SARS-COV, Twitter, 9/20/2021 2:37:21 PM, 262475


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SARS-COV_2021-09-20_02-33-39.xlsx
SARS-COV_2021-09-20_02-33-39.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 20, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3lIJDYp
@aaannoyed
@drlimengyan1
@daoyu15
@quay_dr
@nicholaaaaaass
@stgoldst
@canblaizo
@undergroundcou1
@bidolinicola
@demiurgotuiter

Top hashtags:
#covid19
#genetik
#mrna
#coronavirus
#preprint
#covid
#2019ncov
#sarscov2
#ncpol

Description:
Description
The graph represents a network of 8,419 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, 20 September 2021 at 09:39 UTC.

The requested start date was Monday, 20 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, 3-minute period from Monday, 06 September 2021 at 00:18 UTC to Sunday, 19 September 2021 at 12:22 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 : 8419
Unique Edges : 1730
Edges With Duplicates : 13931
Total Edges : 15661
Number of Edge Types : 5
Mentions : 1018
Replies to : 478
Tweet : 301
MentionsInRetweet : 7116
Retweet : 6748
Self-Loops : 319
Reciprocated Vertex Pair Ratio : 0.00229108887013144
Reciprocated Edge Ratio : 0.00457170356111646
Connected Components : 531
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 5893
Maximum Edges in a Connected Component : 11821
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 2.029421
Graph Density : 0.000117283280125499
Modularity : 0.394924
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,419 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, 20 September 2021 at 09:39 UTC.

The requested start date was Monday, 20 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, 3-minute period from Monday, 06 September 2021 at 00:18 UTC to Sunday, 19 September 2021 at 12:22 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://www.researchsquare.com/article/rs-612103/v2
[5] https://www.radioradio.it/2020/05/vaccino-e-inutile-sars-cov-2-un-virus-banale-che-da-solo-non-uccide-nessuno/
[3] https://twitter.com/dzbb/status/1439152845039681539
[3] https://www.cbc.ca/news/politics/coronavirus-pandemic-covid-canadian-military-intelligence-wuhan-1.5528381
[3] http://www.montevideo.com.uy/auc.aspx?798238
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[3] http://dlvr.it/S75KtX
[2] https://twitter.com/skrased85/status/1432744608048590850?s=19

Top URLs in Tweet in G2:
[1] https://twitter.com/quay_dr/status/1438338230613512196
[1] https://twitter.com/DrLiMengYAN1/status/1438476606029410306

Top URLs in Tweet in G3:
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102599/
[1] https://www.pnas.org/content/117/21/11727
[1] https://pubmed.ncbi.nlm.nih.gov/14752165/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1900161/
[1] https://theconversation.com/covid-lab-leak-theory-rare-genetic-sequence-doesnt-mean-the-virus-was-engineered-162360
[1] https://twitter.com/ico_dna/status/1438636237666103300

Top URLs in Tweet in G4:
[5] https://news.ycombinator.com/item?id=28501630
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936131/
[3] http://dlvr.it/S75KtX
[3] https://twitter.com/dzbb/status/1439152845039681539
[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://twitter.com/ZoneNature03/status/1434015112768147459
[1] https://twitter.com/rwmalonemd/status/1434470328084873217
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-00789-5
[1] https://twitter.com/swamstompr/status/1434755527821692928

Top URLs in Tweet in G5:
[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://twitter.com/BidoliNicola/status/1434378486886633477
[2] https://jvi.asm.org/content/78/20/11334#T1
[1] https://pubmed.ncbi.nlm.nih.gov/21079686/
[1] https://www.g3journal.org/content/7/6/1653
[1] https://twitter.com/MartinaSisters/status/1436970332712316931
[1] https://gop-foreignaffairs.house.gov/wp-content/uploads/2021/08/ORIGINS-OF-COVID-19-REPORT.pdf

Top URLs in Tweet in G6:
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258702/

