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SARS-NCOV_2021-09-17_02-57-28.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
September 17, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3tQjmLJ
@jsaholmes
@mcfunny
@docrussjackson
@andylumm
@dvx_ardorensis
@micheal_olainn
@oliveblogs
@atomskssanakan
@vickimahony
@luquetsabine

Top hashtags:
#covid19
#coronavirus
#covid
#ncov
#corona
#novel
#novelcoronavirus
#sars

Description:
Description
The graph represents a network of 1,715 Twitter users whose tweets in the requested range contained "SARS-NCOV", 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 09:59 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, 10-hour, 8-minute period from Friday, 03 September 2021 at 02:15 UTC to Thursday, 16 September 2021 at 12:24 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 : 1715
Unique Edges : 1118
Edges With Duplicates : 1285
Total Edges : 2403
Number of Edge Types : 5
Replies to : 330
Mentions : 1008
Retweet : 377
MentionsInRetweet : 502
Tweet : 186
Self-Loops : 219
Reciprocated Vertex Pair Ratio : 0.00867244829886591
Reciprocated Edge Ratio : 0.0171957671957672
Connected Components : 351
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 150
Maximum Edges in a Connected Component : 394
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.891354
Graph Density : 0.000514371442859524
Modularity : 0.640017
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,715 Twitter users whose tweets in the requested range contained "SARS-NCOV", 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 09:59 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, 10-hour, 8-minute period from Friday, 03 September 2021 at 02:15 UTC to Thursday, 16 September 2021 at 12:24 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-NCOV
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:
[130] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[53] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[16] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[13] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10623-covid19-57.html
[12] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fmore%2Fmasking-science-sars-cov2.html
[11] https://www.who.int/news-room/q-a-detail/coronavirus-disease-covid-19-how-is-it-transmitted
[9] https://www.pnas.org/content/118/4/e2014564118
[8] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1619456988446

Top URLs in Tweet in G1:
[1] https://nextstrain.org/ncov/gisaid/global
[1] https://www.nytimes.com/interactive/2021/world/covid-vaccinations-tracker.html

Top URLs in Tweet in G2:
[16] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10623-covid19-57.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[2] https://www.bmj.com/content/374/bmj.n1931
[2] https://pubs.acs.org/doi/10.1021/acscentsci.1c00080?cookieSet=1
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-info.html
[2] https://nextstrain.org/ncov/open/global
[2] https://journals.scholarsportal.info/search?q=((COVID-19)%20OR%20(coronavirus)%20OR%20(2019-nCoV)%20OR%20(SARS-CoV-2))&search_in=anywhere&op=AND&q=2021-09-14&search_in=LD

Top URLs in Tweet in G3:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G4:
[1] https://onlinelibrary.wiley.com/doi/full/10.1002/jmv.25990?cookieSet=1
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2820%2930114-6%2Ffulltext%3Famp%253Bamp%253Bqid%3D97638790&rc=0
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://twitter.com/AtomsksSanakan/status/1437902319471972361
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html

Top URLs in Tweet in G5:
[4] https://www.pasteur.fr/fr/espace-presse/documents-presse/institut-pasteur-isole-souches-du-coronavirus-2019-ncov-detecte-france
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://twitter.com/gg3428/status/1430804157120843776

Top URLs in Tweet in G6:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests.html

Top URLs in Tweet in G8:
[7] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html#covid-19-children-adolescents
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html
[1] https://twitter.com/newstalkfm/status/1437072780273623047
[1] https://www.pnas.org/content/118/4/e2014564118
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fmore%2Fmasking-science-sars-cov2.html

Top URLs in Tweet in G9:
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fmore%2Fmasking-science-sars-cov2.html#anchor_1619457332454
[1] https://twitter.com/bikeme4ever/status/1434707172580020224

Top URLs in Tweet in G10:
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[1] https://twitter.com/nhk_news/status/1437370228107669505
[1] https://twitter.com/Derive_ip/status/1437380428738949121

Top Domains
Top Domains in Tweet in Entire Graph:
[358] cdc.gov
[32] scholarsportal.info
[28] twitter.com
[23] go.jp
[20] who.int
[12] pnas.org
[12] nih.gov
[12] nextstrain.org
[7] nature.com
[6] gob.es

