SARS-COV, Twitter, 9/12/2021 3:55:58 PM, 261805


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SARS-COV_2021-09-12_02-34-57.xlsx
SARS-COV_2021-09-12_02-34-57.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 12, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3EcDrAA
@dlakadarko
@bidolinicola
@yanoriva
@daoyu15
@tweetlelidy
@ardito98731919
@seoulspleen
@michielhimself
@billybostickson
@virusesimmunity

Top hashtags:
#covid19
#entérate
#sarscov2
#covidiots
#johnsonout
#covid
#sars
#surgery

Description:
Description
The graph represents a network of 2,562 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, 12 September 2021 at 09:37 UTC.

The requested start date was Sunday, 12 September 2021 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 9-day, 10-hour, 55-minute period from Sunday, 29 August 2021 at 00:41 UTC to Tuesday, 07 September 2021 at 11:36 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 : 2562
Unique Edges : 1789
Edges With Duplicates : 1919
Total Edges : 3708
Number of Edge Types : 5
Retweet : 788
MentionsInRetweet : 1110
Tweet : 409
Replies to : 464
Mentions : 937
Self-Loops : 434
Reciprocated Vertex Pair Ratio : 0.0110326566637246
Reciprocated Edge Ratio : 0.0218245307725884
Connected Components : 643
Single-Vertex Connected Components : 219
Maximum Vertices in a Connected Component : 104
Maximum Edges in a Connected Component : 336
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.196205
Graph Density : 0.000349169567776541
Modularity : 0.648097
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 2,562 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, 12 September 2021 at 09:37 UTC.

The requested start date was Sunday, 12 September 2021 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 9-day, 10-hour, 55-minute period from Sunday, 29 August 2021 at 00:41 UTC to Tuesday, 07 September 2021 at 11:36 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:
[3] http://biorxiv.org/cgi/content/short/2021.08.29.458083v1?rss=1&utm_source=dlvr.it&utm_medium=twitter
[2] https://www.iesdouyin.com/share/video/6994838222773685511/?region=FR&mid=6994838386464803614&u_code=0&titleType=title&did=MS4wLjABAAAAwmoaOUn7pZfjrJ-zngtkUkBT5k5K5PeZ-_TGtBYvw_ajSBya7EnwysrjusEhNRQ8&iid=MS4wLjABAAAAsA3XzmB5vfyGnnJQyn_WEr83K-Tdb5uxnfJEqq2vBLr0oUruj2J5mNjq_r7n9_WS&with_sec_did=1&utm_source=copy_link&utm_campaign=client_share&utm_medium=android&app=aweme&scheme_type=1
[2] https://pubmed.ncbi.nlm.nih.gov/22536382/
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-2012-7
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[2] https://www.youtube.com/watch?v=mxTQQD-QVjk&feature=youtu.be

[1] https://www.nature.com/articles/doi:10.1038/s41598-021-82852-7.epdf?sharing_token=pz55vaxSi4CrL8qyogOnU9RgN0jAjWel9jnR3ZoTv0NAoxCczHru2exQ7crmj8PWDlAEVgyg4iXFNkmVQp777e-4X6FsukSZDqoauj3oq-Xj-jB845FyFxQPsCtNaQowjqvRuqKmzm8d6f7-aBmIgpIh4M_wUdNLLuneSecg6Sg%3D
[1] https://www.biorxiv.org/cgi/content/short/2021.08.27.457969v1
[1] https://twitter.com/sregolatore/status/1432613067578351618
[1] https://pubmed.ncbi.nlm.nih.gov/32668444/

Top URLs in Tweet in G1:
[3] http://biorxiv.org/cgi/content/short/2021.08.29.458083v1?rss=1&utm_source=dlvr.it&utm_medium=twitter
[1] https://twitter.com/unknowthyself/status/1431851494047817729
[1] https://twitter.com/eck_raiden/status/1431880651456880641
[1] https://mirastnews.net/2021/08/29/nouvelles-preuves-le-professeur-montagnier-affirme-que-les-gouvernements-mondiaux-sont-complices-de-genocide-et-de-crimes-contre-lhumanite/
[1] https://republika.co.id/share/qyl4t4463
[1] https://twitter.com/daoyu15/status/1431250559210692613
[1] http://thoughtnerds.com/2021/08/diabetic-patients-may-be-at-higher-risk-for-complications-from-covid/(NewsUSA
[1] https://twitter.com/euweiler/status/1431323291025870851
[1] https://twitter.com/otempo/status/1432137132597026830
[1] https://twitter.com/loupreme_/status/1431657167602470912

Top URLs in Tweet in G3:
[2] https://www.youtube.com/watch?v=mxTQQD-QVjk&feature=youtu.be


