NCoV, Twitter, 3/12/2023 10:43:27 AM, 290966


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NCoV_2023-03-12_03-28-26.xlsx
NCoV_2023-03-12_03-28-26.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 12, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3mPhe7d
@_2019_ncov
@elonmusk
@leelasik
@cdcgov
@ptcjoneses
@nypost
@takeheight
@aubreyel1
@piochel4
@mkheele3

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

Description:
Description
The graph represents a network of 4,709 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1154-day, 12-hour, 0-minute period from Sunday, 12 January 2020 at 12:57 UTC to Sunday, 12 March 2023 at 00:57 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 : 4709
Unique Edges : 5158
Edges With Duplicates : 14950
Total Edges : 20108
Number of Edge Types : 9
MentionsInReplyTo : 7522
MentionsInQuoteReply : 594
Replies to : 2638
Retweet : 2564
MentionsInRetweet : 5206
Mentions : 231
MentionsInQuote : 601
Tweet : 641
Quote : 111
Self-Loops : 1133
Reciprocated Vertex Pair Ratio : 0.048418188003175
Reciprocated Edge Ratio : 0.0923642656283798
Connected Components : 490
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 2621
Maximum Edges in a Connected Component : 14252
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.277007
Graph Density : 0.000417050594380543
Modularity : 0.399839
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,709 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 10:33 UTC.

The tweets in the network were tweeted over the 1154-day, 12-hour, 0-minute period from Sunday, 12 January 2020 at 12:57 UTC to Sunday, 12 March 2023 at 00:57 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:
[405] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[328] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[119] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[107] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[93] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[45] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[39] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[36] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.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://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[4] https://twitter.com/barbouillech/status/1625859344104574976/photo/1
[4] https://twitter.com/dragonduclos/status/1633208954091102208?s=46&t=v20ijNDNvW0g2pzrfoclbw
[3] https://twitter.com/ChomEnterprise/status/1633546025133547526/photo/1
[3] https://www.assemblee-nationale.fr/dyn/15/textes/l15b1118_proposition-loi
[3] https://twitter.com/Pito843/status/1633015960016756736/photo/1
[2] https://twitter.com/_2019_nCoV/status/1634286905431867392/photo/1

Top URLs in Tweet in G2:
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[2] https://www.youtube.com/watch?v=oA5yFD2hhYA&feature=youtu.be

[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/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
[1] https://twitter.com/threadreaderapp/status/1632061868024922112
[1] https://t.me/UkraineHumanRightsAbuses/21439
[1] https://t.me/disclosetv/10730
[1] https://www.globalresearch.ca/washington-out-topple-india-modi/5809241

Top URLs in Tweet in G3:
[11] 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/vaccines/recommendations/pregnancy.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/bivalent-boosters.html
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482696/
[2] https://twitter.com/clubfmphilly/status/1634494002803220482/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html#:~:text=Health%20conditions&text=Some%20people%2C%20especially%20those%20who,kidney%2C%20skin%2C%20and%20brain
[1] https://twitter.com/CDCgov/status/1634273944210493456/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafe.html

Top URLs in Tweet in G4:
[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/vaccines/stay-up-to-date.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/your-health/about-covid-19/antibodies.html
[1] https://www.forbes.com/sites/brucelee/2021/09/05/36-of-those-who-had-covid-19-didnt-develop-antibodies-study-says/?sh=6ae72a5c5f60
[1] https://wwwnc.cdc.gov/eid/article/27/9/21-1042_article
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html

Top URLs in Tweet in G5:
[12] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[8] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[5] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/testing/self-testing.html?utm_source=TWITTER
[4] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://twitter.com/blurmyu/status/1634513785263357952/photo/1
[4] https://twitter.com/blurmyu/status/1632321414941507584/photo/1

Top URLs in Tweet in G6:
[328] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[88] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[21] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.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
[2] https://www.city.suginami.tokyo.jp/news/kansensho/covid-19/vaccine/kodomo/index.html

Top URLs in Tweet in G7:
[400] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[114] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[105] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[15] https://twitter.com/hiroshima_pref/status/1633018395603120128/photo/1
[10] 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/1634452409849356288/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1631562117592784897/photo/1
[1] https://twitter.com/Ibaraki_Kouhou/status/1631186065276162048/photo/1