Top Domains in Tweet in G1:
[1] nextstrain.org
[1] nytimes.com

Top Domains in Tweet in G2:
[32] scholarsportal.info
[31] cdc.gov
[13] go.jp
[7] twitter.com
[4] nextstrain.org
[2] abeomics.com
[2] pnas.org
[2] nih.gov
[2] bmj.com
[2] acs.org

Top Domains in Tweet in G3:
[3] cdc.gov

Top Domains in Tweet in G4:
[2] cdc.gov
[1] wiley.com
[1] elsevierhealth.com
[1] twitter.com

Top Domains in Tweet in G5:
[4] pasteur.fr
[3] cdc.gov
[1] twitter.com

Top Domains in Tweet in G6:
[2] cdc.gov

Top Domains in Tweet in G8:
[9] cdc.gov
[1] twitter.com
[1] pnas.org

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

Top Domains in Tweet in G10:
[4] cdc.gov
[2] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[71] covid19
[50] coronavirus
[45] covid
[44] ncov
[42] corona
[40] novel
[37] novelcoronavirus
[37] sars
[35] 2019ncov
[35] japan



Top Hashtags in Tweet in G2:
[19] covid19
[17] sarscov2
[3] sars_cov_2
[3] genome
[3] sequences
[2] rtalb
[2] variants
[2] phylogeny
[1] monoclonal
[1] vtcnews

Top Hashtags in Tweet in G5:
[1] covidiot

Top Words
Top Words in Tweet in Entire Graph:
[401] sars
[354] cov
[229] ncov
[217] 19
[143] virus
[140] ãƒ
[139] cdc
[132] æ
[125] covid
[103] chadox1

Top Words in Tweet in G1:
[75] dvx_ardorensis
[67] związek
[67] między
[67] szczepieniem
[67] chadox1
[67] ncov
[67] 19
[67] epizodami
[67] krwawienia
[67] duże

Top Words in Tweet in G2:
[64] cov
[62] sars
[59] æ
[58] covid
[56] 19
[47] ãƒ
[35] ç
[34] ncov
[32] articles
[32] scholars

Top Words in Tweet in G3:
[5] pcr
[4] sars
[4] cov
[3] test
[3] influenza
[2] still
[2] thehill
[2] presence
[2] same
[2] cdc

Top Words in Tweet in G4:
[3] asinister
[3] jr4_truth
[3] alphavccoms
[3] danielkuhn1975
[3] automatrix66_kc
[3] jaisans
[3] brknman
[3] odyssey_bow
[3] asymptomatic
[3] cases

Top Words in Tweet in G5:
[17] sars
[16] 2019
[15] ncov
[14] cov2
[8] n'est
[7] pasteur
[6] tout
[6] butoveronique
[4] sars_cov_21
[4] parle

Top Words in Tweet in G6:
[4] nornenland
[4] fynnderella1
[4] cindita_26
[4] candice60896290
[4] colarchon
[4] fantasticmusic
[4] ragusaecomites
[4] bobkenny62
[3] revmikemenkes
[2] kksheld

Top Words in Tweet in G7:
[8] bebert701
[8] smashcarm
[8] thatsnotmine125
[8] alex_on_a14
[7] burgerlab12
[7] mdrisette
[7] chrisjohnsonmd
[7] andylumm
[7] ginapro
[5] pawley_robert

Top Words in Tweet in G8:
[32] wearing
[31] mask
[31] significant
[31] adverse
[31] health
[31] effects
[31] wearers
[31] useful
[31] indoor
[31] crowded

Top Words in Tweet in G9:
[13] cdcgov
[5] studies
[4] updated
[4] sars
[4] cov
[4] transmission
[4] cdc
[3] isolation
[3] guidance
[3] concludes

Top Words in Tweet in G10:
[27] cov
[18] アストラゼネカワクチンchadox1
[18] ncov
[18] 19
[18] azd1222
[18] はsars
[18] 2のspike
[18] proteinをコードしたアデノウイルスベクターワクチンであり
[18] これまでに5億本以上が160か国以上で使用されている
[17] influenzer3

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[322] sars,cov
[122] ncov,19
[102] chadox1,ncov
[91] covid,19
[67] związek,między
[67] między,szczepieniem
[67] szczepieniem,chadox1
[67] 19,epizodami
[67] epizodami,krwawienia
[67] krwawienia,duże

Top Word Pairs in Tweet in G1:
[67] związek,między
[67] między,szczepieniem
[67] szczepieniem,chadox1
[67] chadox1,ncov
[67] ncov,19
[67] 19,epizodami
[67] epizodami,krwawienia
[67] krwawienia,duże
[67] duże,populacyjne
[67] populacyjne,badanie

