SARS-COV, Twitter, 9/11/2022 4:07:12 PM, 281724


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SARS-COV_2022-09-11_02-51-16.xlsx
SARS-COV_2022-09-11_02-51-16.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 11, 2022
Short Description:
SARS-COV via NodeXL https://bit.ly/3TZYLku
@dandrea8d
@2dedostesta2
@atomskssanakan
@maureenstroud
@scottstocker4
@deltoromdpr
@erictopol
@byrneluc
@lastword4me2a
@woke_af_n0b0dy

Top hashtags:
#fetp
#covid19
#esccongress
#omicron
#dnavaccine
#tcells
#medias

Description:
Description
The graph represents a network of 1,097 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, 11 September 2022 at 09:52 UTC.

The requested start date was Sunday, 11 September 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 11-day, 21-hour, 54-minute period from Sunday, 28 August 2022 at 00:12 UTC to Thursday, 08 September 2022 at 22:06 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 : 1097
Unique Edges : 616
Edges With Duplicates : 1242
Total Edges : 1858
Number of Edge Types : 5
Retweet : 419
MentionsInRetweet : 571
Replies to : 156
Mentions : 618
Tweet : 94
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0.00357142857142857
Reciprocated Edge Ratio : 0.00711743772241993
Connected Components : 189
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 184
Maximum Edges in a Connected Component : 368
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.41963
Graph Density : 0.00093486549248448
Modularity : 0.603746
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,097 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, 11 September 2022 at 09:52 UTC.

The requested start date was Sunday, 11 September 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 11-day, 21-hour, 54-minute period from Sunday, 28 August 2022 at 00:12 UTC to Thursday, 08 September 2022 at 22:06 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] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2930868-0%2Ffulltext&rc=0
[3] https://pubs.acs.org/doi/10.1021/acs.langmuir.2c00671
[2] https://www.science.org/doi/10.1126/science.abd4250?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
[2] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[2] https://bit.ly/3D1wsfo
[2] https://twitter.com/TomasoAntonacci/status/1520767384713322496?t=axSo9ekD5x7dNikW7ESqFg&s=19
[2] https://m-cam.com/wp-content/uploads/2020/04/20200403_SARS_CoV_Patent_Corpus_Lit_Review.pdf
[2] https://blog.goo.ne.jp/xvcov1/e/8513dfdec9db70d17f7c150fe4d24618

Top URLs in Tweet in G2:
[2] https://patents.google.com/patent/US6593111B2/en
[2] https://www.pnas.org/doi/epdf/10.1073/pnas.1735582100
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2660061/
[1] https://twitter.com/2dedostesta2/status/1564642742176735233
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fnm.3985
[1] https://twitter.com/jhas5/status/1563897439135928320
[1] https://twitter.com/2dedostesta2/status/1566824101028790272
[1] https://twitter.com/2dedostesta2/status/1503845238351220736?s=21&t=P9JmLqt-Dmlfih2j6Xg4wQ
[1] https://twitter.com/KeithEv84928885/status/1567584333363290118
[1] https://www.nature.com/articles/s41598-018-33487-8

Top URLs in Tweet in G4:
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2930868-0%2Ffulltext&rc=0

Top URLs in Tweet in G5:
[1] https://www.reuters.com/legal/government/wait-what-fda-wants-55-years-process-foia-request-over-vaccine-data-2021-11-18/

Top URLs in Tweet in G6:
[2] https://fai.informazione.it/daiblog/A4AC7A22-CEDD-4A46-8201-6AA58670A82B/Covid-e-pratiche-di-gestione-della-sicurezza-degli-alimenti-HACCP
[1] https://insight.jci.org/articles/view/123158#.Ywwoj6mO7Q4.twitter
[1] https://twitter.com/doctor_oxford/status/1563814099078766592
[1] https://www.nature.com/
[1] https://www.nature.com/articles/s41598-022-18302-9
[1] https://twitter.com/indehisce/status/1564362059009216520
[1] https://dserver.bundestag.de/btd/17/120/1712051.pdf
[1] https://www.sciencedirect.com/science/article/pii/S1879625712000715
[1] https://www.youtube.com/watch?v=eJy-xrqskTg&feature=youtu.be

[1] https://www.mdpi.com/1999-4915/14/9/1930/htm

Top URLs in Tweet in G8:
[1] https://journals.sagepub.com/doi/full/10.1177/0300985820980842
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC249267/pdf/jvirol00058-0453.pdf

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[12] fetp
[5] covid19
[4] esccongress
[3] omicron
[3] dnavaccine
[3] tcells
[3] medias
[3] mainstream
[3] especialcoronavirus
[3] vacunas



Top Hashtags in Tweet in G3:
[1] covidisairborne
[1] maskup

Top Hashtags in Tweet in G6:
[1] biotechnology
[1] sarscov2_timeline
[1] historical_precedent
[1] sars1
[1] circulation_model
[1] group1
[1] circulation_theory
[1] coronavirus
[1] lissone
[1] certificazione

