NCoV, Twitter, 3/13/2023 10:42:37 AM, 291075


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NCoV_2023-03-13_03-30-01.xlsx
NCoV_2023-03-13_03-30-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 13, 2023
Short Description:
NCoV via NodeXL https://bit.ly/422DmLP
@_2019_ncov
@cdcgov
@nypost
@aubreyel1
@stevebigpond
@who
@bell00david
@doritmi
@mcfunny
@jikkyleaks

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

Description:
Description
The graph represents a network of 4,661 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 10:35 UTC.

The tweets in the network were tweeted over the 1155-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Monday, 13 March 2023 at 00:00 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 : 4661
Unique Edges : 4998
Edges With Duplicates : 15593
Total Edges : 20591
Number of Edge Types : 9
Retweet : 2439
MentionsInRetweet : 5241
Tweet : 627
Replies to : 2788
MentionsInReplyTo : 7953
Mentions : 254
Quote : 127
MentionsInQuoteReply : 574
MentionsInQuote : 588
Self-Loops : 1123
Reciprocated Vertex Pair Ratio : 0.0463464140730717
Reciprocated Edge Ratio : 0.088587132234077
Connected Components : 491
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 2611
Maximum Edges in a Connected Component : 15005
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.369367
Graph Density : 0.000427204830881398
Modularity : 0.385204
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,661 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 10:35 UTC.

The tweets in the network were tweeted over the 1155-day, 11-hour, 3-minute period from Sunday, 12 January 2020 at 12:57 UTC to Monday, 13 March 2023 at 00:00 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:
[375] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[332] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[102] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[101] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[100] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[33] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[23] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[21] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html

Top URLs in Tweet in G1:
[15] https://twitter.com/sispeo77/status/1633565619369959424/photo/1
[7] https://twitter.com/marcelalann/status/1634268776488226827/photo/1
[5] https://twitter.com/caimsteff1/status/1633469091397656578
[4] https://twitter.com/m38cds/status/1634840782615248901/photo/1
[4] https://twitter.com/dragonduclos/status/1633208954091102208?s=46&t=v20ijNDNvW0g2pzrfoclbw
[3] https://twitter.com/ChomEnterprise/status/1633546025133547526/photo/1
[3] https://twitter.com/ChomEnterprise/status/1634968727518314497/photo/1
[3] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[3] https://twitter.com/Dus_Pascal/status/1634504936883879936/video/1
[3] https://twitter.com/Pito843/status/1633015960016756736/photo/1

Top URLs in Tweet in G2:
[10] https://www.science.org/doi/10.1126/science.abm4454
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html
[3] https://twitter.com/mjtimber2/status/1633416497338150912/photo/1
[3] https://www.pnas.org/doi/10.1073/pnas.2002589117
[3] https://www.biorxiv.org/content/10.1101/2020.03.02.972935v1
[3] https://www.mja.com.au/system/files/2020-03/caly%20et%20al%20mja20.00186_preprint.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html

Top URLs in Tweet in G3:
[4] https://twitter.com/scribot_ai/status/1634949262898331650/video/1
[4] https://twitter.com/scribot_ai/status/1634986149625118721/video/1
[2] https://twitter.com/UPR_Asselineau/status/1633055588841127936/photo/1
[2] https://twitter.com/Merkaba72/status/1633410341148164096?s=20
[2] https://twitter.com/PR93095542/status/1581679610882068481/photo/1
[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/1
[2] https://twitter.com/CetiCov19/status/1633248636229304320/photo/1
[2] https://twitter.com/marloubordo/status/1634901659242446848/photo/1
[1] https://france3-regions.francetvinfo.fr/nouvelle-aquitaine/gironde/bordeaux/le-conseiller-municipal-philippe-poutou-a-recrute-sa-compagne-en-tant-que-collaboratrice-2728522.html
[1] https://korybko.substack.com/p/georgias-withdrawal-of-its-us-inspired?utm_source=post-email-title&publication_id=835783&post_id=107373926&isFreemail=true&utm_medium=email

