SARS-NCOV, Twitter, 9/18/2022 3:49:58 PM, 282035


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SARS-NCOV_2022-09-18_03-14-06.xlsx
SARS-NCOV_2022-09-18_03-14-06.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 18, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3xtO2oL
@ministeriosalud
@tryangregory
@mildanalyst
@sukunabikona7
@femmevoilet
@richmdsewerrat
@jalvareagus
@natho47
@ffmatrix
@natrlyst

Top hashtags:
#covid_19
#sarscov2
#covid19
#biosafety
#bsl
#covidー19
#coronavirus
#2019_ncov

Description:
Description
The graph represents a network of 752 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 Sunday, 18 September 2022 at 10:15 UTC.

The requested start date was Sunday, 18 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 12-day, 9-hour, 29-minute period from Sunday, 04 September 2022 at 01:33 UTC to Friday, 16 September 2022 at 11:02 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 : 752
Unique Edges : 329
Edges With Duplicates : 1678
Total Edges : 2007
Number of Edge Types : 5
Replies to : 74
Mentions : 199
Tweet : 92
Retweet : 807
MentionsInRetweet : 835
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.00152439024390244
Reciprocated Edge Ratio : 0.0030441400304414
Connected Components : 123
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 206
Maximum Edges in a Connected Component : 1280
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.137694
Graph Density : 0.00116334249369635
Modularity : 0.330413
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 752 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 Sunday, 18 September 2022 at 10:15 UTC.

The requested start date was Sunday, 18 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 12-day, 9-hour, 29-minute period from Sunday, 04 September 2022 at 01:33 UTC to Friday, 16 September 2022 at 11:02 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:
[77] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11469-sars-cov-2-20.html
[49] https://nextstrain.org/ncov/gisaid/global/all-time
[26] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[12] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[7] 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/2559-cfeir/11480-20-2022-8-31.html
[6] https://jessica5b3.substack.com/p/is-sars-ncov-2-associated-systemic
[4] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[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.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html

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

Top URLs in Tweet in G2:
[57] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11469-sars-cov-2-20.html

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

Top URLs in Tweet in G4:
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11469-sars-cov-2-20.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=
[2] https://jessica5b3.substack.com/p/is-sars-ncov-2-associated-systemic?utm_source=email
[2] https://jessica5b3.substack.com/p/a-paper-published-in-2017-provides?r=mva55&s=r&utm_campaign=post&utm_medium=email
[2] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[1] https://jessica5b3.substack.com/p/a-paper-published-in-2017-provides
[1] https://jessica5b3.substack.com/p/a-paper-published-in-2017-provides?s=r&utm_campaign=post&utm_medium=web&utm_source=direct
[1] https://gettr.com/post/p1pm5bbc1b6
[1] https://jessica5b3.substack.com/p/a-paper-published-in-2017-provides?r=omgxy&s=r&utm_campaign=post&utm_medium=email

Top URLs in Tweet in G5:
[47] https://nextstrain.org/ncov/gisaid/global/all-time
[1] https://twitter.com/TRyanGregory/status/1549809477515370497?t=U7Jd_iZVfgjka990jQZekA&s=19

Top URLs in Tweet in G6:
[1] https://nextstrain.org/ncov/gisaid/global/all-time
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11469-sars-cov-2-20.html
[1] https://twitter.com/mildanalyst/status/1567863370199474181
[1] https://www.medrxiv.org/content/10.1101/2022.09.04.22279587v1
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html
[1] https://osp.od.nih.gov/biotechnology/interim-lab-biosafety-guidance-for-research-with-sars-cov-2/
[1] https://consteril.com/biosafety-levels-difference/

Top URLs in Tweet in G7:
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
[2] https://www.nih.gov/news-events/news-releases/nih-hamster-study-evaluates-airborne-fomite-transmission-sars-cov-2
[2] https://www.nih.gov/news-events/nih-research-matters/study-suggests-new-coronavirus-may-remain-surfaces-days
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Policy_Brief-RCCE-2022.1
[1] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/COVID19_Actualizacion_variantes_20220829.pdf

