NCoV, Twitter, 2/3/2023 10:23:00 AM, 288434


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NCoV_2023-02-03_02-08-55.xlsx
NCoV_2023-02-03_02-08-55.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 03, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3HoeODm
@georgebest1969
@cdcgov
@sakamotofumie
@za_yi
@elonmusk
@_2019_ncov
@himbeergeld
@pfizer
@iancopeland5
@johnny___apple

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#mironews
#코로나19
#예방접종
#kine404sp23
#sarscov2
#練馬区

Description:
Description
The graph represents a network of 5,622 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 1115-day, 13-hour, 36-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Friday, 03 February 2023 at 00:54 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

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 : 5622
Unique Edges : 3195
Edges With Duplicates : 10824
Total Edges : 14019
Number of Edge Types : 9
Retweet : 3671
MentionsInRetweet : 4294
MentionsInReplyTo : 3684
Replies to : 1361
Tweet : 586
MentionsInQuote : 88
Mentions : 183
Quote : 92
MentionsInQuoteReply : 60
Self-Loops : 933
Reciprocated Vertex Pair Ratio : 0.0360780984719864
Reciprocated Edge Ratio : 0.0696435886931585
Connected Components : 489
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 3753
Maximum Edges in a Connected Component : 9995
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.982121
Graph Density : 0.000231731251745579
Modularity : 0.496536
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,622 Twitter users whose recent tweets contained "NCoV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 10:13 UTC.

The tweets in the network were tweeted over the 1115-day, 13-hour, 36-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Friday, 03 February 2023 at 00:54 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1644] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[272] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[73] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[65] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[57] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[54] https://link.naver.com/bridge?url=https%3A%2F%2Faccounts.google.com%2FServiceLogin%3Fpassive%3D1209600%26continue%3Dhttps%3A%2F%2Fpolicies.google.com%2Fprivacy%26followup%3Dhttps%3A%2F%2Fpolicies.google.com%2Fprivacy%26ec%3DGAZAoQQ&dst=naversearchapp%3A%2F%2Finappbrowser%3Furl%3Dhttps%253A%252F%252Faccounts.google.com%252FServiceLogin%253Fpassive%253D1209600%2526continue%253Dhttps%253A%252F%252Fpolicies.google.com%252Fprivacy%2526followup%253Dhttps%253A%252F%252Fpolicies.google.com%252Fprivacy%2526ec%253DGAZAoQQ%26version%3D10%26sourceReferer%3Dshare
[54] https://link.naver.com/bridge?url=https%3A%2F%2Fwww.naver.com%2F%3Fmobile&dst=naversearchapp%3A%2F%2Finappbrowser%3Furl%3Dhttps%253A%252F%252Fwww.naver.com%252F%253Fmobile%26version%3D10%26sourceReferer%3Dshare
[54] https://link.naver.com/bridge?url=https%3A%2F%2Fwww.un.org%2F&dst=naversearchapp%3A%2F%2Finappbrowser%3Furl%3Dhttps%253A%252F%252Fwww.un.org%252F%26version%3D10%26sourceReferer%3Dshare
[54] https://link.naver.com/bridge?url=https%3A%2F%2Fm.keep.naver.com%2F&dst=naversearchapp%3A%2F%2Finappbrowser%3Furl%3Dhttps%253A%252F%252Fm.keep.naver.com%252F%26version%3D10%26sourceReferer%3Dshare
[54] https://www.youtube.com/@cjk78ui

Top URLs in Tweet in G1:
[1304] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[1] https://twitter.com/ham_ishigakki/status/1619306972612034565
[1] https://twitter.com/ham_ishigakki/status/1619306972612034565/photo/1
[1] https://www.niid.go.jp/niid/en/2019-ncov-e/10884-covid19-66-en.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[1] https://twitter.com/udu0hi/status/1619721843212169216

