SARS-NCOV, Twitter, 7/28/2022 5:51:20 PM, 279618


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SARS-NCOV_2022-07-28_04-06-09.xlsx
SARS-NCOV_2022-07-28_04-06-09.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 28, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3bgzlxF
@ministeriosalud
@mr_magoo5
@scary7dr
@jameslynchgtc
@xrp_hodl_r
@deyyanno
@mlb0t
@natho47
@catgian1
@_tetraplegix

Top hashtags:
#covid_19
#covid19
#sarscov2
#longcovid
#新型コロナ
#反コロナ
#quack
#monkeypox
#米国疾病管理センター
#cdc

Description:
Description
The graph represents a network of 1,056 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 Thursday, 28 July 2022 at 11:07 UTC.

The requested start date was Thursday, 28 July 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 13-day, 11-hour, 44-minute period from Thursday, 14 July 2022 at 00:28 UTC to Wednesday, 27 July 2022 at 12:12 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 : 1056
Unique Edges : 650
Edges With Duplicates : 1428
Total Edges : 2078
Number of Edge Types : 5
Tweet : 89
Retweet : 684
MentionsInRetweet : 719
Replies to : 154
Mentions : 432
Self-Loops : 97
Reciprocated Vertex Pair Ratio : 0.00426894343649947
Reciprocated Edge Ratio : 0.00850159404888417
Connected Components : 173
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 256
Maximum Edges in a Connected Component : 1186
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.259642
Graph Density : 0.00084464311360046
Modularity : 0.447473
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,056 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 Thursday, 28 July 2022 at 11:07 UTC.

The requested start date was Thursday, 28 July 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 13-day, 11-hour, 44-minute period from Thursday, 14 July 2022 at 00:28 UTC to Wednesday, 27 July 2022 at 12:12 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:
[108] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[15] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?sc_lang=en
[14] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11276-covid19-ba-2-75.html
[11] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[9] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html
[5] https://nextstrain.org/ncov/gisaid/global?c=region&fbclid=IwAR3k7suOMZ9f_TGisNA5Vr9Y7U7ObKhiRCunIEmTkVrQqFJV3k_DTcCPB-Q
[5] https://www.ncbi.nlm.nih.gov/sars-cov-2/?fbclid=IwAR2nDW0ylI_wsl3cWzxkc0YDppQIbEqQjyI9rjpNF9txT4X54DILgduYm7U
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-03148-w%3Ffbclid%3DIwAR1AbyxvtsePIXJP59GKiu2nWvrnVHWLYhSigCh0TVLcqiCFIp1NJUxHgPI
[5] https://www.ncbi.nlm.nih.gov/nuccore/MN908947

Top URLs in Tweet in G1:
[9] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G3:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html#:~:text=Timeline%3A,amount%20of%20virus%20for%20study

Top URLs in Tweet in G4:
[7] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11276-covid19-ba-2-75.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11257-covid19-18.html
[4] 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=
[3] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf?sc_lang=en
[2] https://www.amazon.it/dp/B09RJ3YS1B/?tag=amzoffers02-21&psc=1
[2] https://www.amazon.it/dp/B09GFQQ1CM/?tag=amzoffers02-21&psc=1
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/10760-covid19-40.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11276-cov
[1] https://twitter.com/MarionKoopmans/status/1547347510791897093

Top URLs in Tweet in G5:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html

Top URLs in Tweet in G6:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/about-epidemiology/identifying-source-outbreak.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fabout-epidemiology%2Fidentifying-source-outbreak.html

Top URLs in Tweet in G7:
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G8:
[1] https://www.whitehouse.gov/wp-content/uploads/2022/04/03-2022-Transcript-Lets-Clear-the-Air-on-COVID-An-OSTP-Discussion-on-Clean-Indoor-Air.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html

