SARS-NCOV, Twitter, 8/21/2022 4:27:22 PM, 280475


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SARS-NCOV_2022-08-21_03-14-06.xlsx
SARS-NCOV_2022-08-21_03-14-06.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 21, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3ClYBxr
@ministeriosalud
@alainsebil
@bb45_colorado
@shocktraumarn
@lazaruslong13
@shallit43
@biti_zdrav
@tobias_getofo
@sprkjoy4btrdays
@maribel10743123

Top hashtags:
#covid_19
#covid19
#sarscov2
#viralpersistence
#ncov
#covidー19

Description:
Description
The graph represents a network of 766 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, 21 August 2022 at 10:14 UTC.

The requested start date was Sunday, 21 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 12-day, 6-hour, 5-minute period from Sunday, 07 August 2022 at 03:24 UTC to Friday, 19 August 2022 at 09:29 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 : 766
Unique Edges : 633
Edges With Duplicates : 1041
Total Edges : 1674
Number of Edge Types : 5
Replies to : 70
Mentions : 293
Tweet : 69
Retweet : 461
MentionsInRetweet : 781
Self-Loops : 78
Reciprocated Vertex Pair Ratio : 0.00610376398779247
Reciprocated Edge Ratio : 0.0121334681496461
Connected Components : 112
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 150
Maximum Edges in a Connected Component : 468
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.912304
Graph Density : 0.00168774211164013
Modularity : 0.560307
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 766 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, 21 August 2022 at 10:14 UTC.

The requested start date was Sunday, 21 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 12-day, 6-hour, 5-minute period from Sunday, 07 August 2022 at 03:24 UTC to Friday, 19 August 2022 at 09:29 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:
[43] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[5] https://www.sanidad.gob.es/en/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_623_COVID-19.pdf
[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.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.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/masking-science-sars-cov2.html#anchor_1634654801820
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[3] https://www.publichealthontario.ca/-/media/documents/ncov/covid-wwksf/2021/08/wwksf-wearing-masks-children.pdf?sc_lang=en

Top URLs in Tweet in G1:
[4] 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:
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11276-covid19-ba-2-75.html

Top URLs in Tweet in G4:
[2] https://www.who.int/news/item/27-04-2020-who-timeline---covid-19
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html#:~:text=The%20first%20test%20for%20COVID,CoV%2D2%20in%20respiratory%20specimens

Top URLs in Tweet in G5:
[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.ncbi.nlm.nih.gov/pmc/articles/PMC7324311/
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11180-covid19-17.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11346-sars-cov-2-19.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html
[1] https://niid.go.jp/niid/ja/2019-ncov/2551-cepr/11180-covid19-17.html
[1] https://niid.go.jp/niid/ja/2019-ncov/2551-cepr/11346-sars-cov-2-19.html
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803643/
[1] https://www.nejm.org/doi/full/10.1056/nejmoa2001017?cookieSet=1
[1] https://jessicar.substack.com/p/molecular-mimicry-of-sars-ncov-2?fbclid=IwAR2UsIknkG6_3_UWUNrXK3bcd4SvnPAO2gr22p8j6knEdsJR17e0Y95pFYM

Top URLs in Tweet in G6:
[1] https://github.com/cmrivers/ncov/blob/master/COVID-19.pdf

Top URLs in Tweet in G7:
[41] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html

Top URLs in Tweet in G8:
[3] 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 G9:
[1] https://weekly.chinacdc.cn/en/article/doi/10.46234/ccdcw2020.023
[1] https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0008472
[1] https://theconversation.com/i-study-viruses-how-our-team-isolated-the-new-coronavirus-to-fight-the-global-pandemic-133675

Top Domains
Top Domains in Tweet in Entire Graph:
[95] cdc.gov
[16] go.jp
[11] nih.gov
[8] scholarsportal.info
[7] twitter.com
[7] publichealthontario.ca
[7] gob.es
[4] minsal.cl
[2] stanford.edu
[2] theconversation.com

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

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

Top Domains in Tweet in G3:
[2] go.jp

Top Domains in Tweet in G4:
[2] cdc.gov
[2] who.int

Top Domains in Tweet in G5:
[9] go.jp
[8] scholarsportal.info
[5] nih.gov
[2] substack.com
[2] amazon.it
[2] gob.es
[2] cdc.gov
[2] twitter.com
[1] nejm.org
[1] brandnewtube.com