Top URLs in Tweet in G8:
[17] 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/1634554770529632256/photo/1
[1] https://twitter.com/ministeriosalud/status/1630568855201361921/photo/1
[1] https://twitter.com/ministeriosalud/status/1629481360816472064/photo/1
[1] https://twitter.com/ministeriosalud/status/1630931104101289986/photo/1
[1] https://twitter.com/ministeriosalud/status/1631655584633159682/photo/1
[1] https://twitter.com/ministeriosalud/status/1629843849735544834/photo/1
[1] https://twitter.com/ministeriosalud/status/1629119145206861825/photo/1
[1] https://twitter.com/ministeriosalud/status/1632773038960697344/video/1

Top URLs in Tweet in G9:
[40] https://newspunch.com/germany-declares-mrna-jabs-are-deadliest-vaccines-in-history/
[4] https://twitter.com/NaraShi13876794/status/1537914796019855361/photo/1
[2] https://twitter.com/NaraShi13876794/status/1537417825035464704
[2] https://twitter.com/NaraShi13876794/status/1509663560590557186/video/1
[2] https://twitter.com/CetiCov19/status/1633248636229304320/photo/1
[2] https://twitter.com/webjournaux/status/1634508034452987905/photo/1
[1] https://pharmafiles.substack.com/p/did-the-shit-just-hit-the-fan-in
[1] https://newspunch.com/bill-gates-arrest-warrant-issued-in-philippines-for-premeditated-murder-linked-to-vaccine-roll-out/
[1] https://twitter.com/JulienM__/status/1601937037501861889/video/1
[1] https://twitter.com/Louan07/status/1631970064940277760/photo/1

Top URLs in Tweet in G10:
[2] https://www.cdc.gov/coronavirus/2019-ncov/downloads/global-covid-19/Interim-Operational-Considerations-Implementing-Shielding-in-Humanitarian-Settings.pdf
[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
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://twitter.com/nukakdad/status/1632195748434690049
[1] https://health.mo.gov/lab/ncov-sequencing.php

Top Domains
Top Domains in Tweet in Entire Graph:
[1349] twitter.com
[715] cdc.gov
[424] ibaraki.jp
[274] lg.jp
[77] recombinomics.co
[64] tokyo.jp
[46] newspunch.com
[43] who.int
[37] go.jp
[34] youtube.com

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

Top Domains in Tweet in G2:
[90] twitter.com
[5] youtube.com
[4] t.me
[4] crashdebug.fr
[3] threadreaderapp.com
[2] bonsens.info
[2] cdc.gov
[1] globalresearch.ca
[1] thegatewaypundit.com
[1] substack.com

Top Domains in Tweet in G3:
[45] cdc.gov
[39] twitter.com
[2] nih.gov
[1] youtube.com
[1] reuters.com
[1] audacy.com
[1] bvsalud.org
[1] who.int

Top Domains in Tweet in G4:
[18] cdc.gov
[12] twitter.com
[3] pnas.org
[3] biorxiv.org
[3] com.au
[2] nih.gov
[1] forbes.com
[1] bbc.com
[1] apnews.com
[1] publichealthontario.ca

Top Domains in Tweet in G5:
[119] twitter.com
[96] cdc.gov
[77] recombinomics.co
[15] go.jp
[13] ibaraki.jp
[12] lg.jp
[7] co.jp
[6] docguide.com
[6] nytimes.com
[5] nih.gov

Top Domains in Tweet in G6:
[353] twitter.com
[115] cdc.gov
[51] tokyo.jp
[21] lg.jp
[3] go.jp
[2] or.jp

Top Domains in Tweet in G7:
[411] ibaraki.jp
[220] lg.jp
[35] twitter.com
[7] catapoke.com
[1] cdc.gov

Top Domains in Tweet in G8:
[19] twitter.com
[17] minsal.cl
[2] publichealthontario.ca

Top Domains in Tweet in G9:
[41] newspunch.com
[22] twitter.com
[3] translate.goog
[1] substack.com
[1] francesoir.fr
[1] bvsalud.org
[1] nih.gov
[1] gouv.fr
[1] gds.it
[1] expose-news.com

Top Domains in Tweet in G10:
[4] cdc.gov
[1] twitter.com
[1] mo.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[399] 新型コロナウイルス感染症情報
[322] covid_19
[310] covid19
[29] covid
[23] 新型コロナ
[23] coronavirus
[22] 広島県
[21] 練馬区
[18] 코로나19
[18] 예방접종



Top Hashtags in Tweet in G1:
[4] pfizer
[3] gardasil
[3] donbass
[3] blackblocs
[3] soignants
[2] covid19
[2] merck
[2] stefanov
[2] covid_19
[2] minsk

