The graph represents a network of 7,942 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 Friday, 03 December 2021 at 10:14 UTC.
The requested start date was Friday, 03 December 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 2-day, 12-hour, 26-minute period from Tuesday, 30 November 2021 at 00:00 UTC to Thursday, 02 December 2021 at 12:27 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 : 7942
Unique Edges : 4076
Edges With Duplicates : 13282
Total Edges : 17358
Number of Edge Types : 5
Replies to : 1496
Mentions : 3683
Retweet : 5093
MentionsInRetweet : 6043
Tweet : 1043
Self-Loops : 1076
Reciprocated Vertex Pair Ratio : 0.0193213949104618
Reciprocated Edge Ratio : 0.03791030975497
Connected Components : 945
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 4389
Maximum Edges in a Connected Component : 11767
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.155045
Graph Density : 0.000137186517628705
Modularity : 0.485903
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,942 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 Friday, 03 December 2021 at 10:14 UTC.
The requested start date was Friday, 03 December 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 2-day, 12-hour, 26-minute period from Tuesday, 30 November 2021 at 00:00 UTC to Thursday, 02 December 2021 at 12:27 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:
[394] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [182] https://nextstrain.org/ncov/gisaid/global [106] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [68] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [67] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html [63] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html [61] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-surveillance.html [59] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html [58] https://nextstrain.org/groups/neherlab/ncov/africa-south-africa?branchLabel=none&c=gt-S_681&d=tree,entropy,frequencies&gmin=15>=nuc.10449A,S.681R&l=radial&r=country&tl=S1_mutations [57] http://ncov.mohw.go.kr/ Top URLs in Tweet in G1:
[17] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [15] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [7] https://www.cdc.gov/coronavirus/2019-ncov/variants/variant.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html#Know [4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html [4] https://www.emergenza24.org/epidemia-polmonite-coronavirus-2019-ncov/ [4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html [4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/infection-control-recommendations.html [3] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html Top URLs in Tweet in G2:
[5] https://www.mesopinions.com/petition/sante/enquete-senatoriale-effets-secondaires-differents-vaccins/161345?source=twitter [5] https://lemediaen442.fr/vaccinee-pfizer-carlotta-masala-est-morte-a-27-ans-dune-cardiomyopathie/ [4] https://twitter.com/Sheherazade111/status/1463613563214479361?t=JH8N36sWGK-uVMuBCUQqig&s=19 [3] https://twitter.com/dubreuilhmarcel/status/1466072374692958219 [3] https://twitter.com/17_so2020/status/1466312167578238981?t=RXtY7ySS2yUR6DGE8IE2Bw&s=19 [2] https://pgibertie.com/2021/12/01/les-teletoubibs-mentent-plus-que-jamais/ [2] https://www.amnesty.fr/liberte-d-expression/petitions/non-a-la-reconnaissance-faciale [2] https://www.covid19lafin.org/ [2] https://twitter.com/GiNo_2019_nCoV/status/1465985575417040899 [1] https://observatoiredumensonge.com/2021/11/30/franc-tireur-les-talibans-du-president/ Top URLs in Tweet in G3:
[46] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9357-2019-ncov-02.html [19] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html [4] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/10800-covid19-02.html [3] http://ncov.mohw.go.kr [2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10468-496d07.html [2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html [1] https://twitter.com/norinotes/status/1465200557430218757 [1] https://nextstrain.org/groups/neherlab/ncov/africa-south-africa?branchLabel=none&c=gt-S_681&d=tree,entropy,frequencies&gmin=15>=nuc.10449A,S.681R&l=radial&r=country&tl=S1_mutations [1] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10468-496d07.html [1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10790-cepr-b11529-1.html Top URLs in Tweet in G4:
[55] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?c=country&label=clade:21K%20%28Omicron%29&r=country [12] https://nextstrain.org/ncov/gisaid/africa [5] https://covariants.org/ [5] https://nextstrain.org/ncov/open/global [3] https://nextstrain.org/groups/neherlab/ncov/21K [3] https://nextstrain.org/ncov/gisaid/africa?l=scatter&scatterY=S1_mutations [3] https://nextstrain.org/groups/neherlab/ncov/21K.Omicron?r=country [2] https://nextstrain.org/ncov/gisaid/global?l=clock [2] https://nextstrain.org/narratives/ncov/sit-rep/nl/2020-03-13 [2] https://nextstrain.org/groups/neherlab/ncov/africa-south-africa?branchLabel=none&c=gt-S_681&d=tree,entropy,frequencies&gmin=15>=nuc.10449A,S.681R&l=radial&r=country&tl=S1_mutations Top URLs in Tweet in G5:
[24] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/certificat-covid-digital-ue/ [21] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [14] https://nextstrain.org/ncov/gisaid/global [13] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html [10] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html [10] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html [6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/situacionActual.htm [6] https://systems.jhu.edu/research/public-health/ncov/ [5] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html Top URLs in Tweet in G6:
[7] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [2] https://nextstrain.org/groups/neherlab/ncov/africa-south-africa?branchLabel=none&c=gt-S_681&d=tree,entropy,frequencies&gmin=15>=nuc.10449A,S.681R&l=radial&r=country&tl=S1_mutations [2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html [2] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html [1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/cdc-advice-about-2019ncov/929786-cdc-health-alert-network-new-sars-cov-2-variant-of-concern-identified-omicron-b-1-1-529-variant-recommendations-for-the-public-december-1-2021 [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html [1] https://twitter.com/CDCgov/status/1466136519320690702 [1] https://twitter.com/CDCgov/status/1465747779238739968 Top URLs in Tweet in G7:
[382] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [1] https://www.sankei.com/article/20210719-BY3D2742AFM7DGLFD2MM3QHRSI/?outputType=theme_tokyo2020 [1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/10530-covid19-50.html [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/ Top URLs in Tweet in G8:
[26] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10792-cepr-b11529-2.html [1] https://www.cdc.gov/coronavirus/2019-ncov/community/parks-rec/aquatic-venues.html Top URLs in Tweet in G9:
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/testing.html [1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html [1] https://www.cdc.gov/csels/dls/locs/2021/07-21-2021-lab-alert-Changes_CDC_RT-PCR_SARS-CoV-2_Testing_1.html [1] https://www.cdc.gov/coronavirus/2019-ncov/community/ventilation.html [1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/transmission_k_12_schools.html [1] https://www.ecdc.europa.eu/sites/default/files/documents/covid-19-face-masks-community-first-update.pdf [1] https://www.who.int/publications/i/item/advice-on-the-use-of-masks-in-the-community-during-home-care-and-in-healthcare-settings-in-the-context-of-the-novel-coronavirus-(2019-ncov)-outbreak [1] https://www.hiqa.ie/sites/default/files/2020-08/Evidence-summary-face-masks-in-the-community.pdf [1] https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD006207.pub5/full Top URLs in Tweet in G10:
[133] https://nextstrain.org/ncov/gisaid/global [4] http://ncov.mohw.go.kr/tcmBoardList.do?brdId=3&brdGubun= [3] http://ncov.mohw.go.kr/ [1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2484-idsc/9357-2019-ncov-02.html [1] https://www.mhlw.go.jp/content/10906000/000860238.pdf [1] https://www.mhlw.go.jp/stf/covid-19/kokunainohasseijoukyou.html#h2_1 [1] https://twitter.com/narumita/status/1465876914296348674 Top Domains
Top Word Pairs in Tweet in Entire Graph:
[791] #covid19,vaccine [659] everyone,ages [616] covid,19 [565] older,booster [548] recommendation,#covid19 [483] ages,18 [482] 18,older [461] vaccine,booster [456] booster,doses [455] doses,everyone Top Word Pairs in Tweet in G1:
[709] #covid19,vaccine [583] everyone,ages [521] older,booster [516] recommendation,#covid19 [430] ages,18 [426] vaccine,booster [426] 18,older [423] booster,doses [422] cdc,strengthening [422] strengthening,recommendation Top Word Pairs in Tweet in G2:
[39] ah,ah [32] gino_2019_ncov,giberpa [22] salvatoreren,gino_2019_ncov [21] gino_2019_ncov,pascalpraud [21] jaimehorta17,fitzlemonade1 [20] pascalpraud,eliselucet [20] remitell,f_philippot [19] louan07,zyrs10 [19] zyrs10,remitell [19] f_philippot,upr_asselineau Top Word Pairs in Tweet in G3:
[406] これが石垣議員がいう感染研の比較検証のデータなのですが,実際に検査してみたら抗原検査はct値30以上では陰性と判定されると評価しているのであって [406] 実際に検査してみたら抗原検査はct値30以上では陰性と判定されると評価しているのであって,数字上はその通りだが実際検査してみて遜色ないという厚労省の回答は全く意味不明 [405] derive_ip,これが石垣議員がいう感染研の比較検証のデータなのですが [405] 数字上はその通りだが実際検査してみて遜色ないという厚労省の回答は全く意味不明,しかも抗原検査はガッツ [46] 保健所の検査基準は感染研が決めています,co [46] co,zl2krfouii [46] zl2krfouii,保健所が都道府県の下にあるとはいっても [46] 保健所が都道府県の下にあるとはいっても,感染研の決めた基準を専門家ではない知事が逸脱することはまず無理 [46] 感染研の決めた基準を専門家ではない知事が逸脱することはまず無理,和歌山は例外的にすごい [46] 和歌山は例外的にすごい,なので Top Word Pairs in Tweet in G4:
[89] omicron,sequences [71] mid,2020 [70] clear,lineage [70] lineage,leading [70] leading,omicron [70] omicron,old [70] old,possibly [70] possibly,mid [70] 2020,huge [70] huge,amount Top Word Pairs in Tweet in G5:
[111] covid,19 [29] sars,cov [27] certificat,covid [23] ncov,19 [22] learn,more [21] chadox1,ncov [18] booster,shot [17] 19,vaccine [16] 2019,ncov [15] divendres,desembre Top Word Pairs in Tweet in G6:
[253] open,windows [253] windows,run [253] run,portable [253] portable,hepa [253] hepa,cleaner [253] cleaner,improve [253] improve,ventilation [253] ventilation,home [253] home,help [253] help,prevent Top Word Pairs in Tweet in G7:
[381] #新型コロナウイルス,感染症情報 [381] 本日の新規陽性者数,0名 [381] 0名,本日の退院等回復者数 [381] うち重症者数,0名 [381] 0名,詳しくはこちらをご覧ください [376] ibaraki_kouhou,#新型コロナウイルス [374] 現在の入院者数,0名 [374] 0名,うち重症者数 [240] 詳しくはこちらをご覧ください,引 [134] 本日の退院等回復者数,1名 Top Word Pairs in Tweet in G8:
[209] sars,cov [209] cov,2の変異株b [209] 2の変異株b,529系統 [209] 529系統,オミクロン株 [209] オミクロン株,について [209] について,第２報 [184] オミクロン株,の11月28日時点におけるリスク評価 [184] の11月28日時点におけるリスク評価,前半は専門的すぎて難しいですが [184] 前半は専門的すぎて難しいですが,後半の [184] 後半の,評価 Top Word Pairs in Tweet in G9:
[20] bebert701,andylumm [15] rtheatheist,kayvonpaul [15] kayvonpaul,themelyssak [15] themelyssak,bebert701 [15] andylumm,barryjohnreid21 [15] barryjohnreid21,pawley_robert [15] pawley_robert,burgerlab12 [15] burgerlab12,markmcdougall13 [15] 2019,ncov [14] bill20538001,kathmarval Top Word Pairs in Tweet in G10:
[133] 改めて見ると,オミクロン株がデルタ株とは出自が全く違うんだと良く分かる [132] tjo_datasci,改めて見ると [4] 12,韓国 [4] 韓国,新型コロナ [4] 新型コロナ,11 [4] 11,29に方針変更 [4] 29に方針変更,確定症例は在宅治療を基本 [4] 確定症例は在宅治療を基本,入院の必要がある場合にのみ病床を割り当て [4] 入院の必要がある場合にのみ病床を割り当て,短期外来診療センターを活用 [4] 短期外来診療センターを活用,指定の医療機関 Top Replied-To in Entire Graph:
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