Top URLs in Tweet in G8:
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2020/09/covid-19-hvac-systems-in-buildings.pdf?sc_lang=en
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/Research/2022/02/synopsis-andrejko-mmwr-effectiveness-face-mask.pdf?sc_lang=en&hash=3095BAB1B3A4923A26144815761C8F0C
[1] https://www.publichealthontario.ca/-/media/documents/ncov/covid-wwksf/2021/08/wwksf-wearing-masks-children.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/research/2020/10/research-nasem-airborne-transmission-sars-cov2-workshop-proceedings.pdf?la=en&sc_lang=en&hash=F196ED04C47F71921BE022E1F0295D9F

Top URLs in Tweet in G10:
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-fur-farming-risk-assessment-2021.1

Top Domains
Top Domains in Tweet in Entire Graph:
[92] go.jp
[50] nextstrain.org
[42] cdc.gov
[30] substack.com
[12] publichealthontario.ca
[12] minsal.cl
[11] nih.gov
[8] scholarsportal.info
[6] twitter.com
[4] who.int

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

Top Domains in Tweet in G2:
[57] go.jp

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

Top Domains in Tweet in G4:
[17] substack.com
[12] go.jp
[8] scholarsportal.info
[4] amazon.it
[3] cdc.gov
[3] gob.es
[2] bvsalud.org
[2] sciencedirect.com
[2] twitter.com
[1] gettr.com

Top Domains in Tweet in G5:
[47] nextstrain.org
[1] twitter.com

Top Domains in Tweet in G6:
[1] nextstrain.org
[1] go.jp
[1] twitter.com
[1] medrxiv.org
[1] cdc.gov
[1] nih.gov
[1] consteril.com

Top Domains in Tweet in G7:
[4] cdc.gov
[4] nih.gov
[1] who.int
[1] gob.es

Top Domains in Tweet in G8:
[4] publichealthontario.ca
[1] cdc.gov

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[646] covid_19
[10] sarscov2
[5] covid19
[4] biosafety
[4] bsl
[2] covidー19
[2] coronavirus
[2] 2019_ncov
[2] ncov2019
[2] ncov_2019



Top Hashtags in Tweet in G1:
[638] covid_19

Top Hashtags in Tweet in G4:
[4] covid19
[4] sarscov2
[1] datascience
[1] health
[1] machinelearning
[1] medrxiv

Top Hashtags in Tweet in G6:
[4] sarscov2
[4] biosafety
[4] bsl
[1] airborne
[1] precautions
[1] covid19
[1] respiratory
[1] aerosols

Top Words
Top Words in Tweet in Entire Graph:
[1292] casos
[647] informe
[646] diario
[646] #covid_19
[646] septiembre
[646] nuevos
[646] activos
[646] fallecidos
[630] ministeriosalud
[527] registrados

Top Words in Tweet in G1:
[1276] casos
[638] informe
[638] diario
[638] #covid_19
[638] septiembre
[638] nuevos
[638] activos
[638] fallecidos
[627] ministeriosalud
[519] registrados

Top Words in Tweet in G2:
[425] æ
[212] ç
[159] ãƒ
[107] ϋ
[106] ÿæÿ
[106] šã
[106] åš
[57] cov
[56] sukunabikona7
[53] ˆã

Top Words in Tweet in G4:
[47] æ
[43] sars
[43] ç
[34] ãƒ
[33] cov
[32] ncov
[22] covid
[18] 19
[17] spike
[15] amyloid

Top Words in Tweet in G5:
[48] data
[47] open
[47] resources
[47] nextstrain
[47] resource
[47] lets
[47] track
[46] tryangregory
[46] evolutio

