SARS-NCOV, Twitter, 8/24/2022 5:49:54 PM, 280635


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SARS-NCOV_2022-08-24_02-18-41.xlsx
SARS-NCOV_2022-08-24_02-18-41.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 24, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3QPzSGq
@ministeriosalud
@alainsebil
@_2019_ncov
@immortellexiii
@shallit43
@demauyo_tadaimo
@maribel10743123
@ballouxfrancois
@nj_mama_bear
@andyaschmidt

Top hashtags:
#covid_19
#covid19
#sarscov2
#viralpersistence
#ncov

Description:
Description
The graph represents a network of 812 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 Wednesday, 24 August 2022 at 09:19 UTC.

The requested start date was Wednesday, 24 August 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, 5-hour, 8-minute period from Wednesday, 10 August 2022 at 05:33 UTC to Tuesday, 23 August 2022 at 10:41 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 : 812
Unique Edges : 634
Edges With Duplicates : 1542
Total Edges : 2176
Number of Edge Types : 5
Retweet : 748
MentionsInRetweet : 1063
Replies to : 86
Mentions : 206
Tweet : 73
Self-Loops : 86
Reciprocated Vertex Pair Ratio : 0.00589970501474926
Reciprocated Edge Ratio : 0.0117302052785924
Connected Components : 122
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 290
Maximum Edges in a Connected Component : 1198
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.969201
Graph Density : 0.00155345526109589
Modularity : 0.442364
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 812 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 Wednesday, 24 August 2022 at 09:19 UTC.

The requested start date was Wednesday, 24 August 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, 5-hour, 8-minute period from Wednesday, 10 August 2022 at 05:33 UTC to Tuesday, 23 August 2022 at 10:41 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:
[42] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[8] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[5] https://www.sanidad.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_623_COVID-19.pdf
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1634654801820
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.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=
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11346-sars-cov-2-19.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html

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

Top URLs in Tweet in G2:
[1] http://www.francesoir.fr/la-vaccination-contre-le-sars-cov-2-favorise-t-elle-le-developpement-du-cancer
[1] https://twitter.com/ChrisCottonStat/status/1542150320444284928

Top URLs in Tweet in G3:
[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.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11346-sars-cov-2-19.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11180-covid19-17.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[1] https://brandnewtube.com/watch/the-scamdemic-covid-19-sars-cov2-the-virus-that-never-existed_n14QLCfeu2iMRwE.html
[1] https://www.amazon.it/dp/B09WRT2MZ8?tag=dealandia08-21&linkCode=ogi&th=1&psc=1?tag=dealandia08-21
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[1] https://www.eurekalert.org/pub_releases/2020-02/scp-eow020720.php?source=https://twitter.com/thedextazlab
[1] http://www.angrese.it/
[1] https://www.amazon.it/dp/B09WRT2MZ8/?tag=angrese00-21&smid=a1ivdxzqlari1l&psc=1

Top URLs in Tweet in G4:
[1] https://github.com/cmrivers/ncov/blob/master/COVID-19.pdf

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[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/lab/rt-pcr-panel-primer-probes.html

Top URLs in Tweet in G7:
[1] https://www.nejm.org/doi/full/10.1056/nejmoa2001017?cookieSet=1
[1] https://pubmed.ncbi.nlm.nih.gov/34276917/

Top URLs in Tweet in G8:
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html#refphf
[1] https://www.mountsinai.org/health-library/diseases-conditions/2019-novel-coronavirus-2019-ncov
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html

Top URLs in Tweet in G9:
[1] https://twitter.com/KeithEv84928885/status/1530142984678821888?t=dNS3X31S1CJO7YOhx1wi3g&s=19

Top Domains
Top Domains in Tweet in Entire Graph:
[66] cdc.gov
[18] go.jp
[8] scholarsportal.info
[8] minsal.cl
[7] gob.es
[7] nih.gov
[7] twitter.com
[5] publichealthontario.ca
[3] bvsalud.org
[3] pnas.org

