NCoV, Twitter, 9/18/2022 1:22:27 PM, 282032
New User | | | Renew NodeXL |
Get the book
Analyzing Social Media Networks with NodeXL: Insights from a Connected World - 2nd Edition
| |

FAQ | Problem?
Share

NCoV_2022-09-18_02-28-26.xlsx
NCoV_2022-09-18_02-28-26.xlsx
View an interactive version of this graph (experimental)
From:
NodeXLExcelAutomator
Uploaded on:
September 18, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3BpP9qP
@_2019_ncov
@who
@nguyenh81122207
@vonderleyen
@cdcgov
@monitor_ph
@roper_lab
@p_mcculloughmd
@gigaohmresist
@eduengineer

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#covid_19
#longcovid
#coronavirus
#hepatite
#covid
#千葉県庁
#pfizer

Description:
Description
The graph represents a network of 6,308 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 Sunday, 18 September 2022 at 09:41 UTC.

The requested start date was Sunday, 18 September 2022 at 00:01 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 4-day, 19-hour, 20-minute period from Sunday, 11 September 2022 at 17:05 UTC to Friday, 16 September 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


Overall Graph Metrics
Vertices : 6308
Unique Edges : 4078
Edges With Duplicates : 12327
Total Edges : 16405
Number of Edge Types : 5
Retweet : 4444
MentionsInRetweet : 5436
Replies to : 2394
Mentions : 3364
Tweet : 767
Self-Loops : 811
Reciprocated Vertex Pair Ratio : 0.0361357829419637
Reciprocated Edge Ratio : 0.0697510568341945
Connected Components : 486
Single-Vertex Connected Components : 194
Maximum Vertices in a Connected Component : 3038
Maximum Edges in a Connected Component : 9246
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.55515
Graph Density : 0.000214052910380601
Modularity : 0.458074
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,308 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 Sunday, 18 September 2022 at 09:41 UTC.

The requested start date was Sunday, 18 September 2022 at 00:01 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 4-day, 19-hour, 20-minute period from Sunday, 11 September 2022 at 17:05 UTC to Friday, 16 September 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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[856] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[281] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[90] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[81] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[58] https://www.amed.go.jp/news/seika/kenkyu/20210825-02.html
[52] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[51] https://nextstrain.org/ncov/gisaid/global/all-time
[47] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2020/09/covid-19-hvac-systems-in-buildings.pdf?sc_lang=en
[40] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/sick-at-child-care-flowchart.html
[40] https://www.mhlw.go.jp/content/11920000/000989536.pdf

Top URLs in Tweet in G1:
[13] https://twitter.com/strategieduchoc/status/1564101015796092928
[6] https://twitter.com/Vpauline006/status/1567421814854254593?t=F0MigGsgqGvYzUoAH-YENg&s=19
[4] https://twitter.com/verity_france/status/1570093783596802049?s=20&t=kP_XoictVTGFdXkuEVMLmA
[4] https://www.europarl.europa.eu/doceo/document/CRE-9-2022-04-06-INT-3-031-0000_EN.html
[4] https://rumble.com/v1ji1hf-le-terrier-du-lapin-blanc-royal.html
[3] https://twitter.com/_2019_nCoV/status/1569249386676240384?s=20&t=WrBadEtJtlLKyNgMz__HSA
[2] https://www.breizh-info.com/2022/09/11/207718/pourquoi-souverainistes-vont-gagner/
[2] https://formations.emergences.net/login
[2] https://twitter.com/_2019_nCoV/status/1570100310588235776?s=20
[2] https://www.youtube.com/watch?v=EveWWX3fB2M&feature=youtu.be


Top URLs in Tweet in G2:
[549] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[24] https://www.kantei.go.jp/jp/content/nenreikaikyubetsu-vaccination_data.pdf
[6] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[5] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11469-sars-cov-2-20.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/sick-at-child-care-flowchart.html
[3] https://www.mhlw.go.jp/content/11920000/000989536.pdf
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11405-covid19-999.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html?s_cid=11747:covid%20vaccine%20schedule:sem.ga:p:RG:GM:gen:PTN:FY22
[1] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html

Top URLs in Tweet in G3:
[17] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html#when-to-isolate
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[3] https://web.archive.org/web/20210531124807/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/fully-vaccinated-guidance.html

