SARS-NCOV, Twitter, 12/1/2022 12:10:46 PM, 285272


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SARS-NCOV_2022-12-01_04-06-09.xlsx
SARS-NCOV_2022-12-01_04-06-09.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 01, 2022
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3ugD0kY
@dfocosi
@ministeriosalud
@mariamgiola
@tyaya9822
@jaidsenmoni
@g69w
@dadshonan
@sukunabikona7
@hosono_54
@090_0655

Top hashtags:
#covid_19
#covid19
#sarscov2
#chinaprotests
#sweden
#time
#covidiot
#sars
#cov2
#ncov

Description:
Description
The graph represents a network of 1,272 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, 01 December 2022 at 12:07 UTC.

The requested start date was Thursday, 01 December 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 13-day, 3-hour, 48-minute period from Thursday, 17 November 2022 at 06:08 UTC to Wednesday, 30 November 2022 at 09:57 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 : 1272
Unique Edges : 459
Edges With Duplicates : 2680
Total Edges : 3139
Number of Edge Types : 5
Retweet : 1314
MentionsInRetweet : 1415
Replies to : 81
Mentions : 226
Tweet : 103
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.00477707006369427
Reciprocated Edge Ratio : 0.00950871632329636
Connected Components : 123
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 838
Maximum Edges in a Connected Component : 2677
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.79962
Graph Density : 0.000780596667804779
Modularity : 0.380302
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,272 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, 01 December 2022 at 12:07 UTC.

The requested start date was Thursday, 01 December 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 13-day, 3-hour, 48-minute period from Thursday, 17 November 2022 at 06:08 UTC to Wednesday, 30 November 2022 at 09:57 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:
[85] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[45] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[21] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[7] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html
[5] https://jessicar.substack.com/p/is-sars-ncov-2-associated-systemic
[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.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[3] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1905900
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html
[3] https://doorlesscarp953.substack.com/p/s2-subunit-of-sars-ncov-2-interacts

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:
[20] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G3:
[15] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html

Top URLs in Tweet in G4:
[76] 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 G5:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html

Top URLs in Tweet in G7:
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.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=
[3] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1905900
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104723/
[2] https://jessicar.substack.com/p/is-sars-ncov-2-associated-systemic
[2] https://jessicar.substack.com/p/is-sars-ncov-2-associated-systemic?utm_source=post-email-title&publication_id=516896&post_id=87248792&isFreemail=true&utm_medium=email
[2] https://jessicar.substack.com/p/is-sars-ncov-2-associated-systemic?r=xgpj7&utm_medium=ios&utm_campaign=post
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html
[1] https://twitter.com/this1wierdgirl/status/1592978926779138050
[1] https://www.niid.go.jp/niid/ja/2019-ncov/10760-covid19-40.html

Top URLs in Tweet in G8:
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html

Top URLs in Tweet in G9:
[2] 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/masking-science-sars-cov2.html#anchor_1634654759193
[1] https://www.pnas.org/doi/10.1073/pnas.2110117118
[1] https://jamanetwork.com/journals/jama/fullarticle/2776536

Top URLs in Tweet in G10:
[1] https://www.mdpi.com/1422-0067/23/15/8122
[1] https://www.mdpi.com/1420-3049/27/3/705
[1] https://www.mdpi.com/2076-3921/10/9/1483/htm
[1] http://www.melatonin-research.net/index.php/MR/article/view/86
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/fr/covidwho-1957346?lang=en
[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:
[94] go.jp
[72] cdc.gov
[31] substack.com
[21] minsal.cl
[8] twitter.com
[8] scholarsportal.info
[5] who.int
[4] publichealthontario.ca
[4] bvsalud.org
[4] mdpi.com

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

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

Top Domains in Tweet in G3:
[15] cdc.gov
[1] go.jp

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

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

Top Domains in Tweet in G7:
[23] substack.com
[10] go.jp
[8] scholarsportal.info
[4] cdc.gov
[3] twitter.com
[3] nih.gov
[3] bvsalud.org
[1] minsal.cl
[1] lile.cl
[1] nature.com

