NCoV, Twitter, 2/5/2023 10:48:19 AM, 288605


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NCoV_2023-02-05_02-28-26.xlsx
NCoV_2023-02-05_02-28-26.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
February 05, 2023
Short Description:
NCoV via NodeXL https://bit.ly/40Gpkie
@cdcgov
@morilyn1123
@hichachu
@georgebest1969
@_2019_ncov
@elonmusk
@dadshonan
@mainasodacola
@himbeergeld
@sakamotofumie

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

Description:
Description
The graph represents a network of 5,556 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 10:32 UTC.

The tweets in the network were tweeted over the 1117-day, 13-hour, 42-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 05 February 2023 at 01:00 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 : 5556
Unique Edges : 3977
Edges With Duplicates : 11195
Total Edges : 15172
Number of Edge Types : 9
Retweet : 3337
MentionsInRetweet : 4294
MentionsInReplyTo : 4698
Replies to : 1746
Tweet : 694
MentionsInQuote : 103
MentionsInQuoteReply : 60
Quote : 57
Mentions : 183
Self-Loops : 1114
Reciprocated Vertex Pair Ratio : 0.0443356273160402
Reciprocated Edge Ratio : 0.0849068559117983
Connected Components : 551
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 3568
Maximum Edges in a Connected Component : 10565
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.917132
Graph Density : 0.000255673515515698
Modularity : 0.495337
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,556 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 10:32 UTC.

The tweets in the network were tweeted over the 1117-day, 13-hour, 42-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Sunday, 05 February 2023 at 01:00 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:
[847] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[350] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[88] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[85] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[70] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[57] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[55] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[41] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[38] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[37] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html

Top URLs in Tweet in G1:
[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://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[4] https://twitter.com/_ppmv/status/1620756174839881733/photo/1
[4] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-799655
[3] https://twitter.com/Iamgoingtosleep/status/1621878473747795971/photo/1
[3] https://twitter.com/CPita3/status/1460826271563329537/photo/1
[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 G2:
[536] 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/11727-20.html
[1] https://twitter.com/ham_ishigakki/status/1619306972612034565
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1856629
[1] https://www.frontiersin.org/articles/10.3389/fmed.2021.668995/full
[1] https://twitter.com/jisei0918/status/1620583172697358342
[1] https://www.niid.go.jp/niid/ja/2019-ncov/11775-covid19-ab115th.html
[1] https://twitter.com/Robin55bowl/status/1619929218632265728/photo/1
[1] https://twitter.com/L59422829/status/1609784527848886274/photo/1
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2484-idsc/11053-covid19-78.html

Top URLs in Tweet in G3:
[3] https://targum.video/v/2023/01/31/0165ffe9647bad9a767864f9bc985736
[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/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
[1] https://twitter.com/_2019_nCoV/status/1620331206075355138/video/1
[1] https://twitter.com/_2019_nCoV/status/1513262549051002881/video/1

Top URLs in Tweet in G4:
[288] 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:
[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/vaccines/safety/adverse-events.html
[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://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/face-coverings.html
[1] https://twitter.com/popjump/status/1620929373250678786/photo/1
[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://twitter.com/dann58638436/status/1620899988195934208/photo/1

Top URLs in Tweet in G6:
[16] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[10] https://c11.kr/196gt
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://ncv.kdca.go.kr/ncov
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[5] https://tools.cdc.gov/api/embed/downloader/download.asp?m=404952&c=413966
[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

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.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:
[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/types-of-masks.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11727-20.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/about-face-coverings.html
[2] https://www.pref.hiroshima.lg.jp/site/2019-ncov/omicron.html#kansenjyoukyou
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[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