Top URLs in Tweet in G4:
[10] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[1] https://twitter.com/CDCgov/status/1631044184676114437/photo/1
[1] https://twitter.com/CDCgov/status/1604937231931670528/video/1
[1] https://twitter.com/CDCgov/status/1528054266031747074/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html?fbclid=IwAR0lWcuynClwCRbU7-b-Va1KcoAPh8yed28jGXGLxR_xKy2lpXS04DpUhWg#Adults

Top URLs in Tweet in G5:
[16] https://twitter.com/Louan07/status/1634844626778718210/video/1
[9] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[4] https://twitter.com/NaraShi13876794/status/1537914796019855361/photo/1
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[2] https://www.youtube.com/watch?v=oA5yFD2hhYA&feature=youtu.be

[2] https://twitter.com/NaraShi13876794/status/1537417825035464704
[2] https://twitter.com/NaraShi13876794/status/1509663560590557186/video/1
[1] https://twitter.com/_2019_ncov/status/1634470350036647936
[1] https://twitter.com/55Bellechasse/status/1633227524439244801/photo/1
[1] https://twitter.com/55Bellechasse/status/1633226914809651201/photo/1

Top URLs in Tweet in G6:
[11] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://twitter.com/blurmyu/status/1632678138076606464/photo/1
[4] https://twitter.com/blurmyu/status/1633055735092486145/photo/1
[4] https://twitter.com/blurmyu/status/1633433527181258758/photo/1
[4] https://twitter.com/blurmyu/status/1634156881160667137/photo/1
[4] https://twitter.com/blurmyu/status/1633779958324793346/photo/1

Top URLs in Tweet in G7:
[332] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[98] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[23] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[21] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html
[12] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[11] https://twitter.com/funwari_fuwari/status/1633324053531611142
[5] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html#cms09A35
[4] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii

Top URLs in Tweet in G8:
[370] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[100] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[97] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[15] https://twitter.com/hiroshima_pref/status/1633018395603120128/photo/1
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[7] https://www.catapoke.com/viewer/?open=62b3f
[2] https://twitter.com/kashiwacasc/status/1633762343900553216/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1634807216002985985/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1632996445803675648/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1632634969284837378/photo/1

Top URLs in Tweet in G9:
[9] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[2] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-aefi-report.pdf?sc_lang=en
[1] https://twitter.com/ministeriosalud/status/1632773038960697344/video/1
[1] https://twitter.com/ministeriosalud/status/1628757730113585152/photo/1
[1] https://twitter.com/ministeriosalud/status/1633105556381614080/photo/1
[1] https://twitter.com/ministeriosalud/status/1632824300246904839/photo/1
[1] https://twitter.com/ministeriosalud/status/1633470113042006018/photo/1
[1] https://twitter.com/ministeriosalud/status/1634196702763556865/photo/1
[1] https://twitter.com/ministeriosalud/status/1632378240957333505/photo/1
[1] https://twitter.com/ministeriosalud/status/1634554770529632256/photo/1

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html#:~:text=All%20currently%20approved%20or%20authorized,and%20the%20people%20around%20them
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/how-they-work.html#:~:text=19%20Vaccines%20Work-,COVID%2D19%20vaccines%20help%20our%20bodies%20develop%20immunity%20to%20the,different%20ways%20to%20offer%20protection
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/risks-getting-very-sick.html#:~:text=People%20who%20are%20vaccinated%20with,on%20their%20COVID%2D19%20vaccines

Top Domains
Top Domains in Tweet in Entire Graph:
[1425] twitter.com
[630] cdc.gov
[392] ibaraki.jp
[235] lg.jp
[70] recombinomics.co
[58] tokyo.jp
[55] who.int
[39] go.jp
[39] youtube.com
[38] nih.gov

Top Domains in Tweet in G1:
[293] twitter.com
[16] youtube.com
[15] threadreaderapp.com
[5] pgibertie.com
[4] touscontribuables.org
[3] bfmtv.com
[3] newspunch.com
[3] assemblee-nationale.fr
[2] francetvinfo.fr
[2] francesoir.fr

Top Domains in Tweet in G2:
[41] twitter.com
[23] cdc.gov
[10] science.org
[10] who.int
[3] pnas.org
[3] biorxiv.org
[3] com.au
[1] substack.com
[1] thelancet.com
[1] gov.uk