Top Hashtags in Tweet in G2:
[12] pasnotreeurope
[3] boycottpalaisdetokyo
[1] zelenskiwarcriminal
[1] macrondegage
[1] macronletraitre
[1] macronlahonte
[1] société
[1] buzyn
[1] covid

Top Hashtags in Tweet in G3:
[261] covid19
[8] dyk
[8] covid
[4] longcovid
[2] deltavariant
[1] impfung

Top Hashtags in Tweet in G4:
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet
[1] covid19
[1] plasmidgate
[1] covid
[1] vaccine

Top Hashtags in Tweet in G5:
[25] covid19
[9] covid
[8] cdc
[4] longcovid
[3] valneva
[3] vla2001
[2] 疫情防控
[2] 流感
[2] vaccines
[2] coronavirus

Top Hashtags in Tweet in G6:
[21] 練馬区
[10] 千葉県庁

Top Hashtags in Tweet in G7:
[399] 新型コロナウイルス感染症情報
[23] 新型コロナ
[22] 広島県
[1] 茨城県

Top Hashtags in Tweet in G8:
[316] covid_19
[1] seguimoscuidándonos
[1] yomevacuno

Top Hashtags in Tweet in G10:
[2] cdc
[2] fema
[2] covid
[2] camps

Top Words
Top Words in Tweet in Entire Graph:
[1797] _2019_ncov
[1083] covid
[631] casos
[615] co
[473] 19
[399] 現在の入院者数
[399] 検査前で症状がある方
[399] qnzux8c1z3
[399] 本日の新規陽性者数
[399] 本日の死亡者

Top Words in Tweet in G1:
[1437] _2019_ncov
[235] c'est
[191] ce
[162] ils
[152] plus
[150] ça
[136] sont
[129] mais
[122] tout
[116] par

Top Words in Tweet in G2:
[271] _2019_ncov
[216] 55bellechasse
[190] yvespdb
[141] jgalt485
[139] piochel4
[99] jeanyvescapo
[90] basphilippe
[89] alainhoupert
[87] tvlcampagnol
[86] mamanslouves

Top Words in Tweet in G3:
[319] covid
[278] cdcgov
[261] #covid19
[209] people
[146] long
[142] conditions
[138] infection
[136] pcc
[136] anyone
[134] experience

Top Words in Tweet in G4:
[13] virus
[13] isolation
[11] claushetting
[10] pawley_robert
[10] kathmarval
[9] mcfunny
[9] takethatct
[8] cbeckj
[8] covid
[8] burgerlab12

Top Words in Tweet in G5:
[185] covid
[132] ncov
[118] 2019
[94] 19
[85] 1人
[82] cases
[77] increase
[77] inc
[77] recombinomics
[73] deaths

Top Words in Tweet in G6:
[82] 個人の生活の中では柔軟に対応しましょう
[82] 対策の原則は正しく理解して認め
[82] きちんとすべき時にはして
[82] ということだと個人的には理解しています
[81] bar1star
[38] 練馬区
[38] 土
[36] 11
[34] 集団接種
[31] 本日

Top Words in Tweet in G7:
[530] co
[399] 検査前で症状がある方
[399] 本日の新規陽性者数
[399] 現在の入院者数
[399] 本日の死亡者
[399] qnzux8c1z3
[399] うち重症者
[399] 詳細
[399] #新型コロナウイルス感染症情報
[389] ibaraki_kouhou

Top Words in Tweet in G8:
[630] casos
[316] informe
[316] #covid_19
[315] activos
[315] diario
[315] nuevos
[315] 64
[314] registrados
[314] fallecidos
[308] marzo

Top Words in Tweet in G9:
[71] tout
[62] _2019_ncov
[46] jaimehorta17
[46] julienm__
[45] louan07
[44] plus
[42] sont
[40] injections
[40] vaccins
[40] d'arnm

Top Words in Tweet in G10:
[6] vincegottalotta
[6] chuckychuckles1
[6] againmothra
[6] royqhobbs
[6] tip_ct
[6] synyster63
[5] godslightangel7
[5] 8brianvogel4
[5] dirk_fasshauer
[5] lukeso20

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

Top Word Pairs in Tweet in G1:
[39] _2019_ncov,qofficiel
[37] _2019_ncov,c'est
[31] ils,sont
[28] 55bellechasse,utile
[28] merci,_2019_ncov
[28] utile,merci
[25] _2019_ncov,ils
[22] _2019_ncov,oui
[22] peut,être
[22] eatcatalf,_2019_ncov