Top URLs in Tweet in G4:
[204] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[57] https://www.amed.go.jp/news/seika/kenkyu/20210825-02.html
[36] https://www.cdc.gov/coronavirus/2019-ncov/community/schools-childcare/sick-at-child-care-flowchart.html
[36] https://www.mhlw.go.jp/content/11920000/000989536.pdf
[8] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11017-covid19-76.html
[7] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/kansenmatome/0912.html
[5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/ruikei.html
[3] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/9714-485p02.html
[1] https://minato.sip21c.org/2019-nCoV-im3r.html#USUALDISTRISNOTOTC

Top URLs in Tweet in G5:
[48] https://nextstrain.org/ncov/gisaid/global/all-time
[46] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2020/09/covid-19-hvac-systems-in-buildings.pdf?sc_lang=en
[22] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2022/04/post-acute-covid-syndrome-pacs.pdf?sc_lang=en
[7] https://publichealthontario.ca/-/media/Documents/nCoV/ipac/2022/04/post-acute-covid-syndrome-pacs.pdf?sc_lang=en
[6] https://apps.who.int/iris/bitstream/handle/10665/362783/WHO-2019-nCoV-Clinical-2022.2-eng.pdf
[6] https://time.com/6211659/long-covid-after-vaccination-booster/
[6] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-022-01453-0
[6] https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Policy_Brief-Vaccination-2022.1
[5] https://www.publichealthontario.ca/-/media/Documents/nCoV/ipac/2020/09/covid-19-hvac-systems-in-buildings.pdf?sc_lang=fr
[5] https://www.who.int/publications/i/item/WHO-2019-nCoV-Policy_Brief-RCCE-2022.1

Top URLs in Tweet in G6:
[7] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[2] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/virus-requests.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/international-travel-during-covid19.html
[1] https://web.archive.org/web/20201217003708/https://www.publichealthontario.ca/-/media/documents/ncov/research/2020/12/synopsis-ioannidis-studies-covid-19-infection-fatality-rates.pdf?la=en
[1] https://twitter.com/GidMK/status/1316511734115385344
[1] https://twitter.com/AdamJKucharski/status/1376134278359171075
[1] https://rapidreviewscovid19.mitpress.mit.edu/pub/p6tto8hl/release/1

Top URLs in Tweet in G7:
[2] https://pgibertie.com/2022/09/11/scandale-en-israel-le-gouvernement-a-decouvert-de-graves-problemes-de-securite-avec-les-injections-covid-et-les-a-dissimules/#pfizergate
[1] https://twitter.com/LaPinkRes/status/1570695548667297792
[1] https://www.lequotidiendupharmacien.fr/exercice-pro/veran-sengage-publier-le-code-de-deontologie-dici-lete
[1] https://publiersonlivre.fr/publier-livre-auto-edition/autoedition-fonctionnaire/
[1] https://twitter.com/ggmesh/status/1569308317784150022
[1] https://twitter.com/Log_Yves/status/1226532444851052546
[1] https://www.stuff.co.nz/national/politics/129854755/covid19-traffic-light-system-masks-scrapped-from-midnight-monday
[1] https://www.cdc.gov/mmwr/volumes/71/wr/pdfs/mm7134a3-H.pdf
[1] https://www.abc.net.au/news/2022-07-28/act-family-of-five-year-old-girl-died-at-canberra-hospital-speak/101276188?utm_campaign=abc_news_web&utm_content=link&utm_medium=content_shared&utm_source=abc_news_web
[1] https://www.porkbusiness.com/news/industry/genvax-technologies-secures-65-million-advance-novel-vaccine-platform?s=09

Top URLs in Tweet in G8:
[44] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[9] https://ncov.se
[5] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[5] https://twitter.com/black_kghp/status/1570045164873482242
[5] https://c11.kr/joao
[5] https://ncv.kdca.go.kr/ncov/
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/omicron.html
[4] https://www.itots.online/

Top URLs in Tweet in G9:
[5] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G10:
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/COVID-WWKSF/2022/03/wwksf-mask-mandates-population-level-outcomes.pdf?sc_lang=en

Top Domains
Top Domains in Tweet in Entire Graph:
[1032] go.jp
[535] cdc.gov
[294] ibaraki.jp
[206] lg.jp
[160] twitter.com
[124] publichealthontario.ca
[86] recombinomics.co
[84] who.int
[65] nextstrain.org
[55] go.kr