Top Domains in Tweet in G6:
[1] github.com

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

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

Top Domains in Tweet in G9:
[1] chinacdc.cn
[1] plos.org
[1] theconversation.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[236] covid_19
[6] covid19
[6] sarscov2
[4] viralpersistence
[3] ncov
[2] covidー19
[2] coronavirus
[2] 2019_ncov
[2] ncov2019
[2] ncov_2019



Top Hashtags in Tweet in G1:
[236] covid_19

Top Hashtags in Tweet in G5:
[4] covid19
[4] sarscov2
[2] ncov19
[1] longcovid
[1] pwlc

Top Hashtags in Tweet in G8:
[2] covidiot

Top Words
Top Words in Tweet in Entire Graph:
[473] casos
[241] agosto
[237] nuevos
[236] informe
[236] diario
[236] #covid_19
[236] activos
[236] fallecidos
[236] registrados
[232] ministeriosalud

Top Words in Tweet in G1:
[472] casos
[236] informe
[236] diario
[236] #covid_19
[236] agosto
[236] nuevos
[236] activos
[236] fallecidos
[236] registrados
[232] 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:
[60] sars
[60] cov
[59] 新型コロナウイルス
[59] の変異株ba
[59] 75系統について
[59] 国立感染症研究所
[59] 2022年7月8日時点
[59] インドより6
[59] 2報告
[59] 日本ではインド渡航歴者から検疫で6

Top Words in Tweet in G4:
[4] 2020
[4] gt
[3] pcr
[3] developed
[3] wrong
[2] breezergalway
[2] ericmichael74
[2] mr_magoo5
[2] mstrixter
[2] ghoppe

Top Words in Tweet in G5:
[38] sars
[31] ncov
[25] cov
[19] 19
[16] covid
[14] 2019
[12] ba
[10] 2022
[10] research
[9] against

Top Words in Tweet in G6:
[24] age
[23] mmeblackballoon
[23] raefneerg
[23] andyaschmidt
[23] boynamedshannon
[23] nj_mama_bear
[23] actually
[23] stratification
[23] sars
[23] cov

Top Words in Tweet in G7:
[40] covid
[38] lazaruslong13
[24] cdc
[24] respiratory
[21] use
[21] fluids
[21] droplets
[21] reference
[19] inhalation
[19] aerosols

Top Words in Tweet in G8:
[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 G9:
[2] strain
[2] ncov
[2] china
[2] sars
[2] cov

Top Words in Tweet in G10:
[2] inserciones

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[237] casos,nuevos
[236] informe,diario
[236] diario,#covid_19
[236] casos,activos
[236] fallecidos,registrados
[232] ministeriosalud,informe
[188] sars,cov
[168] registrados,59
[153] nuevos,49
[86] #covid_19,13

Top Word Pairs in Tweet in G1:
[236] informe,diario
[236] diario,#covid_19
[236] casos,nuevos
[236] casos,activos
[236] fallecidos,registrados
[232] ministeriosalud,informe
[168] registrados,59
[153] nuevos,49
[86] #covid_19,13
[86] 13,agosto

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:
[60] sars,cov
[59] 新型コロナウイルス,sars
[59] cov,の変異株ba
[59] の変異株ba,75系統について
[59] 75系統について,国立感染症研究所
[59] 国立感染症研究所,2022年7月8日時点
[59] 2022年7月8日時点,インドより6
[59] インドより6,2報告
[59] 2報告,日本ではインド渡航歴者から検疫で6
[59] 日本ではインド渡航歴者から検疫で6,13検出

Top Word Pairs in Tweet in G4:
[4] 2020,gt
[2] swaledalemutton,chimera414
[2] chimera414,tonybaduy
[2] tonybaduy,carlsmythe
[2] mcfunny,krebiozen
[2] krebiozen,mpc_xetts
[2] mpc_xetts,rkontroiisto
[2] rkontroiisto,willard1951
[2] willard1951,iainmulady
[2] iainmulady,jonathanhannah

Top Word Pairs in Tweet in G5:
[25] sars,cov
[12] covid,19
[11] 2019,ncov
[8] scholars,portal
[7] chadox1,ncov
[7] ncov,19
[6] 2022,08
[6] drml350phd,interesting
[5] ba,ba
[5] 19,vaccine