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

Top Domains in Tweet in G2:
[1] francesoir.fr
[1] twitter.com

Top Domains in Tweet in G3:
[9] go.jp
[8] scholarsportal.info
[3] njctw.com
[2] amazon.it
[2] cdc.gov
[2] twitter.com
[2] hiclover.com
[2] gob.es
[1] brandnewtube.com
[1] eurekalert.org

Top Domains in Tweet in G4:
[1] github.com

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

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

Top Domains in Tweet in G7:
[1] nejm.org
[1] nih.gov

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

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[603] covid_19
[6] covid19
[6] sarscov2
[4] viralpersistence
[3] ncov
[2] longcovid
[2] covidー19
[2] coronavirus
[2] 2019_ncov
[2] ncov2019



Top Hashtags in Tweet in G1:
[603] covid_19

Top Hashtags in Tweet in G3:
[4] covid19
[4] sarscov2
[2] ncov19
[2] longcovid
[1] pwlc
[1] covidpersistente
[1] オミクロン
[1] コロナ

Top Hashtags in Tweet in G5:
[2] covidiot

Top Words
Top Words in Tweet in Entire Graph:
[1207] casos
[608] agosto
[604] nuevos
[603] informe
[603] diario
[603] #covid_19
[603] activos
[603] fallecidos
[603] registrados
[595] ministeriosalud

Top Words in Tweet in G1:
[1206] casos
[603] informe
[603] diario
[603] #covid_19
[603] agosto
[603] nuevos
[603] activos
[603] fallecidos
[603] registrados
[595] ministeriosalud

Top Words in Tweet in G2:
[23] rrrrgerard
[23] mazagan_ft
[23] athan0r153
[23] sitting_bull_d
[23] francoisboulo
[23] brunobertez
[23] anicelajnef
[23] didiermaisto
[23] etienne_chouard
[22] alainsebil

Top Words in Tweet in G3:
[48] sars
[36] cov
[34] ncov
[24] 19
[18] covid
[17] 2019
[12] research
[11] ba
[11] 2022
[10] vaccine

Top Words in Tweet in G4:
[25] age
[24] mmeblackballoon
[24] raefneerg
[24] andyaschmidt
[24] boynamedshannon
[24] nj_mama_bear
[24] actually
[24] stratification
[24] sars
[24] cov

Top Words in Tweet in G5:
[23] shallit43
[16] masks
[16] work
[15] 11
[15] claim
[15] help
[15] stop
[15] spread
[15] covid
[15] haven't

Top Words in Tweet in G6:
[16] お兄ちゃん
[16] 新型コロナ診断のpcr法は特定の塩基配列のdnaを増やすの
[16] 米cdcの新型コロナの塩基配列を他のウイルスや生物と比べてみたら
[16] 風邪のコロナやsarsも含めて似ている配列はなかったの
[16] 新型コロナ以外を検出することはないよ
[15] demauyo_tadaimo

Top Words in Tweet in G7:
[12] ncov
[11] caso
[11] raro
[11] trombosis
[11] trombocitopenia
[11] vena
[11] oftálmica
[11] superior
[11] vacunación
[11] chadox1

Top Words in Tweet in G8:
[3] sars
[3] cov
[3] cdcgov
[3] transmission
[2] m_grill
[2] hepa
[2] filters
[2] less
[2] 99
[2] 97

Top Words in Tweet in G9:
[10] ratg13
[10] ncov
[9] gag
[9] proteins
[9] hiv
[9] end
[9] bat
[9] cave
[9] yunnan
[9] 2013

Top Words in Tweet in G10:
[5] 2019
[4] sars
[3] hetismijmike
[3] luketheduke1960
[3] saskiaveluwe
[3] molbiochemist
[3] meestereddy
[3] dalila75202346
[3] pcr
[3] detect