Top Domains in Tweet in G1:
[103] twitter.com
[19] youtube.com
[7] rumble.com
[4] crashdebug.fr
[4] europa.eu
[3] odysee.com
[2] pgibertie.com
[2] breizh-info.com
[2] emergences.net
[2] lepoint.fr

Top Domains in Tweet in G2:
[585] go.jp
[8] tokyo.jp
[5] cdc.gov
[3] twitter.com
[1] ne.jp

Top Domains in Tweet in G3:
[86] cdc.gov
[5] twitter.com
[4] archive.org
[2] ymaws.com
[1] agorapulse.com
[1] outlook.com
[1] jaxcareconnect.org
[1] hpcnef.org
[1] medrxiv.org

Top Domains in Tweet in G4:
[308] go.jp
[37] cdc.gov
[12] tokyo.jp
[5] twitter.com
[3] lg.jp
[1] sip21c.org

Top Domains in Tweet in G5:
[93] publichealthontario.ca
[48] nextstrain.org
[38] who.int
[8] nature.com
[6] twitter.com
[6] cdc.gov
[6] time.com
[2] canada.ca
[2] thetyee.ca
[1] gov.au

Top Domains in Tweet in G6:
[8] cdc.gov
[8] publichealthontario.ca
[2] twitter.com
[1] archive.org
[1] mit.edu

Top Domains in Tweet in G7:
[8] twitter.com
[2] pgibertie.com
[1] lequotidiendupharmacien.fr
[1] publiersonlivre.fr
[1] co.nz
[1] cdc.gov
[1] net.au
[1] porkbusiness.com
[1] youtube.com
[1] investmentwatchblog.com

Top Domains in Tweet in G8:
[99] cdc.gov
[86] recombinomics.co
[54] go.jp
[21] who.int
[14] twitter.com
[14] go.kr
[9] ncov.se
[8] ibaraki.jp
[7] co.jp
[6] lg.jp

Top Domains in Tweet in G9:
[5] minsal.cl

Top Domains in Tweet in G10:
[3] publichealthontario.ca

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[624] covid19
[278] 新型コロナウイルス感染症情報
[253] covid_19
[32] longcovid
[31] coronavirus
[23] hepatite
[22] covid
[16] 千葉県庁
[14] pfizer
[14] 練馬区



Top Hashtags in Tweet in G1:
[12] covid_19
[7] ukraine
[7] bhl
[6] soutienperronne
[5] pfizer
[5] ursulavonderleyeninjail
[5] stoptotalitarisme
[4] otan
[4] poutine
[4] france

Top Hashtags in Tweet in G2:
[6] オミクロン株対応ワクチン接種
[1] 練馬区コロナ関連情報

Top Hashtags in Tweet in G3:
[466] covid19
[18] covid
[4] covidー19
[4] vaccines
[3] houstonhealth
[3] jaxcareconnect
[3] backtoschool
[2] booster
[2] vaccine
[2] health

Top Hashtags in Tweet in G4:
[7] 練馬区
[7] 新型コロナウイルス

Top Hashtags in Tweet in G5:
[36] covid19
[22] longcovid
[7] slpeeps
[6] vaccination
[5] infection
[4] testing
[2] longcovidkids
[2] safelunch
[1] rehabilitation
[1] ipc

Top Hashtags in Tweet in G7:
[7] pfizer
[7] ue
[1] covid19
[1] vaccin
[1] effetssecondaires
[1] veran

Top Hashtags in Tweet in G8:
[31] covid19
[11] coronavirus
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[4] cdc
[4] 공공데이터
[4] medicaldata
[4] publicdata
[4] 의료공공

Top Hashtags in Tweet in G9:
[240] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[2005] _2019_ncov
[792] covid
[699] 19
[624] #covid19
[606] booster
[489] updated
[482] casos
[445] co
[428] cdc
[412] cdcgov

Top Words in Tweet in G1:
[1848] _2019_ncov
[306] c'est
[252] ce
[195] plus
[183] ça
[174] mais
[167] ils
[150] sont
[134] fait
[130] tout