Top Words in Tweet in G6:
[30] different
[24] mildanalyst
[15] update
[15] japan
[15] cases
[15] flights
[15] arrived
[15] dates
[15] epidemiological
[13] liâ

Top Words in Tweet in G7:
[9] sars
[9] cov
[7] oms
[7] 12
[7] 09
[7] 22
[7] sigue
[7] siendo
[7] fundamental
[7] quedarse

Top Words in Tweet in G8:
[6] public
[5] health
[4] indoor
[4] sars
[4] cov
[3] beth_something
[3] torontomet
[3] published
[3] feature
[3] covid19

Top Words in Tweet in G9:
[6] ãƒ
[6] ç
[4] æ
[3] ˆã
[2] hatoyamayukio
[2] ozawa_jimusho
[2] tassotakuya
[2] akisumitomo
[2] ichikazeroka
[2] shiikazuo

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[646] informe,diario
[646] diario,#covid_19
[646] casos,nuevos
[646] casos,activos
[630] ministeriosalud,informe
[527] fallecidos,registrados
[324] #covid_19,septiembre
[197] nuevos,19
[173] activos,fallecidos
[162] nuevos,20

Top Word Pairs in Tweet in G1:
[638] informe,diario
[638] diario,#covid_19
[638] casos,nuevos
[638] casos,activos
[627] ministeriosalud,informe
[519] fallecidos,registrados
[318] #covid_19,septiembre
[196] nuevos,19
[172] activos,fallecidos
[162] nuevos,20

Top Word Pairs in Tweet in G2:
[106] ç,æ
[106] æ,ÿæÿ
[106] šã,æ
[53] ÿæÿ,ç
[53] ç,ˆã
[53] ˆã,šã
[53] ÿæÿ,ãƒ
[53] ãƒ,æ
[53] æ,æ
[53] æ,åš

Top Word Pairs in Tweet in G4:
[27] sars,cov
[19] ç,æ
[16] sars,ncov
[16] covid,19
[13] æ,ÿæÿ
[10] ç,ç
[9] spike,protein
[8] ncov,spike
[8] ÿæÿ,ç
[8] ncov,associated

Top Word Pairs in Tweet in G5:
[47] open,data
[47] data,resources
[47] resources,nextstrain
[47] nextstrain,resource
[47] resource,lets
[47] lets,track
[46] tryangregory,open
[46] track,evolutio

Top Word Pairs in Tweet in G6:
[15] update,japan
[15] japan,cases
[15] cases,different
[15] different,flights
[15] flights,arrived
[15] arrived,different
[15] different,dates
[15] dates,epidemiological
[14] mildanalyst,update
[13] epidemiological,liâ

Top Word Pairs in Tweet in G7:
[9] sars,cov
[7] oms,12
[7] 12,09
[7] 09,22
[7] 22,sigue
[7] sigue,siendo
[7] siendo,fundamental
[7] fundamental,quedarse
[7] quedarse,casa
[7] casa,síntomas

Top Word Pairs in Tweet in G8:
[5] public,health
[4] sars,cov
[3] beth_something,torontomet
[3] torontomet,public
[3] health,published
[3] published,feature
[3] feature,covid19
[3] covid19,hvac
[3] hvac,systems
[3] systems,buildings

Top Word Pairs in Tweet in G9:
[2] hatoyamayukio,ozawa_jimusho
[2] ozawa_jimusho,tassotakuya
[2] tassotakuya,akisumitomo
[2] akisumitomo,ichikazeroka
[2] ichikazeroka,shiikazuo
[2] shiikazuo,cdp2017
[2] cdp2017,edanoyukio0531
[2] edanoyukio0531,dpfpnews
[2] æ,åž
[2] åž,ãƒ

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@sukunabikona7
@tryangregory
@mildanalyst
@who
@perbess
@0_teacherman
@natho47
@torontomet
@yatanew