Top URLs in Tweet in G9:
[5] https://nextstrain.org/ncov/gisaid/global?c=region&fbclid=IwAR3k7suOMZ9f_TGisNA5Vr9Y7U7ObKhiRCunIEmTkVrQqFJV3k_DTcCPB-Q
[5] https://www.ncbi.nlm.nih.gov/sars-cov-2/?fbclid=IwAR2nDW0ylI_wsl3cWzxkc0YDppQIbEqQjyI9rjpNF9txT4X54DILgduYm7U
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-03148-w%3Ffbclid%3DIwAR1AbyxvtsePIXJP59GKiu2nWvrnVHWLYhSigCh0TVLcqiCFIp1NJUxHgPI
[5] https://www.ncbi.nlm.nih.gov/nuccore/MN908947
[5] https://ngdc.cncb.ac.cn/ncov/release_genome#goto

Top URLs in Tweet in G10:
[1] https://web.archive.org/web/20201120151458/https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[1] https://de.m.wikipedia.org/wiki/SARS-CoV-2-Variante_Omikron

Top Domains
Top Domains in Tweet in Entire Graph:
[150] cdc.gov
[40] go.jp
[17] publichealthontario.ca
[14] nih.gov
[14] nextstrain.org
[11] minsal.cl
[8] twitter.com
[8] scholarsportal.info
[7] nature.com
[6] pnas.org

Top Domains in Tweet in G1:
[9] minsal.cl

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

Top Domains in Tweet in G4:
[19] go.jp
[8] scholarsportal.info
[5] cdc.gov
[4] twitter.com
[4] amazon.it
[3] publichealthontario.ca
[2] substack.com
[2] medical-incinerator.com
[2] ne.jp
[1] bvsalud.org

Top Domains in Tweet in G5:
[1] cdc.gov

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

Top Domains in Tweet in G7:
[26] cdc.gov

Top Domains in Tweet in G8:
[2] cdc.gov
[1] whitehouse.gov

Top Domains in Tweet in G9:
[10] nih.gov
[5] nextstrain.org
[5] nature.com
[5] ac.cn

Top Domains in Tweet in G10:
[1] archive.org
[1] who.int
[1] wikipedia.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[599] covid_19
[7] covid19
[5] sarscov2
[2] longcovid
[1] 新型コロナ
[1] 反コロナ
[1] quack
[1] monkeypox
[1] 米国疾病管理センター
[1] cdc



Top Hashtags in Tweet in G1:
[592] covid_19

Top Hashtags in Tweet in G4:
[6] covid19
[4] sarscov2
[1] bioweapon
[1] chemistry
[1] covid_19
[1] 19julio
[1] reinfection
[1] 米国疾病管理センター
[1] cdc
[1] 感染経路

Top Hashtags in Tweet in G8:
[1] monkeypox
[1] quack
[1] sarscov2

Top Words
Top Words in Tweet in Entire Graph:
[1198] casos
[599] informe
[599] diario
[599] #covid_19
[599] nuevos
[599] activos
[599] fallecidos
[599] registrados
[598] julio
[585] ministeriosalud

Top Words in Tweet in G1:
[1184] casos
[592] informe
[592] diario
[592] #covid_19
[592] julio
[592] nuevos
[592] activos
[592] fallecidos
[592] registrados
[583] ministeriosalud

Top Words in Tweet in G2:
[2] sahabiaali
[2] grard07854442
[2] itsflat7
[2] ninji427
[2] changnoy
[2] pia_mapia
[2] guigui83457472
[2] lapigreg
[2] a__1_0_2_
[2] texide1

Top Words in Tweet in G3:
[2] cdc
[2] specimen

Top Words in Tweet in G4:
[56] sars
[47] cov
[18] covid
[18] 19
[18] ncov
[14] 新型コロナウイルス
[11] research
[10] の変異株ba
[10] 75系統について
[10] 2022

Top Words in Tweet in G6:
[2] sars
[2] cov
[2] same
[2] thing

Top Words in Tweet in G7:
[26] マスクの有効性と安全性
[26] およびピットフォールについてはこちらに
[26] 小児のエビデンスもまとめられています
[25] georgebest1969