Top Domains in Tweet in G3:
[71] twitter.com
[5] crashdebug.fr
[3] threadreaderapp.com
[2] t.me
[2] bonsens.info
[2] lecourrierdesstrateges.fr
[1] francetvinfo.fr
[1] substack.com
[1] thegatewaypundit.com
[1] gov.it

Top Domains in Tweet in G4:
[40] cdc.gov
[32] twitter.com
[1] nih.gov
[1] reuters.com
[1] who.int
[1] audacy.com
[1] youtube.com

Top Domains in Tweet in G5:
[85] twitter.com
[9] newspunch.com
[6] youtube.com
[3] translate.goog
[3] cdc.gov
[1] substack.com
[1] co.uk
[1] gds.it
[1] leparisien.fr
[1] profidecatholica.com

Top Domains in Tweet in G6:
[125] twitter.com
[96] cdc.gov
[70] recombinomics.co
[17] go.jp
[12] ibaraki.jp
[11] lg.jp
[9] nih.gov
[8] co.jp
[8] nytimes.com
[6] docguide.com

Top Domains in Tweet in G7:
[359] twitter.com
[98] cdc.gov
[45] tokyo.jp
[23] or.jp
[17] lg.jp
[3] go.jp

Top Domains in Tweet in G8:
[380] ibaraki.jp
[198] lg.jp
[35] twitter.com
[7] catapoke.com
[1] cdc.gov

Top Domains in Tweet in G9:
[11] twitter.com
[9] minsal.cl
[2] publichealthontario.ca

Top Domains in Tweet in G10:
[3] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[368] 新型コロナウイルス感染症情報
[309] covid19
[296] covid_19
[29] covid
[24] 新型コロナ
[23] 練馬区
[22] coronavirus
[22] 広島県
[16] 코로나19
[16] 예방접종



Top Hashtags in Tweet in G1:
[3] donbass
[3] otan
[3] gardasil
[3] blackblocs
[3] soignants
[3] zelensky
[3] pfizer
[2] minsk
[2] covid19
[2] covid_19

Top Hashtags in Tweet in G2:
[1] plasmidgate
[1] covid
[1] vaccine
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet
[1] covid19

Top Hashtags in Tweet in G3:
[1] zelenskiwarcriminal
[1] macronlahonte
[1] lockdownfiles

Top Hashtags in Tweet in G4:
[259] covid19
[9] dyk
[9] covid
[5] longcovid
[2] deltavariant
[1] impfung

Top Hashtags in Tweet in G5:
[14] pasnotreeurope
[3] boycottpalaisdetokyo
[1] covid
[1] société

Top Hashtags in Tweet in G6:
[28] covid19
[9] covid
[7] cdc
[4] longcovid
[4] coronavirus
[3] valneva
[3] vla2001
[3] 疫情防控
[3] 流感
[2] sarscov2

Top Hashtags in Tweet in G7:
[23] 練馬区
[10] 千葉県庁

Top Hashtags in Tweet in G8:
[368] 新型コロナウイルス感染症情報
[24] 新型コロナ
[22] 広島県
[2] 茨城県

Top Hashtags in Tweet in G9:
[286] covid_19
[1] seguimoscuidándonos
[1] yomevacuno

Top Words
Top Words in Tweet in Entire Graph:
[2078] _2019_ncov
[964] covid
[572] casos
[566] co
[463] 19
[368] qnzux8c1z3
[368] 本日の新規陽性者数
[368] 検査前で症状がある方
[368] 現在の入院者数
[368] 本日の死亡者

Top Words in Tweet in G1:
[1579] _2019_ncov
[266] c'est
[212] ce
[191] ils
[175] plus
[173] ça
[147] sont
[142] mais
[129] par
[121] tout

Top Words in Tweet in G2:
[94] covid
[76] long
[50] vigilantfox
[45] test
[42] dowdedward
[39] medical
[38] patients
[38] iwillfactcheck_
[37] diagnosis
[37] based

