SARS-COV, Twitter, 9/16/2021 12:56:36 PM, 262184


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SARS-COV_2021-09-16_03-59-53.xlsx
SARS-COV_2021-09-16_03-59-53.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 16, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3CiYLm5
@aaannoyed
@nicholaaaaaass
@hausofhilton
@bidolinicola
@martinasisters
@virusesimmunity
@documentavi
@matahar65552943
@belenjerez8
@daoyu15

Top hashtags:
#covid19
#covid
#coronavirus
#sarscov2
#preprint
#2019ncov
#surgery

Description:
Description
The graph represents a network of 7,785 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 Thursday, 16 September 2021 at 11:05 UTC.

The requested start date was Thursday, 16 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 13-day, 12-hour, 5-minute period from Thursday, 02 September 2021 at 00:02 UTC to Wednesday, 15 September 2021 at 12:08 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 : 7785
Unique Edges : 1494
Edges With Duplicates : 12697
Total Edges : 14191
Number of Edge Types : 5
Retweet : 6177
MentionsInRetweet : 6374
Tweet : 346
Replies to : 438
Mentions : 856
Self-Loops : 367
Reciprocated Vertex Pair Ratio : 0.00254965110037574
Reciprocated Edge Ratio : 0.00508633382411993
Connected Components : 572
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 5579
Maximum Edges in a Connected Component : 11191
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.005903
Graph Density : 0.000123287002107645
Modularity : 0.38092
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,785 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 Thursday, 16 September 2021 at 11:05 UTC.

The requested start date was Thursday, 16 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 13-day, 12-hour, 5-minute period from Thursday, 02 September 2021 at 00:02 UTC to Wednesday, 15 September 2021 at 12:08 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:
[7] https://news.ycombinator.com/item?id=28501630
[6] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936131/
[5] https://cdc.gov/
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797993/
[3] https://www.researchsquare.com/article/rs-612103/v2
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[3] http://dlvr.it/S75KtX
[3] https://archive.is/c1jH8
[3] https://archive.is/yXjt4
[3] https://investors.modernatx.com/news-releases/news-release-details/moderna-receives-fda-fast-track-designation-respiratory

Top URLs in Tweet in G2:
[5] https://news.ycombinator.com/item?id=28501630
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936131/
[3] http://dlvr.it/S75KtX
[2] https://pubmed.ncbi.nlm.nih.gov/22536382/
[2] https://twitter.com/PaperbirdsH/status/1435196679456583683/photo/1
[2] https://genomediscovery.org/2018/10/taming-microbial-infections-with-anti-tapeworm-drugs-niclosamide-trade-name-niclocide-fenasal-phenasal-an-anti-tapeworm-drug-inhibits-hepatitis-b-c-dengue-zika-ebola-h/
[1] https://www.motore-italia-blog.it/
[1] https://twitter.com/adream4you26/status/1433400795467337732
[1] https://pubmed.ncbi.nlm.nih.gov/34466204/?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=None&utm_content=1nwkqzEtY5u_6fo_auojFoyvITwEA2o4p7kK0FJAxTOwGl6YQY&fc=None&ff=20210902122444&v=2.14.5
[1] https://twitter.com/PammmyPam/status/1433422024316182530

Top URLs in Tweet in G3:
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985%3Ffbclid%3DIwAR1so1tzu8GGsknq4iyaaWncggjfgJb-zSS43pTPB9NcyXMXmz073NRUSG4
[2] https://jvi.asm.org/content/78/20/11334#T1
[2] https://twitter.com/BidoliNicola/status/1434378486886633477
[1] https://pubmed.ncbi.nlm.nih.gov/21079686/
[1] https://www.g3journal.org/content/7/6/1653
[1] https://insight.jci.org/articles/view/123158
[1] https://gop-foreignaffairs.house.gov/wp-content/uploads/2021/08/ORIGINS-OF-COVID-19-REPORT.pdf