Top Words in Tweet in G8:
[11] cdcgov
[7] sars
[6] ncov
[6] yes
[5] cdcmmwr
[5] cdc
[5] ventilation
[5] buildings
[5] document
[5] points

Top Words in Tweet in G9:
[3] sars
[3] cov
[3] virusa
[2] što
[2] sekvencionisanje
[2] antivaxgonic1
[2] feniksmuva
[2] evo

Top Words in Tweet in G10:
[2] tim_roehn
[2] sars
[2] cov
[2] oktober
[2] die
[2] omicron

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[599] informe,diario
[599] diario,#covid_19
[599] casos,nuevos
[599] casos,activos
[599] fallecidos,registrados
[585] ministeriosalud,informe
[462] registrados,59
[149] nuevos,34
[139] sars,cov
[137] registrados,58

Top Word Pairs in Tweet in G1:
[592] informe,diario
[592] diario,#covid_19
[592] casos,nuevos
[592] casos,activos
[592] fallecidos,registrados
[583] ministeriosalud,informe
[455] registrados,59
[144] nuevos,34
[137] registrados,58
[122] nuevos,33

Top Word Pairs in Tweet in G2:
[2] sahabiaali,grard07854442
[2] grard07854442,itsflat7
[2] itsflat7,ninji427
[2] ninji427,changnoy
[2] changnoy,pia_mapia
[2] pia_mapia,guigui83457472
[2] guigui83457472,lapigreg
[2] lapigreg,a__1_0_2_
[2] a__1_0_2_,texide1
[2] n'a,jamais

Top Word Pairs in Tweet in G4:
[46] sars,cov
[14] 新型コロナウイルス,sars
[12] covid,19
[10] cov,の変異株ba
[10] の変異株ba,75系統について
[9] 2022,07
[8] scholars,portal
[7] 2019,ncov
[6] ncov,19
[6] drml350phd,interesting

Top Word Pairs in Tweet in G6:
[2] sars,cov
[2] same,thing

Top Word Pairs in Tweet in G7:
[26] マスクの有効性と安全性,およびピットフォールについてはこちらに
[26] およびピットフォールについてはこちらに,小児のエビデンスもまとめられています
[25] georgebest1969,マスクの有効性と安全性

Top Word Pairs in Tweet in G8:
[6] sars,ncov
[5] cdcgov,cdcmmwr
[5] cdcmmwr,cdcgov
[5] cdcgov,yes
[5] yes,cdc
[5] cdc,ventilation
[5] ventilation,buildings
[5] buildings,document
[5] document,points
[5] points,hepa

Top Word Pairs in Tweet in G9:
[3] sars,cov
[3] cov,virusa
[2] sekvencionisanje,sars

Top Word Pairs in Tweet in G10:
[2] sars,cov

Top Replied-To
Top Replied-To in Entire Graph:
@pmcdunnough
@brownstoneinst
@robward68909719
@yhonnypete
@pacamack
@crnchberryharry
@outkick
@merja_rantala
@ericmichael74
@my_fc1

Top Replied-To in G2:
@sahabiaali

Top Replied-To in G3:
@ericmichael74

Top Replied-To in G5:
@lifechoicen

Top Replied-To in G6:
@frankdelia7

Top Replied-To in G8:
@beard_vet
@elmoslayer007
@stevedishmonkey
@mattyglesias
@cdcgov

Top Replied-To in G9:
@dn9981
@ristic_al
@branka0505050
@lifeonm35354658
@tiroidna_bagra

Top Replied-To in G10:
@sunriserma
@sososentiment

Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@georgebest1969
@donnellystephen
@paulcullenit
@drbrendahardie
@mingylong
@drml350phd
@adam_creighton
@charletonoonagh
@npr

Top Mentioned in G1:
@ministeriosalud

Top Mentioned in G2:
@grard07854442
@itsflat7
@ninji427
@changnoy
@pia_mapia
@guigui83457472
@lapigreg
@a__1_0_2_
@texide1
@oliviersanstom