Top URLs in Tweet in G9:
[342] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[68] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[38] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[7] 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/1621689432490524672/photo/1
[2] https://twitter.com/ooaminavi/status/1620744805084184576/photo/1
[2] https://twitter.com/ooaminavi/status/1621298221619499008/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:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[4] https://twitter.com/Missgevious1/status/1621148836352897026/photo/1
[4] https://twitter.com/Missgevious1/status/1621148897203875843/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/travelers/proof-of-vaccination.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://www.who.int/news-room/questions-and-answers/item/covid-19-vaccines
[2] http://www.niaid.nih.gov/node/7937?404message&requested_url=/diseases-conditions/covid-19-vaccines

Top Domains
Top Domains in Tweet in Entire Graph:
[1680] cdc.gov
[828] twitter.com
[372] ibaraki.jp
[230] lg.jp
[83] recombinomics.co
[61] who.int
[56] go.jp
[54] go.kr
[46] publichealthontario.ca
[44] tokyo.jp

Top Domains in Tweet in G1:
[43] twitter.com
[41] cdc.gov
[4] bvsalud.org
[2] canada.ca
[2] who.int
[2] youtube.com
[1] knowplango.com
[1] biorxiv.org
[1] usatoday.com

Top Domains in Tweet in G2:
[536] cdc.gov
[5] twitter.com
[5] go.jp
[1] bvsalud.org
[1] frontiersin.org

Top Domains in Tweet in G3:
[103] twitter.com
[7] cdc.gov
[4] pgibertie.com
[3] targum.video
[3] youtube.com
[1] limpertinentmedia.com
[1] ripostelaique.com
[1] actuintel.com
[1] mullvad.net
[1] reporterre.net

Top Domains in Tweet in G4:
[288] 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:
[19] cdc.gov
[9] twitter.com
[2] jamanetwork.com
[1] sandiegocounty.gov
[1] mcgill.ca
[1] stanford.edu
[1] who.int
[1] publichealthontario.ca
[1] chinacdc.cn
[1] nih.gov

Top Domains in Tweet in G6:
[127] cdc.gov
[101] twitter.com
[83] recombinomics.co
[18] bvsalud.org
[16] go.kr
[14] ibaraki.jp
[13] documentsdelivered.com
[10] lg.jp
[10] co.jp
[10] c11.kr

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

Top Domains in Tweet in G8:
[21] cdc.gov
[4] go.jp
[3] twitter.com
[2] lg.jp
[2] ibaraki.jp

Top Domains in Tweet in G9:
[352] ibaraki.jp
[107] lg.jp
[14] twitter.com
[1] cdc.gov

Top Domains in Tweet in G10:
[35] cdc.gov
[19] twitter.com
[3] nih.gov
[2] who.int
[1] worldometers.info
[1] reuters.com
[1] globalepidemics.org
[1] scientificamerican.com
[1] commonwealthfund.org
[1] co.uk

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[344] 新型コロナウイルス感染症情報
[244] covid_19
[186] covid19
[126] mironews
[23] 코로나19
[23] 예방접종
[17] coronavirus
[17] 練馬区
[14] covid
[14] kine404sp23



Top Hashtags in Tweet in G1:
[126] covid19
[3] coronavirus
[2] icymi
[1] maskup
[1] knowplango
[1] eb152
[1] wuhan
[1] china
[1] healthiernj
[1] internationaltravel

Top Hashtags in Tweet in G2:
[1] もうコロナに分類はいらない
[1] コロナを無類に戻そう

Top Hashtags in Tweet in G3:
[5] covid_19
[2] biolabs
[2] pfizer
[2] moderna
[2] russiaiscollapsing
[1] mariupol
[1] rsa
[1] rothschild
[1] afp
[1] macron

Top Hashtags in Tweet in G5:
[1] maskswork

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

Top Hashtags in Tweet in G7:
[125] mironews

Top Hashtags in Tweet in G8:
[2] 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:
[342] 新型コロナウイルス感染症情報
[3] 千葉県庁

Top Hashtags in Tweet in G10:
[1] ignoranceisblissful
[1] jeanmessiha

Top Words
Top Words in Tweet in Entire Graph:
[1390] covid
[928] 19
[550] georgebest1969
[549] co
[548] 日本の政治家も官僚も勘違いが甚だしい
[548] 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
[548] 日本とは違うだけで
[548] 別に世界は笑わんぞ
[548] 人々がその推奨通りに行動するかどうかが
[533] _2019_ncov