Top URLs in Tweet in G2:
[7] http://web.archive.org/web/20220722133644/https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[7] https://pubmed.ncbi.nlm.nih.gov/36647776/
[6] https://twitter.com/tatiann69922625/status/1616494045391425553/photo/1
[2] https://pgibertie.com/2023/01/31/quels-sont-les-vrais-buts-de-guerre-defendre-lukraine-ou-faire-eclater-la-russie-et-meme-la-chine-ces-theses-determinantes-pour-notre-avenir-que-vous-devez-connaitre/
[2] https://twitter.com/guillaume46/status/1620715044534353922/photo/1
[2] https://twitter.com/Catheri86517517/status/1616830043635830791/photo/1
[2] https://twitter.com/Sbastie15481321/status/1620032240188276736/photo/1
[2] https://twitter.com/ambre_chanal/status/1536824935674413059/photo/1
[2] https://twitter.com/WarClandestine/status/1619886316371726341/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html#:~:text=When%20someone%20who%20is%20vaccinated,a%20%E2%80%9Cvaccine%20breakthrough%20infection.%E2%80%9D

Top URLs in Tweet in G3:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/monitoring.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://twitter.com/_ppmv/status/1620756174839881733/photo/1
[4] https://twitter.com/1goodtern/status/1619241851319635969/photo/1
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[3] https://twitter.com/robertbenda/status/1620405370169737216/photo/1

Top URLs in Tweet in G4:
[311] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11118-covid19-79.html
[1] https://twitter.com/SakamotoFumie/status/1619678998950481920/photo/1
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/
[1] https://www.pref.hiroshima.lg.jp/uploaded/attachment/517084.pdf
[1] https://www.chugoku-np.co.jp/articles/-/265520
[1] https://newsdig.tbs.co.jp/articles/rcc/303937?display=1
[1] https://onlinelibrary.wiley.com/doi/10.1111/irv.13094#.Y9t5FRZfNt0.twitter
[1] https://mainichi.jp/premier/health/articles/20220730/med/00m/100/001000c
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html

Top URLs in Tweet in G5:
[12] https://c11.kr/196gt
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://ncv.kdca.go.kr/ncov/
[6] https://ncv.kdca.go.kr/ncov
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://twitter.com/blurmyu/status/1619627894942347265/photo/1
[4] https://twitter.com/blurmyu/status/1620736560261120002/photo/1
[4] https://twitter.com/blurmyu/status/1621079981144293376/photo/1

Top URLs in Tweet in G6:
[3] https://twitter.com/Scary7Dr/status/1620854747757707265/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://twitter.com/dann58638436/status/1620899988195934208/photo/1
[1] https://twitter.com/dann58638436/status/1621107168241139712/photo/1
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] http://www.toronto.ca/home/covid-19/covid-19-reduce-virus-spread/
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200130-sitrep-10-ncov.pdf
[1] https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2800816
[1] https://twitter.com/celinegounder/status/1620177786563608587/photo/1

Top URLs in Tweet in G7:
[2] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230127.pdf
[1] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/home.htm
[1] https://twitter.com/ChGefaell/status/1619453025772531713/photo/1
[1] https://twitter.com/ChGefaell/status/1619399903238848513
[1] https://www.ncbi.nlm.nih.gov/books/NBK568664/
[1] https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Manejo_cadaveres_COVID-19.pdf&ved=2ahUKEwjHgZ2dtu_8AhVRSfEDHejuCb4QFnoECBoQAQ&usg=AOvVaw1V717RXfB3yda5jyBU53MJ

Top URLs in Tweet in G8:
[21] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[13] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[1] https://twitter.com/orientis312/status/1619721135565983744/photo/1
[1] https://www.pref.hiroshima.lg.jp/site/2019-ncov/omicron.html#kansenjyoukyou
[1] https://twitter.com/morilyn1123/status/1620613712477581312/photo/1

Top URLs in Tweet in G9:
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[2] https://www.umassmed.edu/news/news-archives/2020/12/inside-the-new-mrna-vaccines-for-covid-19/
[2] https://twitter.com/DC_Draino/status/1619361224332021761/photo/1
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://twitter.com/sotacita/status/1619765058883719170/photo/1
[1] https://twitter.com/optikmike/status/1620064455538409472/photo/1
[1] https://twitter.com/optikmike/status/1620068144319705089/photo/1
[1] https://twitter.com/WayneAllanH/status/1620199684596994048/photo/1

Top URLs in Tweet in G10:
[2] https://twitter.com/carol_perelman/status/1619405445445337089/photo/1
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-clinical-2023.1

Top Domains
Top Domains in Tweet in Entire Graph:
[2374] cdc.gov
[725] twitter.com
[325] naver.com
[290] ibaraki.jp
[179] lg.jp
[64] youtube.com
[54] recombinomics.co
[50] go.kr
[48] go.jp
[47] who.int