Top Words
Top Words in Tweet in Entire Graph:
[687] sars
[669] cov
[366] perché
[196] devi
[187] ad
[187] fatto
[186] hai
[185] chiarire
[185] dinanzi
[185] tribunale

Top Words in Tweet in G1:
[358] perché
[180] ad
[180] hai
[180] fatto
[179] devi
[179] chiarire
[179] dinanzi
[179] tribunale
[179] militare
[179] sparire

Top Words in Tweet in G2:
[39] cov
[35] sars
[9] pathogenetics
[6] michaelworobey
[6] bat
[6] cleavage
[5] jbkinney
[5] use
[5] site
[5] ace2

Top Words in Tweet in G3:
[116] 22
[116] 000
[58] average
[58] humans
[58] take
[58] breath
[58] day
[58] means
[58] sars
[58] cov

Top Words in Tweet in G4:
[14] virus
[7] sars
[6] mcfunny
[6] viral
[6] cov
[4] coronavirus
[4] fornowago
[3] cyclowarrior
[3] steveskojec
[3] many

Top Words in Tweet in G5:
[2] raven4212
[2] medwoman1
[2] kittygrumble
[2] bentdepraved
[2] amyrali16
[2] felix_cat7
[2] willsworldview
[2] rossgilroy
[2] stilldizzy2
[2] haircutspock

Top Words in Tweet in G6:
[64] sars
[56] cov
[33] ç
[30] ãƒ
[22] ϋ
[21] æ
[9] come
[9] ペã
[8] covid
[8] covã

Top Words in Tweet in G7:
[2] pig
[2] factory
[2] farms

Top Words in Tweet in G8:
[33] gabinjean3
[33] article
[32] theveto3
[28] rã
[26] perso
[26] j'aime
[26] bien
[26] cet
[26] synthã
[26] linda

Top Words in Tweet in G10:
[32] ma
[16] szampa56
[16] robersperanza
[16] devi
[16] vaccinare
[16] più
[16] vuoi
[16] pandemia
[16] finita
[16] varianti

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[645] sars,cov
[186] hai,fatto
[185] chiarire,dinanzi
[185] dinanzi,ad
[185] ad,tribunale
[185] tribunale,militare
[185] militare,perché
[185] perché,hai
[185] fatto,sparire
[185] sparire,piano

Top Word Pairs in Tweet in G1:
[180] hai,fatto
[179] devi,chiarire
[179] chiarire,dinanzi
[179] dinanzi,ad
[179] ad,tribunale
[179] tribunale,militare
[179] militare,perché
[179] perché,hai
[179] fatto,sparire
[179] sparire,piano

Top Word Pairs in Tweet in G2:
[33] sars,cov
[5] cleavage,site
[4] protonicstorm,pathogenetics
[4] pathogenetics,0bj3ctivity
[4] 0bj3ctivity,eduengineer
[4] eduengineer,wired
[4] wired,sergeilkp
[4] sergeilkp,kumar_lab
[4] kumar_lab,michaelworobey
[4] michaelworobey,sciencemagazine

Top Word Pairs in Tweet in G3:
[116] 22,000
[58] average,humans
[58] humans,take
[58] take,22
[58] 000,breath
[58] breath,day
[58] day,means
[58] means,sars
[58] sars,cov
[58] cov,22

Top Word Pairs in Tweet in G4:
[6] sars,cov
[3] cyclowarrior,mcfunny
[3] mcfunny,steveskojec
[3] steveskojec,many
[3] many,viral
[3] viral,diseases
[3] diseases,sars
[3] cov,middle
[3] middle,east
[3] east,respiratory

Top Word Pairs in Tweet in G5:
[2] raven4212,medwoman1
[2] medwoman1,kittygrumble
[2] kittygrumble,bentdepraved
[2] bentdepraved,amyrali16
[2] amyrali16,felix_cat7
[2] felix_cat7,willsworldview
[2] willsworldview,rossgilroy
[2] rossgilroy,stilldizzy2
[2] stilldizzy2,haircutspock
[2] haircutspock,simple_shaman

Top Word Pairs in Tweet in G6:
[53] sars,cov
[9] ãƒ,ペã
[8] ペã,ãƒ
[7] ç,æ
[7] ϋ,ϋ
[6] æ,ç
[6] ÿæÿ,ç
[6] ãƒ,ãƒ
[5] degli,alimenti
[5] ç,ç

Top Word Pairs in Tweet in G7:
[2] pig,factory
[2] factory,farms

Top Word Pairs in Tweet in G8:
[26] gabinjean3,perso
[26] perso,j'aime
[26] j'aime,bien
[26] bien,cet
[26] cet,article
[26] article,synthã
[26] synthã,linda
[26] linda,saif
[26] saif,dernier
[26] dernier,auteur

Top Word Pairs in Tweet in G10:
[16] szampa56,robersperanza
[16] robersperanza,ma
[16] ma,devi
[16] devi,vaccinare
[16] vaccinare,più
[16] più,ma
[16] ma,vuoi
[16] vuoi,pandemia
[16] pandemia,finita
[16] finita,varianti

