SARS-COV, Twitter, 9/17/2021 3:41:20 PM, 262270


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SARS-COV_2021-09-17_02-18-02.xlsx
SARS-COV_2021-09-17_02-18-02.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 17, 2021
Short Description:
SARS-COV via NodeXL https://bit.ly/3EsmTVj
@aaannoyed
@nicholaaaaaass
@hausofhilton
@bidolinicola
@stgoldst
@martinasisters
@virusesimmunity
@realsaucyboy
@documentavi
@matahar65552943

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

Description:
Description
The graph represents a network of 7,917 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, 17 September 2021 at 09:23 UTC.

The requested start date was Friday, 17 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, 11-minute period from Friday, 03 September 2021 at 00:04 UTC to Thursday, 16 September 2021 at 12:15 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 : 7917
Unique Edges : 1466
Edges With Duplicates : 13126
Total Edges : 14592
Number of Edge Types : 5
Retweet : 6385
MentionsInRetweet : 6615
Replies to : 455
Tweet : 291
Mentions : 846
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0.00260824204486176
Reciprocated Edge Ratio : 0.00520291363163371
Connected Components : 524
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 5724
Maximum Edges in a Connected Component : 11481
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.007058
Graph Density : 0.00012267242320735
Modularity : 0.379842
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,917 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, 17 September 2021 at 09:23 UTC.

The requested start date was Friday, 17 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, 11-minute period from Friday, 03 September 2021 at 00:04 UTC to Thursday, 16 September 2021 at 12:15 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.radioradio.it/2020/05/vaccino-e-inutile-sars-cov-2-un-virus-banale-che-da-solo-non-uccide-nessuno/
[5] https://cdc.gov/
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797993/
[3] https://www.cbc.ca/news/politics/coronavirus-pandemic-covid-canadian-military-intelligence-wuhan-1.5528381
[3] https://archive.is/c1jH8
[3] https://archive.is/yXjt4
[3] http://www.montevideo.com.uy/auc.aspx?798238
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk

Top URLs in Tweet in G2:
[3] https://archive.is/c1jH8
[3] https://archive.is/yXjt4
[3] https://drive.google.com/file/d/13y4XJ_IeDW2NR-6EUJJQ3z_mn3hfYfvl/view?usp=drivesdk
[2] https://www.youtube.com/watch?v=mxTQQD-QVjk&feature=youtu.be

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1900161/
[1] https://pubmed.ncbi.nlm.nih.gov/14752165/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102599/
[1] https://www.pnas.org/content/117/21/11727
[1] https://www.youtube.com/watch?app=desktop&v=48Klc3DPdtk&list=PLBmX4cXQzREYQj8CTNg32xdtbEzfsA-6w&index=44&t=0s
[1] https://twitter.com/YouAreLobbyLud/status/1434657036403306497?s=20

Top URLs in Tweet in G3:
[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.ertnews.gr/perifereiakoi-stathmoi/kozani/d-makedonia-83-nees-molynseis-sars-cov-2-analytikoi-pinakes-3/?utm_source=dlvr.it&utm_medium=twitter
[1] https://twitter.com/paulcatiang/status/1433012284066910210
[1] https://halturnerradioshow.com/index.php/en/news-page/world/fda-approved-ivermectin-for-human-use-in-1996-cdc-claims-to-the-contrary-are-lies
[1] https://twitter.com/TheBigBengal/status/1433242038657503237

Top URLs in Tweet in G4:
[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://twitter.com/MartinaSisters/status/1436970332712316931
[1] https://pubmed.ncbi.nlm.nih.gov/21079686/
[1] https://www.g3journal.org/content/7/6/1653
[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 G7:
[1] https://twitter.com/quay_dr/status/1438338230613512196
[1] https://twitter.com/The_Real_Fly/status/1433532572454342660
[1] https://twitter.com/CDCgov/status/1433517047577726991