Top Domains in Tweet in G1:
[1304] cdc.gov
[3] twitter.com
[2] go.jp

Top Domains in Tweet in G2:
[69] twitter.com
[11] nih.gov
[7] archive.org
[4] pgibertie.com
[4] youtube.com
[3] cdc.gov
[1] torontosun.com
[1] ripostelaique.com
[1] limpertinentmedia.com
[1] actuintel.com

Top Domains in Tweet in G3:
[50] cdc.gov
[37] twitter.com
[1] biorxiv.org
[1] usatoday.com

Top Domains in Tweet in G4:
[311] cdc.gov
[4] go.jp
[2] lg.jp
[2] co.jp
[1] twitter.com
[1] wiley.com
[1] mainichi.jp

Top Domains in Tweet in G5:
[90] cdc.gov
[68] twitter.com
[54] recombinomics.co
[19] go.kr
[18] bvsalud.org
[13] documentsdelivered.com
[12] c11.kr
[11] ibaraki.jp
[9] co.jp
[9] go.jp

Top Domains in Tweet in G6:
[9] cdc.gov
[7] twitter.com
[1] publichealthontario.ca
[1] toronto.ca
[1] who.int
[1] jamanetwork.com
[1] chinacdc.cn
[1] nih.gov

Top Domains in Tweet in G7:
[3] gob.es
[2] twitter.com
[1] nih.gov
[1] google.com

Top Domains in Tweet in G8:
[42] cdc.gov
[5] go.jp
[2] twitter.com
[1] lg.jp

Top Domains in Tweet in G9:
[11] cdc.gov
[6] twitter.com
[2] umassmed.edu
[1] publichealthontario.ca
[1] vaersanalysis.info
[1] nih.gov

Top Domains in Tweet in G10:
[2] twitter.com
[1] who.int

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[266] 新型コロナウイルス感染症情報
[196] covid_19
[185] covid19
[126] mironews
[19] 코로나19
[19] 예방접종
[16] kine404sp23
[11] sarscov2
[11] 練馬区
[10] coronavirus



Top Hashtags in Tweet in G2:
[3] covid_19
[2] russiaiscollapsing
[1] pfizer
[1] macron
[1] mariupol
[1] afp
[1] rsa
[1] obama
[1] biolabs
[1] rothschild

Top Hashtags in Tweet in G3:
[127] covid19
[2] healthiernj
[2] icymi
[1] courageousdiscourse
[1] dyk
[1] gettestednj
[1] internationaltravel

Top Hashtags in Tweet in G4:
[1] covid19

Top Hashtags in Tweet in G5:
[18] covid19
[6] 안전안내
[6] 의정부시청
[6] 안전안내문자
[6] 재난문자
[5] sarscov2
[4] coronavirus
[3] cdc
[3] flu
[2] vaccines

Top Hashtags in Tweet in G6:
[1] covid19
[1] flu

Top Hashtags in Tweet in G7:
[125] mironews

Top Hashtags in Tweet in G9:
[1] crimesagainsthumanity

Top Words
Top Words in Tweet in Entire Graph:
[1354] georgebest1969
[1352] 人々がその推奨通りに行動するかどうかが
[1352] 日本とは違うだけで
[1352] 日本の政治家も官僚も勘違いが甚だしい
[1352] 今でも海外でも条件付でマスク着用は推奨され続けてます
[1352] 別に世界は笑わんぞ
[1015] covid
[567] 19
[435] co
[388] casos

Top Words in Tweet in G1:
[1304] 日本の政治家も官僚も勘違いが甚だしい
[1304] 人々がその推奨通りに行動するかどうかが
[1304] georgebest1969
[1304] 今でも海外でも条件付でマスク着用は推奨され続けてます
[1304] 日本とは違うだけで
[1304] 別に世界は笑わんぞ

Top Words in Tweet in G2:
[343] _2019_ncov
[70] ce
[63] c'est
[49] plus
[39] mais
[37] ça
[36] par
[36] fait
[33] comme
[32] ils

Top Words in Tweet in G3:
[269] cdcgov
[153] covid
[143] 19
[127] #covid19
[107] hospitalization
[103] month
[95] alexander_tin
[91] predicting
[90] over
[89] hospitalizations

