The graph represents a network of 8,825 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 03 January 2022 at 10:42 UTC.
The requested start date was Monday, 03 January 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 2-day, 11-hour, 41-minute period from Wednesday, 29 December 2021 at 00:44 UTC to Friday, 31 December 2021 at 12:26 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
Vertices : 8825
Unique Edges : 5931
Edges With Duplicates : 11293
Total Edges : 17224
Number of Edge Types : 5
Retweet : 4200
MentionsInRetweet : 5557
Replies to : 2055
Mentions : 4104
Tweet : 1308
Self-Loops : 1349
Reciprocated Vertex Pair Ratio : 0.0181281618887015
Reciprocated Edge Ratio : 0.0356107660455487
Connected Components : 1350
Single-Vertex Connected Components : 412
Maximum Vertices in a Connected Component : 3689
Maximum Edges in a Connected Component : 9938
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.515
Graph Density : 0.000124050041221598
Modularity : 0.550886
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,825 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 03 January 2022 at 10:42 UTC.
The requested start date was Monday, 03 January 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 2-day, 11-hour, 41-minute period from Wednesday, 29 December 2021 at 00:44 UTC to Friday, 31 December 2021 at 12:26 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 : 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 URLs in Tweet in Entire Graph:
[261] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [79] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html [72] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [64] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html [63] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [62] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html [61] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [55] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_532_COVID-19.pdf [53] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1 [51] https://www.cdc.gov/coronavirus/2019-ncov/lab/virus-requests.html Top URLs in Tweet in G1:
[24] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/ [5] https://odysee.com/@freehumansloveforall:d/Rodolphe-Bacquet-sur-LCI-TV-28-decembre-2021:2 [4] https://www.francesoir.fr/politique-france/plainte-bonsens-palombi-et-journalistes#.YcsC_DO9-Vs.twitter [4] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/?source=LLB226860001&co_source1=TSA226950001&utm_campaign=non-au-pass-vaccinal&utm_source=labe&utm_medium=emailing&utm_source=sfmc&utm_medium=email&utm_campaign=annonce+LCI&isBat=false&d=LABE%20ALL&sk=YWduZXMuaGVjdG9yMUBnbWFpbC5jb20=&e=0f27222d0ba344ae11a65a3957c7716991c529b1c8188ece5f4f2b3a3e5993fb&j=726328&l=140&b=26031&sid=7803882&senddate=2021-12-28 [4] https://www.brighteon.com/bd0dc7f1-22bb-4889-81a7-98aefdf00147 [3] https://petitions.assemblee-nationale.fr/initiatives/i-495 [3] https://twitter.com/mazagan_ft/status/1475806026146459651?s=21 [3] https://www.leslignesbougent.org/petitions/non-au-pass-vaccinal-5503/#formulaire [2] https://www.youtube.com/watch?v=zGwBx_I-UgY [2] https://pgibertie.com/2021/12/29/le-danger-ce-nest-pas-omicron-mais-les-hysteriques-qui-dirigent-la-france/ Top URLs in Tweet in G2:
[11] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html [10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html [6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html [6] https://lda.senate.gov/filings/public/filing/8fc0d400-e8da-4205-975a-f50d49a84cd0/print/ [6] https://www.cdc.gov/coronavirus/2019-ncov/hcp/mitigating-staff-shortages.html [6] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html [5] https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19-how-is-it-transmitted [5] https://www.cdc.gov/csels/dls/locs/2021/08-02-2021-lab-alert-Clarifications_about_Retirement_CDC_2019_Novel_Coronavirus_1.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq-children.html Top URLs in Tweet in G3:
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [12] https://www.cdc.gov/csels/dls/locs/2021/07-21-2021-lab-alert-Changes_CDC_RT-PCR_SARS-CoV-2_Testing_1.html [8] https://nextstrain.org/ncov/gisaid/global [8] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html [7] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html [7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html [6] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-enhanced-estimates-omicron-severity-study.pdf?sc_lang=en [6] https://systems.jhu.edu/research/public-health/ncov/ [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq-children.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html Top URLs in Tweet in G4:
[3] https://www.cdc.gov/mmwr/volumes/70/wr/mm7027e2.htm [3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html [3] https://www.cdc.gov/vaccines/acip/meetings/slides-2021-11-2-3.html [3] https://www.rki.de/DE/Content/Infekt/EpidBull/Archiv/2021/Ausgaben/33_21.pdf?__blob=publicationFile [1] https://nextstrain.org/groups/neherlab/ncov/france?branchLabel=none&c=gt-S_69&d=tree,entropy,frequencies&f_clade_membership=21J%20%28Delta%29>=S.484A,484Q,69-&l=radial&p=full&r=country&tl=S1_mutations [1] https://nextstrain.org/groups/neherlab/ncov/france?branchLabel=none&c=gt-S_484&d=tree,entropy,frequencies&f_clade_membership=21J%20%28Delta%29&f_country=France>=S.484A,484Q&l=radial&p=full&r=country&tl=S1_mutations [1] https://nextstrain.org/groups/neherlab/ncov/france?branchLabel=none&c=S1_mutations&d=tree,entropy,frequencies&dmin=2021-09-10&f_country=France&f_pango_default=B.1.640&f_recency=One%20week%20ago>=S.501Y&l=radial&p=full&r=country&tl=S1_mutations [1] https://nextstrain.org/groups/neherlab/ncov/israel?branchLabel=none&c=ACE2_binding_site_mutations&d=tree,entropy,frequencies&f_clade_membership=21J%20%28Delta%29>=S.501Y&l=radial&p=full&r=country&tl=S1_mutations [1] https://nextstrain.org/groups/neherlab/ncov/united-kingdom?branchLabel=none&c=ACE2_binding_site_mutations&d=tree,entropy,frequencies&f_clade_membership=21M%20%28Omicron%29&f_country=United%20Kingdom&l=radial&p=full&r=country&tl=S1_mutations [1] https://nextstrain.org/groups/neherlab/ncov/united-kingdom?branchLabel=none&c=gt-S_484&d=tree,entropy,frequencies&dmin=2021-11-02&f_clade_membership=21J%20%28Delta%29&f_country=United%20Kingdom&f_recency=3-7%20days%20ago&gmin=15&l=scatter&p=full&r=country&tl=S1_mutations Top URLs in Tweet in G5:
[14] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-enhanced-estimates-omicron-severity-study.pdf?sc_lang=en [4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-risk-assesment-hcp.html [4] https://www.cdc.gov/coronavirus/2019-ncov/science/forecasting/forecasting-us.html [3] https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 [1] https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/holidays/celebrations.html [1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/mitigating-staff-shortages.html [1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-daily-epi-summary-report.pdf?sc_lang=en [1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-omicron-weekly-epi-summary.pdf?sc_lang=en [1] https://nextstrain.org/ncov/gisaid/global [1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html Top URLs in Tweet in G6:
[2] https://www.cdc.gov/csels/dls/locs/2021/07-21-2021-lab-alert-Changes_CDC_RT-PCR_SARS-CoV-2_Testing_1.html [2] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html [1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2821%2900451-5%2Ffulltext&rc=0 [1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaneur%2Farticle%2FPIIS1474-4422%2821%2900416-6%2Ffulltext&rc=0 [1] https://www.fhi.no/en/news/2021/menstrual-changes-following-covid-19-vaccination/ [1] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-TTS-2021.1 [1] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html [1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=Most%20people%20who%20get%20COVID,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D [1] https://nextstrain.org/ncov/gisaid/global?fbclid=IwAR2sPqluXFi9T_uuWm0w4sZQUFhs1EzmpCX9yNM_NCHhBDuBGzSFV6llJpQ Top URLs in Tweet in G7:
[254] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html [1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10876-sars-cov-2-b-1-1-529.html Top URLs in Tweet in G8:
[28] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_532_COVID-19.pdf [24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_533_COVID-19.pdf [24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20211229.pdf [24] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20211230.pdf [6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_531_COVID-19.pdf [5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/ciudadania.htm [2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_527_COVID-19.pdf [2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_530_COVID-19.pdf [2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/pbiVacunacion.htm [2] https://www.vacunacovid.gob.es/ Top URLs in Tweet in G9:
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-omicron-weekly-epi-summary.pdf?sc_lang=en [1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf Top URLs in Tweet in G10:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/adolescents.html [1] https://espanol.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html [1] https://www.zusammengegencorona.de/en/corona-schutzimpfung-ab-12-jahren-welche-kinder-sich-impfen-lassen-sollten/ [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html?s=09 Top Domains
Top Word Pairs in Tweet in Entire Graph:
[728] delta,variant [725] covid,19 [382] similar,omicron [364] variant,delta [360] variant,appeared [360] 10,more [360] more,mutations [360] omicron,source [359] appeared,10 [359] mutations,similar Top Word Pairs in Tweet in G1:
[45] vctr_mfr,borowskimike [39] moreaugilles4,borowskimike [36] ce,sont [33] _2019_ncov,babinfrank1 [32] martinacharb,_2019_ncov [31] moreaugilles4,vctr_mfr [31] borowskimike,_2019_ncov [28] 000,signatures [27] ah,ah [26] secretwar_,gino_2019_ncov Top Word Pairs in Tweet in G2:
[188] #covid19,vaccine [95] help,stop [94] covid,19 [86] children,#covid19 [86] yes,studies [86] studies,shown [86] shown,safe [86] vaccine,vaccines [86] vaccines,including [85] safe,children Top Word Pairs in Tweet in G3:
[159] 2019,ncov [118] covid,19 [87] cases,increase [87] ncov,recombinomics [87] recombinomics,inc [86] covid,cases [51] coronavirus,2019 [44] cdc,2019 [43] novel,coronavirus [41] 2019,novel Top Word Pairs in Tweet in G4:
[694] delta,variant [347] variant,delta [347] variant,appeared [347] appeared,10 [347] 10,more [347] more,mutations [347] mutations,similar [347] similar,omicron [347] omicron,source [346] gab_h_r,delta Top Word Pairs in Tweet in G5:
[172] vs,delta [159] matched,cohort [130] elegant,work [130] work,publichealthon [130] publichealthon,matched [130] cohort,severity [130] severity,hosp [130] hosp,death [130] death,omi [130] omi,vs Top Word Pairs in Tweet in G6:
[14] 2019,ncov [10] pcr,test [8] coronavirus,2019 [8] sars,cov [8] 2021,cdc [7] ncov,czasie [7] po,31 [7] 31,grudnia [7] grudnia,2021 [7] cdc,wycofa Top Word Pairs in Tweet in G7:
[251] #新型コロナウイルス,感染症情報 [251] うち重症者数,0名 [251] 0名,詳しくはこちらをご覧ください [247] ibaraki_kouhou,#新型コロナウイルス [171] 本日の退院等回復者数,0名 [171] 0名,現在の入院者数 [167] 現在の入院者数,5名 [167] 5名,うち重症者数 [91] 感染症情報,12月30日 [91] 12月30日,本日の新規陽性者数 Top Word Pairs in Tweet in G8:
[92] sanidadgob,actualización [53] actualización,datos [53] datos,#covid19 [53] #covid19,infografías [53] infografías,materiales [53] materiales,coronavirus [46] actualización,informe [46] informe,actividad [46] actividad,#vacunación [46] #vacunación,españa Top Word Pairs in Tweet in G9:
[112] summary,omicron [112] omicron,ontario [112] ontario,little [112] little,behind [112] behind,data [112] data,public [112] public,health [112] health,ontario [112] ontario,current [112] current,december Top Word Pairs in Tweet in G10:
[104] ee,uu [101] acuerdo,cdc [101] cdc,ee [101] uu,documentado [101] documentado,casos [101] casos,miocarditis [101] miocarditis,niños [101] niños,vacunados [101] vacunados,pfizer [101] pfizer,moderna Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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