NCoV, Twitter, 2/4/2023 12:14:53 PM, 288503


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NCoV_2023-02-04_03-12-01.xlsx
NCoV_2023-02-04_03-12-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 04, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3jrlpoL
@georgebest1969
@iancopeland5
@cdcgov
@aungkanspace
@profidokamdphd
@_2019_ncov
@sakamotofumie
@rwmalonemd
@elonmusk
@morilyn1123

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

Description:
Description
The graph represents a network of 5,481 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1116-day, 13-hour, 40-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 04 February 2023 at 00:58 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 : 5481
Unique Edges : 3444
Edges With Duplicates : 10999
Total Edges : 14443
Number of Edge Types : 9
Retweet : 3551
MentionsInRetweet : 4441
MentionsInReplyTo : 3927
Replies to : 1522
Tweet : 609
MentionsInQuote : 101
MentionsInQuoteReply : 65
Quote : 53
Mentions : 174
Self-Loops : 987
Reciprocated Vertex Pair Ratio : 0.0399777127733668
Reciprocated Edge Ratio : 0.0768818644521832
Connected Components : 504
Single-Vertex Connected Components : 179
Maximum Vertices in a Connected Component : 3652
Maximum Edges in a Connected Component : 10370
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.300599
Graph Density : 0.000248569377690948
Modularity : 0.491415
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,481 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 11:16 UTC.

The tweets in the network were tweeted over the 1116-day, 13-hour, 40-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Saturday, 04 February 2023 at 00:58 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:
[1256] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[329] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[78] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[77] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[55] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[53] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[50] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[48] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[38] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html

Top URLs in Tweet in G1:
[936] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[1] https://twitter.com/yfuruse/status/1620011843875131393/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] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://twitter.com/_ppmv/status/1620756174839881733/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/isolation.html
[3] https://twitter.com/robertbenda/status/1620405370169737216/photo/1
[2] https://www.canada.ca/en/public-health/services/diseases/2019-novel-coronavirus-infection/health-professionals/infection-prevention-control-covid-19-second-interim-guidance.html
[2] https://twitter.com/jvipondmd/status/1619813703339343872/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html

Top URLs in Tweet in G3:
[3] https://targum.video/v/2023/01/31/0165ffe9647bad9a767864f9bc985736
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[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/BlackBondPtv/status/1621582605660323840
[2] https://twitter.com/guillaume46/status/1620715044534353922/photo/1
[2] https://twitter.com/Project_Veritas/status/1621274788734943233/video/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/hcp/planning-scenarios.html

Top URLs in Tweet in G4:
[298] 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://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html
[1] https://mainichi.jp/premier/health/articles/20220730/med/00m/100/001000c

Top URLs in Tweet in G5:
[4] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[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
[1] https://www.mcgill.ca/oss/article/covid-19-medical-critical-thinking/evidence-shows-masks-work
[1] https://med.stanford.edu/news/all-news/2021/09/surgical-masks-covid-19.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/dann58638436/status/1620899988195934208/photo/1
[1] https://twitter.com/dann58638436/status/1621107168241139712/photo/1
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200130-sitrep-10-ncov.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html

Top URLs in Tweet in G6:
[14] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[10] https://c11.kr/196gt
[9] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://ncv.kdca.go.kr/ncov
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://twitter.com/blurmyu/status/1621470343952220162/photo/1
[4] https://twitter.com/blurmyu/status/1619627894942347265/photo/1

Top URLs in Tweet in G7:
[1] https://www.sanidad.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Informe_GIV_comunicacion_20230127.pdf
[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:
[12] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/omicron.html#kansenjyoukyou
[1] https://twitter.com/orientis312/status/1619721135565983744/photo/1
[1] https://twitter.com/morilyn1123/status/1620613712477581312/photo/1
[1] https://twitter.com/morilyn1123/status/1617684696959418368/photo/1
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin

Top URLs in Tweet in G9:
[321] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[52] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[50] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[6] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/230130_stage2.html
[2] https://twitter.com/ooaminavi/status/1621298221619499008/photo/1
[2] https://twitter.com/ooaminavi/status/1620744805084184576/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1619228106673520640/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1619605684152332288/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1619970450112786433/photo/1

Top URLs in Tweet in G10:
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.umassmed.edu/news/news-archives/2020/12/inside-the-new-mrna-vaccines-for-covid-19/
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[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/JamesLLandis/status/1621524517268115458/photo/1
[1] https://twitter.com/optikmike/status/1620068144319705089/photo/1
[1] https://twitter.com/optikmike/status/1620064455538409472/photo/1
[1] https://twitter.com/WayneAllanH/status/1620199684596994048/photo/1
[1] https://vaersanalysis.info/2021/11/12/vaers-summary-for-covid-19-vaccines-through-11-05-2021/