Top Words in Tweet in G4:
[274] 米cdcのホームページに
[274] 例えば
[274] checkというサイトがありまして
[274] 地域ごとのコロナの流行状況に基づいて推奨される感染対策を調べることができるcounty
[273] sakamotofumie
[37] 日本の政治家も官僚も勘違いが甚だしい
[37] georgebest1969
[37] 人々がその推奨通りに行動するかどうかが
[37] 今でも海外でも条件付でマスク着用は推奨され続けてます
[37] 日本とは違うだけで

Top Words in Tweet in G5:
[167] covid
[101] 19
[99] 2019
[98] ncov
[65] cases
[55] increase
[55] deaths
[54] inc
[54] recombinomics
[25] cdc

Top Words in Tweet in G6:
[11] mcfunny
[10] monstercoyliar
[10] skepticalmutant
[10] doritmi
[9] provaxtexan
[8] andrewlazarus4
[8] tonybaduy
[8] swedishchf
[7] more
[6] ogilville1

Top Words in Tweet in G7:
[272] 60
[125] 4ª
[125] vacunación
[125] #mironews
[125] dosis
[125] mayores
[125] datos
[125] menores
[125] españa
[125] campaña

Top Words in Tweet in G8:
[84] 20歳未満62人が死亡し
[84] 感染研の報告によれば
[84] 死亡に至る経緯は呼吸器系症状ではなく中枢神経系と循環器系の異常が多い
[84] その6割弱が基礎疾患なしという
[84] 第8波におけるこの年代の死亡も是非報告してほしい
[84] 第6から7波までのデータだが
[83] orientis312
[21] 入院中や施設入所の方もずっとマスクはしてないでしょうし
[21] 家庭が半分で
[21] 職場もどういう場面だったのか

Top Words in Tweet in G9:
[21] unhealthytruth
[13] trumpbangskids
[12] inugamiz
[12] coloradocrest
[12] colelcollinss
[12] nowhereman_sj
[12] evolvingmamma
[11] nancy
[11] omg
[11] sotacita

Top Words in Tweet in G10:
[121] guía
[121] clínica
[121] infectadas
[121] covid
[121] recomiendan
[121] oms
[121] publicó
[121] personas
[121] actualización
[121] pacientes

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1352] 別に世界は笑わんぞ,今でも海外でも条件付でマスク着用は推奨され続けてます
[1352] 日本とは違うだけで,日本の政治家も官僚も勘違いが甚だしい
[1352] 人々がその推奨通りに行動するかどうかが,日本とは違うだけで
[1352] 今でも海外でも条件付でマスク着用は推奨され続けてます,人々がその推奨通りに行動するかどうかが
[1351] georgebest1969,別に世界は笑わんぞ
[493] covid,19
[280] 地域ごとのコロナの流行状況に基づいて推奨される感染対策を調べることができるcounty,checkというサイトがありまして
[280] checkというサイトがありまして,例えば
[280] 米cdcのホームページに,地域ごとのコロナの流行状況に基づいて推奨される感染対策を調べることができるcounty
[279] sakamotofumie,米cdcのホームページに

Top Word Pairs in Tweet in G1:
[1304] 日本とは違うだけで,日本の政治家も官僚も勘違いが甚だしい
[1304] 今でも海外でも条件付でマスク着用は推奨され続けてます,人々がその推奨通りに行動するかどうかが
[1304] 人々がその推奨通りに行動するかどうかが,日本とは違うだけで
[1304] 別に世界は笑わんぞ,今でも海外でも条件付でマスク着用は推奨され続けてます
[1303] georgebest1969,別に世界は笑わんぞ

Top Word Pairs in Tweet in G2:
[15] peut,être
[13] ce,peut
[13] romain260910,_2019_ncov
[13] verity_france,fart47404663
[12] j'en,ai
[12] l'une,plus
[12] plus,belles
[12] _2019_ncov,_brindacier
[12] paternité,j'en
[12] narashi13876794,jaimehorta17

Top Word Pairs in Tweet in G3:
[143] covid,19
[89] hospitalizations,decrease
[89] decrease,over
[88] predicting,covid
[88] coming,month
[88] longer,predicting
[88] over,coming
[88] cdcgov,longer
[88] 19,hospitalizations
[87] month,remai

