SARS-COV, Twitter, 3/20/2022 6:20:10 PM, 273332


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SARS-COV_2022-03-20_02-34-57.xlsx
SARS-COV_2022-03-20_02-34-57.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 20, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/37ES2c1
@niusmarco
@michaelbathurst
@maxdelvallee
@f250roush
@hahagentherapie
@mholkers
@charlesrixey
@gerby1971
@daoyu15
@terroiravie

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

Description:
Description
The graph represents a network of 2,027 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, 20 March 2022 at 09:36 UTC.

The requested start date was Sunday, 20 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 12-day, 10-hour, 39-minute period from Sunday, 06 March 2022 at 01:47 UTC to Friday, 18 March 2022 at 12:26 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 : 2027
Unique Edges : 1163
Edges With Duplicates : 2418
Total Edges : 3581
Number of Edge Types : 5
Tweet : 233
Replies to : 268
Mentions : 684
Retweet : 1008
MentionsInRetweet : 1388
Self-Loops : 243
Reciprocated Vertex Pair Ratio : 0.0129558541266795
Reciprocated Edge Ratio : 0.0255802936996684
Connected Components : 343
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 723
Maximum Edges in a Connected Component : 1675
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.916984
Graph Density : 0.000514037785064512
Modularity : 0.577217
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,027 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, 20 March 2022 at 09:36 UTC.

The requested start date was Sunday, 20 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 12-day, 10-hour, 39-minute period from Sunday, 06 March 2022 at 01:47 UTC to Friday, 18 March 2022 at 12:26 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.ncbi.nlm.nih.gov/pmc/articles/PMC4797993/
[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

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://journals.asm.org/doi/10.1128/JVI.80.9.4211-4219.2006?cookieSet=1
[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

Top URLs in Tweet in G4:
[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.contrareplica.mx/nota-Mexico-sumo-un-total-de-5-millones-563-mil-80-casos-por-Covid-19-y-319-mil-824-muertes-20225357
[1] https://twitter.com/sofiabiologista/status/981968913486569473
[1] https://pubmed.ncbi.nlm.nih.gov/35247068/
[1] https://criteriohidalgo.com/noticias/coronavirus/registran-86-nuevos-casos-positivos-covid-y-una-muerte-hidalgo?platform=hootsuite
[1] https://dx.doi.org/10.1101/2022.03.03.482731
[1] https://outbreaksci.prereview.org/
[1] https://www.geoengineeringwatch.org/pentagon-biological-weapons-program-never-ended-us-bio-labs-around-the-world/

Top URLs in Tweet in G5:
[1] https://twitter.com/drsimonegold/status/1501633431066849281

Top URLs in Tweet in G9:
[1] https://www.mdr.de/wissen/erkaeltungen-schnupfen-viren-sieben-tages-inzidenz-100.html

Top URLs in Tweet in G10:
[1] https://twitter.com/CapeTrutherTown/status/1500393353283842048

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] likeascientist
[1] ek1c4
[1] shoutmgb

Top Hashtags in Tweet in G3:
[1] passvaccinal

Top Hashtags in Tweet in G4:
[3] covid19
[2] covid
[1] coronavirus
[1] mecfs
[1] pwme
[1] longcovid
[1] brasileiroraiz
[1] mondaythoughts
[1] montag
[1] test

Top Words
Top Words in Tweet in Entire Graph:
[1507] sars
[1127] cov
[692] ils
[371] hiv
[355] 2004
[353] niusmarco
[352] sont
[347] faut
[345] font
[344] fous

Top Words in Tweet in G1:
[656] ils
[332] sars
[329] hiv
[328] 2004
[328] faut
[328] arrêter
[328] mecs
[328] sont
[328] fous
[328] font

Top Words in Tweet in G2:
[81] sars
[67] cov
[42] charlesrixey
[42] back
[34] tony_vandongen
[26] time
[25] first
[23] ayjchan
[22] gallaher
[21] go

Top Words in Tweet in G3:
[200] face
[118] sars
[112] cov
[110] maxdelvallee
[102] france
[100] 2027
[100] fait
[100] sa
[100] 21e
[100] vague

Top Words in Tweet in G4:
[206] sars
[203] cov
[28] η
[23] virus
[17] coronavirus
[14] εξέλιξη
[14] των
[14] νέων
[14] μολύνσεων
[14] στις

Top Words in Tweet in G5:
[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 G6:
[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 G7:
[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 G8:
[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 G9:
[69] inzidenz
[36] sars
[36] cov
[35] die
[34] einordnung
[34] jetzigen
[34] melde
[34] 1230
[34] meldung
[34] november

Top Words in Tweet in G10:
[31] natuurlijke
[31] immuniteit
[31] sars
[31] cov
[31] nog
[31] 18
[31] jaar
[31] versus
[31] elke
[31] maand

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1078] sars,cov
[349] 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:
[328] 2004,faut
[328] faut,arrêter
[328] arrêter,mecs
[328] mecs,ils
[328] ils,sont
[328] sont,fous
[328] fous,ils
[328] ils,font
[328] font,hiv
[328] hiv,sars

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

Top Word Pairs in Tweet in G3:
[112] sars,cov
[100] 2027,france
[100] france,fait
[100] fait,face
[100] face,sa
[100] sa,21e
[100] 21e,vague
[100] vague,covid
[100] covid,sars
[100] cov,variant