Top Words in Tweet in G3:
[188] _2019_ncov
[184] yvespdb
[162] 55bellechasse
[137] basphilippe
[137] alainhoupert
[135] sitting_bull_d
[135] jgalt485
[134] jeanyvescapo
[120] rrrrgerard
[111] tvlcampagnol

Top Words in Tweet in G4:
[318] covid
[275] cdcgov
[259] #covid19
[209] people
[145] long
[143] conditions
[136] pcc
[136] anyone
[135] infection
[134] experience

Top Words in Tweet in G5:
[263] _2019_ncov
[151] piochel4
[107] 55bellechasse
[84] anticor_org
[82] gaelleml44
[79] agretdenis
[74] csapeforce
[62] mamanslouves
[60] _samedi_
[59] merci

Top Words in Tweet in G6:
[183] covid
[140] ncov
[125] 2019
[99] 19
[76] cases
[72] 1人
[70] increase
[70] inc
[70] recombinomics
[69] deaths

Top Words in Tweet in G7:
[83] 個人の生活の中では柔軟に対応しましょう
[83] 対策の原則は正しく理解して認め
[83] きちんとすべき時にはして
[83] ということだと個人的には理解しています
[82] bar1star
[42] 検査
[38] 土
[37] 練馬区
[36] 11
[34] 集団接種

Top Words in Tweet in G8:
[484] co
[368] 検査前で症状がある方
[368] qnzux8c1z3
[368] 本日の新規陽性者数
[368] #新型コロナウイルス感染症情報
[368] うち重症者
[368] 詳細
[368] 本日の死亡者
[368] 現在の入院者数
[359] ibaraki_kouhou

Top Words in Tweet in G9:
[570] casos
[286] #covid_19
[286] informe
[285] fallecidos
[285] 64
[285] registrados
[285] diario
[285] activos
[285] nuevos
[283] marzo

Top Words in Tweet in G10:
[6] workersutopia
[6] dirk_fasshauer
[4] mav_syd
[4] oohglobbits5
[4] raven4212
[4] racheltrimble12
[4] jh747474
[4] onlyamoment3
[4] melanie33720945
[4] mav_rick_morty8

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[368] qnzux8c1z3,検査前で症状がある方
[368] 詳細,co
[368] co,qnzux8c1z3
[359] ibaraki_kouhou,#新型コロナウイルス感染症情報
[313] covid,19
[285] informe,diario
[285] casos,activos
[285] registrados,64
[285] diario,#covid_19
[285] casos,nuevos

Top Word Pairs in Tweet in G1:
[48] _2019_ncov,c'est
[39] _2019_ncov,qofficiel
[31] ils,sont
[30] _2019_ncov,ils
[29] ils,ont
[23] _2019_ncov,oui
[22] eatcatalf,_2019_ncov
[22] peut,être
[20] _2019_ncov,ça
[17] ce,sont

Top Word Pairs in Tweet in G2:
[75] long,covid
[41] vigilantfox,dowdedward
[37] test,long
[37] diagnosis,based
[37] covid,diagnosis
[37] dowdedward,long
[37] covid,medical
[37] based,patients
[37] medical,test
[36] patients,compla

Top Word Pairs in Tweet in G3:
[133] basphilippe,yvespdb
[128] alainhoupert,jeanyvescapo
[121] 55bellechasse,basphilippe
[119] rrrrgerard,55bellechasse
[117] yvespdb,alainhoupert
[110] jeanyvescapo,tvlcampagnol
[97] tvlcampagnol,verity_france
[94] verity_france,jgalt485
[63] sitting_bull_d,rrrrgerard
[50] jgalt485,upr_asselineau

Top Word Pairs in Tweet in G4:
[144] long,covid
[142] covid,conditions
[134] covid,infection
[134] infection,people
[134] anyone,#covid19
[134] experience,covid
[134] pcc,long
[134] conditions,pcc
[134] #covid19,experience
[133] cdcgov,anyone

Top Word Pairs in Tweet in G5:
[68] anticor_org,csapeforce
[59] 55bellechasse,_2019_ncov
[58] mamanslouves,gaelleml44
[54] _2019_ncov,_samedi_
[46] _samedi_,ad_vitam44_
[34] al_petel,alaindujardin6
[33] merci,_2019_ncov
[33] utile,merci
[32] 55bellechasse,utile
[27] gaelleml44,anticor_org