Top Mentioned in G3:
@breezergalway
@reacharoundu
@andrewlazarus4
@lifeafterwef
@jrmy_tu
@genderbreadmann
@caejak
@spoonhead8
@old_move
@carlsmythe

Top Mentioned in G4:
@drml350phd
@ygjumi

Top Mentioned in G5:
@jameslynchgtc
@landofevolution
@arduatendit
@blaylockmooky
@andrew7rd
@wolf_ofthe_west
@adevotedyogi
@unity_coach
@f3_haskell
@geezercitizenx

Top Mentioned in G6:
@fudyou2
@beckyj2779
@eraqbjorn
@whykeepitup
@stu_butcher99
@insidejobby
@bhchillin76
@ringshanks
@breezergalway
@krochetxkorner

Top Mentioned in G7:
@georgebest1969

Top Mentioned in G8:
@cdcgov
@cdcmmwr
@mattbc
@whitehouse
@joebiden
@ctvnews
@ikwilson
@alondranelson46

Top Mentioned in G9:
@antivaxgonic1
@feniksmuva
@istina_uteoriji
@gedza025
@zverka_1970
@vracarxiv
@djordjehap
@sabiknowsbest
@jovana1244
@borisacitizen

Top Mentioned in G10:
@tim_roehn
@marianne_falck
@denkmalstift
@ricardolange4
@ostprog
@ndrrecherche
@larswienand
@olafstampf
@infect_prevent
@claudia_ellert

Top Tweeters
Top Tweeters in Entire Graph:
@ginniasa
@cao58020
@fabiparraguezm
@7mencho
@gooochin
@business
@cristinamachuca
@slsandpet
@grupowurtlitzer
@tamejirou

Top Tweeters in G1:
@ginniasa
@fabiparraguezm
@cristinamachuca
@grupowurtlitzer
@dragontauro
@infozeus
@mononerd
@gonzaloxrojas
@mgarcia318
@negravillana

Top Tweeters in G2:
@arikouts
@fernandfilback
@mariedahaoui18
@itsflat7
@grard07854442
@sylarsyber
@titithebest4
@playthunderwolf
@mikilamalice
@rsinbah

Top Tweeters in G3:
@spoonhead8
@fillmorewhite
@mcfunny
@chimera414
@malo_j
@alex_on_a14
@carlsmythe
@andrewlazarus4
@skepticalmutant
@tonybaduy

Top Tweeters in G4:
@gooochin
@ygjumi
@didaclopez
@zu2
@twittanon
@rzryw
@tyaya9822
@gardenpapa
@hichachu
@fumuniki

Top Tweeters in G5:
@rospay15
@adevotedyogi
@unity_coach
@tracymmpohill
@cyberdyne
@6x10e23
@takethatchem
@umfpt
@quoimio
@aka_c00lest

Top Tweeters in G6:
@breezergalway
@frankdelia7
@iainmulady
@westhammatters
@swaledalemutton
@judysimpson222
@basil_ireton
@bluesteel543
@tierrahenson
@factode305

Top Tweeters in G7:
@f_camel
@oochan2017
@king1234stone
@ponchoronyanko
@t2saras
@takam0107
@edamametabete
@tomoki2474_h
@nv3bixqeku3itz8
@cbr01080

Top Tweeters in G8:
@moniquedhooghe
@ctvnews
@emyryly
@digiphile
@rootbrian_
@beard_vet
@azurewren
@mattbc
@dreamerj25
@cdcgov

Top Tweeters in G9:
@gedza025
@dn9981
@borisacitizen
@vracarxiv
@sabiknowsbest
@djordjehap
@branka0505050
@antivaxgonic1
@biti_zdrav
@zverka_1970

Top Tweeters in G10:
@larswienand
@ostprog
@sunriserma
@dm_ms
@tim_roehn
@marianne_falck
@infect_prevent
@olafstampf
@denkmalstift
@the_quokka42