Top URLs in Tweet in G4:
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[3] https://archive.is/c1jH8
[3] https://archive.is/yXjt4
[2] https://www.youtube.com/watch?v=mxTQQD-QVjk&feature=youtu.be

[1] https://www.pnas.org/content/117/21/11727
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102599/
[1] https://www.google.com/sorry/index?continue=https://m.youtube.com/watch%3Fv%3D48Klc3DPdtk%26list%3DPLBmX4cXQzREYQj8CTNg32xdtbEzfsA-6w%26index%3D44%26t%3D0s&q=EgS4SO-bGMfJjIoGIhBAXb9xn7LJ58iLE8W71d_sMgFy

[1] https://twitter.com/YouAreLobbyLud/status/1434657036403306497?s=20
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094611/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC546564/

Top URLs in Tweet in G5:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258702/

Top URLs in Tweet in G9:
[1] https://www.researchsquare.com/article/rs-612103/v1

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[16] covid19
[8] covid
[5] coronavirus
[5] sarscov2
[4] preprint
[4] 2019ncov
[4] surgery
[4] anesthesia
[4] periop
[2] boycottmzetxaptxgma191



Top Hashtags in Tweet in G2:
[8] covid19
[5] coronavirus
[4] 2019ncov
[2] spikeprotein
[2] sarscov2
[1] dataviz
[1] 24gadgetru
[1] гаджетновости
[1] biophysics
[1] spikevax

Top Hashtags in Tweet in G4:
[2] coronainfoch

Top Words
Top Words in Tweet in Entire Graph:
[11410] covid
[7116] sars
[7069] cov
[5777] 19
[5739] coronavirus
[5687] vaccine
[5577] dah
[5575] aaannoyed
[5572] develop
[5568] mulut

Top Words in Tweet in G1:
[11107] covid
[5554] vaccine
[5554] 19
[5554] sars
[5554] cov
[5553] berbuih
[5553] mulut
[5553] bagitau
[5553] coronavirus
[5553] dah

Top Words in Tweet in G2:
[326] cov
[302] sars
[92] virus
[84] î
[80] yang
[49] covid
[48] 19
[48] coronavirus
[41] dan
[39] mers

Top Words in Tweet in G3:
[127] baric
[116] sars
[88] cov
[82] âž
[52] wiv1
[46] human
[44] spike
[42] bidolinicola
[38] tlr4
[38] ðÿž

Top Words in Tweet in G4:
[76] cov
[74] sars
[24] virus
[22] r_h_ebright
[15] daoyu15
[15] paper
[13] snupsnus
[13] princetongb
[13] easy
[13] clue

Top Words in Tweet in G5:
[5] cov
[4] sars
[2] adreyzen
[2] hopeseekr
[2] wuhan
[2] iv
[2] paper
[2] study
[2] combining
[2] hiv

Top Words in Tweet in G6:
[3] f_philippot
[3] sars
[3] cov
[2] virus
[2] nâ
[2] dã
[2] oui
[2] jamais

Top Words in Tweet in G7:
[31] vax
[31] personnes
[30] tidiane84101146
[30] d'ailleurs
[30] fait
[30] d'imposer
[30] même
[30] aux
[30] ont
[30] ac

Top Words in Tweet in G8:
[23] cov
[22] sars
[14] tweetlelidy
[13] die
[12] geïsoleerde
[12] 'vaccins'
[12] binnen
[12] enkele
[12] maanden
[12] licht

Top Words in Tweet in G9:
[65] ç
[59] ãƒ
[54] cov
[47] æ
[43] sars
[26] ÿæÿ
[21] æœ
[20] research
[20] preprint
[20] 未æÿ

Top Words in Tweet in G10:
[30] sars
[30] cov
[30] well
[30] known
[30] covid
[30] 19
[30] deadly
[30] virus
[30] took
[30] over

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[6893] sars,cov
[5753] covid,19
[5607] 19,sars
[5567] covid,vaccine
[5565] berbuih,mulut
[5565] mulut,bagitau
[5565] bagitau,coronavirus
[5565] coronavirus,dah
[5565] dah,lama
[5565] lama,covid

