SARS-NCOV, Twitter, 5/27/2022 11:29:44 AM, 277151


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SARS-NCOV_2022-05-27_03-13-22.xlsx
SARS-NCOV_2022-05-27_03-13-22.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 27, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3lKZR3U
@sakamotofumie
@alefty123
@kenn_ffci
@cdcgov
@midnucas
@nextstrain
@imran_nisar
@roper_lab
@leplaymobil28
@rootbrian_

Top hashtags:
#covid19
#sarscov2
#coronavirus
#covidー19
#2019_ncov
#ncov2019
#ncov_2019
#ncov
#sars2020

Description:
Description
The graph represents a network of 599 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 Friday, 27 May 2022 at 10:13 UTC.

The requested start date was Friday, 27 May 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, 9-hour, 3-minute period from Friday, 13 May 2022 at 00:36 UTC to Thursday, 26 May 2022 at 09:39 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 : 599
Unique Edges : 302
Edges With Duplicates : 542
Total Edges : 844
Number of Edge Types : 5
Retweet : 188
MentionsInRetweet : 202
Mentions : 281
Replies to : 98
Tweet : 75
Self-Loops : 87
Reciprocated Vertex Pair Ratio : 0.00594059405940594
Reciprocated Edge Ratio : 0.0118110236220472
Connected Components : 116
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 137
Maximum Edges in a Connected Component : 275
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 1.97954
Graph Density : 0.00141819420327078
Modularity : 0.59123
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 599 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 Friday, 27 May 2022 at 10:13 UTC.

The requested start date was Friday, 27 May 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, 9-hour, 3-minute period from Friday, 13 May 2022 at 00:36 UTC to Thursday, 26 May 2022 at 09:39 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/masking-science-sars-cov2.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=
[13] 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/10900-sars-cov-2-b-1-1-530.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11119-covid19-16.html
[3] https://nextstrain.org/ncov/
[3] https://pulsmedycyny.pl/szczepionka-na-sars-cov-2-w-wielkiej-brytanii-startuja-testy-na-ludziach-988951
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanres%2Farticle%2FPIIS2213-2600%2822%2900087-X%2Ffulltext&rc=0
[3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1619457332454
[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=2022-05-24&search_in=LD

Top URLs in Tweet in G1:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1634654801820

Top URLs in Tweet in G2:
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G3:
[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=
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html
[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=2022-05-24&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=2022-05-12&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=2022-05-13&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=2022-05-14&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=2022-05-15&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=2022-05-16&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=2022-05-17&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=2022-05-18&search_in=LD

Top URLs in Tweet in G4:
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200127-sitrep-7-2019--ncov.pdf

Top URLs in Tweet in G5:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html

Top URLs in Tweet in G6:
[1] https://www.pasteur.fr/fr/espace-presse/documents-presse/institut-pasteur-isole-souches-du-coronavirus-2019-ncov-detecte-france

Top URLs in Tweet in G7:
[3] https://nextstrain.org/ncov/
[1] https://nextstrain.org/community/AKU-CITRIC-Center-for-Bioinformatics/ncov/Pakistan-Contextual?c=clade_membership
[1] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-classifications.html
[1] https://github.com/CDCgov/usa-sars-cov-2-nextstrain-sets

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:
[80] cdc.gov
[48] scholarsportal.info
[15] go.jp
[5] elsevierhealth.com
[4] nextstrain.org
[4] nature.com
[4] nih.gov
[3] gob.es
[3] pulsmedycyny.pl
[3] flutrackers.com

Top Domains in Tweet in G1:
[1] cdc.gov

Top Domains in Tweet in G2:
[2] cdc.gov

Top Domains in Tweet in G3:
[48] scholarsportal.info
[6] go.jp
[5] cdc.gov
[2] elsevierhealth.com
[2] gob.es
[1] ac.uk
[1] nih.gov
[1] dataemia.com
[1] scmp.com
[1] twitter.com

Top Domains in Tweet in G4:
[1] who.int

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

Top Domains in Tweet in G6:
[1] pasteur.fr

Top Domains in Tweet in G7:
[4] nextstrain.org
[1] cdc.gov
[1] github.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[27] covid19
[26] sarscov2
[3] coronavirus
[2] covidー19
[2] 2019_ncov
[2] ncov2019
[2] ncov_2019
[2] ncov
[2] sars2020
[2] sars2



Top Hashtags in Tweet in G3:
[24] covid19
[24] sarscov2
[1] taiwan
[1] síhaymuchovirus

Top Hashtags in Tweet in G4:
[2] coronaviruses

Top Words
Top Words in Tweet in Entire Graph:
[138] マスクのエビデンスが
[138] という声が一部あるようですので
[138] 参考まで
[138] マスク単独で予防できない
[138] マスク効果なし
[138] というのも不正確
[138] 複数の対策
[138] ワクチン
[138] 換気等々
[138] と組み合わせると