Top URLs in Tweet in G5:
[1] https://www.cdc.gov/sars/guidance/f-lab/assays.html

Top URLs in Tweet in G6:
[1] https://pubmed.ncbi.nlm.nih.gov/27287409/
[1] https://www.klinikum.uni-heidelberg.de/newsroom/kinder-entwickeln-langfristige-immunitaet-gegen-covid-19/

Top Domains
Top Domains in Tweet in Entire Graph:
[69] twitter.com
[47] nih.gov
[25] biorxiv.org
[10] astratv.gr
[8] cdc.gov
[6] youtube.com
[6] nature.com
[6] researchsquare.com
[6] archive.is
[6] maghreb-post.de

Top Domains in Tweet in G1:
[35] twitter.com
[16] biorxiv.org
[10] nih.gov
[10] astratv.gr
[3] plos.org
[3] nature.com
[3] genomediscovery.org
[2] drrobertyoung.com
[2] researchsquare.com
[2] science.org

Top Domains in Tweet in G3:
[5] youtube.com

Top Domains in Tweet in G4:
[2] asm.org
[2] twitter.com
[1] nih.gov
[1] threadreaderapp.com

Top Domains in Tweet in G5:
[1] nih.gov
[1] cdc.gov

Top Domains in Tweet in G6:
[5] nih.gov
[1] twitter.com
[1] youtube.com
[1] elsevierhealth.com
[1] uni-heidelberg.de

Top Domains in Tweet in G7:
[1] researchsquare.com

Top Domains in Tweet in G9:
[6] archive.is
[3] twitter.com
[3] modernatx.com
[2] nih.gov
[2] biorxiv.org
[1] biomedcentral.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[21] covid19
[10] entérate
[8] sarscov2
[6] covidiots
[6] johnsonout
[5] covid
[4] sars
[4] surgery
[4] anesthesia
[4] periop



Top Hashtags in Tweet in G1:
[7] covid19
[2] coronavirus
[2] 2019ncov
[1] gesundheit
[1] kommunales
[1] landkreisforchheim
[1] c12
[1] biorxiv_biophys
[1] cuba
[1] cubaporlavida

Top Hashtags in Tweet in G2:
[4] passsanitaire
[4] vaccin
[4] covid_19
[4] covidiots
[4] antipasssanitaire
[4] mensonges
[2] vaccination

Top Hashtags in Tweet in G6:
[2] coronainfoch
[1] longlyme
[1] longcovid

Top Hashtags in Tweet in G9:
[2] biorxiv
[2] sars

Top Words
Top Words in Tweet in Entire Graph:
[1773] sars
[1747] cov
[436] virus
[340] ø
[284] covid
[228] 19
[203] ù
[162] î
[160] coronavirus
[147] mers

Top Words in Tweet in G1:
[393] cov
[369] sars
[118] virus
[92] yang
[84] î
[65] covid
[64] 19
[50] mers
[46] dan
[42] coronavirus

Top Words in Tweet in G2:
[14] sars
[14] cov
[7] structure
[6] virus
[6] toujours
[6] c'est
[5] divizio1
[5] j'ai
[5] ai
[4] f_philippot

Top Words in Tweet in G3:
[71] questo
[70] fermi
[70] tutti
[70] questa
[70] storia
[70] fosse
[70] vera
[70] sarebbe
[70] sensazionale
[70] sito

Top Words in Tweet in G4:
[98] sars
[87] baric
[80] âž
[78] cov
[51] wiv1
[43] human
[41] bidolinicola
[37] ðÿž
[37] similar
[37] ready

Top Words in Tweet in G5:
[46] sars
[46] cov
[37] tweetlelidy
[31] die
[30] geïsoleerde
[30] 'vaccins'
[30] binnen
[30] enkele
[30] maanden
[30] licht

Top Words in Tweet in G6:
[31] sars
[29] cov
[6] ayjchan
[5] sciencecohen
[5] erictopol
[5] mers
[5] ace2
[5] researcher
[4] die
[4] lab

Top Words in Tweet in G7:
[129] cov
[93] sars
[65] ç
[59] ãƒ
[47] æ
[36] mers
[30] hiroshi_tsuji
[26] ÿæÿ
[26] 呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある
[26] 他にライノ

Top Words in Tweet in G8:
[2] vaccine
[2] asked

Top Words in Tweet in G9:
[34] sars
[31] cov
[20] 13orangesbc
[20] billybee9991
[20] sonia_elijah
[20] smackenziekerr
[20] sharpiedj
[20] johnboweactor
[20] birdgroupuk
[20] chrismartenson

