentioned in G8:
@procto_log

Top Mentioned in G9:
@georginaubaldo1
@rochesvars
@todoxnada2
@elench0rizador
@morozi
@nnunezortiz
@lic12rosio
@henrykasarq
@mariabasurtoga1
@raulmena70

Top Mentioned in G10:
@aboutindia
@thecnner
@janiesaysyay

Top Tweeters
Top Tweeters in Entire Graph:
@crweworld
@altai_armande
@torreon
@madrynha2012
@kulturbolschewi
@heidiec5
@bfmtv
@redeemedseven
@fleur2108
@brasil_acabou

Top Tweeters in G1:
@altai_armande
@fleur2108
@yvespdb
@lauracarrese
@alek_aloha
@philippecombaut
@pradier_marc
@gmirlt
@mydaphne
@anne_morantin

Top Tweeters in G2:
@madrynha2012
@shoutmgb
@vicmahec
@saraart4
@michaelbathurst
@12fv123
@biorealism
@conservjean
@frankdelia7
@samza_zaza

Top Tweeters in G3:
@crweworld
@torreon
@criteriohidalgo
@sporadestv
@myjournals
@contrareplicamx
@giovannidalloli
@prisma916
@davidcranmerun1
@loutrakiodusse

Top Tweeters in G4:
@artep21
@beltschazzara
@hausfrau4ever
@panpagan
@teite99
@jane_banane__
@sifuroyschirdew
@real_tlacatl
@koyamamichi
@braungardtr

Top Tweeters in G5:
@adevotedyogi
@wjack76995
@tracymmpohill
@mcfunny
@carlsmythe
@alex_on_a14
@takethatchem
@artyshouse
@pawley_robert
@andylumm

Top Tweeters in G6:
@obraeckenssieck
@olifant
@njmidm
@mholkers
@marc_veld
@rianne19701114
@ingestolkenburg
@i_poisonivy_i
@dcsz14
@hahagentherapie

Top Tweeters in G7:
@julien0686
@tns15
@punchymcgeect
@jaunesandy
@atriluw
@whitelinealex
@benben_bo
@nadasto
@algomas90940405
@molinari14

Top Tweeters in G8:
@docarnica
@julllietteb
@didiermisson
@lauredemontalem
@mick_351
@guipascanet
@roxane66
@benico007
@wargonm
@fzores

Top Tweeters in G9:
@carmen_mmxm
@easygentle
@coronaoso
@100_espana
@itta76728784
@aleb1808
@raulmena70
@mamaguzo
@laugonzalezmx
@carla_ponti

Top Tweeters in G10:
@terajits
@angryyoungman55
@trdisoprtr
@prasadhemant
@das_varun99
@oldengold
@wtf_1234567890a
@sanjaysmehta
@k2roooka
@pradeepr1981


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