NCoV, Twitter, 3/15/2023 8:58:06 AM, 291234


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NCoV_2023-03-15_01-44-01.xlsx
NCoV_2023-03-15_01-44-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 15, 2023
Short Description:
NCoV via NodeXL https://bit.ly/3JHUbnO
@_2019_ncov
@cdcgov
@nypost
@aubreyel1
@doritmi
@stevebigpond
@who
@lawrencegostin
@mcfunny
@iamgoingtosleep

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

Description:
Description
The graph represents a network of 4,603 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 08:49 UTC.

The tweets in the network were tweeted over the 1157-day, 11-hour, 2-minute period from Sunday, 12 January 2020 at 12:57 UTC to Tuesday, 14 March 2023 at 23:59 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 : 4603
Unique Edges : 4575
Edges With Duplicates : 15295
Total Edges : 19870
Number of Edge Types : 9
MentionsInReplyTo : 7478
MentionsInQuoteReply : 644
Replies to : 2739
Retweet : 2541
MentionsInRetweet : 5202
Mentions : 188
Quote : 116
Tweet : 559
MentionsInQuote : 403
Self-Loops : 1029
Reciprocated Vertex Pair Ratio : 0.0425032288364448
Reciprocated Edge Ratio : 0.0815407140443744
Connected Components : 427
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 2673
Maximum Edges in a Connected Component : 14742
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.747248
Graph Density : 0.00041915675235139
Modularity : 0.375906
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,603 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 08:49 UTC.

The tweets in the network were tweeted over the 1157-day, 11-hour, 2-minute period from Sunday, 12 January 2020 at 12:57 UTC to Tuesday, 14 March 2023 at 23:59 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:
[332] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[321] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[102] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[89] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[83] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[27] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[24] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[23] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html
[22] https://ncov.kdca.go.kr/
[20] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html

Top URLs in Tweet in G1:
[17] https://twitter.com/Louan07/status/1634844626778718210/video/1
[15] https://twitter.com/sispeo77/status/1633565619369959424/photo/1
[8] https://twitter.com/ChomEnterprise/status/1634968727518314497/photo/1
[7] https://twitter.com/marcelalann/status/1634268776488226827/photo/1
[5] https://twitter.com/scribot_ai/status/1635558160415989760/video/1
[5] https://twitter.com/caimsteff1/status/1633469091397656578
[4] https://twitter.com/scribot_ai/status/1634949262898331650/video/1
[4] https://twitter.com/scribot_ai/status/1634986149625118721/video/1
[4] https://twitter.com/NaraShi13876794/status/1537914796019855361/photo/1
[4] https://twitter.com/CEMizback/status/1635568837968945152/photo/1

Top URLs in Tweet in G2:
[3] https://threadreaderapp.com/thread/1633401824924295169.html
[3] https://threadreaderapp.com/thread/1634470350036647936.html
[2] https://twitter.com/PR93095542/status/1581679610882068481/photo/1
[2] https://twitter.com/claude_le_moal/status/1634570125201358849/photo/1
[2] https://twitter.com/marloubordo/status/1634901659242446848/photo/1
[1] https://twitter.com/_2019_nCoV/status/1634470350036647936
[1] https://twitter.com/threadreaderapp/status/1635588134472695808
[1] https://twitter.com/BPartisans/status/1633749164898017280?s=20
[1] https://twitter.com/jgalt485/status/1633882270565294080/video/1
[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 G3:
[11] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/variants/spheres.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.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://twitter.com/CCTHD4/status/1635303592818008064/photo/1
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482696/
[2] https://twitter.com/clubfmphilly/status/1634494002803220482/photo/1

Top URLs in Tweet in G4:
[315] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[83] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html#suii
[17] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/wakuchin.html
[13] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html
[11] https://twitter.com/funwari_fuwari/status/1633324053531611142
[8] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[7] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[5] https://www.city.imabari.ehime.jp/2019-nCoV/wakuchin/child/R04aki.html
[5] https://twitter.com/konmei30/status/1635229544369225728/photo/1
[4] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/5-11.html#cms09A35