Top Word Pairs in Tweet in G4:
[188] sars,cov
[14] η,εξέλιξη
[14] εξέλιξη,των
[14] των,νέων
[14] νέων,μολύνσεων
[14] μολύνσεων,sars
[14] cov,στις
[14] 2022,πανελλαδικά
[14] πανελλαδικά,η
[14] η,πλήρης

Top Word Pairs in Tweet in G5:
[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 G6:
[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 G7:
[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 G8:
[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 G9:
[36] sars,cov
[34] einordnung,jetzigen
[34] jetzigen,sars
[34] cov,melde
[34] melde,inzidenz
[34] inzidenz,1230
[34] 1230,meldung
[34] meldung,november
[34] november,2021
[34] 2021,die

Top Word Pairs in Tweet in G10:
[31] natuurlijke,immuniteit
[31] immuniteit,sars
[31] sars,cov
[31] cov,nog
[31] nog,18
[31] 18,jaar
[31] jaar,versus
[31] versus,elke
[31] elke,maand
[31] maand,booster

Top Replied-To
Top Replied-To in Entire Graph:
@sanchak74
@radsci
@edward_wouters
@reusvisser
@user3425664
@tony_vandongen
@alice07788382
@fcouilbault1
@milgramdr
@hennefrieda

Top Replied-To in G1:
@banounhelene

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

Top Replied-To in G6:
@newoinl
@rtheatheist
@burgerlab12
@alex_on_a14
@anti_dystopian

Top Replied-To in G7:
@edward_wouters
@reusvisser
@dirkvan72068758
@ingridvermeule6
@robertgroenen
@janssenjh
@geelenjoris
@marcoklompx
@livlavlovely
@jacobvisser8

Top Replied-To in G8:
@raulmena70

Top Replied-To in G9:
@frankfurtzack

Top Mentioned
Top Mentioned in Entire Graph:
@niusmarco
@maxdelvallee
@erzengelheiner
@charlesrixey
@drscheuch
@tony_vandongen
@gerby1971
@ayjchan
@radbruch_lab
@violapriesemann

Top Mentioned in G1:
@niusmarco

Top Mentioned in G2:
@charlesrixey
@tony_vandongen
@ayjchan
@daoyu15
@niusmarco
@jikkykjj
@banounhelene
@deinertdoc
@ydeigin
@drkevinwmccair1

Top Mentioned in G3:
@maxdelvallee
@niusmarco

Top Mentioned in G4:
@rafaelrafel3
@dronico
@papichdaniel

Top Mentioned in G5:
@erzengelheiner

Top Mentioned in G6:
@adevotedyogi
@thecrystalbrian
@bebert701
@lockkerrup
@thefrankmanmn
@mcfunny
@chrisjohnsonmd
@artyshouse
@carlsmythe
@jcdeardeuff

Top Mentioned in G7:
@hahagentherapie
@erikcumps
@jhn_steen
@reusvisser
@janssenjh
@stokstef
@mholkers
@marc_veld
@thierrybaudet
@dcsz14

Top Mentioned in G8:
@georginaubaldo1
@rochesvars
@todoxnada2
@elench0rizador
@morozi
@nnunezortiz
@lic12rosio
@henrykasarq
@mariabasurtoga1
@raulmena70

Top Mentioned in G9:
@drscheuch
@norberthaering
@erzengelheiner

Top Mentioned in G10:
@gerby1971

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:
@4litanglilou67
@julien0686
@tns15
@punchymcgeect
@jaunesandy
@atriluw
@whitelinealex
@sgambfil
@benben_bo
@mtelaa

Top Tweeters in G4:
@crweworld
@torreon
@criteriohidalgo
@sporadestv
@myjournals
@contrareplicamx
@whotnaught
@prisma916
@davidcranmerun1
@tetoroa

Top Tweeters in G5:
@artep21
@beltschazzara
@hausfrau4ever
@panpagan
@teite99
@jane_banane__
@sifuroyschirdew
@real_tlacatl
@koyamamichi
@braungardtr

Top Tweeters in G6:
@adevotedyogi
@wjack76995
@tracymmpohill
@mcfunny
@alex_on_a14
@carlsmythe
@takethatchem
@artyshouse
@pawley_robert
@swaledalemutton

Top Tweeters in G7:
@obraeckenssieck
@olifant
@njmidm
@mholkers
@marc_veld
@rianne19701114
@ingestolkenburg
@i_poisonivy_i
@dcsz14
@hahagentherapie

Top Tweeters in G8:
@carmen_mmxm
@easygentle
@coronaoso
@100_espana
@itta76728784
@aleb1808
@raulmena70
@mamaguzo
@laugonzalezmx
@carla_ponti

Top Tweeters in G9:
@holgerscherer
@lisa_marychen
@wernert_man
@stephan21020217
@nowakberlin
@dave__lightman
@schostakowich
@frankfurtzack
@schwede987
@dirke89495589

Top Tweeters in G10:
@florantine11
@berghonig
@2_bie
@tweetlelidy
@genome1901
@sarcast999
@adriaan_tweet
@brinkmanjeroen
@just4blues
@suus25834751


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