Top Word Pairs in Tweet in G2:
[59] sars,cov
[38] covid,19
[32] scholars,portal
[18] drml350phd,interesting
[17] ç,æ
[17] chadox1,ncov
[17] ncov,19
[16] 2021,09
[16] articles,covid
[16] 19,scholars

Top Word Pairs in Tweet in G3:
[4] sars,cov
[2] cov,test
[2] test,presence

Top Word Pairs in Tweet in G4:
[3] automatrix66_kc,jaisans
[3] jaisans,brknman
[3] brknman,odyssey_bow
[3] asymptomatic,cases
[3] sars,cov
[2] asinister,jr4_truth
[2] jr4_truth,alphavccoms
[2] alphavccoms,danielkuhn1975
[2] danielkuhn1975,colepram
[2] colepram,automatrix66_kc

Top Word Pairs in Tweet in G5:
[15] 2019,ncov
[14] sars,cov2
[4] limpbizkit1465,butoveronique
[4] butoveronique,kevinantitroll1
[4] kevinantitroll1,playthunderwolf
[4] playthunderwolf,philippemayor1
[4] philippemayor1,baixmaryse
[4] baixmaryse,christe17511452
[3] l'institut,pasteur
[3] christe17511452,vlfmichael

Top Word Pairs in Tweet in G6:
[4] nornenland,fynnderella1
[4] fynnderella1,cindita_26
[4] cindita_26,candice60896290
[4] candice60896290,colarchon
[4] colarchon,fantasticmusic
[4] fantasticmusic,ragusaecomites
[4] ragusaecomites,bobkenny62
[3] revmikemenkes,nornenland
[2] bobkenny62,ireland20â

Top Word Pairs in Tweet in G7:
[7] thatsnotmine125,alex_on_a14
[5] pawley_robert,maureenstroud
[5] maureenstroud,barryjohnreid21
[5] barryjohnreid21,browningneelyn
[4] burgerlab12,bebert701
[4] bebert701,mdrisette
[4] mdrisette,chrisjohnsonmd
[4] chrisjohnsonmd,andylumm
[4] andylumm,smashcarm
[4] smashcarm,ginapro

Top Word Pairs in Tweet in G8:
[31] mask,wearing
[31] wearing,significant
[31] significant,adverse
[31] adverse,health
[31] health,effects
[31] effects,wearers
[31] wearers,useful
[31] useful,indoor
[31] indoor,crowded
[31] crowded,poorly

Top Word Pairs in Tweet in G9:
[4] sars,cov
[3] updated,isolation
[3] isolation,guidance
[3] guidance,cdcgov
[3] cdcgov,concludes
[3] concludes,date
[3] date,studies
[3] studies,sars
[3] cov,transmission
[3] transmission,found

Top Word Pairs in Tweet in G10:
[18] アストラゼネカワクチンchadox1,ncov
[18] ncov,19
[18] 19,azd1222
[18] azd1222,はsars
[18] はsars,cov
[18] cov,2のspike
[18] 2のspike,proteinをコードしたアデノウイルスベクターワクチンであり
[18] proteinをコードしたアデノウイルスベクターワクチンであり,これまでに5億本以上が160か国以上で使用されている
[17] influenzer3,アストラゼネカワクチンchadox1
[9] 空気感染,と書いてないから分からなかったのかも

Top Replied-To
Top Replied-To in Entire Graph:
@tgpalmer64
@reusvisser
@limpbizkit1465
@richmuny
@smashcarm
@kcrg
@doppel_hans
@andgrateful
@imaddinedz

Top Replied-To in G2:

Top Replied-To in G3:
@bottomleyfiona
@dibby29118520
@celtics592448

Top Replied-To in G4:
@asinister
@jr4_truth

Top Replied-To in G5:
@limpbizkit1465
@doppel_hans
@nandiux
@marie_shakti
@sweetdarkchocol
@helete_k_maras
@solangelavie
@hugodelire1978
@changnoy

Top Replied-To in G6:
@keithca94807318
@nornenland

Top Replied-To in G7:
@smashcarm
@burgerlab12
@thatsnotmine125

Top Replied-To in G9:
@palomo_ramon
@deanmachine16
@matt62119304
@kprather88
@barryhunt008
@noillusions3
@bikeme4ever