Top Word Pairs in Tweet in G2:
[88] alainhoupert,jeanyvescapo
[88] basphilippe,yvespdb
[86] jeanyvescapo,tvlcampagnol
[76] tvlcampagnol,verity_france
[76] 55bellechasse,basphilippe
[75] yvespdb,alainhoupert
[74] rrrrgerard,55bellechasse
[73] verity_france,jgalt485
[66] anticor_org,csapeforce
[58] mamanslouves,gaelleml44

Top Word Pairs in Tweet in G3:
[145] long,covid
[141] 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 G4:
[6] sars,cov
[6] isolation,first
[6] patient,isolation
[5] hodlchicken,claushetting
[4] incytometry,carrotsandpars1
[4] amber84280581,nathanaelyoung
[4] chris_f_carson,mrti63257722
[4] twococonuthusks,cappsie
[4] zeviax3,leelasik
[4] ssz1967,all_knowing_bio

Top Word Pairs in Tweet in G5:
[112] 2019,ncov
[84] covid,19
[77] cases,increase
[77] recombinomics,inc
[77] ncov,recombinomics
[76] covid,cases
[15] learn,more
[15] coronavirus,2019
[13] deaths,13
[11] sars,cov

Top Word Pairs in Tweet in G6:
[82] 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
[82] 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
[82] 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
[81] bar1star,対策の原則は正しく理解して認め
[36] 11,土
[31] 本日のコロナワクチン接種会場,本日
[27] cdcの妊婦におけるコロナワクチン接種に関するページ,妊娠中のコロナワクチン接種は安全で有効
[27] 妊娠中のコロナワクチン接種は安全で有効,コロナワクチン接種は男女ともに不妊に影響しない
[27] 予約なしでも接種できます,詳しくは
[26] mph_for_doctors,cdcの妊婦におけるコロナワクチン接種に関するページ

Top Word Pairs in Tweet in G7:
[399] qnzux8c1z3,検査前で症状がある方
[399] 詳細,co
[399] co,qnzux8c1z3
[389] ibaraki_kouhou,#新型コロナウイルス感染症情報
[240] うち重症者,2名
[240] 2名,本日の死亡者
[233] 検査前で症状がある方,検査で陽性と判
[163] 0名,詳細
[163] 本日の死亡者,0名
[159] うち重症者,1名

Top Word Pairs in Tweet in G8:
[315] casos,activos
[315] diario,#covid_19
[315] informe,diario
[315] casos,nuevos
[314] registrados,64
[314] fallecidos,registrados
[298] ministeriosalud,informe
[236] #covid_19,marzo
[117] activos,fallecidos
[81] 12,fallecidos

Top Word Pairs in Tweet in G9:
[40] déclare,injections
[40] vaccins,plus
[40] sont,vaccins
[40] l'allemagne,déclare
[40] d'arnm,sont
[40] injections,d'arnm
[40] plus,meurtriers
[40] meurtriers,l'histoire
[39] julienm__,l'allemagne
[35] tout,monde

Top Word Pairs in Tweet in G10:
[4] soulnature9,juliemu36442360
[4] realkyleewright,natural_femme
[4] originalgoalie,ghost_of_tick
[4] skeeduu,dirk_fasshauer
[4] woodcutterbrian,resistenzanow
[4] fwe1991,realkyleewright
[4] ghost_of_tick,fwe1991
[4] 42gnome,flattielover
[4] natural_femme,soulnature9
[4] littlwritergir1,roylovesamerica

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

Top Replied-To in G1:
@_2019_ncov
@eatcatalf
@5glinky
@jgalt485
@ludovicodiot
@marilynnemeur
@verity_france
@theavnersolal
@55bellechasse
@le__general_0ff

Top Replied-To in G2:
@_2019_ncov
@piochel4
@yvespdb
@sitting_bull_d
@55bellechasse
@jgalt485
@rrrrgerard
@don_quichoute
@ericairlines1
@crashdebug_fr

Top Replied-To in G3:
@fredtopel
@warreneducators
@nbdabrowski
@cdcgov
@myrabatchelder
@shiralurie
@littleblueinwv
@travoltage1
@igrisikogruppe
@_muggly

Top Replied-To in G4:
@kithercbaby
@tierrahenson
@0800_ksmy_ass
@paulhud32059570
@hodlchicken
@claushetting
@hackthistweet
@giveabjgotojail
@nicolas_gaboury