Top Word Pairs in Tweet in G4:
[274] 地域ごとのコロナの流行状況に基づいて推奨される感染対策を調べることができるcounty,checkというサイトがありまして
[274] 米cdcのホームページに,地域ごとのコロナの流行状況に基づいて推奨される感染対策を調べることができるcounty
[274] checkというサイトがありまして,例えば
[273] sakamotofumie,米cdcのホームページに
[37] 日本とは違うだけで,日本の政治家も官僚も勘違いが甚だしい
[37] 人々がその推奨通りに行動するかどうかが,日本とは違うだけで
[37] 別に世界は笑わんぞ,今でも海外でも条件付でマスク着用は推奨され続けてます
[37] 今でも海外でも条件付でマスク着用は推奨され続けてます,人々がその推奨通りに行動するかどうかが
[37] georgebest1969,別に世界は笑わんぞ
[3] 調査結果の概要については,公衆衛生報告として公開されています

Top Word Pairs in Tweet in G5:
[96] covid,19
[90] 2019,ncov
[54] cases,increase
[54] recombinomics,inc
[54] ncov,recombinomics
[53] covid,cases
[15] coronavirus,2019
[15] novel,coronavirus
[12] 발생,홈페이지
[12] 2023,01

Top Word Pairs in Tweet in G6:
[5] document,50
[5] following,vaccination
[5] january,15
[5] topublichealth,january
[5] 2023,ontario
[5] 50,cases
[5] cases,paralysis
[5] 15,2023
[5] paralysis,following
[5] ontario,document

Top Word Pairs in Tweet in G7:
[125] oficiales,campaña
[125] 4ª,dosis
[125] dosis,mayores
[125] campaña,vacunación
[125] mayores,60
[125] datos,oficiales
[125] menores,60
[125] 60,patologías
[125] vacunación,4ª
[125] #mironews,españa

Top Word Pairs in Tweet in G8:
[84] 20歳未満62人が死亡し,その6割弱が基礎疾患なしという
[84] 感染研の報告によれば,第6から7波までのデータだが
[84] 死亡に至る経緯は呼吸器系症状ではなく中枢神経系と循環器系の異常が多い,第8波におけるこの年代の死亡も是非報告してほしい
[84] 第6から7波までのデータだが,20歳未満62人が死亡し
[84] その6割弱が基礎疾患なしという,死亡に至る経緯は呼吸器系症状ではなく中枢神経系と循環器系の異常が多い
[83] orientis312,感染研の報告によれば
[21] 施設など,やっぱりノーマスク時の感染が基本では
[21] 飲食,施設など
[21] 家庭が半分で,飲食
[21] 1日中は無理,学校

Top Word Pairs in Tweet in G9:
[12] evolvingmamma,unhealthytruth
[12] inugamiz,nowhereman_sj
[12] colelcollinss,coloradocrest
[12] unhealthytruth,inugamiz
[12] coloradocrest,evolvingmamma
[11] omg,nancy
[11] nowhereman_sj,omg
[11] trumpbangskids,colelcollinss
[10] sotacita,trumpbangskids
[4] set,protein

Top Word Pairs in Tweet in G10:
[121] oms,publicó
[121] personas,infectadas
[121] publicó,actualización
[121] manejo,pacientes
[121] pacientes,covid
[121] guía,clínica
[121] clínica,manejo
[121] recomiendan,personas
[121] actualización,guía
[121] covid,recomiendan

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@drdevanromero
@romain260910
@nutsteph
@nathanmackbrown
@healthbyjames
@draseemmalhotra
@oscar01041954
@eb_charlie
@nvesuve

Top Replied-To in G1:
@georgebest1969

Top Replied-To in G2:
@_2019_ncov
@romain260910
@nutsteph
@oscar01041954
@eb_charlie
@nvesuve
@jrmesari1
@lacolitruche
@nicolas20048332
@aresmanstein

Top Replied-To in G3:
@draseemmalhotra
@__desolationrow
@alexander_tin
@doctor_eric_b
@jim12424626
@dimitriosgakis
@dannyteri
@musicundertaker
@vigilantfox
@covid_vax_

Top Replied-To in G4:
@maimanma1

Top Replied-To in G6:
@dann58638436
@tobornin
@celinegounder
@topublichealth
@drdavidmoore11
@skepticalmutant
@jordandoll7
@skepticalprune
@doritmi
@kocuipchyk

Top Replied-To in G7:
@ciervoscomunis1
@hondontown

Top Replied-To in G9:
@dc_draino
@realcory_seale
@optikmike
@trumpbangskids
@colelcollinss
@againstme123456
@shahzebxhussain
@ascensionhelp
@sifu_wai
@jimdtweet