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[604] casos,nuevos
[603] informe,diario
[603] diario,#covid_19
[603] casos,activos
[603] fallecidos,registrados
[595] ministeriosalud,informe
[238] agosto,11
[168] registrados,59
[154] nuevos,49
[152] activos,34

Top Word Pairs in Tweet in G1:
[603] informe,diario
[603] diario,#covid_19
[603] casos,nuevos
[603] casos,activos
[603] fallecidos,registrados
[595] ministeriosalud,informe
[238] agosto,11
[168] registrados,59
[154] nuevos,49
[152] activos,34

Top Word Pairs in Tweet in G2:
[23] rrrrgerard,mazagan_ft
[23] mazagan_ft,athan0r153
[23] athan0r153,sitting_bull_d
[23] sitting_bull_d,francoisboulo
[23] francoisboulo,brunobertez
[23] brunobertez,anicelajnef
[23] anicelajnef,didiermaisto
[23] didiermaisto,etienne_chouard
[22] alainsebil,rrrrgerard

Top Word Pairs in Tweet in G3:
[34] sars,cov
[14] covid,19
[14] 2019,ncov
[10] chadox1,ncov
[10] ncov,19
[8] drml350phd,interesting
[8] 2022,08
[8] scholars,portal
[6] 19,vaccine
[6] delta,variant

Top Word Pairs in Tweet in G4:
[24] mmeblackballoon,raefneerg
[24] raefneerg,andyaschmidt
[24] andyaschmidt,boynamedshannon
[24] boynamedshannon,nj_mama_bear
[24] nj_mama_bear,actually
[24] actually,age
[24] age,stratification
[24] stratification,sars
[24] sars,cov
[23] ballouxfrancois,mmeblackballoon

Top Word Pairs in Tweet in G5:
[16] masks,work
[15] 11,claim
[15] claim,masks
[15] work,help
[15] help,stop
[15] stop,spread
[15] spread,covid
[15] covid,haven't
[15] haven't,read
[15] read,dozen

Top Word Pairs in Tweet in G6:
[16] お兄ちゃん,新型コロナ診断のpcr法は特定の塩基配列のdnaを増やすの
[16] 新型コロナ診断のpcr法は特定の塩基配列のdnaを増やすの,米cdcの新型コロナの塩基配列を他のウイルスや生物と比べてみたら
[16] 米cdcの新型コロナの塩基配列を他のウイルスや生物と比べてみたら,風邪のコロナやsarsも含めて似ている配列はなかったの
[16] 風邪のコロナやsarsも含めて似ている配列はなかったの,新型コロナ以外を検出することはないよ
[15] demauyo_tadaimo,お兄ちゃん

Top Word Pairs in Tweet in G7:
[11] caso,raro
[11] raro,trombosis
[11] trombosis,trombocitopenia
[11] trombocitopenia,vena
[11] vena,oftálmica
[11] oftálmica,superior
[11] superior,vacunación
[11] vacunación,chadox1
[11] chadox1,ncov
[11] ncov,19

Top Word Pairs in Tweet in G8:
[3] sars,cov
[2] m_grill,hepa
[2] hepa,filters
[2] filters,less
[2] less,99
[2] 99,97
[2] 97,efficient
[2] efficient,capturing
[2] capturing,human
[2] human,generated

Top Word Pairs in Tweet in G9:
[9] gag,proteins
[9] proteins,hiv
[9] hiv,end
[9] end,bat
[9] bat,cave
[9] cave,yunnan
[9] yunnan,2013
[9] 2013,became
[9] became,ratg13
[9] ratg13,2020

Top Word Pairs in Tweet in G10:
[3] saskiaveluwe,molbiochemist
[3] molbiochemist,meestereddy
[3] meestereddy,dalila75202346
[3] sars,cov
[2] hetismijmike,food4ears
[2] food4ears,luketheduke1960
[2] luketheduke1960,saskiaveluwe
[2] cdc,2019
[2] 2019,novel
[2] novel,coronavirus