Top URLs in Tweet in G5:
[2] https://twitter.com/foofu/status/1633917689361055745/photo/1
[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://pubmed.ncbi.nlm.nih.gov/32350462/
[1] https://twitter.com/kithercbaby/status/1634623456083083269/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/fully-vaccinated-people.html
[1] https://twitter.com/kithercbaby/status/1634613545500545024/photo/1
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[1] https://twitter.com/ptcjoneses/status/1634188077429137409/photo/1

Top URLs in Tweet in G6:
[7] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/
[1] https://twitter.com/ministeriosalud/status/1635643315142967299/photo/1
[1] https://twitter.com/ministeriosalud/status/1633470113042006018/photo/1
[1] https://twitter.com/ministeriosalud/status/1633831155048017924/photo/1
[1] https://twitter.com/ministeriosalud/status/1634196702763556865/photo/1
[1] https://twitter.com/ministeriosalud/status/1634554770529632256/photo/1
[1] https://twitter.com/ministeriosalud/status/1634917158454165507/photo/1
[1] https://twitter.com/ministeriosalud/status/1635325538305974274/photo/1

Top URLs in Tweet in G7:
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[6] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[4] https://www.niid.go.jp/niid/ja/2019-ncov/11845-covid19-ab118th.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[4] https://twitter.com/RichmondCity_HD/status/1634268971540140041/photo/1
[4] https://twitter.com/RichmondCity_HD/status/1634269719216771080/photo/1
[4] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://twitter.com/blurmyu/status/1635612479551328258/photo/1
[4] https://twitter.com/blurmyu/status/1634156881160667137/photo/1

Top URLs in Tweet in G8:
[4] https://twitter.com/Jena71425143/status/1633791041118564354/photo/1
[2] https://www.youtube.com/watch?v=oA5yFD2hhYA&feature=youtu.be

[1] https://twitter.com/FRNCKT/status/1634444587065561090
[1] https://twitter.com/SpartaJustice/status/1633210206262894592
[1] https://twitter.com/CerfiaFR/status/1633848867849650177
[1] https://twitter.com/danubaud/status/1633791417150578689
[1] https://twitter.com/EL_PatatorFR/status/1634256339068133376
[1] https://twitter.com/vl_plus/status/1633337515510775809
[1] https://twitter.com/SarahHRakM/status/1633580509564370944
[1] https://twitter.com/framboise_18/status/1633192130435850240

Top URLs in Tweet in G9:
[324] https://twitter.com/bar1star/status/1634338505613807616/photo/1
[96] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[23] https://www3.nhk.or.jp/news/html/20230308/amp/k10014001231000.html
[2] https://twitter.com/Hiroshi_Tsuji/status/1633592971106082817/photo/1
[1] https://www3.nhk.or.jp/news/html/20230308/k10014001231000.html

Top URLs in Tweet in G10:
[10] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[10] https://www.science.org/doi/10.1126/science.abm4454
[3] https://twitter.com/KeithEv84928885/status/1528351193998696450/photo/1
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[2] https://harvardtothebighouse.com/2020/01/31/logistical-and-technical-analysis-of-the-origins-of-the-wuhan-coronavirus-2019-ncov/
[2] https://virological.org/t/ncov-2019-spike-protein-receptor-binding-domain-shares-high-amino-acid-identity-with-a-coronavirus-recovered-from-a-pangolin-viral-metagenomic-dataset/362
[2] https://twitter.com/CharlesRixey/status/1503243988270202881/photo/1
[1] https://www.researchgate.net/profile/Hitesh-Chopra-4/publication/368937746_AZD1222_ChAdOx1_nCoV-19_Vaccine_Hurdles_and_Visions/links/64016f060cf1030a5669d5cf/AZD1222-ChAdOx1-nCoV-19-Vaccine-Hurdles-and-Visions.pdf
[1] https://twitter.com/sanchak74/status/1634070773047459840/photo/1
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324311/

Top Domains
Top Domains in Tweet in Entire Graph:
[1389] twitter.com
[560] cdc.gov
[336] ibaraki.jp
[205] lg.jp
[57] recombinomics.co
[46] who.int
[46] tokyo.jp
[44] nih.gov
[34] go.jp
[34] gob.es