Top Words in Tweet in G10:
[11] cov
[7] sars
[4] severe
[4] respiratory
[4] syndrome
[3] bazza73617427
[3] gods_spy
[3] ukcat87
[3] 2njoymore
[3] entheostuition

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1544] sars,cov
[188] covid,19
[166] ø,ø
[117] mers,cov
[114] î,î
[112] cov,sars
[99] ø,ù
[79] ù,ø
[78] dal,2005
[77] fermi,tutti

Top Word Pairs in Tweet in G1:
[331] sars,cov
[60] î,î
[53] covid,19
[39] mers,cov
[32] respiratory,syndrome
[30] cov,sars
[22] virus,corona
[21] virus,sars
[21] cov,dan
[19] acute,respiratory

Top Word Pairs in Tweet in G2:
[14] sars,cov
[4] pinte,terrasse
[4] #passsanitaire,#vaccin
[4] #vaccin,#covid_19
[4] #covid_19,#covidiots
[4] #covidiots,#antipasssanitaire
[4] #antipasssanitaire,#mensonges
[4] #mensonges,j'ai
[4] cov,donc
[3] tous,mes

Top Word Pairs in Tweet in G3:
[70] fermi,tutti
[70] questa,storia
[70] storia,fosse
[70] fosse,vera
[70] vera,sarebbe
[70] sarebbe,sensazionale
[70] sensazionale,questo
[70] questo,sito
[70] sito,evince
[70] dal,2005

Top Word Pairs in Tweet in G4:
[41] wiv1,cov
[37] ðÿž,âž
[37] âž,wiv1
[37] cov,similar
[37] similar,sars
[37] sars,ready
[37] ready,human
[37] human,emergency
[37] emergency,baric
[37] baric,2016â

Top Word Pairs in Tweet in G5:
[46] sars,cov
[30] geïsoleerde,sars
[30] cov,'vaccins'
[30] 'vaccins',binnen
[30] binnen,die
[30] die,enkele
[30] enkele,maanden
[30] maanden,licht
[30] licht,zagen
[30] zagen,gigantische

Top Word Pairs in Tweet in G6:
[27] sars,cov
[4] anticuerpos,unen
[4] civets,animal
[3] angiotensin,converting
[3] converting,enzyme
[3] enzyme,ace2
[3] ace2,proteins
[3] proteins,different
[3] different,bat
[3] bat,species

Top Word Pairs in Tweet in G7:
[93] sars,cov
[36] cov,mers
[36] mers,cov
[31] cov,sars
[26] hiroshi_tsuji,呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある
[26] 呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある,他にライノ
[26] 他にライノ,アデノ
[26] アデノ,エンテロ
[26] エンテロ,sars
[26] cov,2等

Top Word Pairs in Tweet in G9:
[30] sars,cov
[20] 13orangesbc,billybee9991
[20] billybee9991,sonia_elijah
[20] sonia_elijah,smackenziekerr
[20] smackenziekerr,sharpiedj
[20] sharpiedj,johnboweactor
[20] johnboweactor,birdgroupuk
[20] birdgroupuk,chrismartenson
[18] drakchaurasia,13orangesbc
[17] chrismartenson,please

Top Word Pairs in Tweet in G10:
[7] sars,cov
[4] respiratory,syndrome
[3] bazza73617427,gods_spy
[3] gods_spy,ukcat87
[3] ukcat87,2njoymore
[3] 2njoymore,entheostuition
[3] entheostuition,nephilim225
[3] nephilim225,pollylo08456224
[3] pollylo08456224,nwstate
[3] nwstate,eloise98496253

Top Replied-To
Top Replied-To in Entire Graph:
@erictopol
@reneemcdowell
@boogywill
@lab_leak
@jerseyfinfan
@treep52
@philippeherlin
@ct_bergstrom
@1mirror1978
@grahambridge3

Top Replied-To in G1:

Top Replied-To in G2:
@boogywill
@hlnethomasson1
@stphani77858269
@kilennico
@lazaretordo
@renaudmuselier
@avistranches
@justindesmet2
@yoan83
@guy_golo

Top Replied-To in G4:
@made_in_1971
@farmaceuticoac1
@marinawl

Top Replied-To in G5:
@vollebergh
@stevenjfrisch
@joostniemoller
@thierrybaudet
@danieltuijnman
@adegraat

Top Replied-To in G6:
@erictopol
@ayjchan
@aerniwyss
@eckerleisabella
@m1tchrosenthal
@bobvanwagner1
@sciencecohen
@billybostickson
@hirn_aus_hack
@crypto_hux

Top Replied-To in G8:
@zeetubes

Top Replied-To in G9:
@lab_leak
@13orangesbc
@gdemaneuf
@monarahalkar
@theseeker268
@ryangermann
@debe
@cmasters13

