SARS-NCOV, Twitter, 10/28/2021 4:08:42 PM, 264982


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SARS-NCOV_2021-10-28_04-17-01.xlsx
SARS-NCOV_2021-10-28_04-17-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 28, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/2ZHTwP4
@jorgeadedo
@motoisuzuki
@aoihana1213
@dfisman
@mafutugumi
@nejm
@influenzer3
@guillelmumlew
@cappsie
@jsaholmes

Top hashtags:
#covid19
#covid
#coronavirus
#コロナ
#novel
#ncov
#新型コロナ
#sars
#福岡県
#2019ncov

Description:
Description
The graph represents a network of 2,377 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 October 2021 at 11:19 UTC.

The requested start date was Thursday, 28 October 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, 54-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 11:55 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 : 2377
Unique Edges : 1075
Edges With Duplicates : 2676
Total Edges : 3751
Number of Edge Types : 5
Tweet : 194
Retweet : 1189
MentionsInRetweet : 1252
Replies to : 281
Mentions : 835
Self-Loops : 230
Reciprocated Vertex Pair Ratio : 0.0032258064516129
Reciprocated Edge Ratio : 0.00643086816720257
Connected Components : 306
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 558
Maximum Edges in a Connected Component : 1111
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.567419
Graph Density : 0.00038546310107101
Modularity : 0.56633
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,377 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 October 2021 at 11:19 UTC.

The requested start date was Thursday, 28 October 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, 54-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 11:55 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:
[127] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10707-covid19-61.html
[108] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[24] 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=
[9] 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
[8] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10623-covid19-57.html
[7] https://www.who.int/es/publications/i/item/WHO-2019-nCoV-genomic_sequencing-2021.1
[7] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[6] https://www.pnas.org/content/118/4/e2014564118

Top URLs in Tweet in G1:
[1] https://www.who.int/es/publications/i/item/WHO-2019-nCoV-genomic_sequencing-2021.1

Top URLs in Tweet in G2:
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/keythingstoknow.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
[1] https://twitter.com/DurhamHealth/status/1451931925749407753
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html#useppe
[1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html#refphf

Top URLs in Tweet in G3:
[1] https://www.niaid.nih.gov/news-events/novel-coronavirus-sarscov2-images

Top URLs in Tweet in G4:
[92] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10707-covid19-61.html
[6] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10623-covid19-57.html

Top URLs in Tweet in G5:
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10707-covid19-61.html

Top URLs in Tweet in G6:
[24] 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=
[20] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10707-covid19-61.html
[3] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm
[2] https://www.medrxiv.org/content/10.1101/2021.10.12.21264840v1?rss=1
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antigen-tests-guidelines.html
[2] https://www.mhlw.go.jp/stf/r312cohotokurei_00001.html
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/COVID19_Actualizacion_variantes_20211025.pdf
[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=2021-10-25&search_in=LD
[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=2021-10-14&search_in=LD
[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=2021-10-15&search_in=LD

Top URLs in Tweet in G7:
[1] https://www.nejm.org/doi/full/10.1056/NEJMc2113864
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10707-covid19-61.html

Top URLs in Tweet in G8:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html

Top URLs in Tweet in G9:
[2] https://www.publichealthontario.ca/-/media/documents/ncov/phm/2021/06/covid-19-transmission-vaccinated-cases.pdf?sc_lang=en
[1] https://www.ahajournals.org/doi/abs/10.1161/CIRCRESAHA.121.318902?cookieSet=1
[1] https://scitechdaily.com/sars-cov-2-spike-protein-alone-may-cause-covid-19-lung-damage-even-without-the-presence-of-intact-virus/
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top Domains
Top Domains in Tweet in Entire Graph:
[228] cdc.gov
[158] go.jp
[48] scholarsportal.info
[19] nih.gov
[14] who.int
[13] twitter.com
[10] nature.com
[8] pnas.org
[6] gob.es
[6] nextstrain.org

