NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

SARS-NCOV_2022-11-25_03-13-22.xlsx (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
NodeXLExcelAutomator
Uploaded on:
November 25, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3tZnnhy
@dfocosi
@tyaya9822
@jaidsenmoni
@sukunabikona7
@ministeriosalud
@090_0655
@abigailstern1
@youarelobbylud
@abundantlanduse
@alexanderodoran

Top hashtags:
#covid_19
#covid19
#sarscov2
#coronavirus
#masksdontwork
#sweden

Description:
Description
The graph represents a network of 935 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, 25 November 2022 at 11:14 UTC.

The requested start date was Friday, 25 November 2022 at 01:01 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 9-day, 11-hour, 10-minute period from Sunday, 13 November 2022 at 20:02 UTC to Wednesday, 23 November 2022 at 07:13 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 : 935
Unique Edges : 171
Edges With Duplicates : 2079
Total Edges : 2250
Number of Edge Types : 5
Retweet : 1008
MentionsInRetweet : 1022
Tweet : 60
Replies to : 58
Mentions : 102
Self-Loops : 67
Reciprocated Vertex Pair Ratio : 0.0011441647597254
Reciprocated Edge Ratio : 0.00228571428571429
Connected Components : 78
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 545
Maximum Edges in a Connected Component : 1101
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.521488
Graph Density : 0.00100195811242543
Modularity : 0.347826
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 935 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, 25 November 2022 at 11:14 UTC.

The requested start date was Friday, 25 November 2022 at 01:01 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 9-day, 11-hour, 10-minute period from Sunday, 13 November 2022 at 20:02 UTC to Wednesday, 23 November 2022 at 07:13 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:
[80] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[29] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[14] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[9] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264389
[7] https://www.pnas.org/doi/10.1073/pnas.2014564118
[6] https://med.stanford.edu/news/all-news/2021/09/surgical-masks-covid-19.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1634654801820
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0843-2
[4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499874/
[4] https://www.sciencedirect.com/science/article/pii/S2211335516301553

Top URLs in Tweet in G1:
[1] https://nextstrain.org/ncov/gisaid/global/all-time?l=clock
[1] https://twitter.com/DGBassani/status/1593010262151684097

Top URLs in Tweet in G2:
[13] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G3:
[74] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11572-sars-cov-2-21.html

Top URLs in Tweet in G4:
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[2] https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1006698
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-0695-z
[2] 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.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-sars-cov2-whole-genome-sequencing-epi-summary.pdf?rev=8030f83ea3eb4c51892c8fe35d6e62dc&sc_lang=en
[2] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-sars-cov2-whole-genome-sequencing-epi-summary.pdf?rev=8030f83ea3eb4c51892c8fe35d6e62dc&sc_lang=fr
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104723/
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Clinical_case_definition-2021.1
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html#:~:text=Inhalation%20of%20air%20carrying%20very,droplets%20and%20particles%20is%20greatest

Top URLs in Tweet in G5:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html

Top URLs in Tweet in G6:
[9] https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264389
[5] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0843-2
[4] https://www.sciencedirect.com/science/article/pii/S2211335516301553
[4] https://pubmed.ncbi.nlm.nih.gov/32467353/
[4] https://www.pnas.org/doi/10.1073/pnas.2014564118
[4] https://med.stanford.edu/news/all-news/2021/09/surgical-masks-covid-19.html
[4] https://academic.oup.com/jtm/article/28/7/taab144/6365138
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1634654801820

Top URLs in Tweet in G8:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1634654832779
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html#anchor_1619457332454

Top URLs in Tweet in G9:
[1] https://www.who.int/news/item/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov)

Top URLs in Tweet in G10:
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-FAQ-Pregnancy-Vaccines-2022.1
[1] https://apps.who.int/iris/bitstream/handle/10665/361714/WHO-2019-nCoV-Vaccines-SAGE-Boosters-2022.1-eng.pdf

Top Domains
Top Domains in Tweet in Entire Graph:
[86] go.jp
[49] cdc.gov
[14] minsal.cl
[12] nih.gov
[11] plos.org
[9] nature.com
[8] pnas.org
[6] publichealthontario.ca
[6] stanford.edu
[5] twitter.com

Top Domains in Tweet in G1:
[1] nextstrain.org
[1] twitter.com

Top Domains in Tweet in G2:
[13] minsal.cl

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

Top Domains in Tweet in G4:
[8] go.jp
[4] cdc.gov
[4] scholarsportal.info
[4] publichealthontario.ca
[3] nature.com
[3] nih.gov
[2] plos.org
[2] twitter.com
[2] gob.es
[1] who.int

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

Top Domains in Tweet in G6:
[9] plos.org
[5] nature.com
[4] sciencedirect.com
[4] nih.gov
[4] pnas.org
[4] stanford.edu
[4] oup.com
[4] cdc.gov