Top Word Pairs in Tweet in G6:
[23] mmeblackballoon,raefneerg
[23] raefneerg,andyaschmidt
[23] andyaschmidt,boynamedshannon
[23] boynamedshannon,nj_mama_bear
[23] nj_mama_bear,actually
[23] actually,age
[23] age,stratification
[23] stratification,sars
[23] sars,cov
[22] ballouxfrancois,mmeblackballoon

Top Word Pairs in Tweet in G7:
[21] cdc,use
[21] use,respiratory
[21] respiratory,fluids
[21] fluids,droplets
[21] droplets,reference
[21] reference,covid
[20] lazaruslong13,cdc
[19] inhalation,aerosols
[19] aerosols,used
[19] used,covid

Top Word Pairs in Tweet in G8:
[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 G9:
[2] sars,cov

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@bb45_colorado
@lazaruslong13
@raefneerg
@andyaschmidt
@boynamedshannon
@nj_mama_bear
@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:
@bb45_colorado

Top Mentioned in G4:
@breezergalway
@mr_magoo5
@mstrixter
@ghoppe
@skepticalmutant
@swaledalemutton
@chimera414
@tonybaduy
@carlsmythe
@mcfunny

Top Mentioned in G5:
@drml350phd
@cya_tya9qx5
@brockreiss

Top Mentioned in G6:
@raefneerg
@andyaschmidt
@boynamedshannon
@nj_mama_bear
@ballouxfrancois
@mmeblackballoon

Top Mentioned in G7:
@lazaruslong13
@rougematisse

Top Mentioned in G8:
@shallit43
@atonalmuse

Top Mentioned in G9:
@branka0505050
@vranes_jelena
@rorschachnew
@zrajovich2
@nemanjamilosev6
@miliduh
@trpachdronfulja
@arsenijevladim1
@egox_ego
@smejemse

Top Mentioned in G10:
@guillesequera
@vigisaludpy
@universohombres
@hoypy
@corresponsalvih
@ultimahoracom
@telefuturoinfo
@cinthia_mora
@aisman6
@somosgen

Top Tweeters
Top Tweeters in Entire Graph:
@ecodaren
@republikaonline
@sosorasora3
@citrus_kyoto
@lizditz
@marthalynneowe1
@katcapps
@joannecangal
@bb45_colorado
@yunishio

Top Tweeters in G1:
@dragontauro
@gonzaloxrojas
@mgarcia318
@chidalgo
@pablolabarcac
@andreasakurada
@cfa_30
@kennomeli86
@radionuble
@elmejoredux

Top Tweeters in G2:
@yvespdb
@talullabellefle
@botantipass
@crypto_execute
@eric13287047
@russeurope
@idrissaberkane
@jlambeaux
@mazagan_ft
@_2019_ncov

Top Tweeters in G3:
@ecodaren
@sosorasora3
@citrus_kyoto
@bb45_colorado
@yunishio
@zpitschi
@lamohkun
@matubonbeagle
@qbk_jitensya
@questions_67_68

Top Tweeters in G4:
@fillmorewhite
@mcfunny
@breezergalway
@chimera414
@alex_on_a14
@iainmulady
@carlsmythe
@andrewlazarus4
@skepticalmutant
@tonybaduy

Top Tweeters in G5:
@republikaonline
@didaclopez
@dai7707
@parasite2006
@__gfx__
@damkyan_omega
@sweetorchid
@fender62lakepl1
@cya_tya9qx5
@drml350phd

Top Tweeters in G6:
@mszafranski413
@colourmeamused_
@blefave
@patriotic_giant
@gadsden_guy
@meatjb1
@vdoodoooooo
@ballouxfrancois
@gstarwind
@andyaschmidt

Top Tweeters in G7:
@marthalynneowe1
@katcapps
@bfitzinar
@joejaggi
@cassandranocov
@birdsofpaper
@happyhexer
@sprkjoy4btrdays
@coniinthegarden
@atla_fan

Top Tweeters in G8:
@lizditz
@joannecangal
@ghostcatbce
@mustangmadd
@frankdelia7
@maikoki
@joltdude
@nb_covid_info
@0cynicalbastard
@shallit43

Top Tweeters in G9:
@egox_ego
@nemanjamilosev6
@arsenijevladim1
@miliduh
@wolfs_daddy
@antivaxgonic1
@branka0505050
@zrajovich2
@biti_zdrav
@nestruchni

Top Tweeters in G10:
@abcdigital
@ultimahoracom
@hoypy
@aisman6
@telefuturoinfo
@somosgen
@cinthia_mora
@vigisaludpy
@corresponsalvih
@guillesequera


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