Top Words in Tweet in G2:
[289] 国立感染症研究所より
[289] 新型コロナで亡くなった20歳未満についての調査が報告されています
[289] 2022年1月1日から8月31日に発症もしくは入院した症例
[289] 明らかに内因性死亡と考えられた29例のうち
[289] 年齢別でいうと5
[289] 11歳が41
[289] を占め最多
[288] niigata_u_ped
[244] mikito_777
[244] 本当に残念ながら

Top Words in Tweet in G3:
[547] booster
[466] #covid19
[406] cdcgov
[378] updated
[243] provide
[208] help
[179] protection
[164] vaccination
[154] broader
[152] both

Top Words in Tweet in G4:
[188] 日本国内の子供のコロナ死亡のうち29例の調査
[188] 基礎疾患なしの方が多い
[188] 発症から0
[188] 2日で死亡が30
[188] 73
[188] が6日以内に亡くなっており
[188] 急変が伺えます
[188] これだけ発症から早いのは本当に怖いですね
[187] triangle24
[163] gt

Top Words in Tweet in G5:
[96] covid
[88] 19
[53] data
[51] nextstrain
[51] publichealthon
[50] direct
[50] tryangregory
[49] resource
[48] track
[47] hvac

Top Words in Tweet in G6:
[4] test
[3] rstrixxx
[3] asinister
[3] veritatem2021
[3] ejwwest
[3] usna_73
[3] albowers1
[3] toadmeister
[2] faktantarkast10
[2] randomration

Top Words in Tweet in G7:
[128] julienm__
[104] ont
[102] covid
[102] chez
[101] 19
[99] dernier
[99] été
[98] rapport
[97] cdc
[97] montre

Top Words in Tweet in G8:
[184] covid
[108] ncov
[97] 2019
[94] cases
[92] deaths
[90] 19
[87] increase
[86] recombinomics
[86] inc
[39] cdc

Top Words in Tweet in G9:
[480] casos
[240] informe
[240] diario
[240] #covid_19
[240] septiembre
[240] nuevos
[240] activos
[240] fallecidos
[240] registrados
[235] ministeriosalud

Top Words in Tweet in G10:
[120] clarecraigpath
[113] easy
[113] lose
[113] sight
[113] myocarditis
[113] risk
[113] present
[113] age
[113] being
[113] distracted

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[529] covid,19
[327] #covid19,booster
[299] 国立感染症研究所より,新型コロナで亡くなった20歳未満についての調査が報告されています
[299] 新型コロナで亡くなった20歳未満についての調査が報告されています,2022年1月1日から8月31日に発症もしくは入院した症例
[299] 2022年1月1日から8月31日に発症もしくは入院した症例,明らかに内因性死亡と考えられた29例のうち
[299] 明らかに内因性死亡と考えられた29例のうち,年齢別でいうと5
[299] 年齢別でいうと5,11歳が41
[299] 11歳が41,を占め最多
[298] niigata_u_ped,国立感染症研究所より
[278] 詳細,co

Top Word Pairs in Tweet in G1:
[46] chesnay78,_2019_ncov
[41] _2019_ncov,bfmtv
[40] _2019_ncov,c'est
[40] _2019_ncov,laurence0684
[39] ah,ah
[38] _2019_ncov,epsilone44
[31] ils,ont
[31] immortellexiii,_2019_ncov
[30] ils,sont
[30] tidiane84101146,_2019_ncov

Top Word Pairs in Tweet in G2:
[289] 国立感染症研究所より,新型コロナで亡くなった20歳未満についての調査が報告されています
[289] 新型コロナで亡くなった20歳未満についての調査が報告されています,2022年1月1日から8月31日に発症もしくは入院した症例
[289] 2022年1月1日から8月31日に発症もしくは入院した症例,明らかに内因性死亡と考えられた29例のうち
[289] 明らかに内因性死亡と考えられた29例のうち,年齢別でいうと5
[289] 年齢別でいうと5,11歳が41
[289] 11歳が41,を占め最多
[288] niigata_u_ped,国立感染症研究所より
[244] 本当に残念ながら,小児ワクチン接種対象の5
[244] 小児ワクチン接種対象の5,11歳の子供で12名がすでにcovidで命を落としています
[244] 11歳の子供で12名がすでにcovidで命を落としています,その全員がワクチン未接種でした

Top Word Pairs in Tweet in G3:
[322] #covid19,booster
[263] updated,#covid19
[153] provide,broader
[150] cdcgov,updated
[149] booster,both
[149] both,help
[149] help,restore
[149] restore,protection
[149] protection,waned
[149] waned,previous