Top Word Pairs in Tweet in G6:
[115] 2019,ncov
[88] covid,19
[71] covid,cases
[70] recombinomics,inc
[70] cases,increase
[70] ncov,recombinomics
[18] coronavirus,2019
[14] learn,more
[13] deaths,13
[10] sars,cov

Top Word Pairs in Tweet in G7:
[83] 対策の原則は正しく理解して認め,きちんとすべき時にはして
[83] きちんとすべき時にはして,個人の生活の中では柔軟に対応しましょう
[83] 個人の生活の中では柔軟に対応しましょう,ということだと個人的には理解しています
[82] bar1star,対策の原則は正しく理解して認め
[36] 11,土
[30] 本日のコロナワクチン接種会場,本日
[26] 予約なしでも接種できます,詳しくは
[23] kenko_de_nerima,本日のコロナワクチン接種会場
[21] 専門家会合,2023年3月8日
[21] に送付済,集団接種

Top Word Pairs in Tweet in G8:
[368] qnzux8c1z3,検査前で症状がある方
[368] 詳細,co
[368] co,qnzux8c1z3
[359] ibaraki_kouhou,#新型コロナウイルス感染症情報
[209] うち重症者,1名
[209] 1名,本日の死亡者
[203] 検査前で症状がある方,検査で陽性と判
[162] 0名,詳細
[162] 本日の死亡者,0名
[159] うち重症者,2名

Top Word Pairs in Tweet in G9:
[285] registrados,64
[285] casos,activos
[285] fallecidos,registrados
[285] diario,#covid_19
[285] informe,diario
[285] casos,nuevos
[276] ministeriosalud,informe
[173] #covid_19,marzo
[88] activos,fallecidos
[62] nuevos,10

Top Word Pairs in Tweet in G10:
[4] tessfromwessex,1pckt
[4] mav_syd,haircutspock
[4] d1scojerrys,onlyamoment3
[4] dirk_fasshauer,tessfromwessex
[4] 1pckt,canna420uk
[4] workersutopia,dirk_fasshauer
[4] foo_oom,mucusmucous
[4] darwintojesus,melanie33720945
[4] onlyamoment3,cern_lxxl
[4] wolfpak561,ultraglamma

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@eatcatalf
@55bellechasse
@5glinky
@jgalt485
@ludovicodiot
@sitting_bull_d
@louan07
@piochel4
@nova153

Top Replied-To in G1:
@_2019_ncov
@eatcatalf
@5glinky
@ludovicodiot
@nova153
@marilynnemeur
@jgalt485
@55bellechasse
@zippojeje
@b4rb3bl4ch3

Top Replied-To in G2:
@vigilantfox
@booyakashan1
@0800_ksmy_ass
@paulhud32059570
@mjtimber2
@hodlchicken
@claushetting
@anorthantsfan
@tierrahenson
@kithercbaby

Top Replied-To in G3:
@_2019_ncov
@sitting_bull_d
@christ24intern1
@yvespdb
@rrrrgerard
@55bellechasse
@crashdebug_fr
@partageinfos
@basphilippe
@upr_asselineau

Top Replied-To in G4:
@warreneducators
@nbdabrowski
@shiralurie
@littleblueinwv
@travoltage1
@_muggly
@burkhardtphilip
@igrisikogruppe
@jacksojj88
@aegidiusrex

Top Replied-To in G5:
@_2019_ncov
@piochel4
@louan07
@ericairlines1
@nemontanaa
@limousinlibre
@vldkrcan
@55bellechasse
@jgalt485
@nadinezoccola

Top Replied-To in G7:
@kyoutonoinaka
@mikito_777

Top Replied-To in G9:
@jconchac
@ministeriosalud

Top Replied-To in G10:
@deanomartino1
@willsworldview
@adorablepodcast
@michael43081938
@giddy_bunny
@pistonsluvr

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@55bellechasse
@cdcgov
@ministeriosalud
@yvespdb
@alainhoupert
@piochel4
@jeanyvescapo
@jgalt485