Top Replied-To in G6:
@kyoutonoinaka
@mikito_777

Top Replied-To in G8:
@ministeriosalud
@jconchac

Top Replied-To in G9:
@_2019_ncov
@louan07
@julienm__
@b4rb3bl4ch3
@beauntel
@thefigen_
@cartesyvet
@micheljeandomi1
@gabinjean3
@ceticov19

Top Replied-To in G10:
@pistonsluvr
@giddy_bunny
@dirk_fasshauer
@skeeduu
@izmks44
@educatingtrump2
@pepethebaker
@jonrfleming

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

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

Top Mentioned in G2:
@_2019_ncov
@55bellechasse
@yvespdb
@jgalt485
@piochel4
@jeanyvescapo
@alainhoupert
@tvlcampagnol
@basphilippe
@mamanslouves

Top Mentioned in G3:
@cdcgov
@valeriejay16
@minorityhealth
@bag_ofsp_ufsp
@vdhgov
@burkhardtphilip
@meetjess
@luckytran
@us_fda
@repthomasmassie

Top Mentioned in G4:
@pawley_robert
@kathmarval
@takethatct
@claushetting
@burgerlab12
@mcfunny
@rw_christian
@cbeckj
@ryanbeed

Top Mentioned in G5:
@fourthdose
@miguelh56857253

Top Mentioned in G6:
@bar1star
@funwari_fuwari
@mph_for_doctors
@kenko_de_nerima
@atsushimiyahara
@konmei30
@ooaminavi
@mikito_777
@way2justice2
@tamuramaro_0630

Top Mentioned in G7:
@ibaraki_kouhou
@hiroshima_pref
@chibaken_kouhou
@kashiwacasc
@keyaki1117

Top Mentioned in G8:
@ministeriosalud
@rodolfocarter

Top Mentioned in G9:
@jaimehorta17
@julienm__
@louan07
@_2019_ncov
@ernestociesco
@rasekrasek
@assocovid
@nova153
@zyrs10
@borowskimike

Top Mentioned in G10:
@vincegottalotta
@chuckychuckles1
@synyster63
@royqhobbs
@tip_ct
@againmothra
@deplorablenew
@godslightangel7
@treathunterdog
@ksliberal

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

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@bfmtv
@lenine13
@mazenod10
@ladevita12
@le_parisien
@unrollhelper
@barberis888
@lemondefr

Top Tweeters in G2:
@limportant_fr
@altai_armande
@mariabadin18
@bo_chart
@yvespdb
@danubaud
@talullabellefle
@william85837998
@pilotte_daniel
@jaguard22222

Top Tweeters in G3:
@katcapps
@lorettabower3
@tyberzannxxxx
@wtf_imtooold
@didifrench
@thinkkimthink
@celestebyrne3
@saffiya_khan1
@drhoctor2
@monitor_ph

Top Tweeters in G4:
@adevotedyogi
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@benzosarebad
@breezergalway
@wjack76995
@angryfleas
@healthcareglob1

Top Tweeters in G5:
@matiere
@personalfitnes3
@npsusa
@drunkunclep
@didaclopez
@irlandia
@gate_15_analyst
@bettycjung
@yu2kama
@sherrychiyohime

Top Tweeters in G6:
@st01_madox
@kokusizu2
@caras_1989
@hakofuguf
@otakutokkai
@mark__lp
@d2n5q4gciztsa2e
@fastech360x
@nancy_moon_1789
@nurupo889

Top Tweeters in G7:
@toneunga3
@shintochigi1
@takayan309
@atsushi48shm410
@mutoh_z
@moriai8
@takanasiayame
@tsuka_kazunee
@turututukotokot
@tanimoshinden

Top Tweeters in G8:
@siquieresmelees
@turkiantof
@laporres
@gonzaloxrojas
@mgarcia318
@negravillana
@pablolabarcac
@jedomm
@carlos67360447
@yoly2944

Top Tweeters in G9:
@franckylarafale
@nova153
@webjournaux
@xavier40700514
@maeleamanche
@planetes360
@rasekrasek
@clovischmartel
@manoudu19
@winteroakpress

Top Tweeters in G10:
@thereseosulliv2
@vickie627
@silverkait
@vincegottalotta
@ladyoftheocean1
@kleeontheright
@42gnome
@middlemolly
@deplorablenew
@fwe1991