Top Domains in Tweet in G1:
[1] who.int

Top Domains in Tweet in G2:
[9] cdc.gov
[1] twitter.com

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

Top Domains in Tweet in G4:
[98] go.jp

Top Domains in Tweet in G5:
[4] go.jp

Top Domains in Tweet in G6:
[48] scholarsportal.info
[23] go.jp
[10] cdc.gov
[8] nih.gov
[6] gob.es
[5] who.int
[4] nature.com
[4] twitter.com
[3] medrxiv.org
[2] wiley.com

Top Domains in Tweet in G7:
[1] nejm.org
[1] go.jp

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

Top Domains in Tweet in G9:
[2] publichealthontario.ca
[1] ahajournals.org
[1] scitechdaily.com
[1] cdc.gov

Top Domains in Tweet in G10:
[1] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[74] covid19
[42] covid
[42] coronavirus
[40] コロナ
[40] novel
[38] ncov
[33] 新型コロナ
[29] sars
[29] 福岡県
[28] 2019ncov



Top Hashtags in Tweet in G2:
[1] covidvaccines

Top Hashtags in Tweet in G3:
[1] covid

Top Hashtags in Tweet in G6:
[25] covid19
[25] sarscov2
[2] rtalb
[2] preocupación
[2] voc
[2] interés
[1] cucs
[1] impfstoffe
[1] sars_cov_2
[1] corona

Top Hashtags in Tweet in G7:
[1] idtwitter

Top Words
Top Words in Tweet in Entire Graph:
[1117] cov
[1034] sars
[564] oms
[563] aislado
[563] secuencias
[562] reconoce
[562] nunca
[562] purificado
[562] partir
[562] cuerpo

Top Words in Tweet in G1:
[542] oms
[542] reconoce
[542] sars
[542] cov
[542] nunca
[542] aislado
[542] purificado
[542] partir
[542] cuerpo
[542] humano

Top Words in Tweet in G2:
[131] virus
[130] risk
[129] 10
[129] 000
[129] transmission
[129] surfaces
[129] conditional
[129] surface
[129] actually
[129] having

Top Words in Tweet in G3:
[2] alex_on_a14
[2] mcfunny
[2] image
[2] isolated
[2] sars
[2] cov
[2] 2019
[2] ncov
[2] nepal

Top Words in Tweet in G4:
[117] cov
[73] アルファ株とデルタ株の組換え体とみられるsars
[69] 2ウイルスの検出について
[46] 今回見つかったのは部位的には感染性
[46] 免疫逃避に影響を与える箇所ではないとしています
[45] influenzer3
[26] 2021
[24] sars
[20] aoihana1213
[20] 感染研hp

Top Words in Tweet in G5:
[85] アルファ株とデルタ株の組換え体とみられるsars
[85] cov
[85] 2ウイルスの検出について
[85] 国立感染症研究所
[82] 2021年10月18日
[82] 現時点では
[82] 本組換え体による追加的な公衆衛生リスクは無いと考えられるが
[82] 今後の動向に注意する
[81] motoisuzuki
[3] デルタ株の部分は国内で流行するデルタ株由来と考えられ

Top Words in Tweet in G6:
[101] cov
[92] 19
[88] sars
[84] covid
[62] ncov
[48] articles
[48] scholars
[48] portal
[47] 2021
[42] research

Top Words in Tweet in G7:
[64] analysis
[64] scotland's
[64] mortality
[64] 114
[64] 000
[64] sars
[64] cov2
[64] infected
[64] people
[64] revealed

Top Words in Tweet in G8:
[110] bir
[66] sars
[66] cov
[55] ve
[54] oluşturmalarına
[54] izin
[54] veriyordu
[54] biraz
[54] uzun
[54] okuma

Top Words in Tweet in G9:
[2] justintrudeau
[2] lower
[2] viral
[2] loads
[2] reduced
[2] duration
[2] infectiousness
[2] observed
[2] vaccinated
[2] individuals