Top Domains
Top Domains in Tweet in Entire Graph:
[2011] cdc.gov
[708] twitter.com
[350] ibaraki.jp
[209] lg.jp
[69] recombinomics.co
[53] who.int
[53] go.jp
[50] go.kr
[43] publichealthontario.ca
[38] bvsalud.org

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

Top Domains in Tweet in G2:
[37] cdc.gov
[31] twitter.com
[2] canada.ca
[2] youtube.com
[1] biorxiv.org
[1] usatoday.com
[1] knowplango.com

Top Domains in Tweet in G3:
[93] twitter.com
[13] cdc.gov
[4] pgibertie.com
[4] youtube.com
[3] targum.video
[2] nih.gov
[1] actuintel.com
[1] limpertinentmedia.com
[1] ripostelaique.com
[1] lecourrier-du-soir.com

Top Domains in Tweet in G4:
[298] 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:
[14] cdc.gov
[9] twitter.com
[2] jamanetwork.com
[1] mcgill.ca
[1] stanford.edu
[1] who.int
[1] sandiegocounty.gov
[1] publichealthontario.ca
[1] chinacdc.cn
[1] cochranelibrary.com

Top Domains in Tweet in G6:
[110] cdc.gov
[90] twitter.com
[69] recombinomics.co
[18] bvsalud.org
[16] go.kr
[13] ibaraki.jp
[13] documentsdelivered.com
[10] c11.kr
[9] lg.jp
[9] co.jp

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

Top Domains in Tweet in G8:
[29] cdc.gov
[8] go.jp
[3] twitter.com
[2] lg.jp
[1] ibaraki.jp

Top Domains in Tweet in G9:
[330] ibaraki.jp
[103] lg.jp
[11] twitter.com
[1] cdc.gov

Top Domains in Tweet in G10:
[9] cdc.gov
[5] twitter.com
[2] umassmed.edu
[1] publichealthontario.ca
[1] vaersanalysis.info
[1] nih.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[322] 新型コロナウイルス感染症情報
[220] covid_19
[180] covid19
[126] mironews
[20] 코로나19
[20] 예방접종
[15] kine404sp23
[15] coronavirus
[14] 練馬区
[12] sarscov2



Top Hashtags in Tweet in G2:
[122] covid19
[2] icymi
[1] maskup
[1] knowplango
[1] healthiernj
[1] internationaltravel

Top Hashtags in Tweet in G3:
[3] covid_19
[2] biolabs
[2] russiaiscollapsing
[2] pfertility
[1] afp
[1] obama
[1] rsa
[1] mariupol
[1] rothschild
[1] biolabsus

Top Hashtags in Tweet in G5:
[1] maskswork

Top Hashtags in Tweet in G6:
[20] covid19
[6] sarscov2
[5] 안전안내
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[4] cdc
[3] covid
[3] coronavirus
[3] flu

Top Hashtags in Tweet in G7:
[125] mironews

Top Hashtags in Tweet in G8:
[1] 新型コロナウイルス感染症情報
[1] コロナ図書室ー子供
[1] コロナ図書室ー総括

Top Hashtags in Tweet in G9:
[321] 新型コロナウイルス感染症情報
[2] 千葉県庁

Top Hashtags in Tweet in G10:
[1] crimesagainsthumanity

Top Words
Top Words in Tweet in Entire Graph:
[1237] covid
[965] georgebest1969
[962] 日本の政治家も官僚も勘違いが甚だしい
[962] 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
[962] 日本とは違うだけで
[962] 別に世界は笑わんぞ
[962] 人々がその推奨通りに行動するかどうかが
[811] 19
[504] co
[478] cdcgov

Top Words in Tweet in G1:
[937] georgebest1969
[936] 別に世界は笑わんぞ
[936] 日本とは違うだけで
[936] 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
[936] 日本の政治家も官僚も勘違いが甚だしい
[936] 人々がその推奨通りに行動するかどうかが
[3] udu0hi
[2] は明確に誤りです
[2] 第一報
[2] 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

Top Words in Tweet in G2:
[459] cdcgov
[397] covid
[352] 19
[318] month
[311] alexander_tin
[307] predicting
[304] over
[303] decrease
[303] hospitalizations
[302] longer

Top Words in Tweet in G3:
[429] _2019_ncov
[84] ce
[76] c'est
[67] plus
[59] ils
[49] mais
[43] par
[41] ça
[38] tout
[36] sont

Top Words in Tweet in G4:
[278] 米cdcのホームページに
[278] 例えば
[278] checkというサイトがありまして
[278] 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
[277] sakamotofumie
[20] 日本の政治家も官僚も勘違いが甚だしい
[20] georgebest1969
[20] 人々がその推奨通りに行動するかどうかが
[20] 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
[20] 日本とは違うだけで