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@raefneerg
@andyaschmidt
@boynamedshannon
@nj_mama_bear
@ballouxfrancois
@mmeblackballoon
@mazagan_ft
@athan0r153
@sitting_bull_d

Top Mentioned in G1:
@ministeriosalud

Top Mentioned in G2:
@mazagan_ft
@athan0r153
@sitting_bull_d
@francoisboulo
@brunobertez
@anicelajnef
@didiermaisto
@etienne_chouard
@alainsebil
@rrrrgerard

Top Mentioned in G3:
@drml350phd
@computertroubl7
@brockreiss

Top Mentioned in G4:
@raefneerg
@andyaschmidt
@boynamedshannon
@nj_mama_bear
@ballouxfrancois
@mmeblackballoon

Top Mentioned in G5:
@shallit43

Top Mentioned in G6:
@demauyo_tadaimo

Top Mentioned in G7:
@maribel10743123

Top Mentioned in G8:
@cdcgov
@markensysteme
@m_grill
@lwcellos
@repthomasmassie
@jljcolorado

Top Mentioned in G9:
@keithev84928885

Top Mentioned in G10:
@luketheduke1960
@saskiaveluwe
@molbiochemist
@meestereddy
@dalila75202346
@food4ears
@dirkvanlinth
@nopaseran71

Top Tweeters
Top Tweeters in Entire Graph:
@republikaonline
@rodolfoxoliz
@lizditz
@joannecangal
@reuters
@packraty
@bb45_colorado
@cristinamachuca
@siquieresmelees
@dragontauro

Top Tweeters in G1:
@rodolfoxoliz
@cristinamachuca
@siquieresmelees
@dragontauro
@infozeus
@branemark1
@dmvecinal
@naid_28
@gonzaloxrojas
@sosninosename1

Top Tweeters in G2:
@yvespdb
@talullabellefle
@botantipass
@crypto_execute
@eric13287047
@russeurope
@idrissaberkane
@jlambeaux
@mazagan_ft
@brunobertez

Top Tweeters in G3:
@republikaonline
@didaclopez
@dai7707
@__gfx__
@damkyan_omega
@sweetorchid
@fender62lakepl1
@jediknigt
@cya_tya9qx5
@drml350phd

Top Tweeters in G4:
@mszafranski413
@colourmeamused_
@blefave
@patriotic_giant
@gadsden_guy
@meatjb1
@vdoodoooooo
@ballouxfrancois
@gstarwind
@andyaschmidt

Top Tweeters in G5:
@lizditz
@joannecangal
@ghostcatbce
@mustangmadd
@frankdelia7
@maikoki
@joltdude
@nb_covid_info
@0cynicalbastard
@shallit43

Top Tweeters in G6:
@packraty
@choki0623
@shunichiro0083
@mega_neo_less
@nadaynada3
@u5ki6
@hiyokokiller
@mimi_panda_nana
@crimson_preu
@naoneko_t

Top Tweeters in G7:
@luna_mystikagg
@cuber_9
@revoabril1904
@rafaelg76135122
@miguela71643080
@yelitzacriollo
@libre_porquesi
@perdidoenelmon1
@buenrolloreturn
@qwertyeusk

Top Tweeters in G8:
@martingaedt
@cdcgov
@godiveunder
@jljcolorado
@maryjanebryksa
@markensysteme
@425noelle
@repthomasmassie
@m_grill
@lwcellos

Top Tweeters in G9:
@goodsvejk
@yasmin80329837
@alletwiederjut
@snydervegas
@bibi58558618
@charlesrixey
@keithev84928885
@darrellmello
@db11770382
@totallycanc3l3d

Top Tweeters in G10:
@food4ears
@saskiaveluwe
@luketheduke1960
@nopaseran71
@dirkvanlinth
@meestereddy
@hetismijmike
@markes1900
@dalila75202346
@molbiochemist


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