Top Words in Tweet in G1:
[138] マスクのエビデンスが
[138] という声が一部あるようですので
[138] 参考まで
[138] マスク単独で予防できない
[138] マスク効果なし
[138] というのも不正確
[138] 複数の対策
[138] ワクチン
[138] 換気等々
[138] と組み合わせると

Top Words in Tweet in G2:
[2] fishyfish67
[2] anvndarnamn5
[2] jasonwwalton1
[2] glinch72
[2] johnoz1900
[2] shastagecko
[2] ram0667
[2] bellronibell
[2] cbeckj
[2] numbersmean

Top Words in Tweet in G3:
[77] covid
[63] 19
[48] articles
[48] scholars
[48] portal
[31] sars
[31] cov
[27] 2022
[24] research
[24] 05

Top Words in Tweet in G4:
[5] person
[4] ing
[3] 19
[3] aka
[3] go
[3] pommedapie59
[3] outbreaks
[3] transmission
[2] sars_ncov_2
[2] various

Top Words in Tweet in G5:
[2] blow

Top Words in Tweet in G7:
[10] sars
[10] cov
[9] ba
[4] genomic
[4] epidemiology
[4] pakistan
[4] courtesy
[4] citric
[4] center
[4] bioinformatics

Top Words in Tweet in G8:
[9] sars
[8] ncov
[4] years
[3] million
[3] three
[3] torontostar
[2] bill
[2] virus
[2] covid
[2] 19

Top Words in Tweet in G9:
[4] covid
[3] sars
[3] 19
[3] coronavirus
[2] whitey900
[2] whykeepitup
[2] mattmcinnis6
[2] breezergalway
[2] jneill
[2] yakkstack

Top Words in Tweet in G10:
[2] studies

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[138] マスクのエビデンスが,という声が一部あるようですので
[138] という声が一部あるようですので,参考まで
[138] 参考まで,マスク単独で予防できない
[138] マスク単独で予防できない,マスク効果なし
[138] マスク効果なし,というのも不正確
[138] というのも不正確,複数の対策
[138] 複数の対策,ワクチン
[138] ワクチン,換気等々
[138] 換気等々,と組み合わせると
[138] と組み合わせると,感染に至る穴を防ぎやすいということ

Top Word Pairs in Tweet in G1:
[138] マスクのエビデンスが,という声が一部あるようですので
[138] という声が一部あるようですので,参考まで
[138] 参考まで,マスク単独で予防できない
[138] マスク単独で予防できない,マスク効果なし
[138] マスク効果なし,というのも不正確
[138] というのも不正確,複数の対策
[138] 複数の対策,ワクチン
[138] ワクチン,換気等々
[138] 換気等々,と組み合わせると
[138] と組み合わせると,感染に至る穴を防ぎやすいということ

Top Word Pairs in Tweet in G2:
[2] ic_lib,jeffbernard1
[2] david4677484957,alfred_statesx
[2] rustyaway,navybrat59
[2] navybrat59,artyshouse
[2] artyshouse,neilcharles1450
[2] neilcharles1450,thedvsmarcus
[2] mrantiwoke,incytometry
[2] incytometry,sndhsbl
[2] sndhsbl,jaisans
[2] jaisans,usamriidca

Top Word Pairs in Tweet in G3:
[52] covid,19
[48] scholars,portal
[27] sars,cov
[24] 2022,05
[24] articles,covid
[24] portal,périodiques
[24] 19,scholars
[24] #covid19,#sarscov2
[24] portal,journals
[12] nouvelle,recherche

Top Word Pairs in Tweet in G4:
[2] weaponised,ing
[2] returned,ing
[2] go,figure
[2] pommedapie59,crimemind3
[2] aka,covid
[2] outbreaks,#coronaviruses
[2] #coronaviruses,mers
[2] mers,sars
[2] sars,person
[2] person,person

Top Word Pairs in Tweet in G7:
[10] sars,cov
[4] genomic,epidemiology
[4] epidemiology,sars
[4] cov,pakistan
[4] pakistan,courtesy
[4] courtesy,citric
[4] citric,center
[4] center,bioinformatics
[4] bioinformatics,akuglobal
[4] akuglobal,waqasuddink

Top Word Pairs in Tweet in G8:
[8] sars,ncov
[3] three,years
[2] covid,19
[2] million,died
[2] within,three
[2] find,way

Top Word Pairs in Tweet in G9:
[3] covid,19
[2] whitey900,whykeepitup
[2] whykeepitup,mattmcinnis6
[2] mattmcinnis6,breezergalway
[2] breezergalway,jneill
[2] jneill,yakkstack
[2] yakkstack,honjonba
[2] honjonba,spyvsspy20
[2] spyvsspy20,tracyjayney64
[2] tracyjayney64,cpho_canada