Top Domains in Tweet in G1:
[370] twitter.com
[14] youtube.com
[4] touscontribuables.org
[4] pgibertie.com
[3] translate.goog
[3] assemblee-nationale.fr
[2] theepochtimes.com
[2] francetvinfo.fr
[2] nouvelobs.com
[2] prismamedia.com

Top Domains in Tweet in G2:
[61] twitter.com
[15] threadreaderapp.com
[6] crashdebug.fr
[4] youtube.com
[2] t.me
[2] bonsens.info
[2] lecourrierdesstrateges.fr
[1] substack.com
[1] gov.it
[1] cdc.gov

Top Domains in Tweet in G3:
[44] cdc.gov
[33] twitter.com
[2] nih.gov
[1] wired.com
[1] bvsalud.org
[1] who.int

Top Domains in Tweet in G4:
[324] ibaraki.jp
[99] lg.jp
[52] twitter.com
[39] tokyo.jp
[5] ehime.jp
[2] cdc.gov

Top Domains in Tweet in G5:
[11] twitter.com
[4] cdc.gov
[1] forbes.com
[1] nih.gov
[1] bbc.com
[1] vnanet.vn
[1] archive.org
[1] substack.com
[1] biorxiv.org
[1] elifesciences.org

Top Domains in Tweet in G6:
[7] minsal.cl
[7] twitter.com

Top Domains in Tweet in G7:
[104] twitter.com
[81] cdc.gov
[57] recombinomics.co
[15] go.jp
[12] ibaraki.jp
[11] lg.jp
[7] co.jp
[6] nytimes.com
[5] docguide.com
[4] who.int

Top Domains in Tweet in G8:
[30] twitter.com
[2] youtube.com
[1] caisse-solidarite.fr
[1] leparisien.fr
[1] profidecatholica.com
[1] pas-notre-europe.eu

Top Domains in Tweet in G9:
[326] twitter.com
[96] cdc.gov
[24] or.jp

Top Domains in Tweet in G10:
[31] twitter.com
[10] who.int
[10] science.org
[2] researchgate.net
[2] cdc.gov
[2] harvardtothebighouse.com
[2] weebly.com
[2] virological.org
[1] nih.gov
[1] substack.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[313] 新型コロナウイルス感染症情報
[308] covid_19
[181] covid19
[146] alexandre
[22] coronavirus
[21] covid
[18] 코로나19
[18] 예방접종
[18] 기초접종
[17] 練馬区



Top Hashtags in Tweet in G1:
[6] alexandre
[5] covid_19
[4] reformedesretraites
[3] gardasil
[3] kiev
[3] davosagenda
[3] donbass
[3] déconstruction
[3] soignants
[3] zelensky

Top Hashtags in Tweet in G2:
[136] alexandre
[1] zelenskiwarcriminal
[1] pfizer
[1] henrion
[1] alexandra
[1] retailleau
[1] chapeau
[1] malgréeux

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

Top Hashtags in Tweet in G4:
[313] 新型コロナウイルス感染症情報
[17] 練馬区
[10] 千葉県庁
[5] ワクチン予約情報
[2] 茨城県
[2] 新型コロナ

Top Hashtags in Tweet in G5:
[1] unlikely
[1] windowsxpantivirus
[1] stuxnet
[1] covid19
[1] plasmidgate
[1] australia
[1] pfizer
[1] covidvaccines

Top Hashtags in Tweet in G6:
[295] covid_19

Top Hashtags in Tweet in G7:
[22] covid19
[6] cdc
[3] 疫情防控
[3] 流感
[3] valneva
[3] vla2001
[3] longcovid
[3] covid
[3] mrna
[2] sleeveup

Top Hashtags in Tweet in G8:
[14] pasnotreeurope
[3] alexandre
[1] boycottpalaisdetokyo
[1] covid

Top Hashtags in Tweet in G10:
[3] pangolin
[2] ncov_2019
[1] recombinant
[1] cov
[1] rbd
[1] bat
[1] cov_ratg13