Top Words in Tweet in G1:
[487] cdcgov
[435] covid
[388] 19
[346] month
[336] alexander_tin
[332] predicting
[332] longer
[330] over
[328] decrease
[328] hospitalizations

Top Words in Tweet in G2:
[538] georgebest1969
[536] 日本の政治家も官僚も勘違いが甚だしい
[536] 人々がその推奨通りに行動するかどうかが
[536] 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
[536] 日本とは違うだけで
[536] 別に世界は笑わんぞ
[4] kagakutoha
[2] これについてはどう考えられますか
[2] また
[2] 国立感染症研究所の情報ではこのような結果も出ています

Top Words in Tweet in G3:
[518] _2019_ncov
[102] ce
[86] c'est
[81] plus
[75] ils
[59] mais
[49] ça
[48] par
[47] sont
[45] tout

Top Words in Tweet in G4:
[279] 米cdcのホームページに
[279] 例えば
[279] checkというサイトがありまして
[279] 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] sakamotofumie
[9] 日本の政治家も官僚も勘違いが甚だしい
[9] georgebest1969
[9] 人々がその推奨通りに行動するかどうかが
[9] 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
[9] 日本とは違うだけで

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

Top Words in Tweet in G6:
[247] covid
[141] 19
[127] ncov
[126] 2019
[93] cases
[86] deaths
[84] increase
[83] recombinomics
[83] inc
[39] vaccines

Top Words in Tweet in G7:
[265] 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] その6割弱が基礎疾患なしという
[85] 20歳未満62人が死亡し
[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] 感染研の報告によれば
[85] 第6から7波までのデータだが
[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
[27] 学校
[27] 飲食
[27] 1日中は無理

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

Top Words in Tweet in G10:
[32] covid
[30] elonmusk
[20] catturd2
[16] vaccine
[13] 19
[11] vaccines
[11] know
[9] people
[9] vax
[9] _2019_ncov

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[837] covid,19
[548] 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
[548] 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
[548] 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
[548] 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
[547] georgebest1969,別に世界は笑わんぞ
[345] 詳細,co
[344] co,qnzux8c1z3
[341] hospitalizations,decrease
[341] 19,hospitalizations

Top Word Pairs in Tweet in G1:
[388] covid,19
[328] hospitalizations,decrease
[328] decrease,over
[327] 19,hospitalizations
[327] over,coming
[327] cdcgov,longer
[327] longer,predicting
[327] predicting,covid
[327] coming,month
[326] month,remai

Top Word Pairs in Tweet in G2:
[536] 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
[536] 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
[536] 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
[536] 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
[535] georgebest1969,別に世界は笑わんぞ
[2] その為にも重症化予防も必要とはならないでしょうか,また
[2] kagakutoha,georgebest1969
[2] とは言えない状況です,その為にも重症化予防も必要とはならないでしょうか
[2] また,国立感染症研究所の情報ではこのような結果も出ています
[2] jisei0918,罹らない

Top Word Pairs in Tweet in G3:
[22] 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:
[279] 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
[279] 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] checkというサイトがありまして,例えば
[278] sakamotofumie,米cdcのホームページに
[9] 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
[9] georgebest1969,別に世界は笑わんぞ
[9] 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
[9] 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
[9] 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
[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:
[9] masks,work
[8] 2023,clear
[8] doc_stuart,cochrane
[8] 2020,update
[8] cochrane,study
[8] diego,masking
[8] work,san
[8] study,2020
[8] clear,masks
[8] san,diego

Top Word Pairs in Tweet in G6:
[134] covid,19
[117] 2019,ncov
[83] recombinomics,inc
[83] cases,increase
[83] ncov,recombinomics
[82] covid,cases
[24] 19,vaccines
[19] learn,more
[15] novel,coronavirus
[15] coronavirus,2019