Top Mentioned in G1:
@_2019_ncov
@qofficiel
@le__general_0ff
@tronchebiais
@dr_l_alexandre
@centuriesoflies
@55bellechasse
@marcelalann
@oiseauxvert1
@caudehenrion

Top Mentioned in G2:
@vigilantfox
@dowdedward
@iwillfactcheck_
@pawley_robert
@kathmarval
@claushetting
@burgerlab12
@mcfunny
@takethatct
@swaledalemutton

Top Mentioned in G3:
@yvespdb
@55bellechasse
@alainhoupert
@jeanyvescapo
@basphilippe
@jgalt485
@sitting_bull_d
@rrrrgerard
@_2019_ncov
@tvlcampagnol

Top Mentioned in G4:
@cdcgov
@valeriejay16
@minorityhealth
@bag_ofsp_ufsp
@luckytran
@vdhgov
@us_fda
@burkhardtphilip
@myrabatchelder
@flsurgeongen

Top Mentioned in G5:
@_2019_ncov
@piochel4
@55bellechasse
@anticor_org
@agretdenis
@csapeforce
@gaelleml44
@mamanslouves
@_samedi_
@alaindujardin6

Top Mentioned in G6:
@miguelh56857253
@fourthdose

Top Mentioned in G7:
@bar1star
@funwari_fuwari
@kenko_de_nerima
@hiroshi_tsuji
@atsushimiyahara
@konmei30
@ooaminavi
@chibaken_kouhou
@mikito_777
@way2justice2

Top Mentioned in G8:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou
@kashiwacasc
@keyaki1117

Top Mentioned in G9:
@ministeriosalud
@rodolfocarter

Top Mentioned in G10:
@workersutopia
@dirk_fasshauer
@raven4212
@pray2pesci
@felix_cat7
@megafant1
@lemmabarkaloo
@darkcowboygod
@andrewrchapman

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@tomthunkitsmind
@matiere
@toneunga3
@st01_madox
@personalfitnes3
@inquirerdotnet
@sonialavera
@kokusizu2
@limportant_fr

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@bfmtv
@lenine13
@mazenod10
@ladevita12
@le_parisien
@unrollhelper
@lemondefr
@bbcworld

Top Tweeters in G2:
@adevotedyogi
@abcnews
@drhrose
@doritmi
@todomejorqenada
@monstercoyliar
@takethatct
@kpod1952
@mcfunny
@breezergalway

Top Tweeters in G3:
@guardian
@yvespdb
@william85837998
@gerardfiloche
@chriss17031
@soteros1
@piert83
@chambssy
@tns15
@bourgeoiseliane

Top Tweeters in G4:
@katcapps
@lorettabower3
@tyberzannxxxx
@wtf_imtooold
@didifrench
@thinkkimthink
@celestebyrne3
@saffiya_khan1
@drhoctor2
@monitor_ph

Top Tweeters in G5:
@limportant_fr
@altai_armande
@mariabadin18
@bo_chart
@danubaud
@barberis888
@pilotte_daniel
@redragon974
@tuferasface
@veritebeaute

Top Tweeters in G6:
@matiere
@personalfitnes3
@drunkunclep
@didaclopez
@irlandia
@dianestraley
@gate_15_analyst
@bettycjung
@yu2kama
@sherrychiyohime

Top Tweeters in G7:
@st01_madox
@kokusizu2
@caras_1989
@hakofuguf
@otakutokkai
@mark__lp
@fastech360x
@nancy_moon_1789
@nurupo889
@pantyosu

Top Tweeters in G8:
@toneunga3
@shintochigi1
@takayan309
@atsushi48shm410
@tiiduka
@mutoh_z
@takanasiayame
@tsuka_kazunee
@turututukotokot
@tanimoshinden

Top Tweeters in G9:
@siquieresmelees
@janecarvajal
@turkiantof
@ellaresponde
@gonzaloxrojas
@mgarcia318
@negravillana
@pablolabarcac
@carlos67360447
@yoly2944

Top Tweeters in G10:
@thereseosulliv2
@vickie627
@vincegottalotta
@42gnome
@zypisfy
@lemmabarkaloo
@deplorablenew
@cern_lxxl
@fwe1991
@deanomartino1


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