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

Top Domains in Tweet in G9:
[3] cdc.gov
[1] pnas.org
[1] jamanetwork.com

Top Domains in Tweet in G10:
[3] mdpi.com
[2] who.int
[1] melatonin-research.net
[1] bvsalud.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[665] covid_19
[9] covid19
[4] sarscov2
[2] chinaprotests
[2] sweden
[2] time
[1] covidiot
[1] sars
[1] cov2
[1] ncov



Top Hashtags in Tweet in G2:
[665] covid_19

Top Hashtags in Tweet in G7:
[5] covid19
[4] sarscov2
[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
[1] 岸田文雄

Top Hashtags in Tweet in G10:
[2] covid19

Top Words
Top Words in Tweet in Entire Graph:
[1330] casos
[665] fallecidos
[665] registrados
[665] activos
[665] diario
[665] nuevos
[665] informe
[665] #covid_19
[665] noviembre
[652] sars

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

Top Words in Tweet in G2:
[1330] casos
[665] informe
[665] activos
[665] diario
[665] registrados
[665] fallecidos
[665] nuevos
[665] #covid_19
[665] noviembre
[645] ministeriosalud

Top Words in Tweet in G3:
[87] マスクの使用は安全であり
[87] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない
[84] dadshonan
[75] cdc
[71] マスク着用が子供の感情や言語の発達を損なうという明確な証拠はない
[58] hosono_54
[18] ojimakohei
[17] nejm論文が引用しているのは米cdcと米国小児学会の見解です
[16] マスク着用が子供の感情や言
[12] 米cdc

Top Words in Tweet in G4:
[78] cov
[78] sars
[77] bq
[76] の変異株について
[76] 1系統
[76] 新型コロナウイルス
[76] xbb系統
[76] 感染
[76] 伝播性の増加や抗原性の変化が懸念される
[76] 第22報

Top Words in Tweet in G5:
[3] test
[2] influenza
[2] cov
[2] viruses
[2] sars

Top Words in Tweet in G6:
[2] 2019
[2] eua

Top Words in Tweet in G7:
[33] sars
[23] cov
[22] ncov
[15] 19
[14] induced
[14] protein
[14] clotting
[14] micro
[13] due
[13] hemolysis

Top Words in Tweet in G8:
[16] cov
[16] sars
[15] riddle
[15] level
[15] studied
[15] ok
[15] laboratory
[15] kids
[15] biosafety
[14] contr

Top Words in Tweet in G9:
[3] justin_hart
[2] more
[2] joshuarjongema

Top Words in Tweet in G10:
[4] melatonin
[3] cov
[3] sars
[2] dose
[2] pregnant
[2] higher
[2] women
[2] countries
[2] vaccines
[2] risks

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[665] fallecidos,registrados
[665] casos,nuevos
[665] informe,diario
[665] casos,activos
[665] diario,#covid_19
[645] ministeriosalud,informe
[611] sars,cov
[455] containment,increasing
[455] mutation,rate
[455] cov,mutate

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

Top Word Pairs in Tweet in G2:
[665] casos,activos
[665] fallecidos,registrados
[665] diario,#covid_19
[665] informe,diario
[665] casos,nuevos
[645] ministeriosalud,informe
[150] nuevos,11
[114] registrados,62
[104] nuevos,16
[103] nuevos,14

Top Word Pairs in Tweet in G3:
[87] マスクの使用は安全であり,激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない
[75] cdc,マスクの使用は安全であり
[71] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない,マスク着用が子供の感情や言語の発達を損なうという明確な証拠はない
[58] hosono_54,cdc
[57] dadshonan,hosono_54
[17] ojimakohei,nejm論文が引用しているのは米cdcと米国小児学会の見解です
[17] nejm論文が引用しているのは米cdcと米国小児学会の見解です,cdc
[16] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない,マスク着用が子供の感情や言
[16] dadshonan,ojimakohei
[12] 米cdc,マスクの使用は安全であり