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:
[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] 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] 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
[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
[84] orientis312,感染研の報告によれば
[27] 学校,職場もどういう場面だったのか
[27] 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,1日中は無理
[27] 広島の感染経路の推定データですが,家庭が半分で
[27] 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

Top Word Pairs in Tweet in G9:
[342] 詳細,co
[342] co,qnzux8c1z3
[334] ibaraki_kouhou,#新型コロナウイルス感染症情報
[290] qnzux8c1z3,検査前で症状がある方
[151] 検査前で症状がある方,検査で陽
[139] 4名,詳細
[139] 本日の死亡者,4名
[109] 19名,本日の死亡者
[109] うち重症者,19名
[103] 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

Top Word Pairs in Tweet in G10:
[13] covid,19
[8] diedsuddenly_,catturd2
[6] stillgray,lukewearechange
[6] _2019_ncov,jeanmessiha
[6] side,effects
[5] jeanmessiha,elonmusk
[5] elonmusk,stillgray
[5] 19,vaccines
[4] adamkinzinger,libfails
[4] cee76bee,kylied87

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

Top Replied-To in G1:
@ajmoorehealth
@alexander_tin
@michael34301004
@iamgoingtosleep
@haiyang050504
@backwoodsohm
@rnlang
@cdcgov
@pedinska

Top Replied-To in G2:
@n_rem_sleep
@kagakutoha
@dr_lalaba_i
@elecord
@robin55bowl
@fy6sdgx7agh6ahg
@jisei0918
@georgebest1969

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

Top Replied-To in G4:
@maimanma1

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

Top Replied-To in G7:
@ciervoscomunis1
@hondontown

Top Replied-To in G8:
@cgqoalk
@orientis312

Top Replied-To in G10:
@_2019_ncov
@mssamadams
@elonmusk
@catturd2
@jarotdacarot
@corine15671184
@eleutheria_23
@scottadamssays
@leighwolf
@jeanmessiha

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:
@cdcgov
@alexander_tin
@jvipondmd
@who
@togetherwemask
@_ppmv
@mandatemasksny
@mvankerkhove
@kuzmanovica
@ohaoregon

Top Mentioned in G2:
@georgebest1969
@kagakutoha
@muroran1978
@l59422829
@jisei0918

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

Top Mentioned in G4:
@sakamotofumie
@georgebest1969
@motoisuzuki

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

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
@dadshonan
@asadoriq
@sakamotofumie
@ibaraki_kouhou
@cgqoalk
@georgebest1969
@alexander_tin
@cdcgov

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

Top Mentioned in G10:
@elonmusk
@catturd2
@cee76bee
@diedsuddenly_
@jimmy_dore
@ozraeliavi
@lukewearechange
@jeanmessiha
@adamkinzinger
@vancemurphy

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

Top Tweeters in G1:
@britpoptarts
@lizditz
@b1e56df9ce6549f
@tyberzannxxxx
@cathleenkucz
@mjohnso27
@paulpaul49
@inforenique
@ranilyons
@bprophetable

Top Tweeters in G2:
@washiro
@dratomo_super
@sobtomk
@necobone
@repipuhoney
@ayukero52
@chaoszap
@iwashiryo1
@matsu_063
@02tbfd053dxvzrc

Top Tweeters in G3:
@threadreaderapp
@katiaontheearth
@bfmtv
@yvespdb
@sarah41659531
@le_parisien
@unrollhelper
@thierryrouby
@lemondefr
@wsj

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
@lvv2com
@missourigirl62
@nanyangpress
@wayne_effect
@wsjp_insight
@gate_15_analyst
@fujikurok

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
@sgr_kn
@dummyxtweet
@m9harrier
@miwa_1107

Top Tweeters in G10:
@stillgray
@benshapiro
@stevedeaceshow
@claytravis
@scottadamssays
@catturd2
@kylied87
@lynnfynn3
@elsacausse
@parrhizzia


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