Top Replied-To in G10:
@derive_ip
@zhukov2004

Top Mentioned
Top Mentioned in Entire Graph:
@dvx_ardorensis
@docrussjackson
@vivekpandey21
@drml350phd
@influenzer3
@toddzywicki
@cdcgov
@cnn
@psychedelicname
@microscopicture

Top Mentioned in G1:
@dvx_ardorensis

Top Mentioned in G2:
@drml350phd
@marieaaow

Top Mentioned in G3:
@thehill
@willyanderson31
@andrewlazarus4
@janedryden4
@_mamadeb
@rosepoptosis
@takethatct
@chucktod_goatee
@tony__heller
@lauradekker1

Top Mentioned in G4:
@alphavccoms
@danielkuhn1975
@automatrix66_kc
@jaisans
@brknman
@odyssey_bow
@asinister
@jr4_truth
@colepram
@kenneth72712993

Top Mentioned in G5:
@butoveronique
@kevinantitroll1
@playthunderwolf
@philippemayor1
@baixmaryse
@christe17511452
@vlfmichael
@villard82987534
@vivrelibre17
@luquetsabine

Top Mentioned in G6:
@fynnderella1
@cindita_26
@candice60896290
@colarchon
@fantasticmusic
@ragusaecomites
@bobkenny62
@revmikemenkes
@nornenland
@kksheld

Top Mentioned in G7:
@bebert701
@alex_on_a14
@mdrisette
@chrisjohnsonmd
@andylumm
@ginapro
@thatsnotmine125
@burgerlab12
@smashcarm
@pawley_robert

Top Mentioned in G8:
@docrussjackson
@vickimahony
@oliveblogs
@panda31808732
@drericding

Top Mentioned in G9:
@cdcgov
@alexander_tin
@kprather88
@monicapwallace
@danirohr338
@victoriawrites3
@ksorbs
@facebrand
@jennifernbc4
@nbc4i

Top Mentioned in G10:
@influenzer3
@nakane273

Top Tweeters
Top Tweeters in Entire Graph:
@ecodaren
@matiere
@citrus_kyoto
@lizditz
@thehill
@marthalynneowe1
@johnjoechad
@scott1984fp
@noriesun
@mohsinmalvi19

Top Tweeters in G1:
@anakreontyk
@ssr57
@henkur60
@wojciechm
@edialekto
@yatsa_man
@burasmarula
@gracja_
@blablab78594180
@sawiczsulima

Top Tweeters in G2:
@matiere
@yasu_yasuno_sa
@stiripesurse_ro
@fujikurok
@fobosmkz
@capanda
@shinobu_libra
@lai_dama
@masa64bits
@kuma_kichi_1q63

Top Tweeters in G3:
@thehill
@_mamadeb
@tony__heller
@littlelishka
@johnmarcmail
@takethatct
@dawntj90
@frankdelia7
@mcfunny
@joltdude

Top Tweeters in G4:
@friendsoscience
@oscarswild1
@asinister
@fillmorewhite
@roypentland
@veritatem2021
@atomskssanakan
@paprikalady
@ejwwest
@librumtinia

Top Tweeters in G5:
@a_meluzzi
@loulali8
@solangelavie
@limpbizkit1465
@arikouts
@mammiebocockiq
@villard82987534
@lauregonlezamar
@marie_shakti
@xelibris

Top Tweeters in G6:
@ireland2020
@sassychickie
@emmakennytv
@fantasticmusic
@nornenland
@kksheld
@plasticmoney888
@drtessat
@bobkenny62
@rdvalerie

Top Tweeters in G7:
@lizditz
@wjack76995
@jsaholmes
@madlovemomma
@rodfair2
@alex_on_a14
@nyob7714
@chrisjohnsonmd
@andylumm
@pawley_robert

Top Tweeters in G8:
@johnjoechad
@caz5697
@nniina_
@dancygeorgia
@arthurm40159518
@docrussjackson
@micheal_olainn
@amusedrice
@mcdee_andy
@andyparrott1

Top Tweeters in G9:
@cancercurenow
@nbc4i
@erinescence
@laurirose
@palomo_ramon
@cdcgov
@eptresist
@jennifernbc4
@ksorbs
@kprather88

Top Tweeters in G10:
@citrus_kyoto
@noriesun
@fearless_taisho
@nempmx
@ikotto
@ygjumi
@hannahumming
@2chipi
@araran100
@pictureoffake


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