Top Words in Tweet in G5:
[19] jennyerikson
[12] monstercoyliar
[12] masks
[10] skepticalmutant
[10] doritmi
[9] work
[9] mcfunny
[9] 2020
[8] doc_stuart
[8] swedishchf

Top Words in Tweet in G6:
[212] covid
[126] 19
[112] ncov
[110] 2019
[79] cases
[72] deaths
[70] increase
[69] recombinomics
[69] inc
[34] more

Top Words in Tweet in G7:
[262] 60
[125] datos
[125] campaña
[125] mayores
[125] dosis
[125] #mironews
[125] 4ª
[125] menores
[125] vacunación
[125] patologías

Top Words in Tweet in G8:
[86] orientis312
[85] 20歳未満62人が死亡し
[85] 感染研の報告によれば
[85] 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
[85] その6割弱が基礎疾患なしという
[85] 第8波におけるこの年代の死亡も是非報告してほしい
[85] 第6から7波までのデータだが
[26] 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
[26] 家庭が半分で
[26] やっぱりノーマスク時の感染が基本では

Top Words in Tweet in G9:
[330] co
[321] 詳細
[321] 現在の入院者数
[321] 本日の死亡者
[321] 本日の新規陽性者数
[321] qnzux8c1z3
[321] うち重症者
[321] #新型コロナウイルス感染症情報
[314] ibaraki_kouhou
[269] 検査前で症状がある方

Top Words in Tweet in G10:
[17] unhealthytruth
[13] trumpbangskids
[12] inugamiz
[12] coloradocrest
[12] colelcollinss
[12] nowhereman_sj
[12] evolvingmamma
[11] nancy
[11] omg
[11] sotacita

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[962] georgebest1969,別に世界は笑わんぞ
[962] 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
[962] 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
[962] 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
[962] 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
[735] covid,19
[324] 詳細,co
[322] co,qnzux8c1z3
[315] ibaraki_kouhou,#新型コロナウイルス感染症情報
[313] hospitalizations,decrease

Top Word Pairs in Tweet in G1:
[936] 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
[936] 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
[936] 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
[936] 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
[936] georgebest1969,別に世界は笑わんぞ
[2] udu0hi,そしてオミクロン期に肺炎を起こして死亡した子どももいます
[2] 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
[2] そしてオミクロン期に肺炎を起こして死亡した子どももいます,ゼロ
[2] は明確に誤りです,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
[2] ゼロ,は明確に誤りです

Top Word Pairs in Tweet in G2:
[352] covid,19
[303] decrease,over
[303] hospitalizations,decrease
[302] longer,predicting
[302] predicting,covid
[302] coming,month
[302] 19,hospitalizations
[302] cdcgov,longer
[302] over,coming
[301] month,remai

Top Word Pairs in Tweet in G3:
[19] peut,être
[16] ils,voulaient
[16] voulaient,j'utilise
[14] ce,peut
[14] romain260910,_2019_ncov
[14] verity_france,fart47404663
[13] j'en,ai
[13] l'une,plus
[13] plus,belles
[13] _2019_ncov,_brindacier

Top Word Pairs in Tweet in G4:
[278] 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
[278] 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
[278] checkというサイトがありまして,例えば
[277] sakamotofumie,米cdcのホームページに
[20] 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
[20] 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
[20] 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
[20] 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
[20] 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:
[8] masks,work
[7] work,san
[7] diego,masking
[7] clear,masks
[7] study,2020
[7] cochrane,study
[7] 2023,clear
[7] update,2023
[7] 2020,update
[7] jennyerikson,doc_stuart

Top Word Pairs in Tweet in G6:
[118] covid,19
[101] 2019,ncov
[69] cases,increase
[69] recombinomics,inc
[69] ncov,recombinomics
[68] covid,cases
[17] learn,more
[15] coronavirus,2019
[15] 19,vaccines
[15] novel,coronavirus

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

Top Word Pairs in Tweet in G8:
[85] 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
[85] 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
[85] 感染研の報告によれば,第6から7波までのデータだが
[85] 第6から7波までのデータだが,20歳未満62人が死亡し
[85] 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] orientis312,感染研の報告によれば
[26] 1日中は無理,学校
[26] やっぱりノーマスク時の感染が基本では,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
[26] 飲食,施設など
[26] 広島の感染経路の推定データですが,家庭が半分で

Top Word Pairs in Tweet in G9:
[321] 詳細,co
[321] co,qnzux8c1z3
[314] ibaraki_kouhou,#新型コロナウイルス感染症情報
[269] qnzux8c1z3,検査前で症状がある方
[165] 4名,詳細
[165] 本日の死亡者,4名
[152] 検査前で症状がある方,検査で陽
[109] 19名,本日の死亡者
[109] うち重症者,19名
[101] 本日の死亡者,6名