Top Words
Top Words in Tweet in Entire Graph:
[2305] _2019_ncov
[701] covid
[656] casos
[502] co
[417] 19
[364] yvespdb
[352] 0名
[317] ncov
[316] ce
[315] 詳細

Top Words in Tweet in G1:
[1776] _2019_ncov
[272] c'est
[252] ce
[195] ils
[178] plus
[164] mais
[152] ça
[150] sont
[144] par
[116] comme

Top Words in Tweet in G2:
[340] _2019_ncov
[328] yvespdb
[160] 55bellechasse
[143] basphilippe
[142] alainhoupert
[142] jeanyvescapo
[141] ses
[140] cet
[138] sitting_bull_d
[137] immonde

Top Words in Tweet in G3:
[285] cdcgov
[188] covid
[154] long
[147] include
[145] symptoms
[144] common
[143] fatigue
[143] shortness
[143] brain
[143] passed

Top Words in Tweet in G4:
[352] 0名
[330] co
[313] 詳細
[313] 現在の入院者数
[313] 本日の死亡者
[313] 本日の新規陽性者数
[313] qnzux8c1z3
[313] うち重症者
[313] #新型コロナウイルス感染症情報
[305] ibaraki_kouhou

Top Words in Tweet in G5:
[8] pawley_robert
[8] kathmarval
[7] mcfunny
[6] still
[6] burgerlab12
[6] takethatct
[6] amber84280581
[6] rw_christian
[5] more
[5] ncov

Top Words in Tweet in G6:
[590] casos
[295] fallecidos
[295] activos
[295] nuevos
[295] registrados
[295] 64
[295] #covid_19
[295] informe
[295] diario
[295] marzo

Top Words in Tweet in G7:
[154] covid
[105] ncov
[98] 2019
[80] 19
[70] 1人
[60] cases
[57] increase
[57] inc
[57] recombinomics
[55] deaths

Top Words in Tweet in G8:
[129] _2019_ncov
[112] piochel4
[65] 55bellechasse
[63] anticor_org
[60] csapeforce
[59] agretdenis
[55] _samedi_
[50] alaindujardin6
[46] ad_vitam44_
[42] mamanslouves

Top Words in Tweet in G9:
[81] ということだと個人的には理解しています
[81] きちんとすべき時にはして
[81] 対策の原則は正しく理解して認め
[81] 個人の生活の中では柔軟に対応しましょう
[80] bar1star
[46] 検査
[24] co
[23] 5つの基本
[23] 米国は無料で抗原検査や治療続けてる
[23] 5類

Top Words in Tweet in G10:
[29] dec
[27] 12
[20] 26
[20] paper
[20] jan
[19] notified
[18] timeline
[18] genome
[18] coronavirus
[17] days

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[313] 詳細,co
[313] co,qnzux8c1z3
[305] ibaraki_kouhou,#新型コロナウイルス感染症情報
[295] informe,diario
[295] casos,activos
[295] registrados,64
[295] diario,#covid_19
[295] casos,nuevos
[295] fallecidos,registrados
[288] ministeriosalud,informe

Top Word Pairs in Tweet in G1:
[52] _2019_ncov,jrmesari1
[52] jrmesari1,tronchebiais
[44] _2019_ncov,tronchebiais
[43] maccledou,_2019_ncov
[42] _2019_ncov,c'est
[35] centuriesoflies,_2019_ncov
[32] ils,sont
[31] 55bellechasse,utile
[31] _2019_ncov,qofficiel
[31] merci,_2019_ncov

Top Word Pairs in Tweet in G2:
[150] yvespdb,_2019_ncov
[139] basphilippe,yvespdb
[137] _2019_ncov,cet
[136] #alexandre,immonde
[136] vite,exorciste
[136] ignorance,vite
[136] démoniaque,fausseté
[136] immonde,démoniaque
[136] exorciste,ses
[136] fausseté,ignorance

Top Word Pairs in Tweet in G3:
[153] long,covid
[143] brain,fog
[143] common,symptoms
[143] weeks,passed
[143] shortness,breath
[143] include,fatigue
[143] fog,several
[143] symptoms,long
[143] heartbeat,brain
[143] fatigue,shortness

Top Word Pairs in Tweet in G4:
[313] 詳細,co
[313] co,qnzux8c1z3
[305] ibaraki_kouhou,#新型コロナウイルス感染症情報
[261] qnzux8c1z3,検査前で症状がある方
[256] 0名,詳細
[256] 本日の死亡者,0名
[211] うち重症者,1名
[211] 1名,本日の死亡者
[153] 検査前で症状がある方,検査で陽性と判
[102] 87名,うち重症者

Top Word Pairs in Tweet in G5:
[4] rw_christian,villagerssn
[4] kathmarval,chris_f_carson
[4] groin_hammer,jcdeardeuff
[4] buzzkent1776,twococonuthusks
[4] bebert701,andylumm
[4] chris_f_carson,mrti63257722
[4] jcdeardeuff,burgerlab12
[4] mrti63257722,tracymmpohill
[4] swaledalemutton,craig12940777
[4] amber84280581,swaledalemutton

Top Word Pairs in Tweet in G6:
[295] diario,#covid_19
[295] informe,diario
[295] casos,activos
[295] fallecidos,registrados
[295] registrados,64
[295] casos,nuevos
[288] ministeriosalud,informe
[95] #covid_19,marzo
[92] activos,12
[92] 12,fallecidos

Top Word Pairs in Tweet in G7:
[91] 2019,ncov
[75] covid,19
[58] covid,cases
[57] recombinomics,inc
[57] cases,increase
[57] ncov,recombinomics
[13] learn,more
[10] deaths,13
[10] coronavirus,2019
[8] 19,vaccines

Top Word Pairs in Tweet in G8:
[57] 55bellechasse,_2019_ncov
[56] anticor_org,csapeforce
[54] _2019_ncov,_samedi_
[46] _samedi_,ad_vitam44_
[38] mamanslouves,gaelleml44
[34] al_petel,alaindujardin6
[27] gaelleml44,anticor_org
[27] agretdenis,_2019_ncov
[27] csapeforce,agretdenis
[26] andreabescond,mamanslouves

Top Word Pairs in Tweet in G9:
[81] 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
[81] 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] 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
[80] bar1star,対策の原則は正しく理解して認め
[23] 5類,変更後の感染対策に
[23] 新型コロナ,5類
[23] co,yuflmatvzr
[23] 2023年3月8日,co
[23] 専門家会合,2023年3月8日
[23] 米国は無料で抗原検査や治療続けてる,日本はワクチン

Top Word Pairs in Tweet in G10:
[11] 31,mystery
[11] dec,31
[11] mystery,pneumonia
[11] china,notified
[11] notified,dec
[10] bangladeshi,doctors
[10] january,12
[10] 12,days
[10] mentioned,once
[10] housemaid's,knee

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@maccledou
@centuriesoflies
@eatcatalf
@5glinky
@jrmesari1
@louan07
@sitting_bull_d
@christ24intern1
@yvespdb

Top Replied-To in G1:
@_2019_ncov
@maccledou
@centuriesoflies
@eatcatalf
@5glinky
@jrmesari1
@louan07
@lrestistant73
@nova153
@zippojeje

Top Replied-To in G2:
@_2019_ncov
@sitting_bull_d
@christ24intern1
@yvespdb
@jgalt485
@55bellechasse
@rrrrgerard
@partageinfos
@crashdebug_fr
@basphilippe

Top Replied-To in G3:
@danaparish
@kevinha63905012
@paulbetbest
@dokhollidays
@anonykatz2210
@kenneth33071904
@dancalegria
@oopseedaisy123
@igrisikogruppe
@_muggly

Top Replied-To in G5:
@kithercbaby
@tierrahenson
@0800_ksmy_ass
@a_nineties
@hackthistweet
@mcfunny
@humble_analysis
@imkatiern
@zee_parody
@real_ggoswami

Top Replied-To in G8:
@_2019_ncov
@qo_ideme6
@piochel4
@limousinlibre
@nadinezoccola
@agretdenis
@annabellesamou
@souverainistebx
@ducrocq58578460

Top Replied-To in G10:
@r_h_ebright
@therealrthorat
@robertc26440604
@flodebarre
@peter_berghmans
@biophysicsfl
@dr_handler
@romulus81212679
@gglinskii
@tonyhinton2016

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

Top Mentioned in G1:
@_2019_ncov
@tronchebiais
@jrmesari1
@louan07
@55bellechasse
@zyrs10
@jaimehorta17
@qofficiel
@centuriesoflies
@fitzlemonade1

Top Mentioned in G2:
@yvespdb
@_2019_ncov
@55bellechasse
@alainhoupert
@jeanyvescapo
@basphilippe
@sitting_bull_d
@jgalt485
@rrrrgerard
@tvlcampagnol

Top Mentioned in G3:
@cdcgov
@minorityhealth
@bag_ofsp_ufsp
@vdhgov
@us_fda
@danaparish
@burkhardtphilip
@luckytran
@flsurgeongen
@igrisikogruppe

Top Mentioned in G4:
@ibaraki_kouhou
@chibaken_kouhou
@funwari_fuwari
@kenko_de_nerima
@konmei30
@ooaminavi
@bar1star
@kashiwacasc

Top Mentioned in G5:
@pawley_robert
@kathmarval
@burgerlab12
@mcfunny
@rw_christian
@takethatct
@groin_hammer
@jcdeardeuff
@jtylerhagen

Top Mentioned in G6:
@ministeriosalud

Top Mentioned in G7:
@fourthdose

Top Mentioned in G8:
@_2019_ncov
@piochel4
@55bellechasse
@anticor_org
@csapeforce
@agretdenis
@_samedi_
@alaindujardin6
@ad_vitam44_
@mamanslouves

Top Mentioned in G9:
@bar1star
@hiroshi_tsuji
@atsushimiyahara

Top Mentioned in G10:
@sanchak74
@batresearch
@michaelworobey
@natesilver538
@r_h_ebright
@zhihuachen
@daoyu15
@ggronvall
@coroldo1
@breakfast_dogs

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

Top Tweeters in G1:
@sonialavera
@limportant_fr
@botliberalisme
@bfmtv
@lenine13
@ladevita12
@nypost
@le_parisien
@unrollhelper
@barberis888

Top Tweeters in G2:
@threadreaderapp
@mariabadin18
@guardian
@minilicorne69
@yvespdb
@gerardfiloche
@peneloppe192
@philvelissariou
@chriss17031
@soteros1

Top Tweeters in G3:
@adekleine
@lorettabower3
@tyberzannxxxx
@rleas
@wtf_imtooold
@thinkkimthink
@brendaweese
@prpeep
@saffiya_khan1
@iridescentashes

Top Tweeters in G4:
@kokusizu2
@shintochigi1
@hakofuguf
@nancy_moon_1789
@atsushi48shm410
@fairyaoi
@forzaoldbasterd
@tiiduka
@lapis777
@tsuka_kazunee

Top Tweeters in G5:
@adevotedyogi
@doritmi
@monstercoyliar
@takethatct
@mcfunny
@wjack76995
@tracymmpohill
@nockit1
@bigmack600
@wendyorent

Top Tweeters in G6:
@siquieresmelees
@janecarvajal
@dragontauro
@turkiantof
@laporres
@ellaresponde
@mgarcia318
@negravillana
@carlos67360447
@yoly2944

Top Tweeters in G7:
@matiere
@personalfitnes3
@drunkunclep
@didaclopez
@irlandia
@dianestraley
@bettycjung
@asynchronize
@yu2kama
@sherrychiyohime

Top Tweeters in G8:
@altai_armande
@bo_chart
@danubaud
@pilotte_daniel
@daniesteimer
@chaolin30900
@reinecabas
@albanie_jose
@nicoleameri1
@natalianausica

Top Tweeters in G9:
@st01_madox
@caras_1989
@otakutokkai
@mark__lp
@fastech360x
@nurupo889
@pantyosu
@nozakitakehide
@mindgaterz_2010
@5910mikiya

Top Tweeters in G10:
@abcnews
@freethinkfacts
@dopaminergic13
@akkaufman
@biorealism
@mbalter
@harvard2h
@supertodd1
@karenh777
@warrenplatts


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