The graph represents a network of 1,788 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 Tuesday, 02 March 2021 at 11:45 UTC.
The requested start date was Tuesday, 02 March 2021 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, 8-hour, 15-minute period from Tuesday, 16 February 2021 at 01:53 UTC to Monday, 01 March 2021 at 10:09 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 : 1788
Unique Edges : 1080
Edges With Duplicates : 1711
Total Edges : 2791
Number of Edge Types : 5
Retweet : 740
MentionsInRetweet : 935
Tweet : 264
Replies to : 263
Mentions : 589
Self-Loops : 270
Reciprocated Vertex Pair Ratio : 0.00304692260816575
Reciprocated Edge Ratio : 0.00607533414337789
Connected Components : 345
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 486
Maximum Edges in a Connected Component : 1195
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.008301
Graph Density : 0.000515154815602118
Modularity : 0.602041
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,788 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 Tuesday, 02 March 2021 at 11:45 UTC.
The requested start date was Tuesday, 02 March 2021 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, 8-hour, 15-minute period from Tuesday, 16 February 2021 at 01:53 UTC to Monday, 01 March 2021 at 10:09 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 URLs in Tweet in Entire Graph:
[106] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html [106] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html [93] https://nextstrain.org/ncov [50] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html [45] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.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= [12] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en [12] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html [8] https://africacdc.org/news-item/statement-on-the-efficacy-of-the-astrazeneca-covid-19-vaccine-chadox1-ncov-19-against-the-sars-cov-2-variants/ [7] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/global-variant-map.html Top URLs in Tweet in G1:
[30] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html [26] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html [10] https://nextstrain.org/ncov [2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov.html [1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e506b3e5e2058724d20307d77503059&location_id=4698587505305901794&signature=24bd3a53214b0c713ef8df0779e2a3341e7cf0e2b71beae3dc649a04d3c4fde5 [1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10170-covid19-36.html [1] https://search.jamas.or.jp/api/opensearch?q=SARS%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9-2/TH%20or%20%22%E3%82%B3%E3%83%AD%E3%83%8A%E3%82%A6%E3%82%A4%E3%83%AB%E3%82%B9%E6%80%A5%E6%80%A7%E5%91%BC%E5%90%B8%E5%99%A8%E7%96%BE%E6%82%A3(2019-nCoV)%22/TH%20or%20COVID-19/AL%20or%20(%E3%82%B3%E3%83%AD%E3%83%8A/TA%20and%20DT=2020 [1] https://b.hatena.ne.jp/-/redirect?code=77502f725e506b325e50774a4d212f347721527d77202f59&location_id=4698587505305901794&signature=19b2b7edb8facc6b2d76fa6fbdea4ff37cac650cabff7cca0f036b8d23baeefa [1] https://nextstrain.org/groups/neherlab/ncov/S.E484?c=gt-S_484&f_country=China,Japan,South%20Africa,USA,United%20Kingdom,Brazil&lang=ja&r=country&transmissions=show [1] https://nextstrain.org/groups/neherlab/ncov/S.E484?c=pangolin_lineage&f_country=China,Japan,South%20Africa,USA,United%20Kingdom,Brazil&lang=ja&r=country&transmissions=show Top URLs in Tweet in G2:
[36] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html [13] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html [5] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html [5] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html [3] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant-cases.html [3] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/global-variant-map.html [2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Proteccion_Trabajadores_SARS-CoV-2.pdf [2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10152-493p01.html [2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/AnexoIIpaises-yzonasderiesgo_entre01032021y14032021.pdf [2] https://tools.cdc.gov/api/embed/downloader/download.asp?m=403372&c=416837 Top URLs in Tweet in G3:
[82] https://nextstrain.org/ncov [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= [4] https://nextstrain.org/ncov/africa [4] https://nextstrain.org/ncov/south-america [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=2021-02-27&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=2021-02-15&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=2021-02-16&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=2021-02-17&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=2021-02-18&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=2021-02-19&search_in=LD Top URLs in Tweet in G4:
[1] https://nextstrain.org/ncov/global?fbclid=IwAR0XIrkuNmhqiMLICVRAnXMkVMeyZDiIpGg-7fOmF1kFmTUIea236H9CUeU Top URLs in Tweet in G5:
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/index.html [2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html [2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/transmission_k_12_schools.html [1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html [1] https://twitter.com/briancolder/status/1365156654522789893 [1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/genomic-surveillance-dashboard.html [1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burden.html [1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/global-variant-map.html [1] https://www.cdc.gov/coronavirus/2019-ncov/more/index.html [1] http://medixinhaler.com Top URLs in Tweet in G6:
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html [1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html Top URLs in Tweet in G7:
[4] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/variant-surveillance/variant-info.html [1] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3779160 Top URLs in Tweet in G8:
[31] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10169-covid19-35.html [3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10133-491d01.html [2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10188-493p02.html [2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10174-covid19-37.html [1] https://www.niid.go.jp/niid/ja/others/9478-covid19-16.html [1] https://nextstrain.org/ncov Top URLs in Tweet in G9:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html#:~:text=Airborne%20transmission%20is%20infection%20spread,and%20time%20(typically%20hours) [2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html [1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html [1] https://www.who.int/publications/i/item/WHO-2019-nCoV-genomic-sequencing-GISRS-2021.1 [1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cloth-face-cover-guidance.html [1] https://www.who.int/ar/news/item/26-06-1442-covax-statement-on-new-variants-of-sars-cov-2 [1] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-AZD1222-2021.1/ Top URLs in Tweet in G10:
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html Top Domains
Top Word Pairs in Tweet in Entire Graph:
[609] sars,cov [279] 新型コロナウイルス,sars [277] 感染,伝播性の増加や抗原性の変化が懸念される [277] 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 [164] cov,の新規変異株について [120] の新規変異株について,第6報 [117] #covid19,#sarscov2 [116] covid,19 [112] sars,cov2 [109] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね,中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と Top Word Pairs in Tweet in G1:
[185] sars,cov [184] 感染,伝播性の増加や抗原性の変化が懸念される [184] 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 [184] 新型コロナウイルス,sars [107] あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね,中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と [107] 中和抗体からの逃避が報告されているe484k変異はゲノム解析の中から検出と,感染 [106] kenmomd,あー感染研提供の変異株スクリーニングはn501y変異を見てるんですね [106] cov,の新規変異株に [78] cov,の新規変異株について [41] カリフォルニアで急増中とされている,cal Top Word Pairs in Tweet in G2:
[91] sars,cov [39] cov,の新規変異株について [37] 感染,伝播性の増加や抗原性の変化が懸念される [37] 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 [37] 新型コロナウイルス,sars [37] の新規変異株について,第6報 [17] covid,19 [15] 新型コロナウイルスsars,cov [13] cov,spikeタンパク質 [13] spikeタンパク質,e484k変異を有するb Top Word Pairs in Tweet in G3:
[106] #covid19,#sarscov2 [82] thanks,#opendata [82] #opendata,sharing [82] sharing,gisaid [72] nextstrain,thanks [64] gisaid,we've [64] we've,updated [60] #sarscov2,sequences [52] covid,19 [52] scholars,portal Top Word Pairs in Tweet in G4:
[97] sito,tutte [97] tutte,varianti [97] varianti,conosciute [97] conosciute,finora [97] finora,sars [97] sars,cov2 [97] cov2,capire [97] capire,razza [97] razza,follia [97] follia,rappresenti Top Word Pairs in Tweet in G5:
[62] sars,cov [53] national,sars [53] cov,strain [53] strain,surveillance [53] surveillance,program [46] #dyk,cdc [46] cdc,uses [46] uses,national [46] program,detect [46] detect,monitor Top Word Pairs in Tweet in G7:
[42] sars,cov [38] chadox1,ncov [38] ncov,19 [37] aparece,preprint [37] preprint,thelancet [37] thelancet,eficacia [37] eficacia,chadox1 [37] 19,frente [37] frente,variante [37] variante,sars Top Word Pairs in Tweet in G8:
[35] sars,cov [34] 感染,伝播性の増加や抗原性の変化が懸念される [34] 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 [34] 新型コロナウイルス,sars [31] cov,の新規変異株について [31] の新規変異株について,第6報 [23] 第6報,2月12日 [23] 2月12日,国立感染症研究所 [23] 国立感染症研究所,かなりまとまってます [22] earl_covid19_tw,感染 Top Word Pairs in Tweet in G9:
[11] doesnt,call [11] call,genomic [11] genomic,sequencing [11] sequencing,surveillance [11] surveillance,better [11] better,monitor [11] monitor,#sarscov2 [11] #sarscov2,evolution [11] evolution,provide [11] provide,guidance Top Word Pairs in Tweet in G10:
[26] sars,cov [22] aerosols,spread [22] spread,covid [22] covid,epidemiology [22] epidemiology,sars [22] cov,indicates [22] indicates,infections [22] infections,spread [21] collignonpeter,aerosols [5] airborne,transmission 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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