Top URLs in Tweet in G9:
[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 URLs in Tweet in G10:
[1] https://insight.jci.org/articles/view/123158

Top Domains
Top Domains in Tweet in Entire Graph:
[49] twitter.com
[43] nih.gov
[10] cdc.gov
[8] astratv.gr
[7] ycombinator.com
[6] archive.is
[5] radioradio.it
[5] elsevierhealth.com
[5] nature.com
[4] science.org

Top Domains in Tweet in G2:
[6] nih.gov
[6] archive.is
[3] google.com
[3] youtube.com
[1] pnas.org
[1] twitter.com

Top Domains in Tweet in G3:
[20] twitter.com
[12] nih.gov
[8] astratv.gr
[5] ycombinator.com
[4] dlvr.it
[4] genomediscovery.org
[3] science.org
[2] biorxiv.org
[2] frontiersin.org
[1] ertnews.gr

Top Domains in Tweet in G4:
[3] twitter.com
[2] nature.com
[2] asm.org
[1] nih.gov
[1] g3journal.org
[1] house.gov

Top Domains in Tweet in G6:
[1] nih.gov

Top Domains in Tweet in G7:
[3] twitter.com

Top Domains in Tweet in G9:
[1] cdc.gov
[1] health.com

Top Domains in Tweet in G10:
[1] jci.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[29] covid19
[14] genetik
[14] mrna
[7] coronavirus
[7] covid
[4] 2019ncov
[4] sarscov2
[2] preprint
[2] boycottmzetxaptxgma191
[2] airborne



Top Hashtags in Tweet in G2:
[2] coronainfoch

Top Hashtags in Tweet in G3:
[9] covid19
[6] coronavirus
[4] 2019ncov
[2] spikeprotein
[2] sarscov2
[1] biophysics
[1] spikevax
[1] cinepass
[1] chinavirus
[1] ivermectin

Top Words
Top Words in Tweet in Entire Graph:
[11642] covid
[7248] sars
[7154] cov
[5880] 19
[5851] coronavirus
[5830] vaccine
[5722] dah
[5720] aaannoyed
[5717] develop
[5713] mulut

Top Words in Tweet in G1:
[11397] covid
[5699] vaccine
[5699] 19
[5699] sars
[5699] cov
[5698] berbuih
[5698] mulut
[5698] bagitau
[5698] coronavirus
[5698] dah

Top Words in Tweet in G2:
[142] sars
[137] cov
[66] stgoldst
[58] found
[52] civets
[52] wuhan
[50] 2005
[49] missed
[49] time
[49] outside

Top Words in Tweet in G3:
[229] sars
[229] cov
[84] î
[31] coronavirus
[21] virus
[21] ø
[18] ãƒ
[17] study
[16] vaccine
[16] covid

Top Words in Tweet in G4:
[126] baric
[112] sars
[94] cov
[80] âž
[51] wiv1
[45] human
[42] bidolinicola
[40] tlr4
[37] ðÿž
[37] similar

Top Words in Tweet in G5:
[3] f_philippot
[3] sars
[3] cov
[2] virus
[2] nâ
[2] dã
[2] oui
[2] jamais

Top Words in Tweet in G6:
[3] cov
[2] adreyzen
[2] hopeseekr
[2] wuhan
[2] iv
[2] paper
[2] study
[2] combining
[2] hiv
[2] based

Top Words in Tweet in G7:
[39] cleavage
[37] furin
[37] site
[37] 和我报告写的一致
[36] drlimengyan1
[31] data
[21] suggested
[20] 知识点
[20] 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
[20] 可导致sars1感染力增强

Top Words in Tweet in G8:
[36] vax
[36] personnes
[35] tidiane84101146
[35] d'ailleurs
[35] fait
[35] d'imposer
[35] même
[35] aux
[35] ont
[35] ac