Top Word Pairs in Tweet in G4:
[188] 日本国内の子供のコロナ死亡のうち29例の調査,基礎疾患なしの方が多い
[188] 基礎疾患なしの方が多い,発症から0
[188] 発症から0,2日で死亡が30
[188] 2日で死亡が30,73
[188] 73,が6日以内に亡くなっており
[188] が6日以内に亡くなっており,急変が伺えます
[188] 急変が伺えます,これだけ発症から早いのは本当に怖いですね
[187] triangle24,日本国内の子供のコロナ死亡のうち29例の調査
[103] 新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査,第一報
[103] 第一報,2022年8月31日現在

Top Word Pairs in Tweet in G5:
[88] covid,19
[46] open,data
[46] data,resources
[46] resources,nextstrain
[46] nextstrain,resource
[46] resource,lets
[46] lets,track
[45] tryangregory,open
[45] track,evolutio
[39] good,update

Top Word Pairs in Tweet in G6:
[2] robhon_,3ghtweets
[2] 3ghtweets,jimbowersclimb
[2] jimbowersclimb,ibergwiesel
[2] ibergwiesel,priscian
[2] priscian,sueytonius
[2] sueytonius,devonian1342
[2] devonian1342,cdmarshall7
[2] cdmarshall7,tamikamrobson
[2] tamikamrobson,martinjbern
[2] martinjbern,michael_d_crow

Top Word Pairs in Tweet in G7:
[101] covid,19
[97] dernier,rapport
[97] rapport,cdc
[97] cdc,montre
[97] montre,72
[97] 72,hospitalisations
[97] hospitalisations,associées
[97] associées,covid
[97] 19,chez
[97] chez,adultes

Top Word Pairs in Tweet in G8:
[96] 2019,ncov
[86] cases,increase
[86] ncov,recombinomics
[86] recombinomics,inc
[82] covid,cases
[75] covid,19
[26] learn,more
[18] döda,har
[18] har,tillfrisknat
[17] 新型コロナウイルス感染後の20歳未満の死亡例に関する積極的疫学調査,第一報

Top Word Pairs in Tweet in G9:
[240] informe,diario
[240] diario,#covid_19
[240] casos,nuevos
[240] casos,activos
[240] fallecidos,registrados
[235] ministeriosalud,informe
[105] nuevos,14
[74] #covid_19,12
[74] 12,septiembre
[74] septiembre,637

Top Word Pairs in Tweet in G10:
[113] easy,lose
[113] lose,sight
[113] sight,myocarditis
[113] myocarditis,risk
[113] risk,present
[113] present,age
[113] age,being
[113] being,distracted
[113] distracted,charts
[113] charts,rates

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@immortellexiii
@freireiker1
@lrestistant73
@julienm__
@blhot2
@222166464563m
@orangemecanix
@uvieile
@demongornot

Top Replied-To in G1:
@_2019_ncov
@immortellexiii
@freireiker1
@lrestistant73
@blhot2
@222166464563m
@orangemecanix
@tenezduchocolat
@uvieile
@demongornot

Top Replied-To in G2:
@fuuto2dan
@slyaction
@mph_for_doctors
@handball_goalie

Top Replied-To in G3:
@cdcgov
@davidzweig
@fredbidwell
@wsbgnl
@cyfi10
@beverly28056984
@robotistry
@ajkaywriter
@msblairewhite
@massbless

Top Replied-To in G5:
@who
@bigbaddenis
@dfisman
@rougematisse
@markcaton19
@publichealthon
@bobbie_cal
@leonline007
@florencevsmyth
@greaves_park

Top Replied-To in G6:
@rstrixxx
@jimborette
@jlpjlp2k
@lazarus31567902
@goodgolly247
@diar380
@patronbb74
@man_friday_man
@tdillon06
@albowers1

Top Replied-To in G7:
@_2019_ncov
@julienm__
@yannickcharle14
@louan07
@upr_asselineau
@vaillant281
@juliem29200
@acquaronejean
@jeanrobinmedia
@f_philippot

Top Replied-To in G10:
@ihorace

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@cdcgov
@niigata_u_ped
@ibaraki_kouhou
@mikito_777
@ministeriosalud
@mph_for_doctors
@earl_covid19_tw
@triangle24
@julienm__

