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


FAQ | Problem?

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


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.