Top Words in Tweet in G10:
[2] fillmorewhite
[2] virus
[2] science
[2] makes
[2] think
[2] samples
[2] sars
[2] keithamccluskey
[2] evidence
[2] cloth

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[900] sars,cov
[562] oms,reconoce
[562] reconoce,sars
[562] cov,nunca
[562] nunca,aislado
[562] aislado,purificado
[562] purificado,partir
[562] partir,cuerpo
[562] cuerpo,humano
[562] humano,secuencias

Top Word Pairs in Tweet in G1:
[542] oms,reconoce
[542] reconoce,sars
[542] sars,cov
[542] cov,nunca
[542] nunca,aislado
[542] aislado,purificado
[542] purificado,partir
[542] partir,cuerpo
[542] cuerpo,humano
[542] humano,secuencias

Top Word Pairs in Tweet in G2:
[129] 10,000
[129] 000,risk
[129] risk,transmission
[129] transmission,surfaces
[129] surfaces,conditional
[129] conditional,surface
[129] surface,actually
[129] actually,having
[129] having,virus
[129] virus,going

Top Word Pairs in Tweet in G3:
[2] sars,cov
[2] 2019,ncov

Top Word Pairs in Tweet in G4:
[73] アルファ株とデルタ株の組換え体とみられるsars,cov
[69] cov,2ウイルスの検出について
[46] 今回見つかったのは部位的には感染性,免疫逃避に影響を与える箇所ではないとしています
[46] 免疫逃避に影響を与える箇所ではないとしています,アルファ株とデルタ株の組換え体とみられるsars
[45] influenzer3,今回見つかったのは部位的には感染性
[24] sars,cov
[20] 感染研hp,アルファ株とデルタ株の組換え体とみられるsars
[20] 2ウイルスの検出について,2021
[20] 2021,10
[20] 10,18

Top Word Pairs in Tweet in G5:
[85] アルファ株とデルタ株の組換え体とみられるsars,cov
[85] cov,2ウイルスの検出について
[85] 2ウイルスの検出について,国立感染症研究所
[82] 国立感染症研究所,2021年10月18日
[82] 2021年10月18日,現時点では
[82] 現時点では,本組換え体による追加的な公衆衛生リスクは無いと考えられるが
[82] 本組換え体による追加的な公衆衛生リスクは無いと考えられるが,今後の動向に注意する
[81] motoisuzuki,アルファ株とデルタ株の組換え体とみられるsars
[3] 国立感染症研究所,デルタ株の部分は国内で流行するデルタ株由来と考えられ
[3] デルタ株の部分は国内で流行するデルタ株由来と考えられ,組換えが生じた箇所はorf6遺伝子以降で

Top Word Pairs in Tweet in G6:
[80] sars,cov
[60] covid,19
[48] scholars,portal
[29] chadox1,ncov
[29] ncov,19
[27] drml350phd,interesting
[24] 2019,ncov
[24] 2021,10
[24] articles,covid
[24] portal,périodiques

Top Word Pairs in Tweet in G7:
[64] analysis,scotland's
[64] scotland's,mortality
[64] mortality,114
[64] 114,000
[64] 000,sars
[64] sars,cov2
[64] cov2,infected
[64] infected,people
[64] people,revealed
[64] revealed,vaccine

Top Word Pairs in Tweet in G8:
[66] sars,cov
[54] oluşturmalarına,izin
[54] izin,veriyordu
[54] veriyordu,biraz
[54] biraz,uzun
[54] uzun,bir
[54] bir,okuma
[54] okuma,ama
[54] ama,kendinize
[54] kendinize,bir

Top Word Pairs in Tweet in G9:
[2] lower,viral
[2] viral,loads
[2] loads,reduced
[2] reduced,duration
[2] duration,infectiousness
[2] infectiousness,observed
[2] observed,vaccinated
[2] vaccinated,individuals
[2] individuals,infected
[2] infected,sars