Top Mentioned in G1:
@ministeriosalud

Top Mentioned in G2:
@sukunabikona7

Top Mentioned in G3:
@docdeezwhat
@rksais1
@2_drac
@lizzz_818
@theevil38571507
@trublurayne
@usa1stwins
@hamradiojoe
@kattmiss007
@mtgsadamsapple

Top Mentioned in G4:
@margodelia7

Top Mentioned in G5:
@tryangregory

Top Mentioned in G6:
@mildanalyst
@tanaishaj
@tryangregory
@nzm8qs

Top Mentioned in G7:
@who
@perbess
@cdcgov
@jljcolorado
@emily_burns_v
@hold2llc
@ifihadastick
@tracybethhoeg
@kerpen
@sdbaral

Top Mentioned in G8:
@torontomet
@bookwor48640897
@beth_something
@dfisman
@strauss_matt
@donaldwelsh16
@matt_strauss
@2leftfeetab
@maxfawcett
@thehectorer

Top Mentioned in G9:
@ozawa_jimusho
@tassotakuya
@akisumitomo
@ichikazeroka
@shiikazuo
@cdp2017
@edanoyukio0531
@dpfpnews
@ffmatrix
@hatoyamayukio

Top Mentioned in G10:
@emmecola
@daniel_corcos
@k_g_andersen
@michaelworobey
@angie_rasmussen
@stuartjdneil
@trvrb
@jepekar
@jbloom_lab
@babarlelephant

Top Tweeters
Top Tweeters in Entire Graph:
@ecodaren
@matiere
@roblwilson
@sosorasora3
@porridgeisgood
@togetter_jp
@nekokasiya
@gooochin
@otakutokkai
@taka910910

Top Tweeters in G1:
@trigorosa
@grupowurtlitzer
@dragontauro
@janecarvajal
@infozeus
@alegriagonzaa
@michel778899
@gonzaloxrojas
@laporres
@mgarcia318

Top Tweeters in G2:
@nekokasiya
@otakutokkai
@taka910910
@kasshini_gnade
@hounds02
@yura_greycube
@qbk_jitensya
@wai201303
@fbwm8888
@tesshou

Top Tweeters in G3:
@jds44894884
@carlbotha2
@yvonnecar20
@fwe1991
@apritions
@shellyrkirchoff
@usa1stwins
@femmevoilet
@itisjustmebabe
@tom_neverwinter

Top Tweeters in G4:
@matiere
@didaclopez
@snowscape
@republicandalek
@lesleygale2
@flutrackers
@simonystwyth
@hecatecrossroad
@bellatore1978
@novicksj

Top Tweeters in G5:
@roblwilson
@avonan
@pppatticake
@protectingterra
@freespeechlover
@daisybelll
@jchilton666
@patrickecooley
@ldrscke
@kensmith001

Top Tweeters in G6:
@youranonriots
@maeycat
@richmdsewerrat
@patrinac
@ukactionteamg
@brunoearlscourt
@heidiboesdal
@jul101vie
@mswoofs
@serendipity5460

Top Tweeters in G7:
@kerpen
@looneytunes03
@niusdiario
@fenixpilar
@who
@suejack41372586
@ana_berne
@perbess
@cristina_b
@lourdessauc

Top Tweeters in G8:
@picardonhealth
@theagenda
@maxfawcett
@d_a_keldsen
@dfisman
@jmcrookston
@spaikin
@1_non_blonde
@torontomet
@southmacedonian

Top Tweeters in G9:
@togetter_jp
@ffmatrix
@akisumitomo
@ichikazeroka
@ozawa_jimusho
@takeshi_tsuruno
@miraisyakai
@yamamototaro0
@cdp2017
@tassotakuya

Top Tweeters in G10:
@fds71644083
@babarlelephant
@emmecola
@angie_rasmussen
@stuartjdneil
@ayjchan
@_everythingism
@daniel_corcos
@ydeigin
@k_g_andersen