Top Words in Tweet in G9:
[22] sars
[22] cov
[12] vaccine
[11] covid
[9] nickiminaj
[7] 19
[7] mers
[6] 2003
[5] vaccines
[4] type

Top Words in Tweet in G10:
[38] spike
[35] virusesimmunity
[29] disease
[28] anti
[28] worse
[27] cautionary
[27] tale
[27] antibody
[27] make
[27] covid

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7003] sars,cov
[5850] covid,19
[5750] 19,sars
[5713] covid,vaccine
[5710] berbuih,mulut
[5710] mulut,bagitau
[5710] bagitau,coronavirus
[5710] coronavirus,dah
[5710] dah,lama
[5710] lama,covid

Top Word Pairs in Tweet in G1:
[5699] covid,19
[5699] sars,cov
[5698] berbuih,mulut
[5698] mulut,bagitau
[5698] bagitau,coronavirus
[5698] coronavirus,dah
[5698] dah,lama
[5698] lama,covid
[5698] covid,vaccine
[5698] vaccine,boleh

Top Word Pairs in Tweet in G2:
[122] sars,cov
[48] missed,long
[48] long,time
[48] time,sars
[48] cov,found
[48] found,farmed
[48] farmed,civets
[48] civets,outside
[48] outside,wuhan
[48] wuhan,back

Top Word Pairs in Tweet in G3:
[209] sars,cov
[60] î,î
[17] cov,sars
[12] covid,19
[11] ø,ø
[10] mers,cov
[10] cov,coronavirus
[8] nih,funded
[8] funded,wuhan
[8] wuhan,study

Top Word Pairs in Tweet in G4:
[52] sars,cov
[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

Top Word Pairs in Tweet in G5:
[3] sars,cov

Top Word Pairs in Tweet in G6:
[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
[2] system,cell

Top Word Pairs in Tweet in G7:
[37] furin,cleavage
[37] cleavage,site
[21] data,suggested
[20] 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
[20] 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
[20] site,可导致sars1感染力增强
[20] 可导致sars1感染力增强,和我报告写的一致
[20] 和我报告写的一致,所以sars2有这个位点是实验室来源证据
[20] 所以sars2有这个位点是实验室来源证据,data
[19] drlimengyan1,知识点

Top Word Pairs in Tweet in G8:
[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 Word Pairs in Tweet in G9:
[19] sars,cov
[7] covid,19
[4] cov,mers
[4] type,vaccines
[3] cov,sars
[3] around,2003
[3] cov,covid
[3] mers,cov
[2] 19,sars
[2] cov,around

Top Word Pairs in Tweet in G10:
[28] anti,spike
[28] disease,worse
[27] cautionary,tale
[27] tale,anti
[27] spike,antibody
[27] antibody,make
[27] make,covid
[27] covid,disease
[27] worse,study
[27] study,authors

Top Replied-To
Top Replied-To in Entire Graph:
@daveatkinsonmd
@ayjchan
@reneemcdowell
@nickiminaj
@stgoldst
@pathogenetics
@danielginerman
@sizwelo
@id_ethics
@amandamoraes500

Top Replied-To in G2:
@daveatkinsonmd
@ayjchan
@stgoldst
@pathogenetics
@stuartjdneil
@darachm
@inthebarberry
@marionkoopmans
@michaelworobey
@monarahalkar

Top Replied-To in G3:

Top Replied-To in G4:
@alexisbadenmaye
@janieyaya
@veryvirology
@bobvanwagner1
@bidolinicola
@matthew09412243
@nessabella12
@rubic3n
@farmaceuticoac1

Top Replied-To in G5:
@hlnethomasson1
@stphani77858269
@kilennico

Top Replied-To in G6:
@hopeseekr
@pawley_robert

Top Replied-To in G7:
@quay_dr

Top Replied-To in G8:
@tidiane84101146

Top Replied-To in G9:
@nickiminaj
@keeskeesgoose
@wolfrae__
@sagittarius_nik
@realcandaceo
@ellbaker2003
@summer80698016
@chriz_f
@sarahburris
@jasonjordan2814