Top URLs in Tweet in G8:
[1] https://www.who.int/health-topics/severe-acute-respiratory-syndrome
[1] https://www.cdc.gov
[1] https://www.cdc.gov/sars/about/fs-sars.html
[1] https://www.health.com/condition/infectious-diseases/coronavirus/couple-dies-covid-leaving-5-kids?utm_source=twitter.com&utm_medium=social&utm_campaign=social-share-article

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[28] covid19
[16] genetik
[16] mrna
[7] coronavirus
[6] preprint
[4] covid
[4] 2019ncov
[3] sarscov2
[2] ncpol
[2] mironews



Top Hashtags in Tweet in G4:
[9] covid19
[6] coronavirus
[4] 2019ncov
[2] sarscov2
[1] ivermectin
[1] pandemic
[1] unvaccinated
[1] vaccinated
[1] gaslighting
[1] laborpandemie

Top Words
Top Words in Tweet in Entire Graph:
[11944] covid
[7468] sars
[7373] cov
[6053] coronavirus
[6035] 19
[6001] vaccine
[5892] dah
[5890] aaannoyed
[5884] develop
[5883] mulut

Top Words in Tweet in G1:
[11737] covid
[5869] vaccine
[5869] 19
[5869] sars
[5869] cov
[5868] berbuih
[5868] mulut
[5868] bagitau
[5868] coronavirus
[5868] dah

Top Words in Tweet in G2:
[288] cleavage
[283] furin
[283] site
[283] 和我报告写的一致
[278] drlimengyan1
[172] data
[168] suggested
[166] 知识点
[166] 这篇09年的文章发现在sars1的s蛋白里人工插入福林酶切位点
[166] 可导致sars1感染力增强

Top Words in Tweet in G3:
[187] sars
[162] cov
[88] stgoldst
[81] found
[71] wuhan
[69] missed
[68] time
[68] outside
[67] long
[67] farmed

Top Words in Tweet in G4:
[234] sars
[229] cov
[64] î
[26] coronavirus
[26] virus
[26] covid
[22] 19
[21] ø
[19] vaccine
[13] study

Top Words in Tweet in G5:
[73] baric
[66] sars
[56] cov
[40] tlr4
[37] martinasisters
[36] unc
[35] profundicé
[35] estudios
[35] quién
[35] encontré

Top Words in Tweet in G6:
[8] cov
[7] sars
[4] cdcgov
[3] based
[3] people
[2] explain
[2] unvaxxed
[2] adreyzen
[2] vaccines
[2] inactivated

Top Words in Tweet in G7:
[2] virus
[2] nâ

Top Words in Tweet in G8:
[24] sars
[24] cov
[11] covid
[10] nickiminaj
[10] variant
[10] vaccine
[8] 19
[7] mers
[6] fauci
[6] 2003

Top Words in Tweet in G9:
[41] citro
[41] nel
[41] 2005
[41] ue
[41] aveva
[41] trovato
[41] farmaco
[41] efficace
[41] sars
[41] cov

Top Words in Tweet in G10:
[36] vax
[36] personnes
[35] tidiane84101146
[35] d'ailleurs
[35] fait
[35] d'imposer
[35] même
[35] aux
[35] ont
[35] ac

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7258] sars,cov
[6006] covid,19
[5899] 19,sars
[5884] covid,vaccine
[5880] berbuih,mulut
[5880] mulut,bagitau
[5880] bagitau,coronavirus
[5880] coronavirus,dah
[5880] dah,lama
[5880] lama,covid

Top Word Pairs in Tweet in G1:
[5869] covid,19
[5869] sars,cov
[5868] berbuih,mulut
[5868] mulut,bagitau
[5868] bagitau,coronavirus
[5868] coronavirus,dah
[5868] dah,lama
[5868] lama,covid
[5868] covid,vaccine
[5868] vaccine,boleh