Top Replied-To
Top Replied-To in Entire Graph:
@mc70599
@ericuman
@fishyfish67
@ruanniemann
@marceleagleeye
@kuramochijin
@9joism
@gailfinke
@thefreds
@chrishatt11

Top Replied-To in G2:
@fishyfish67

Top Replied-To in G4:
@chrishatt11
@pommedapie59
@itsjillgardner

Top Replied-To in G5:
@rowdykate2

Top Replied-To in G6:
@gaston_l_

Top Replied-To in G8:
@ruanniemann
@sophielouisecc
@ctvtoronto
@mariebabik
@sobadzangief
@genn1982
@ampincivero

Top Replied-To in G9:
@whitey900

Top Replied-To in G10:
@s22bos21

Top Mentioned
Top Mentioned in Entire Graph:
@sakamotofumie
@drml350phd
@cdcgov
@ryan_mac_phd
@akuglobal
@waqasuddink
@nextstrain
@imran_nisar
@torontostar

Top Mentioned in G1:
@sakamotofumie

Top Mentioned in G2:
@anvndarnamn5
@jasonwwalton1
@glinch72
@johnoz1900
@shastagecko
@ram0667
@bellronibell
@cbeckj
@numbersmean
@minnesotaexpat

Top Mentioned in G3:
@drml350phd
@kirurin1
@oorja_label
@elenaturval

Top Mentioned in G4:
@pommedapie59
@crimemind3
@who
@mercsharoncar
@hyggequeen1
@zsimayi
@alfred_cabonena
@itsjillgardner
@thehill
@cdcgov

Top Mentioned in G5:
@ro10reed
@saltaovladimir
@brodjustice
@hwielding
@oxharryh1
@ross_country
@jennyr37094269
@noteworthypoint
@bobbie07605390
@judysimpson222

Top Mentioned in G6:
@arikouts
@deyyanno
@grard07854442
@jkd50482684
@freeads_eu
@darnitcomics
@sarcasmplayer
@jguitoune
@duxpacis
@akim66024

Top Mentioned in G7:
@akuglobal
@waqasuddink
@nextstrain
@cdcgov
@imran_nisar
@aleen
@samiah__k

Top Mentioned in G8:
@torontostar
@madduxhall
@ctvtoronto
@pawprints1986
@zdracton

Top Mentioned in G9:
@whykeepitup
@mattmcinnis6
@breezergalway
@jneill
@yakkstack
@honjonba
@spyvsspy20
@tracyjayney64
@cpho_canada
@ravenxv

Top Mentioned in G10:
@efendimichelle
@vickidilorenzo
@bostonward1dems
@mayorwu
@rweingarten

Top Tweeters
Top Tweeters in Entire Graph:
@delta
@debrammason1
@thehill
@sonoo_y
@otakutokkai
@808cyatumi
@baronianconsult
@fuku_chihuahua
@5910mikiya
@mare_0303

Top Tweeters in G1:
@sonoo_y
@otakutokkai
@808cyatumi
@fuku_chihuahua
@5910mikiya
@mare_0303
@rijin_nakamura
@neukarafrance
@tdmamu
@redrose_daisuke

Top Tweeters in G2:
@debrammason1
@ram0667
@numbersmean
@insane_voice
@barbarajdurkin
@asinister
@artyshouse
@glinch72
@sampsonramm
@jaisans

Top Tweeters in G3:
@didaclopez
@932jp
@dataemia
@donsw2
@elenaturval
@ymori117
@magot111
@ucl_discovery
@marthzcantu
@kongbabee

Top Tweeters in G4:
@thehill
@crimemind3
@kenn_ffci
@alfred_cabonena
@itsjillgardner
@zsimayi
@un
@who
@hyggequeen1
@chrishatt11

Top Tweeters in G5:
@madeulookcouk
@judysimpson222
@noteworthypoint
@oxharryh1
@saltaovladimir
@ro10reed
@roper_lab
@brodjustice
@ecubrodysom
@helen_wingrave

Top Tweeters in G6:
@sailorrooscout
@arikouts
@grard07854442
@akim66024
@deyyanno
@leplaymobil28
@darnitcomics
@duxpacis
@sbspawn92
@freeads_eu

Top Tweeters in G7:
@hollygodarkly
@karamcnair
@midnucas
@cdcgov
@aleen
@lakeland31
@fyezahjehan
@bacterialchem
@akuglobal
@imran_nisar

Top Tweeters in G8:
@torontostar
@rootbrian_
@ctvtoronto
@ampincivero
@pawprints1986
@ruanniemann
@sobadzangief
@genn1982
@mariebabik
@madduxhall

Top Tweeters in G9:
@ravenxv
@breezergalway
@jneill
@mattmcinnis6
@whykeepitup
@tracyjayney64
@cpho_canada
@spyvsspy20
@yakkstack
@whitey900

Top Tweeters in G10:
@rweingarten
@s22bos21
@sheeri
@efendimichelle
@mayorwu
@vickidilorenzo
@bostonward1dems