Top Word Pairs in Tweet in G10:
[12] colelcollinss,coloradocrest
[12] evolvingmamma,unhealthytruth
[12] unhealthytruth,inugamiz
[12] coloradocrest,evolvingmamma
[12] inugamiz,nowhereman_sj
[11] omg,nancy
[11] nowhereman_sj,omg
[11] trumpbangskids,colelcollinss
[10] sotacita,trumpbangskids
[4] julieparkansky2,unhealthytruth

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

Top Replied-To in G1:
@udu0hi
@georgebest1969

Top Replied-To in G2:
@ajmoorehealth
@alexander_tin
@backwoodsohm
@rnlang
@cdcgov
@pedinska

Top Replied-To in G3:
@_2019_ncov
@romain260910
@nutsteph
@oscar01041954
@eb_charlie
@project_veritas
@nvesuve
@lacolitruche
@jrmesari1
@atiaz11

Top Replied-To in G4:
@maimanma1

Top Replied-To in G5:
@allenshrugged
@hotzone_chiller
@embee132
@doc_stuart
@giannmi
@ryanwittrup
@dann58638436
@tobornin
@celinegounder
@drdavidmoore11

Top Replied-To in G7:
@ciervoscomunis1
@hondontown

Top Replied-To in G8:
@cgqoalk
@orientis312

Top Replied-To in G10:
@dc_draino
@realcory_seale
@optikmike
@trumpbangskids
@colelcollinss
@tranquil_sage
@jamesllandis
@sifu_wai
@jimdtweet
@wayneallanh

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

Top Mentioned in G1:
@georgebest1969
@yfuruse
@udu0hi

Top Mentioned in G2:
@cdcgov
@alexander_tin
@jvipondmd
@togetherwemask
@_ppmv
@flsurgeongen
@us_fda
@mandatemasksny
@cdcdirector
@jljcolorado

Top Mentioned in G3:
@_2019_ncov
@fart47404663
@verity_france
@jaimehorta17
@narashi13876794
@rasekrasek
@docteurpeb1
@llp_le_vrai
@_brindacier
@louan07

Top Mentioned in G4:
@sakamotofumie
@georgebest1969
@motoisuzuki

Top Mentioned in G5:
@jennyerikson
@monstercoyliar
@mcfunny
@skepticalmutant
@doritmi
@tonybaduy
@andrewlazarus4
@provaxtexan
@swedishchf
@doc_stuart

Top Mentioned in G6:
@ddawgly
@wsjp_insight
@clrcommunity
@consulmextuc
@critica18495985
@somakhand
@pharmacologirls

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

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

Top Mentioned in G9:
@ibaraki_kouhou
@chibaken_kouhou
@tsukubais
@hiroshima_pref
@sakamotofumie

Top Mentioned in G10:
@unhealthytruth
@trumpbangskids
@coloradocrest
@evolvingmamma
@inugamiz
@nowhereman_sj
@sotacita
@colelcollinss
@ericareport
@barbarajdurkin

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@jurylady5
@ecodaren
@macha_oji
@matiere
@joni_looking
@toneunga3
@awasemaru7
@sippomagari
@britpoptarts

Top Tweeters in G1:
@awasemaru7
@sino_p928
@washiro
@fusasippona
@dratomo_super
@sobtomk
@necobone
@miracle_spirit_
@shizuokakonsama
@tareuyaya

Top Tweeters in G2:
@britpoptarts
@lizditz
@b1e56df9ce6549f
@tyberzannxxxx
@cathleenkucz
@mjohnso27
@paulpaul49
@inforenique
@nobiggovduh
@godessofchaos71

Top Tweeters in G3:
@katiaontheearth
@yvespdb
@sarah41659531
@thierryrouby
@ch_coulon
@gerardfiloche
@darlaysjames
@jakopasto1
@babibelle33
@libredepenserfr

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

Top Tweeters in G5:
@joeofthenorth
@doritmi
@_mamadeb
@monstercoyliar
@takethatct
@mcfunny
@breezergalway
@wjack76995
@frankdelia7
@angryfleas

Top Tweeters in G6:
@matiere
@personalfitnes3
@didaclopez
@missourigirl62
@wayne_effect
@gate_15_analyst
@wsjp_insight
@fujikurok
@asynchronize
@yu2kama

Top Tweeters in G7:
@dcolorruth
@rociogrande1
@jorgemcr200491
@acuervomont
@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:
@toneunga3
@shintochigi1
@atsushi48shm410
@moriai8
@tsuka_kazunee
@nyaunyau0426
@bluesky_parking
@sgr_kn
@dummyxtweet
@m9harrier

Top Tweeters in G10:
@cyclejunkie88
@fern_60
@ram0667
@veritatem2021
@numbersmean
@cieloyla
@phydellall
@smithka430
@insane_voice
@noelturner194