Top Word Pairs in Tweet in G1:
[5554] covid,19
[5554] sars,cov
[5553] berbuih,mulut
[5553] mulut,bagitau
[5553] bagitau,coronavirus
[5553] coronavirus,dah
[5553] dah,lama
[5553] lama,covid
[5553] covid,vaccine
[5553] vaccine,boleh

Top Word Pairs in Tweet in G2:
[277] sars,cov
[60] î,î
[41] covid,19
[33] mers,cov
[26] respiratory,syndrome
[19] virus,corona
[19] cov,dan
[17] cov,sars
[16] virus,sars
[16] acute,respiratory

Top Word Pairs in Tweet in G3:
[45] sars,cov
[42] wiv1,cov
[38] ðÿž,âž
[38] âž,wiv1
[38] cov,similar
[38] similar,sars
[38] sars,ready
[38] ready,human
[38] human,emergency
[38] emergency,baric

Top Word Pairs in Tweet in G4:
[65] sars,cov
[13] snupsnus,princetongb
[13] princetongb,r_h_ebright
[13] r_h_ebright,easy
[13] easy,clue
[13] clue,acknowledgments
[13] acknowledgments,section
[13] section,paper
[13] paper,attached
[13] attached,fauci's

Top Word Pairs in Tweet in G5:
[4] sars,cov
[2] hopeseekr,wuhan
[2] wuhan,iv
[2] iv,paper
[2] paper,study
[2] study,combining
[2] combining,hiv
[2] hiv,based
[2] based,pseudovirus
[2] pseudovirus,system

Top Word Pairs in Tweet in G6:
[3] sars,cov

Top Word Pairs in Tweet in G7:
[30] tidiane84101146,d'ailleurs
[30] d'ailleurs,fait
[30] fait,d'imposer
[30] d'imposer,vax
[30] vax,même
[30] même,aux
[30] aux,personnes
[30] personnes,ont
[30] ont,ac
[30] ac,sars

Top Word Pairs in Tweet in G8:
[22] sars,cov
[12] geïsoleerde,sars
[12] cov,'vaccins'
[12] 'vaccins',binnen
[12] binnen,die
[12] die,enkele
[12] enkele,maanden
[12] maanden,licht
[12] licht,zagen
[12] zagen,gigantische

Top Word Pairs in Tweet in G9:
[43] sars,cov
[21] æ,ÿæÿ
[21] ãƒ,ãƒ
[20] research,preprint
[20] preprint,æœ
[20] æœ,æ
[20] æ,ç
[20] ç,ç
[20] ç,未æÿ
[20] 未æÿ,èª

Top Word Pairs in Tweet in G10:
[30] sars,cov
[30] cov,well
[30] well,known
[30] known,covid
[30] covid,19
[30] 19,deadly
[30] deadly,virus
[30] virus,took
[30] took,over
[30] over,half

Top Replied-To
Top Replied-To in Entire Graph:
@daveatkinsonmd
@ayjchan
@reneemcdowell
@pathogenetics
@danielginerman
@deep_readsbooks
@s_coughlin_dc
@magmavire
@pakahmadutomo
@darachm

Top Replied-To in G2:

Top Replied-To in G3:
@alexisbadenmaye
@nessabella12
@rubic3n
@bidolinicola
@bobvanwagner1
@farmaceuticoac1

Top Replied-To in G4:
@daveatkinsonmd
@ayjchan
@pathogenetics
@darachm
@stuartjdneil
@monarahalkar
@gdemaneuf
@hl3133
@theseeker268
@angelakg5

Top Replied-To in G5:
@hopeseekr
@pawley_robert
@thatsnotmine125

Top Replied-To in G6:
@hlnethomasson1
@stphani77858269
@kilennico

Top Replied-To in G7:
@tidiane84101146

Top Replied-To in G8:
@deep_readsbooks
@joostniemoller
@arhu3

Top Mentioned
Top Mentioned in Entire Graph:
@aaannoyed
@bidolinicola
@martinasisters
@virusesimmunity
@mariogom1984
@tidiane84101146
@seungwonnie
@maajidnawaz
@r_h_ebright
@kazuchancocone