Top Replied-To
Top Replied-To in Entire Graph:
@protonicstorm
@monarahalkar
@lulaoficial
@valere_ia
@jhas5
@cyclowarrior
@palbergstrom
@gabinjean3
@inwuchang
@randfanshier

Top Replied-To in G2:
@protonicstorm
@jhas5
@inwuchang
@squid89_93
@randfanshier
@emmecola
@acritschristoph
@blockedvirology
@pathogenetics
@davidbahry

Top Replied-To in G4:
@cyclowarrior
@fornowago
@amybeephoenix
@provaxtexan
@pouldeau61

Top Replied-To in G5:
@raven4212
@a_damned_smith

Top Replied-To in G6:

Top Replied-To in G7:
@crazyreii

Top Replied-To in G8:
@gabinjean3

Top Replied-To in G9:
@chalumo

Top Replied-To in G10:
@szampa56

Top Mentioned
Top Mentioned in Entire Graph:
@dandrea8d
@deltoromdpr
@theveto3
@gabinjean3
@robersperanza
@johntuld1
@szampa56
@tephinet
@nias2013
@chancegardiner

Top Mentioned in G1:
@dandrea8d

Top Mentioned in G2:
@pathogenetics
@michaelworobey
@jbkinney
@r_h_ebright
@0bj3ctivity
@eduengineer
@wired
@sergeilkp
@kumar_lab
@sciencemagazine

Top Mentioned in G3:
@deltoromdpr

Top Mentioned in G4:
@mcfunny
@steveskojec
@breezergalway
@doritmi
@jkelleyk
@idunsdaughter
@jimeeliberty
@barryjohnreid21
@ogilville1
@krebiozen

Top Mentioned in G5:
@medwoman1
@kittygrumble
@bentdepraved
@amyrali16
@felix_cat7
@willsworldview
@rossgilroy
@stilldizzy2
@haircutspock
@simple_shaman

Top Mentioned in G6:
@sixandlaura
@lily9_mj3
@elperiodista

Top Mentioned in G7:
@danstraitiam
@tj_onfire
@smashli1228
@skepticsplinter
@logicnreason22
@netvoke
@jgainsbourgh
@stevieanntas
@sw_hi_coo
@ohginger_snaps

Top Mentioned in G8:
@theveto3
@gabinjean3
@drpguerin

Top Mentioned in G9:
@freemin24465256
@bonsens47865369
@sylvestertiti
@gvaleau
@veritasnobis
@rosewood2019
@guisonjerome
@johnalfredmorg1
@alizerenault1
@sebastienaeko

Top Mentioned in G10:
@robersperanza
@johntuld1
@szampa56

Top Tweeters
Top Tweeters in Entire Graph:
@5fec93919a544d3
@sonialavera
@fainformazione
@frecklesxx20
@brendaperrott
@guardian
@g1
@9hurne5npvq7p5h
@bfmtv
@ele9061

Top Tweeters in G1:
@ele9061
@adrianobusolin
@a_meluzzi
@gabrillasarti2
@nath67lic
@aspettaaspetta
@marcuspascal1
@obonomi
@steppenwolf1976
@s_soldato_maria

Top Tweeters in G2:
@theatlantic
@biorealism
@wired
@0bj3ctivity
@wendyorent
@joshrosenau
@squid89_93
@r_h_ebright
@fred_connect
@mnt

Top Tweeters in G3:
@5fec93919a544d3
@frecklesxx20
@brendaperrott
@newyorknewart
@dianahollins
@caesura30
@kim_crawley
@elle_v__
@showboat7
@mxsara

Top Tweeters in G4:
@doritmi
@monstercoyliar
@mcfunny
@breezergalway
@angryfleas
@atomskssanakan
@geoffschuler
@andrewlazarus4
@itisjustmebabe
@pawley_robert

Top Tweeters in G5:
@vincegottalotta
@medwoman1
@zypisfy
@cern_lxxl
@thelivingkira
@orna_verum
@theredshift11
@praisehisname50
@wolfpak561
@secularsandwich

Top Tweeters in G6:
@fainformazione
@tian_a1
@myjournals
@fainfosalute
@reteimprese
@js_ecoha
@bucurestifm
@sixandlaura
@elperiodista
@shonankb

Top Tweeters in G7:
@stevieanntas
@reneebrown1966
@atriana
@fakedanweber
@jgainsbourgh
@shesus__christ
@smashli1228
@tj_onfire
@unionwoman226
@dcffk

Top Tweeters in G8:
@william85837998
@mamititi31
@xavier40700514
@botantipass
@mag6212
@natilo999
@dover63a
@samuel40057369
@richardegdom
@darkifranky

Top Tweeters in G9:
@senat
@alizeerenault
@anothergenro
@achilledamu
@assembleenat
@rosewood2019
@gvaleau
@odieux_vulgaire
@guisonjerome
@sebastienaeko

Top Tweeters in G10:
@daniele19921
@renzocianchetti
@paolo_adp10
@diacronicomurra
@romanatom
@theskeptical_
@avv_gr
@ppr_11
@marilen11936584
@szampa56