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

Top Domains in Tweet in G9:
[1] who.int

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[467] covid_19
[6] covid19
[4] sarscov2
[3] coronavirus
[3] masksdontwork
[2] sweden
[2] time
[2] covidー19
[2] 2019_ncov
[2] ncov2019



Top Hashtags in Tweet in G2:
[467] covid_19

Top Hashtags in Tweet in G4:
[3] covid19
[2] sarscov2
[1] test
[1] covidisnotover
[1] pfizer
[1] 新型コロナウイルス
[1] 変異株
[1] 第8波
[1] 医療崩壊
[1] 自宅放置

Top Hashtags in Tweet in G10:
[2] covid19

Top Words
Top Words in Tweet in Entire Graph:
[934] casos
[599] sars
[584] cov
[467] fallecidos
[467] registrados
[467] activos
[467] diario
[467] nuevos
[467] informe
[467] #covid_19

Top Words in Tweet in G1:
[445] sars
[445] containment
[445] cov
[445] mutate
[445] clearest
[445] mutation
[445] further
[445] increasing
[445] rate
[445] without

Top Words in Tweet in G2:
[934] casos
[467] fallecidos
[467] activos
[467] nuevos
[467] noviembre
[467] registrados
[467] #covid_19
[467] informe
[467] diario
[454] ministeriosalud

Top Words in Tweet in G3:
[76] cov
[76] sars
[75] bq
[74] の変異株について
[74] 1系統
[74] 新型コロナウイルス
[74] xbb系統
[74] 感染
[74] 伝播性の増加や抗原性の変化が懸念される
[74] 第22報

Top Words in Tweet in G4:
[28] sars
[26] cov
[16] 19
[14] ncov
[12] covid
[7] 2019
[6] 2022
[6] variants
[5] research
[5] gt

Top Words in Tweet in G5:
[15] cov
[15] sars
[14] riddle
[14] level
[14] studied
[14] ok
[14] laboratory
[14] kids
[14] biosafety
[13] contr

Top Words in Tweet in G6:
[3] paulmurphy_td
[3] raggedlines
[3] dave__anthony
[3] astaines
[2] juliahb1
[2] nextstepdevelop
[2] jeromeadamsmd
[2] studies

Top Words in Tweet in G7:
[5] ncov
[5] sars
[3] jagerx9
[3] mikeeteeze
[2] virus
[2] mewthreex89
[2] those
[2] older

Top Words in Tweet in G8:
[2] theofleury14

Top Words in Tweet in G9:
[3] jmcrookston
[3] triggered
[3] january
[3] dbdugger
[3] limits_stop
[3] freitasabr
[3] 2020
[3] organichemusic
[3] abundantlanduse
[2] realcheckmarker

Top Words in Tweet in G10:
[2] dose
[2] pregnant
[2] higher
[2] women
[2] countries
[2] vaccines
[2] risks
[2] given
[2] lifesaving
[2] cov

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[582] sars,cov
[467] fallecidos,registrados
[467] casos,nuevos
[467] informe,diario
[467] casos,activos
[467] diario,#covid_19
[454] ministeriosalud,informe
[450] mutation,rate
[450] containment,increasing
[450] mutate,further

Top Word Pairs in Tweet in G1:
[445] containment,increasing
[445] evidence,without
[445] sars,cov
[445] mutate,further
[445] mutation,rate
[445] increasing,chances
[445] clearest,evidence
[445] without,containment
[445] cov,mutate
[445] further,mutation

Top Word Pairs in Tweet in G2:
[467] casos,activos
[467] fallecidos,registrados
[467] diario,#covid_19
[467] informe,diario
[467] casos,nuevos
[454] ministeriosalud,informe
[123] nuevos,14
[113] 24,fallecidos
[113] activos,24
[104] nuevos,16

Top Word Pairs in Tweet in G3:
[76] sars,cov
[74] xbb系統,bq
[74] bq,1系統
[74] 第22報,xbb系統
[74] の変異株について,第22報
[74] 新型コロナウイルス,sars
[74] 感染,伝播性の増加や抗原性の変化が懸念される
[74] 1系統,bs
[74] cov,の変異株について
[74] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス

Top Word Pairs in Tweet in G4:
[24] sars,cov
[10] covid,19
[7] 2019,ncov
[4] 2022,11
[4] scholars,portal
[4] ncov,19
[4] chadox1,ncov
[3] delta,variant
[3] 19,vaccine
[2] mixed,vaccines

Top Word Pairs in Tweet in G5:
[15] sars,cov
[14] ok,kids
[14] level,laboratory
[14] cov,studied
[14] biosafety,level
[14] riddle,sars
[14] studied,biosafety
[14] laboratory,ok
[13] kids,contr
[13] youarelobbylud,riddle