Top Replied-To in G10:
@bazza73617427
@thorpe7777

Top Mentioned
Top Mentioned in Entire Graph:
@cm_storch
@ardito98731919
@bidolinicola
@tweetlelidy
@virusesimmunity
@hiroshi_tsuji
@seungwonnie
@maajidnawaz
@billybee9991
@sonia_elijah

Top Mentioned in G1:
@pr0cessh1dden
@sciart3d
@asbjornu
@drlboominathan

Top Mentioned in G2:
@divizio1
@f_philippot
@emmanuelmacron
@yvess53412195
@martinewonner
@silvre11856889
@anniemartine
@vellave43
@gira_michel

Top Mentioned in G3:
@ardito98731919
@youtube
@michaelmareagle
@drdillon6

Top Mentioned in G4:
@bidolinicola
@matahar65552943
@menabster
@inabster
@martinasisters
@threadreaderapp
@deniskristan
@amparor74198244
@mmolinae
@made_in_1971

Top Mentioned in G5:
@tweetlelidy
@thierrybaudet
@joostniemoller
@rolandpierik
@marionkoopmans
@ed_strauss
@martinkulldorff
@ericclapton
@nathaneast
@mkeulemans

Top Mentioned in G6:
@sciencecohen
@ayjchan
@sciencemagazine
@owitzig
@tagesanzeiger
@povedajb
@harvard2h
@apearlbird
@aerniwyss
@bag_ofsp_ufsp

Top Mentioned in G7:
@hiroshi_tsuji
@kazuchancocone
@airbornekanki

Top Mentioned in G8:
@ajl037
@mcfunny
@andrewlazarus4
@takethatct
@factphily
@michaelbranniga
@itssciencejim
@mstrixter
@iamtybalt79
@t33879

Top Mentioned in G9:
@billybee9991
@sonia_elijah
@smackenziekerr
@sharpiedj
@johnboweactor
@birdgroupuk
@chrismartenson
@drakchaurasia
@13orangesbc
@daoyu15

Top Mentioned in G10:
@gods_spy
@ukcat87
@2njoymore
@entheostuition
@nephilim225
@pollylo08456224
@nwstate
@eloise98496253
@pambeertom
@existentialrest

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@detikcom
@inabster
@newsmixerbg
@menabster
@athenea_phalas
@fussoo_moe
@business
@coronaupdatebot
@guardian

Top Tweeters in G1:
@blackphysicists
@astratv1
@f14a10rqly
@ians_india
@angstywhoure
@tio_stephen
@texnopluz
@monte_alto
@giovannidalloli
@lademajagua

Top Tweeters in G2:
@vincentjappi
@epochtimes
@reveident
@ebenyaakov
@betramaurice
@kilennico
@france_soir
@wargonm
@bastetgeraud
@gocentrique

Top Tweeters in G3:
@corona_ssyt
@etherea_etherea
@maurogab1
@melannas
@genomalieno
@alessio19521436
@rizzello700
@mromero00
@urobertu
@tomerini63

Top Tweeters in G4:
@threadreaderapp
@inabster
@menabster
@elalam_vnz
@manu_k_tala
@eureoscriss
@maryspes
@dinamo1234
@hernanmejia
@e_anilu

Top Tweeters in G5:
@maryfloor
@nelliejs501
@diggrich_
@edkloosterhuis
@dusofabulous
@joostniemoller
@hoffnar
@dinie_van
@drvonweg
@alainkahn

Top Tweeters in G6:
@demiurgotuiter
@tagesanzeiger
@judicialwatch
@harvard2h
@marinagt2
@wahnsager
@medscape
@billybostickson
@daggi21246802
@paratexception

Top Tweeters in G7:
@fussoo_moe
@sedzir
@katoikumi
@yarakado
@nalakifumi
@narapon1966
@ichi_fan
@shinichiroinaba
@pchirosi2005
@tabix_gogo

Top Tweeters in G8:
@doritmi
@_mamadeb
@tony__heller
@michaelbranniga
@monstercoyliar
@takethatct
@mcfunny
@21wire
@wendyorent
@geoffschuler

Top Tweeters in G9:
@bassaces1
@torontostar
@trdisoprtr
@weaverbirder
@just4thecause
@biorxivpreprint
@sharpiedj
@alportog
@inehajj
@smackenziekerr

Top Tweeters in G10:
@white_arrow_uk
@johjohjoh12
@pambeertom
@pollylo08456224
@trutherbluechef
@elizabe32413720
@1bjdj
@chrisfo65127871
@2njoymore
@truthvulgarians


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