Top Mentioned in G1:
@_2019_ncov
@bfmtv
@lrestistant73
@chesnay78
@laurence0684
@strategieduchoc
@epsilone44
@immortellexiii
@olivierveran
@tidiane84101146

Top Mentioned in G2:
@niigata_u_ped
@mikito_777
@earl_covid19_tw
@mph_for_doctors
@sukunabikona7
@jaidsenmoni
@black_kghp
@triangle24
@tm_quencher
@dadshonan

Top Mentioned in G3:
@cdcgov
@hhsgov
@statehealthin
@houstonhealth
@wsbgnl
@repthomasmassie
@robotistry
@idph
@sos_jr
@snhdinfo

Top Mentioned in G4:
@triangle24
@c45425
@makomelo
@morilyn1123
@vogelsang7
@kabukabubaby
@niigata_u_ped
@sukunabikona7
@vicke_2011
@dadshonan

Top Mentioned in G5:
@who
@publichealthon
@tryangregory
@davidelfstrom
@mamatoronto
@dfisman
@ragesheen
@covidliveau
@healthgovau
@mike_honey_

Top Mentioned in G6:
@asinister
@veritatem2021
@ejwwest
@usna_73
@toadmeister
@faktantarkast10
@randomration
@jimdtweet
@robhon_
@3ghtweets

Top Mentioned in G7:
@julienm__
@_2019_ncov
@tatiann69922625
@louan07
@fitzlemonade1
@caudehenrion
@rasekra
@giberpa
@assocovid
@gabinjean3

Top Mentioned in G8:
@mama_melaleuca
@rxrega

Top Mentioned in G9:
@ministeriosalud

Top Mentioned in G10:
@clarecraigpath
@buttahbelieve
@billius27

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@wkwkrnht
@ecodaren
@mtokj307
@matiere
@yrw2
@roblwilson
@british_airways
@akane_kawahata
@juners

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@botliberalisme
@madrynha2012
@bfmtv
@sylvita30
@yvespdb
@le_parisien
@talullabellefle
@barberis888

Top Tweeters in G2:
@yrw2
@akane_kawahata
@juners
@ayumix45
@sino_p928
@madfall1213
@yastomohalumisa
@yymods
@fusasippona
@singulith

Top Tweeters in G3:
@thepoliticalcat
@adekleine
@tyberzannxxxx
@youranonriots
@sandykalano
@markplackett1
@bad_woof
@rleas
@1jasliz
@snarky_op

Top Tweeters in G4:
@wkwkrnht
@serioustom1
@sosorasora3
@chiemma44
@necobone
@mekara_uroko
@uchida_kawasaki
@fearless_taisho
@soramiffy
@okugee

Top Tweeters in G5:
@roblwilson
@asher_wolf
@avonan
@pppatticake
@protectingterra
@njmike731
@jrehnj
@joejaggi
@monitor_ph
@freespeechlover

Top Tweeters in G6:
@rospay15
@bbcnews
@adevotedyogi
@tmzedg
@doritmi
@friendsoscience
@monstercoyliar
@unity_coach
@mcfunny
@veritatem2021

Top Tweeters in G7:
@m2bliquis
@delalande72
@baboune04
@g0rille
@jeanclaudepeyra
@lilicarmen78163
@debrouille92
@leothelast07
@mydaphne
@saraart4

Top Tweeters in G8:
@matiere
@socolimeshot
@personalfitnes3
@bokura
@haolethai
@didaclopez
@paulinaastrozas
@zu2
@ironorehopper
@isozakiai

Top Tweeters in G9:
@trigorosa
@dragontauro
@infozeus
@alegriagonzaa
@gonzaloxrojas
@mgarcia318
@chidalgo
@lelelx
@gabisilandia
@pablolabarcac

Top Tweeters in G10:
@petermcc66
@colinjarrett587
@12fv123
@lyndacsmith
@leonine35
@darrenbellreads
@johnsonkarol
@tymesnow
@solarcoinnews
@supermikhail1


Tags:
Connected Action Your Link to Social Network Insights
About NodeXL Get NodeXL Pro Get NodeXL Basic (Free!) Renew NodeXL Pro Upload Your NodeXL Graphs Contact Us

We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.

Accept Reject