Top Word Pairs in Tweet in G2:
[283] furin,cleavage
[283] cleavage,site
[168] data,suggested
[166] 知识点,这篇09年的文章发现在sars1的s蛋白里人工插入福林酶切位点
[166] 这篇09年的文章发现在sars1的s蛋白里人工插入福林酶切位点,furin
[166] site,可导致sars1感染力增强
[166] 可导致sars1感染力增强,和我报告写的一致
[166] 和我报告写的一致,所以sars2有这个位点是实验室来源证据
[166] 所以sars2有这个位点是实验室来源证据,data
[163] drlimengyan1,知识点

Top Word Pairs in Tweet in G3:
[153] sars,cov
[67] missed,long
[67] long,time
[67] time,sars
[67] cov,found
[67] found,farmed
[67] farmed,civets
[67] civets,outside
[67] outside,wuhan
[67] wuhan,back

Top Word Pairs in Tweet in G4:
[212] sars,cov
[46] î,î
[19] covid,19
[11] cov,sars
[11] ø,ø
[10] mers,cov
[10] δ,μακεδονία
[10] αναλυτικοί,πίνακες
[8] nih,funded
[8] funded,wuhan

Top Word Pairs in Tweet in G5:
[39] sars,cov
[36] baric,unc
[35] profundicé,estudios
[35] estudios,tlr4
[35] tlr4,quién
[35] quién,encontré
[35] encontré,baric
[35] unc,tocado
[34] martinasisters,profundicé
[17] wiv1,cov

Top Word Pairs in Tweet in G6:
[7] 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 G8:
[21] sars,cov
[8] covid,19
[5] btysonmd,catturd2
[5] catturd2,anyone
[5] anyone,find
[5] find,odd
[5] odd,fauci
[5] fauci,warns
[5] warns,variant
[5] variant,poof

Top Word Pairs in Tweet in G9:
[41] citro,nel
[41] nel,2005
[41] 2005,ue
[41] ue,aveva
[41] aveva,trovato
[41] trovato,farmaco
[41] farmaco,efficace
[41] efficace,sars
[41] sars,cov
[41] cov,perche

Top Word Pairs in Tweet in G10:
[35] tidiane84101146,d'ailleurs
[35] d'ailleurs,fait
[35] fait,d'imposer
[35] d'imposer,vax
[35] vax,même
[35] même,aux
[35] aux,personnes
[35] personnes,ont
[35] ont,ac
[35] ac,sars

Top Replied-To
Top Replied-To in Entire Graph:
@daveatkinsonmd
@pathogenetics
@emilymason1192
@gleaves
@quay_dr
@nickiminaj
@stgoldst
@danielginerman
@dryavuzornek10
@stuartjdneil

Top Replied-To in G2:
@quay_dr

Top Replied-To in G3:
@daveatkinsonmd
@pathogenetics
@stgoldst
@quay_dr
@lab_leak
@stuartjdneil
@peterdaszak
@darachm
@ayjchan
@bblarsen1

Top Replied-To in G4:

Top Replied-To in G5:
@martinasisters
@alfonsopineiro
@nessabella12
@rubic3n
@janieyaya
@veryvirology
@bidolinicola
@matthew09412243

Top Replied-To in G6:
@jsaholmes
@pawley_robert
@hopeseekr
@mailtrucker552
@hintofspooky

Top Replied-To in G7:
@hlnethomasson1

Top Replied-To in G8:
@nickiminaj
@keeskeesgoose
@matrix90000
@btysonmd
@realcandaceo
@wolfrae__
@sagittarius_nik
@ellbaker2003
@summer80698016
@chriz_f

Top Replied-To in G10:
@tidiane84101146

Top Mentioned
Top Mentioned in Entire Graph:
@aaannoyed
@drlimengyan1
@quay_dr
@stgoldst
@gustinicchi
@martinasisters
@mariogom1984
@tidiane84101146
@r_h_ebright
@hayesluk

Top Mentioned in G1:
@aaannoyed

Top Mentioned in G2:
@drlimengyan1
@quay_dr
@sarahchiang8
@drlimengyan1b
@cpajim2021

Top Mentioned in G3:
@stgoldst
@r_h_ebright
@hayesluk
@daoyu15
@princetongb
@counterpopp
@snupsnus
@peterdaszak
@stuartjdneil
@ayjchan

Top Mentioned in G4:
@namikof
@drlboominathan
@imetatronink

Top Mentioned in G5:
@martinasisters
@bidolinicola
@matahar65552943
@sudarshanchate2
@__ice9
@dharmen46587056
@drakchaurasia
@janieyaya
@undergroundcou1
@menabster

Top Mentioned in G6:
@cdcgov
@adreyzen
@discussdata
@jaxcairo
@repthomasmassie
@rtheatheist
@j_empyreangoals
@nyob7714
@bebert701
@mdrisette

Top Mentioned in G7:
@vellave43
@gira_michel
@beerussamarange
@toivoar1092
@a_rappel
@adv_in21
@gregorovytch
@filemon_c
@waltercitoyen

Top Mentioned in G8:
@nickiminaj
@catturd2
@judge_iron
@btysonmd
@gpgomez
@iamnormaniola
@queenssonly
@sabasmw
@2rawtooreal
@ssimmons1187

Top Mentioned in G9:
@gustinicchi

Top Mentioned in G10:
@mariogom1984
@tidiane84101146

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@inabster
@jjauthor
@lizditz
@thehill
@menabster
@linnie_myname
@monty_chadha
@navroopsingh_
@potongkelape

Top Tweeters in G1:
@linnie_myname
@potongkelape
@itshnamir
@mistaaimanvevo
@ssfwlo3yswifeu
@neyrashazeyra
@nrhdx
@iamjoelee
@pidutdin
@corona_ssyt

Top Tweeters in G2:
@madrynha2012
@toniradjali
@marsyaheedas
@qwqrl0ydp25kqov
@allsourcefusion
@scswga
@nhkuwa
@6hx6fgd9ocpo0sy
@may_j278094
@djklarson

Top Tweeters in G3:
@bassaces1
@demiurgotuiter
@ghostcatbce
@e2dot7182818284
@katydogcrazy
@cindycinnis
@iridescentashes
@lennyllm
@enopoletus
@nymne

Top Tweeters in G4:
@infoitsalute
@astratv1
@hntweets
@f14a10rqly
@drkassandrapari
@heradrasteia
@winsontang
@chanbaektwts
@smiura3000
@bernamatv

Top Tweeters in G5:
@inabster
@menabster
@monty_chadha
@navroopsingh_
@barandaand
@elalam_vnz
@ros1er
@manu_k_tala
@manuell12700597
@jorgemcr200491

Top Tweeters in G6:
@lizditz
@wjack76995
@mcfunny
@jsaholmes
@wendyorent
@carlsmythe
@rodfair2
@d_a_keldsen
@basedcorp
@alex_on_a14

Top Tweeters in G7:
@vincentjappi
@reveident
@ebenyaakov
@betramaurice
@wargonm
@bastetgeraud
@gocentrique
@parisonalain
@adv_in21
@gouvernementfr

Top Tweeters in G8:
@hannabec
@joyannreid
@sabasmw
@misuzt
@sttephaniee
@kurteichenwald
@sarahburris
@scottpresler
@catturd2
@mrbandman223s

Top Tweeters in G9:
@sorryns
@melinacugliari
@lunadargento5
@corra_franco
@gustinicchi
@semperadamantes
@vlasec_ciotto
@modamanager
@robertozucchi11
@lb19712

Top Tweeters in G10:
@lagrosta
@edira2
@lau68951920
@erayeye
@4litanglilou67
@poussantg
@yannick_stopyra
@morelightshine
@weber_web
@bearmaximilien