The graph represents a network of 6,974 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 Wednesday, 16 February 2022 at 09:55 UTC.
The requested start date was Wednesday, 16 February 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, 22-hour, 6-minute period from Saturday, 12 February 2022 at 14:19 UTC to Tuesday, 15 February 2022 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 : 6974
Unique Edges : 4878
Edges With Duplicates : 12358
Total Edges : 17236
Number of Edge Types : 5
Retweet : 4417
MentionsInRetweet : 6444
Mentions : 3108
Replies to : 2255
Tweet : 1012
Self-Loops : 1053
Reciprocated Vertex Pair Ratio : 0.0293052726861281
Reciprocated Edge Ratio : 0.056941848961196
Connected Components : 798
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 3605
Maximum Edges in a Connected Component : 11941
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.83433
Graph Density : 0.000187066743695036
Modularity : 0.479306
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,974 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 Wednesday, 16 February 2022 at 09:55 UTC.
The requested start date was Wednesday, 16 February 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, 22-hour, 6-minute period from Saturday, 12 February 2022 at 14:19 UTC to Tuesday, 15 February 2022 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:
[418] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [164] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [131] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [76] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html [76] https://www.cdc.gov/coronavirus/2019-ncov/lab/electronic-reporting-map.html [73] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10962-omi-genome.html [66] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html [51] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html [35] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html [31] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html Top URLs in Tweet in G1:
[9] https://twitter.com/AnonymeCitoyen/status/1492589694898552834?t=AYfFYYe2Dpd4KbH2W_hK0g&s=19 [7] https://twitter.com/Lisbeth6eme/status/1492603741945712645?s=20&t=-XeWWPe6IqKbR4BxwaXHpA [6] https://twitter.com/JeanBottari/status/1492882718073442305?t=AdwLjO5QVgP1WlWxfZFAXw&s=19 [6] https://twitter.com/realmarcel1/status/1492587196829810693 [6] https://twitter.com/Gourlotpascon/status/1492570612866367497 [5] https://twitter.com/RRetraite/status/1388229643581464581?t=NKJv15-vl77zbEknOf4jQw&s=19 [5] https://lemediaen442.fr/entretien-avec-raphael-cohen-la-plus-grande-experimentation-criminelle-sur-lespece-humaine-depuis-lholocauste/ [4] https://twitter.com/_2019_nCoV/status/1492595673115602947?s=20&t=-XeWWPe6IqKbR4BxwaXHpA [4] https://twitter.com/KARIMAMARKHODJ1/status/1492557113628975105?s=20&t=3JJaYMysGo8z4xxWMaMeZA [4] https://reseauinternational.net/la-crise-en-ukraine-ne-porte-pas-sur-lukraine-il-sagit-de-lallemagne/ Top URLs in Tweet in G2:
[7] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [4] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html [3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html [3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html [3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html [2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html [2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html [2] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/index.html Top URLs in Tweet in G3:
[7] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/ [1] https://nextstrain.org/ncov/gisaid/global/2022-01-26?branchLabel=none&f_clade_membership=20H%20%28Beta,%20V2%29,20I%20%28Alpha,%20V1%29,21A%20%28Delta%29,21C%20%28Epsilon%29,21G%20%28Lambda%29,21H%20%28Mu%29,21I%20%28Delta%29,21J%20%28Delta%29,21K%20%28Omicron%29,21L%20%28Omicron%29,20J%20%28Gamma,%20V3%29&l=unrooted&m=div Top URLs in Tweet in G4:
[26] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10962-omi-genome.html [24] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html [8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [7] https://www.cdc.gov/coronavirus/2019-ncov/your-health/gatherings.html [6] https://tools.cdc.gov/api/embed/downloader/download.asp?m=404952&c=531694 [6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html [6] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html#calculating-isolation [6] 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= [6] https://systems.jhu.edu/research/public-health/ncov/ [5] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html Top URLs in Tweet in G5:
[391] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [131] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [15] https://www.catapoke.com/viewer/?open=62b3f [13] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html [5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220208_gakkounotaisaku.html Top URLs in Tweet in G6:
[4] https://web.archive.org/web/20200213194555/https://rense.com/general96/wuhan-ncov-proves-useful-for-a-malthusian-cull-of-aging-societies-part6.php [4] https://threadreaderapp.com/thread/1334750651503398913.html [1] https://nextstrain.org/ncov/gisaid/global/2022-01-26?branchLabel=none&f_clade_membership=20H%20%28Beta,%20V2%29,20I%20%28Alpha,%20V1%29,21A%20%28Delta%29,21C%20%28Epsilon%29,21G%20%28Lambda%29,21H%20%28Mu%29,21I%20%28Delta%29,21J%20%28Delta%29,21K%20%28Omicron%29,21L%20%28Omicron%29,20J%20%28Gamma,%20V3%29&l=unrooted&m=div [1] https://nextstrain.org/groups/neherlab/ncov/21K [1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html Top URLs in Tweet in G7:
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html [1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html [1] https://www.deseret.com/coronavirus/2022/1/12/22881114/do-masks-really-prevent-omicron-heres-what-we-know-covid-n95-risk [1] https://www.webmd.com/lung/news/20210907/masks-limit-covid-spread-study [1] https://twitter.com/rachbarnhart/status/1492485305261305861 Top URLs in Tweet in G8:
[147] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [68] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html [28] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10962-omi-genome.html [26] https://www.pref.chiba.lg.jp/eishi/ncov-hotel.html [7] https://www.niid.go.jp/niid/ja/2019-ncov/2488-idsc/iasr-news/10961-505p01.html [6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [5] https://news.tv-asahi.co.jp/news_society/articles/000244775.html [5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyou-senyu.html [5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/ruikei.html [4] https://www.city.yokohama.lg.jp/kurashi/kenko-iryo/yobosesshu/kansensho/ncov-soudan.html#46C72 Top URLs in Tweet in G9:
[1] https://twitter.com/Living_InO/status/1492810906593636355 [1] https://twitter.com/LeslayAryane/status/1492587127829377031 [1] https://www.lefigaro.fr/vox/societe/le-passe-vaccinal-doit-etre-leve-maintenant-et-non-pas-juste-avant-le-premier-tour-20220213 [1] https://www.francesoir.fr/videos-les-debriefings/essais-cliniques-pfizer-le-tableau-de-bord-de-christine-cotton [1] https://www.youtube.com/watch?v=YmO5Pde3Jak&feature=youtu.be [1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html [1] https://twitter.com/Vince07442630/status/1490818396014972931?s=20&t=-M8pTvFi9tmzkygJyGDRdw [1] https://twitter.com/63_vincent/status/1493268063214608386 Top URLs in Tweet in G10:
[1] https://twitter.com/leila693829/status/1492599761588924416?t=27sC7s7P6n7Wlv4A9kGkmg&s=19 [1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1030] covid,19 [480] casos,nuevos [480] casos,activos [478] activos,94 [478] 94,fallecidos [475] fallecidos,registrados [473] informe,diario [473] diario,#covid_19 [471] febrero,35 [461] right,away Top Word Pairs in Tweet in G1:
[75] _2019_ncov,anonymecitoyen [47] ah,ah [41] cnews,eliot_deval [40] ils,sont [40] _2019_ncov,c'est [35] ils,ont [33] olivanto92,_2019_ncov [33] _2019_ncov,cnews [32] _2019_ncov,zelenskyyua [26] deux,ans Top Word Pairs in Tweet in G2:
[510] covid,19 [436] test,positive [436] positive,covid [436] 19,risk [436] risk,becoming [436] becoming,very [436] very,sick [436] sick,contact [436] contact,health [436] health,professional Top Word Pairs in Tweet in G3:
[476] casos,nuevos [476] casos,activos [474] activos,94 [474] 94,fallecidos [471] fallecidos,registrados [469] informe,diario [469] diario,#covid_19 [467] febrero,35 [454] ministeriosalud,informe [257] 35,038 Top Word Pairs in Tweet in G4:
[95] covid,19 [37] 2019,ncov [18] ncov,19 [16] chadox1,ncov [16] sars,cov [15] deux,ans [12] learn,more [12] 2022,02 [12] scholars,portal [11] 19,vaccination Top Word Pairs in Tweet in G5:
[371] 詳細は,co [371] 20,日 [371] 日,まで [366] ibaraki_kouhou,#新型コロナウイルス感染症情報 [325] うち重症者数,9名 [272] 本日の死亡者数,2名 [258] co,0iqvdzsuud [258] 0iqvdzsuud,20 [196] 9名,本日の死亡者数 [167] 2名,現在の入院者数 Top Word Pairs in Tweet in G6:
[188] 2019,ncov [183] document,quantified [183] quantified,virus [183] virus,isolates [183] isolates,2019 [183] ncov,available [183] available,cdc [183] cdc,use [183] use,time [182] ajacquitaylor,document Top Word Pairs in Tweet in G7:
[192] centers,disease [192] disease,control [192] control,prevention [192] prevention,recommends [192] recommends,wearing [192] wearing,masks [192] masks,indoors [192] indoors,during [192] during,periods [192] periods,high Top Word Pairs in Tweet in G8:
[133] の新型コロナウイルス感染症の情報,新規感染者数 [133] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります [53] 検査は増えずに陽性率だけあがっていく,64 [53] 64,32 [52] dondeli,検査は増えずに陽性率だけあがっていく [51] 2月13日,日 [51] 日,の新型コロナウイルス感染症の情報 [51] 新規感染者数,4173人 [51] 4173人,詳細データについてはこちらからご覧ください [50] chibaken_kouhou,2月13日 Top Word Pairs in Tweet in G9:
[76] crepin_sylvain,_2019_ncov [76] _2019_ncov,marc_doyer [76] marc_doyer,verity_france [76] verity_france,veroniquegenest [76] veroniquegenest,alainhoupert [76] alainhoupert,martinewonner [76] martinewonner,mullerbronnl [63] mullerbronnl,merci [63] merci,d'avance [62] d'avance,po Top Word Pairs in Tweet in G10:
[112] _2019_ncov,el_dic_tator [112] el_dic_tator,corsairduroy [109] rdp1603,_2019_ncov [83] blessé,cet [83] cet,état [82] corsairduroy,depuis [82] depuis,quand [82] quand,déplace [82] déplace,blessé [82] état,sans 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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