Top Word Pairs in Tweet in G10:
[2] makes,think

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@jorgeadedo
@dfisman
@motoisuzuki
@nejm
@incirlinurcin
@influenzer3
@cdcgov
@drml350phd
@first10em
@aoihana1213

Top Mentioned in G1:
@jorgeadedo

Top Mentioned in G2:
@dfisman
@cdcgov
@first10em
@tpcarney
@ericnnanabu
@jasonrantz
@govinslee
@gwschmedes
@mweinraub87
@elliott_rabin

Top Mentioned in G3:
@alex_on_a14
@mcfunny
@maidelk
@blaineillimatta
@takethatct
@richienrg
@housekeep3r
@niklast20
@kstateturk
@dsrole

Top Mentioned in G4:
@influenzer3
@aoihana1213
@ygjumi
@bb45_colorado
@7dlpntuopeu9sba
@uwemon
@motoisuzuki

Top Mentioned in G5:
@motoisuzuki
@matiere

Top Mentioned in G6:
@drml350phd
@valdescabb
@jorisa84037033

Top Mentioned in G7:
@nejm
@motoisuzuki

Top Mentioned in G8:
@incirlinurcin
@tolgaozcelkk909

Top Mentioned in G9:
@justintrudeau
@leonaalleslev
@lraitt
@davidlametti
@ctvnews
@vassykapelos
@cbcnews
@globalnews
@robertfife
@mercedesglobal

Top Mentioned in G10:
@fillmorewhite
@r48557017
@gregabbott_tx
@robinlarder
@rln_nelson
@iandjbrown2
@williammarsward
@johndublin10
@gordon_dhg
@tragiicomedy

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@myfavoritescene
@ecodaren
@matiere
@independent
@sosorasora3
@citrus_kyoto
@viralvideovlogs
@thehill
@menabster

Top Tweeters in G1:
@vetehugo
@juan3pueblo
@ros1er
@rkastrejon
@roquesagrado
@dcolorruth
@silviofratini
@manu_k_tala
@engineer_28
@carlanun

Top Tweeters in G2:
@iamjoetrudeau
@ruthmkb
@hopealdridge
@michael_kunz
@kathy73921688
@geoffypjohnston
@teach_n_travel
@theslimdude
@scooterissima
@sandi89701936

Top Tweeters in G3:
@wjack76995
@takethatct
@keigh_see
@mcfunny
@jsaholmes
@wendyorent
@laikaandyuri
@patricksavalle
@carlsmythe
@davidsirias1

Top Tweeters in G4:
@ja8yum
@myfavoritescene
@ecodaren
@sosorasora3
@citrus_kyoto
@hurati
@packraty
@bb45_colorado
@cordwainerscat
@uchida_kawasaki

Top Tweeters in G5:
@matiere
@yuki22luna
@forzaoldbasterd
@supermnemonic
@heu_ge
@kijitoracat
@makoto_souji
@bon_nob
@flow07makemake
@mitsu5

Top Tweeters in G6:
@didaclopez
@03kustom
@enerphyschem
@dunvirkin
@qualityisarul3
@giovannidalloli
@afrkml
@iwashixdakumi
@valdescabb
@kuma_kichi_1q63

Top Tweeters in G7:
@adunlea
@ds20wk
@monitor_ph
@akima9936
@medicblasto
@metalsolter
@palmarine128
@techeante
@random_dragon
@skatiq3

Top Tweeters in G8:
@turkiye_1903
@sunsea35
@ilhanipcioglu
@srdaydin
@farat24
@1963ekrem
@yorukoglu20233
@alaaddinsmrkndi
@teryazy
@samyeliw8

Top Tweeters in G9:
@bbcnews
@ctvnews
@globalnews
@cbcnews
@kady
@gordbolton
@99freemind
@kateygoalie
@wikileaks
@trunews

Top Tweeters in G10:
@robmeekel
@oscarswild1
@chimera414
@dawntj90
@fillmorewhite
@rln_nelson
@keithamccluskey
@dan613
@ejwwest
@thedisproof