Top Mentioned
Top Mentioned in Entire Graph:
@aaannoyed
@stgoldst
@bidolinicola
@drlimengyan1
@martinasisters
@virusesimmunity
@mariogom1984
@tidiane84101146
@maajidnawaz
@r_h_ebright

Top Mentioned in G1:
@aaannoyed

Top Mentioned in G2:
@stgoldst
@r_h_ebright
@daoyu15
@hayesluk
@princetongb
@counterpopp
@snupsnus
@mrandersoninneo
@stuartjdneil
@pityu7070

Top Mentioned in G3:
@namikof
@drlboominathan
@imetatronink

Top Mentioned in G4:
@bidolinicola
@martinasisters
@matahar65552943
@sudarshanchate2
@__ice9
@dharmen46587056
@drakchaurasia
@janieyaya
@menabster
@inabster

Top Mentioned in G5:
@f_philippot
@vellave43
@gira_michel
@beerussamarange
@toivoar1092
@a_rappel
@adv_in21
@gregorovytch
@filemon_c

Top Mentioned in G6:
@adreyzen
@hopeseekr
@rtheatheist
@j_empyreangoals
@nyob7714
@bebert701
@mdrisette
@nycweatherrepor
@d_a_keldsen
@wjack76995

Top Mentioned in G7:
@drlimengyan1
@quay_dr
@baobaoxiaoliao

Top Mentioned in G8:
@mariogom1984
@tidiane84101146

Top Mentioned in G9:
@nickiminaj
@gpgomez
@iamnormaniola
@queenssonly
@biker_dc
@kurteichenwald
@madmark11
@scottpresler
@mrs6ixx
@pianetwhoree

Top Mentioned in G10:
@virusesimmunity
@bidolinicola

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@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:
@jjauthor
@bassaces1
@demiurgotuiter
@ghostcatbce
@usatoday
@huffpostpol
@beyerstein
@k3mos4b3
@helentuttle
@christina_21700

Top Tweeters in G3:
@infoitsalute
@blackphysicists
@astratv1
@hntweets
@f14a10rqly
@ians_india
@heradrasteia
@winsontang
@smiura3000
@bernamatv

Top Tweeters in G4:
@inabster
@menabster
@monty_chadha
@navroopsingh_
@barandaand
@elalam_vnz
@ros1er
@manu_k_tala
@manuell12700597
@jorgemcr200491

Top Tweeters in G5:
@vincentjappi
@reveident
@ebenyaakov
@betramaurice
@kilennico
@wargonm
@bastetgeraud
@gocentrique
@parisonalain
@adv_in21

Top Tweeters in G6:
@lizditz
@wjack76995
@mcfunny
@jsaholmes
@wendyorent
@carlsmythe
@rodfair2
@d_a_keldsen
@alex_on_a14
@nyob7714

Top Tweeters in G7:
@may_j278094
@2hbugf2xcwwblkj
@theanalytic
@ccpvirus_
@sadboyhere
@angiequa
@vnintucx34vklvq
@brynnrothchill
@sward_of
@sonkoubun

Top Tweeters in G8:
@lagrosta
@edira2
@lau68951920
@erayeye
@4litanglilou67
@poussantg
@yannick_stopyra
@morelightshine
@weber_web
@bearmaximilien

Top Tweeters in G9:
@hannabec
@kurteichenwald
@sarahburris
@scottpresler
@mrbandman223s
@nickiminaj
@jasonjordan2814
@wolfrae__
@kimmetalguitars
@gpgomez

Top Tweeters in G10:
@gmelody1
@lindaquackenbus
@bea_elisa
@alakaanti2014
@wazzupwa
@non_corporate
@lpassess
@goduniversalluv
@uno_bandit
@documentavi