Top Mentioned
Top Mentioned in Entire Graph:
@georgebest1969
@cdcgov
@sakamotofumie
@ibaraki_kouhou
@ministeriosalud
@_2019_ncov
@flmirones
@carol_perelman
@alexander_tin
@hiroshima_pref

Top Mentioned in G1:
@georgebest1969

Top Mentioned in G2:
@_2019_ncov
@fart47404663
@verity_france
@jaimehorta17
@rasekrasek
@narashi13876794
@_brindacier
@louan07
@llp_le_vrai
@docteurpeb1

Top Mentioned in G3:
@cdcgov
@alexander_tin
@draseemmalhotra
@us_fda
@vigilantfox
@naomirwolf
@jljcolorado
@flsurgeongen
@_ppmv
@p_mcculloughmd

Top Mentioned in G4:
@sakamotofumie
@georgebest1969
@motoisuzuki
@cdcgov

Top Mentioned in G5:
@wsjp_insight
@clrcommunity
@consulmextuc
@critica18495985
@somakhand
@pharmacologirls

Top Mentioned in G6:
@mcfunny
@monstercoyliar
@skepticalmutant
@doritmi
@tonybaduy
@andrewlazarus4
@provaxtexan
@swedishchf
@kathmarval
@scottstocker4

Top Mentioned in G7:
@flmirones
@chgefaell
@demogollones
@yodecido20
@jmjmoragas
@balkraix
@escesarvidal
@javiervillamor
@chaknorris93
@aflorrick77

Top Mentioned in G8:
@orientis312
@dadshonan
@morilyn1123
@asadoriq
@georgebest1969
@sakamotofumie
@chifumi_k

Top Mentioned in G9:
@unhealthytruth
@trumpbangskids
@coloradocrest
@evolvingmamma
@inugamiz
@nowhereman_sj
@sotacita
@colelcollinss
@ericareport
@barbarajdurkin

Top Mentioned in G10:
@carol_perelman

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@jurylady5
@ecodaren
@macha_oji
@matiere
@joni_looking
@tem_fsedwxwac
@awasemaru7
@sippomagari
@britpoptarts

Top Tweeters in G1:
@tem_fsedwxwac
@awasemaru7
@sino_p928
@washiro
@lemon1931
@newla
@fusasippona
@yumes16
@dratomo_super
@sobtomk

Top Tweeters in G2:
@katiaontheearth
@yvespdb
@sarah41659531
@thierryrouby
@gerardfiloche
@jakopasto1
@mydaphne
@babibelle33
@libredepenserfr
@nova153

Top Tweeters in G3:
@britpoptarts
@lizditz
@tyberzannxxxx
@inforenique
@godessofchaos71
@kane007
@colleenmmck618
@joejaggi
@monitor_ph
@maelysdervenn

Top Tweeters in G4:
@otakutokkai
@andy_sv650s
@sleep_sheep2010
@5910mikiya
@ohtsune2nd
@nana_hanl
@ikotto
@rijin_nakamura
@aloeclogue
@soya_moon

Top Tweeters in G5:
@matiere
@personalfitnes3
@missourigirl62
@gate_15_analyst
@wsjp_insight
@fujikurok
@yu2kama
@asynchronize
@namaknee
@k_disastermsg

Top Tweeters in G6:
@doritmi
@_mamadeb
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@wjack76995
@frankdelia7
@angryfleas
@nockit1

Top Tweeters in G7:
@dcolorruth
@rociogrande1
@acuervomont
@jorgemcr200491
@arroyotell
@nuriallibertat2
@ferrermontero
@sempiterna8
@mastophora1
@ladiosalibre

Top Tweeters in G8:
@macha_oji
@sosorasora3
@cao58020
@yonnnana
@longlow1
@souun_udoku
@seki_yo
@uchida_kawasaki
@myrten_nussbaum
@machiboni

Top Tweeters in G9:
@cyclejunkie88
@fern_60
@ram0667
@veritatem2021
@numbersmean
@cieloyla
@phydellall
@testertwitt
@smithka430
@insane_voice

Top Tweeters in G10:
@aldu_maria
@lkfpaez
@starfishariel
@ruz05
@luzhtol
@celsogz
@arkadi87
@hope2803
@florchsandoval
@paoferreiray


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