Top Mentioned in G1:
@aaannoyed

Top Mentioned in G2:
@namikof
@drlboominathan
@imetatronink

Top Mentioned in G3:
@bidolinicola
@martinasisters
@virusesimmunity
@matahar65552943
@menabster
@inabster
@alexisbadenmaye
@worldedgedg
@veryvirology
@nonewnormal21

Top Mentioned in G4:
@r_h_ebright
@daoyu15
@princetongb
@counterpopp
@snupsnus
@mrandersoninneo
@stuartjdneil
@pityu7070
@maestermagoo
@boofinley

Top Mentioned in G5:
@adreyzen
@hopeseekr
@rtheatheist
@j_empyreangoals
@nyob7714
@bebert701
@mdrisette
@nycweatherrepor
@d_a_keldsen
@wjack76995

Top Mentioned in G6:
@f_philippot
@vellave43
@gira_michel
@beerussamarange
@toivoar1092
@a_rappel
@adv_in21
@gregorovytch
@filemon_c

Top Mentioned in G7:
@mariogom1984
@tidiane84101146

Top Mentioned in G8:
@tweetlelidy
@thierrybaudet
@joostniemoller
@mvwoensel
@opinieleader2
@mmhoff
@herstoryteache
@life_s_about
@gertvdijk
@aartbleekjes

Top Mentioned in G9:
@kazuchancocone
@hiroshi_tsuji

Top Mentioned in G10:
@seungwonnie

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@detikcom
@inabster
@jjauthor
@lizditz
@menabster
@linnie_myname
@monty_chadha
@athenea_phalas
@navroopsingh_

Top Tweeters in G1:
@linnie_myname
@potongkelape
@itshnamir
@mistaaimanvevo
@neyrashazeyra
@iamjoelee
@pidutdin
@corona_ssyt
@adibkhld
@nabilhussein

Top Tweeters in G2:
@blackphysicists
@astratv1
@hntweets
@f14a10rqly
@ians_india
@angstywhoure
@tio_stephen
@winsontang
@texnopluz
@smiura3000

Top Tweeters in G3:
@inabster
@menabster
@barandaand
@elalam_vnz
@ros1er
@manu_k_tala
@manuell12700597
@jorgemcr200491
@afrvet
@eureoscriss

Top Tweeters in G4:
@jjauthor
@bassaces1
@demiurgotuiter
@usatoday
@huffpostpol
@helentuttle
@christina_21700
@tagesanzeiger
@mrsemoticon
@halvorz

Top Tweeters in G5:
@lizditz
@wjack76995
@markready47
@mcfunny
@jsaholmes
@wendyorent
@carlsmythe
@rodfair2
@d_a_keldsen
@alex_on_a14

Top Tweeters in G6:
@vincentjappi
@reveident
@ebenyaakov
@betramaurice
@kilennico
@wargonm
@bastetgeraud
@gocentrique
@parisonalain
@adv_in21

Top Tweeters in G7:
@lagrosta
@edira2
@lau68951920
@erayeye
@4litanglilou67
@poussantg
@yannick_stopyra
@morelightshine
@weber_web
@bearmaximilien

Top Tweeters in G8:
@dusofabulous
@joostniemoller
@hoffnar
@alainkahn
@ramesh13145522
@pim0605a
@anneslim4
@willnexit
@tweetlelidy
@bws87471768

Top Tweeters in G9:
@sedzir
@katoikumi
@narapon1966
@ichi_fan
@pchirosi2005
@araran100
@ryotashin3587
@8beichan
@o3kpcokvqucm0lg
@roy1358

Top Tweeters in G10:
@sunnksn
@bubblysjy
@jakeblnciaga
@nrkiscute
@jvngwonpedia
@hoonie_ice01
@iioveheeseung
@seii_huang
@simpppjaeyun
@suno0gnakanin