Top Word Pairs in Tweet in G6:
[3] astaines,paulmurphy_td
[2] raggedlines,astaines
[2] dave__anthony,raggedlines
[2] jeromeadamsmd,studies

Top Word Pairs in Tweet in G7:
[5] sars,ncov
[2] jagerx9,mikeeteeze
[2] mikeeteeze,mewthreex89

Top Word Pairs in Tweet in G9:
[3] triggered,january
[3] dbdugger,abundantlanduse
[3] limits_stop,dbdugger
[3] january,2020
[3] jmcrookston,freitasabr
[3] organichemusic,triggered
[3] freitasabr,limits_stop
[3] abundantlanduse,organichemusic
[2] realcheckmarker,jmcrookston

Top Word Pairs in Tweet in G10:
[2] higher,risks
[2] vaccines,given
[2] pregnant,women
[2] given,higher
[2] women,countries
[2] risks,face
[2] booster,dose
[2] sars,cov
[2] lifesaving,#covid19
[2] countries,access

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@dfocosi
@jaidsenmoni
@sukunabikona7
@youarelobbylud
@freitasabr
@limits_stop
@dbdugger
@abundantlanduse
@organichemusic

Top Mentioned in G1:
@dfocosi
@tryangregory
@denise_dewald
@k_g_andersen
@erictopol
@kakape
@ewencallaway

Top Mentioned in G2:
@ministeriosalud

Top Mentioned in G3:
@jaidsenmoni
@sukunabikona7
@dfocosi

Top Mentioned in G4:
@benasnow
@drml350phd

Top Mentioned in G5:
@youarelobbylud
@dfocosi

Top Mentioned in G6:
@astaines
@paulmurphy_td
@dave__anthony
@raggedlines
@nextstepdevelop
@jeromeadamsmd
@stevet84323800
@juliahb1

Top Mentioned in G7:
@mikeeteeze
@mewthreex89
@kfawcettman
@ryangerritsen
@davidpatte1

Top Mentioned in G8:
@theofleury14
@treenacollison
@sithensinanet
@dalekammerer
@mcmikeskywalker

Top Mentioned in G9:
@freitasabr
@limits_stop
@dbdugger
@abundantlanduse
@organichemusic
@realcheckmarker
@jmcrookston
@dfocosi

Top Mentioned in G10:
@who
@who_europe
@whoateu
@ema_news

Top Tweeters
Top Tweeters in Entire Graph:
@matiere
@nekokasiya
@curiocat13
@otakutokkai
@estarianne
@paku
@trigorosa
@silvrib
@lily_victoria
@dragontauro

Top Tweeters in G1:
@curiocat13
@estarianne
@silvrib
@lauriespoon
@wavetop
@jrehnj
@kirkmurphy
@bbddpp
@meallyhen
@dropoutnation

Top Tweeters in G2:
@trigorosa
@dragontauro
@turkiantof
@infozeus
@laporres
@mgarcia318
@negravillana
@lelelx
@angelicadopazo
@pablolabarcac

Top Tweeters in G3:
@nekokasiya
@otakutokkai
@paku
@lily_victoria
@_7479989014082
@howling18
@wai201303
@fbwm8888
@jinta_6
@dacowazu

Top Tweeters in G4:
@didaclopez
@mytyltyltyl
@mewarrior_au
@mamianagenjin
@miguela71643080
@benasnow
@nakapyo
@mokopomme
@drml350phd
@gks11519

Top Tweeters in G5:
@tiredinor4now
@whywouldyou_uk
@abigailstern1
@claricecsorcha
@ajcrowlor
@youarelobbylud
@whistlefey
@lara_norkus
@elysiarios
@climateactionn8

Top Tweeters in G6:
@juliahb1
@astaines
@thought4rce
@paulmurphy_td
@jeromeadamsmd
@philjenkins_
@raggedlines
@nextstepdevelop
@dave__anthony
@stevet84323800

Top Tweeters in G7:
@rootbrian_
@ryangerritsen
@stevent65674368
@kfawcettman
@weleesewodewick
@mikeeteeze
@davidpatte1
@mewthreex89
@jagerx9

Top Tweeters in G8:
@mcmikeskywalker
@theofleury14
@ginamacina60
@zr1100c3
@canadiandarth
@treenacollison
@connorlogan51
@dalekammerer
@sithensinanet

Top Tweeters in G9:
@abundantlanduse
@jmcrookston
@alexanderodoran
@limits_stop
@dbdugger
@freitasabr
@organichemusic
@realcheckmarker

Top Tweeters in G10:
@who
@ailment73
@who_europe
@nykrtk
@ema_news
@ekalmanen
@whoateu