Top Word Pairs in Tweet in G4:
[78] sars,cov
[76] 感染,伝播性の増加や抗原性の変化が懸念される
[76] 第22報,xbb系統
[76] xbb系統,bq
[76] bq,1系統
[76] の変異株について,第22報
[76] 1系統,bs
[76] 新型コロナウイルス,sars
[76] cov,の変異株について
[76] 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 G5:
[2] sars,cov
[2] influenza,viruses

Top Word Pairs in Tweet in G7:
[19] sars,cov
[14] sars,ncov
[14] micro,clotting
[13] due,spike
[13] induced,hemolysis
[13] hemolysis,resulting
[13] amyloid,plaque
[13] resulting,amyloid
[13] spike,protein
[13] ncov,associated

Top Word Pairs in Tweet in G8:
[16] sars,cov
[15] ok,kids
[15] level,laboratory
[15] cov,studied
[15] biosafety,level
[15] riddle,sars
[15] studied,biosafety
[15] laboratory,ok
[14] kids,contr
[14] youarelobbylud,riddle

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

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@ministeriosalud
@dfocosi
@dadshonan
@hosono_54
@jaidsenmoni
@sukunabikona7
@ojimakohei
@youarelobbylud
@c45425
@martinkulldorff

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

Top Mentioned in G2:
@ministeriosalud
@dfocosi

Top Mentioned in G3:
@dadshonan
@hosono_54
@ojimakohei
@jaidsenmoni

Top Mentioned in G4:
@jaidsenmoni
@sukunabikona7
@dfocosi

Top Mentioned in G5:
@jr4_truth
@asinister
@enlight42
@atomskssanakan
@bjchippindale
@marionmartin199
@jaisans
@mephistotabern1
@obundwie
@jpgcrowley

Top Mentioned in G6:
@yearrooster
@pbunny000
@skeeduu
@ksliberal
@digimalice
@larry85785724
@missy8008135
@howienudet
@quidrises
@royruehle

Top Mentioned in G7:
@drml350phd
@momotar37156452
@paularitchie3

Top Mentioned in G8:
@youarelobbylud
@dfocosi

Top Mentioned in G9:
@justin_hart
@starhorsepax
@textexington
@keithroragen
@tepperson0101
@thereal_truther

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

Top Tweeters
Top Tweeters in Entire Graph:
@simanekomama
@matiere
@rodolfoxoliz
@sippomagari
@fabiparraguezm
@hossy1987
@nekokasiya
@curiocat13
@otakutokkai
@taka910910

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

Top Tweeters in G2:
@rodolfoxoliz
@fabiparraguezm
@trigorosa
@siquieresmelees
@dragontauro
@turkiantof
@infozeus
@dmvecinal
@laporres
@gonzaloxrojas

Top Tweeters in G3:
@simanekomama
@sippomagari
@hossy1987
@seabat707
@soramiffy
@hiyo_hairyheart
@vittoriobennet
@safefield
@fukanju
@marukocorop2

Top Tweeters in G4:
@nekokasiya
@otakutokkai
@taka910910
@paku
@lily_victoria
@_7479989014082
@howling18
@wai201303
@fbwm8888
@tesshou

Top Tweeters in G5:
@dude_america
@takethatct
@veritatem2021
@obundwie
@asinister
@thedisproof
@louiscy72344053
@ejwwest
@atomskssanakan
@25_cycle

Top Tweeters in G6:
@vincegottalotta
@ladyoftheocean1
@howienudet
@hrt6017
@angryfleas
@danitrump2020
@flattielover
@therrienv
@quidrises
@ksliberal

Top Tweeters in G7:
@paularitchie3
@dopaminergic13
@facec3
@kfgibson
@devilhorsecsa
@smokeynpaul
@mytyltyltyl
@aferrazzzz
@mewarrior_au
@mamianagenjin

Top Tweeters in G8:
@tiredinor4now
@whywouldyou_uk
@abigailstern1
@claricecsorcha
@cerisella1
@ajcrowlor
@youarelobbylud
@waldhexe6
@whistlefey
@lara_norkus

Top Tweeters in G9:
@thereal_truther
@tepperson0101
@justin_hart
@hiddenpinky
@textexington
@ezikusia
@redmonkeyidaho
@keithroragen
@joshuarjongema
@starhorsepax

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