The graph represents a network of 8,020 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 Saturday, 29 January 2022 at 11:24 UTC.
The requested start date was Saturday, 29 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, 16-hour, 20-minute period from Tuesday, 25 January 2022 at 20:03 UTC to Friday, 28 January 2022 at 12:24 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 : 8020
Unique Edges : 4721
Edges With Duplicates : 12255
Total Edges : 16976
Number of Edge Types : 5
Retweet : 4984
MentionsInRetweet : 6494
Tweet : 1073
Replies to : 1544
Mentions : 2881
Self-Loops : 1111
Reciprocated Vertex Pair Ratio : 0.01137241912333
Reciprocated Edge Ratio : 0.0224890829694323
Connected Components : 989
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 4490
Maximum Edges in a Connected Component : 12107
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.338868
Graph Density : 0.000142429809004114
Modularity : 0.526226
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,020 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 Saturday, 29 January 2022 at 11:24 UTC.
The requested start date was Saturday, 29 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, 16-hour, 20-minute period from Tuesday, 25 January 2022 at 20:03 UTC to Friday, 28 January 2022 at 12:24 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:
[543] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [164] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [97] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [69] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html [65] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html [65] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html [60] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html [51] https://nextstrain.org/ncov/gisaid/global?l=clock [48] 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 Top URLs in Tweet in G1:
[13] https://twitter.com/nc_vert/status/1486439132188790786?t=7_xzAIa9VBA4w5Wa_f3SFA&s=09 [3] https://systems.jhu.edu/research/public-health/ncov/ [3] https://t.me/trottasilvano/18294 [3] https://twitter.com/RRetraite/status/1375216907444441090?t=Q_veI2SGL2L0f91ymvcZcA&s=19 [3] https://twitter.com/yukinek56432140/status/1486094619351953416?s=21 [3] https://www.courrier-picard.fr/id272232/article/2022-01-24/une-professeure-de-lettres-modernes-decede-apres-avoir-perdu-connaissance-au [2] https://pgibertie.com/2022/01/26/le-seul-determinant-dune-faible-mortalite-est-la-possibilite-de-soins-precoces-autorisant-livermectine-inde-indonesie-japon/ [2] https://threadreaderapp.com/thread/1401967205374476293.html [2] https://www.youtube.com/watch?v=okPl8AZ-ZqA&feature=youtu.be [2] https://odysee.com/@Le_chat:f/D%C3%A9c%C3%A8s-acteur-FINI-UP-720:b Top URLs in Tweet in G2:
[6] https://nextstrain.org/groups/neherlab/ncov/norway?m=div [3] 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 [3] http://ncov.mohw.go.kr/tcmBoardView.do?brdId=3&brdGubun=31&dataGubun=&ncvContSeq=6313&contSeq=6313&board_id=312&gubun=ALL [3] https://sanfrancisco.cbslocal.com/2022/01/13/bay-area-expert-says-a-quarter-of-americans-with-omicron-may-be-asymptomatic/ [3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html [2] https://nextstrain.org/ncov/gisaid/global?c=mutational_fitness [2] https://nextstrain.org/ncov/gisaid/africa [2] https://nextstrain.org/ncov/gisaid/global?dmin=2021-06-13&l=clock [2] https://www.who.int/publications/i/item/WHO-2019-nCoV-vaccines-SAGE_recommendation-BNT162b2-2021.1 [2] https://www.who.int/news-room/feature-stories/detail/who-can-take-the-pfizer-biontech-covid-19--vaccine-what-you-need-to-know Top URLs in Tweet in G3:
[17] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html [12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html [7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html [4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/no-cost.html [3] https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html [3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html [3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html [3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html [3] https://www.cdc.gov/coronavirus/2019-ncov/index.html Top URLs in Tweet in G4:
[520] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [10] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html [4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/shiryouteikyou.html [3] https://corona.go.jp/emergency/ [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220128_shiryoteikyo.pdf [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220126_shiryoteikyo.pdf [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220127_shiryoteikyo.pdf [1] https://twitter.com/ibaraki_kouhou/status/1486638045957062659 [1] https://twitter.com/ibaraki_kouhou/status/1486267936729821185 Top URLs in Tweet in G5:
[10] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html [3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [3] https://www.cov19-vaccine.mhlw.go.jp/qa/0111.html [2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html [2] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10880-covid19-66.html [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html [1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10899-covid19-67.html [1] https://twitter.com/baby_kamex/status/1481478250266525699 [1] https://twitter.com/kimuramoriyo/status/1485926477808140289?s=20 [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html Top URLs in Tweet in G6:
[19] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html [17] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10900-sars-cov-2-b-1-1-530.html [17] https://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/ciutadania/mesures/28-gener/ [12] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html [10] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html [9] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html [9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html [6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html [6] https://nextstrain.org/ncov/gisaid/global [6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html Top URLs in Tweet in G7:
[46] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10942-covid19-70.html [22] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/10941-covid19-69.html [18] https://www.niid.go.jp/niid/ja/2019-ncov/2502-idsc/iasr-in/10933-503c01.html [4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/sesshugaiyo.html#cms31933 [3] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10465-496d04.html [3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/sesshugaiyo.html [3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [3] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/yosei-noko/20201201_01_co19.html [2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [2] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10903-b11529-period.html Top URLs in Tweet in G8:
[148] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [16] https://www.pref.chiba.lg.jp/shippei/press/2019/ncov-index.html [5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/soti52.html [3] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma.html [2] https://pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html [2] https://pref.chiba.lg.jp/shippei/press/2019/ncov-index.html [1] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/tokyocenter-chibaken.html [1] https://www.city.matsudo.chiba.jp/matfd/oshirase/ncov.html [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html Top URLs in Tweet in G9:
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-benefits.html#:~:text=What%20You%20Need%20to%20Know,ages%205%20years%20and%20older [1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en [1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1083401 [1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html [1] https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/racial-ethnic-disparities/disparities-hospitalization.html [1] https://www.cdc.gov/vaccines/acip/meetings/index.html [1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html [1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines.html Top URLs in Tweet in G10:
[95] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status [8] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220125.html#a1-1 [4] https://www.catapoke.com/viewer/?open=62b3f [2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/ [2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220124.html#b [2] https://www.youtube.com/watch?v=iAVytl6I5IU [1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#governor-message [1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/20220125.html [1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/covid19-support-sanhachi.html [1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html Top Domains
Top Word Pairs in Tweet in Entire Graph:
[788] covid,19 [678] nice,visual [678] visual,display [678] display,distant [678] family,everything [676] filtered,nextstrain [676] nextstrain,build [676] build,gives [676] gives,nice [676] distant,omicron Top Word Pairs in Tweet in G1:
[56] vaccination,masse [54] système,immunitaire [53] paolo,puccetti [53] puccetti,vaccination [53] masse,n'a [53] n'a,été [53] été,pertinente [53] pertinente,insister [53] insister,doses [53] doses,peut Top Word Pairs in Tweet in G2:
[655] nice,visual [655] visual,display [655] display,distant [655] family,everything [653] filtered,nextstrain [653] nextstrain,build [653] build,gives [653] gives,nice [653] distant,omicron [653] omicron,family Top Word Pairs in Tweet in G3:
[299] covid,19 [218] #covid19,vaccine [148] side,effects [141] people,#covid19 [141] #covid19,lasting [141] problems,fatigue [141] fatigue,loss [141] loss,smell [141] smell,taste [141] taste,shortness Top Word Pairs in Tweet in G4:
[451] #新型コロナウイルス,感染症情報 [447] ibaraki_kouhou,#新型コロナウイルス [314] 本日の死亡者数,1名 [247] うち重症者数,2名 [247] 詳細は,co [218] 日,まで [188] 感染症情報,1月26日 [188] 1月26日,本日の新規陽性者数 [188] 本日の新規陽性者数,861名 [188] 861名,現在の入院者数 Top Word Pairs in Tweet in G5:
[364] sars,cov [364] 529系統,オミクロン株 [363] cov,2の変異株b [363] 2の変異株b,529系統 [363] オミクロン株,について [362] について,第6報 [360] 第6報,オミクロンの海外での致死率約0 [360] オミクロンの海外での致死率約0,01 [360] 01,季節性インフルエンザの十分の一 [360] 季節性インフルエンザの十分の一,日本は包括的なデータとっていないからわからいちゃわからないけれど Top Word Pairs in Tweet in G6:
[111] covid,19 [35] sars,cov [24] english,website [24] website,updated [24] updated,visit [23] 529系統,オミクロン株 [20] 19,vaccine [16] learn,more [16] contra,covid [14] cov,2の変異株b Top Word Pairs in Tweet in G7:
[84] sars,cov [83] 529系統,オミクロン株 [82] cov,529系統 [72] オミクロン株,感染による新型コロナウイルス感染症の積極的疫学調査 [64] 感染による新型コロナウイルス感染症の積極的疫学調査,第3報 [63] 第3報,新型コロナウイルス無症状病原体保有者におけるウイルス排出期間 [63] 新型コロナウイルス無症状病原体保有者におけるウイルス排出期間,令和4年1月27日 [63] 令和4年1月27日,国立感染症研究所 [60] earl_covid19_tw,sars [43] 一方,ウイルス分離可能な Top Word Pairs in Tweet in G8:
[141] の新型コロナウイルス感染症の情報,新規感染者数 [141] 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 [101] おはようございます,昨日定例記者会見にて県営の集団接種会場の設置を発表しました [101] 昨日定例記者会見にて県営の集団接種会場の設置を発表しました,予約は2月7日正午から [101] 予約は2月7日正午から,接種は15日から開始します [101] 接種は15日から開始します,接種会場は野村不動産グループのご協力を頂き [101] 接種会場は野村不動産グループのご協力を頂き,jr津田沼駅に近接する複合商業施設の [101] jr津田沼駅に近接する複合商業施設の,モリシア津田沼 [100] kumagai_chiba,おはようございます [100] モリシア津田沼,となりま Top Word Pairs in Tweet in G9:
[3] bentdepraved,zypisfy [3] zypisfy,badgervindaloo [3] badgervindaloo,zapher134 [3] zapher134,tk_the_kitsune [3] tk_the_kitsune,ravenlove69 [3] ravenlove69,a_damned_smith [3] a_damned_smith,letmeasq [3] letmeasq,wondersnorbit [2] wondersnorbit,praisehisname50 [2] praisehisname50,wolfpak561 Top Word Pairs in Tweet in G10:
[95] の広島県内の感染状況,本日の感染者はコチラ [95] information,multiple [95] multiple,languages [95] languages,covid [95] covid,19 [91] hiroshima_pref,本日 [62] 本日の感染者はコチラ,co [60] 新型コロナ,知事メッセージ [58] hiroshima_pref,新型コロナ [43] 外出を半分に,特に20時以降は削減 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: