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NCoV_2022-11-30_01-44-01.xlsx (experimental version)
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From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3ETfxuU
@_2019_ncov
@backtolife_2023
@j0hn_nada
@alex_on_a14
@doritmi
@julienm__
@drkatepi
@scary7dr
@emkabmart
@cnn

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#billgates
#billmelindagates
#suicídio
#dyk
#코로나19
#예방접종

Description:
Description
The graph represents a network of 5,753 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 November 2022 at 09:54 UTC.

The requested start date was Wednesday, 30 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 6-day, 5-hour, 49-minute period from Wednesday, 23 November 2022 at 06:33 UTC to Tuesday, 29 November 2022 at 12:23 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

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 : 5753
Unique Edges : 7055
Edges With Duplicates : 14035
Total Edges : 21090
Number of Edge Types : 5
Retweet : 3718
MentionsInRetweet : 7485
Replies to : 3247
Mentions : 5843
Tweet : 797
Self-Loops : 861
Reciprocated Vertex Pair Ratio : 0.042204753883586
Reciprocated Edge Ratio : 0.0809912902936159
Connected Components : 497
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 3136
Maximum Edges in a Connected Component : 15461
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.647649
Graph Density : 0.000336554164036566
Modularity : 0.413435
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,753 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 November 2022 at 09:54 UTC.

The requested start date was Wednesday, 30 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 6-day, 5-hour, 49-minute period from Wednesday, 23 November 2022 at 06:33 UTC to Tuesday, 29 November 2022 at 12:23 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[427] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[145] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[103] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[46] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[29] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[28] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[18] http://ncov.kdca.go.kr/
[18] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

Top URLs in Tweet in G1:
[3] https://www.youtube.com/watch?v=mJC17IYkaQ8

[3] https://twitter.com/Krieger66362259/status/1590993719607455744
[2] https://twitter.com/_2019_nCoV/status/1595518730611707904?s=20
[2] https://twitter.com/_2019_nCoV/status/1597304879672090624?s=20
[2] https://twitter.com/PhdeVilliers/status/1595469516653436935?s=20
[2] https://twitter.com/_2019_nCoV/status/1595856369919430659?s=20
[2] https://www.journaldesfemmes.fr/people/actus/2744295-jean-michel-maire-depart-tpmp-quitte-hanouna-thailande-asie-nouvelle-vie/
[2] https://bonsens.info/
[2] https://threadreaderapp.com/thread/1597181399920160771.html
[2] https://twitter.com/Neruda57/status/1595692638589669376?t=ZC9BZ4wIVyAwDbW0XACCKg&s=19

Top URLs in Tweet in G2:
[4] https://m.facebook.com/login.php?next=https%3A%2F%2Fm.facebook.com%2Fstory.php%3Fstory_fbid%3Dpfbid0j52VZbG3aysjrjhbm51H2Rw6rgFnNmoYZuKSDcXJYaPKpyWnPCApMz2asZMBTdwpl%26id%3D100072626191781&refsrc=deprecated&_rdr
[3] https://twitter.com/Log_Yves/status/1595876074453610496
[3] https://www.anguillesousroche.com/actualite/dr-thomas-binder-ils-mont-envoye-dans-un-hopital-psychiatrique-suisse-pour-avoir-mis-en-garde-contre-les-confinements-de-covid/
[2] https://ifcncodeofprinciples.poynter.org/signatories
[2] https://fr.wikipedia.org/wiki/Poynter_Institute
[2] https://threadreaderapp.com/thread/1596064708565602306.html
[1] https://elucid.media/economie/la-finance-n-est-rien-d-autre-que-le-business-de-la-dette-anice-lajnef/
[1] https://twitter.com/Olivierfente/status/1596859986059005953
[1] https://www.marceau2020.info/
[1] https://twitter.com/Annette_LEXA/status/1595325155101868091

Top URLs in Tweet in G3:
[3] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1593538
[2] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1456563
[2] https://stevekirsch.substack.com/p/this-one-graph-tells-you-everything?utm_source=substack&utm_medium=email
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1534834
[1] https://www.coletividade-evolutiva.com.br/2022/04/estudo-confirma-que-vacina-covid-causa-hepatite-autoimune-grave.html?m=1
[1] https://www.sciencedirect.com/science/article/pii/S0168827822002343
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1745766
[1] https://twitter.com/tagrevista_/status/1594019455176163328
[1] https://www.cmaj.ca/content/194/45/E1529

Top URLs in Tweet in G4:
[1] https://odysee.com/@Vivresainement:f/yuval-noah-harari:dd?r=9kSc6xUDjahjWm8fS28tuUx6q8ZHZo71
[1] https://cup.columbia.edu/book/you-are-fundamental/9783838217031
[1] https://twitter.com/_2019_nCoV/status/1595456491611365382
[1] https://twitter.com/vpauline006/status/1595360360042635266
[1] https://www.centerforhealthsecurity.org/our-work/exercises/event201/scenario.html
[1] https://www.facebook.com/groups/372246150598102/posts/908501293639249/?mibextid=HsNCOg
[1] https://pic.la:443/
[1] https://www.youtube.com/watch?v=asPZBHy2xKI


Top URLs in Tweet in G5:
[1] https://twitter.com/a_meluzzi/status/1595348135664132097
[1] https://twitter.com/a_meluzzi/status/1595443270397661187
[1] https://twitter.com/a_meluzzi/status/1597224684785119235
[1] https://www.youtube.com/watch?v=W9GnfTAUiFM&feature=youtu.be

[1] https://twitter.com/gayets/status/1594010546399236096
[1] https://www.europe-israel.org/2022/11/nouveau-scandale-une-commission-officielle-revele-que-lensemble-des-chiffres-diffuses-par-le-gouvernement-macron-sur-les-hospitalisations-et-deces-durant-la-periode-covid19-etaient-bidonnes-car/
[1] https://twitter.com/NaraShi13876794/status/1595161713216991232
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vaers.html
[1] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

[1] https://twitter.com/Log_Yves/status/1595876074453610496

Top URLs in Tweet in G6:
[7] https://ncov.kdca.go.kr/
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[5] https://ncov.se
[5] https://c11.kr/joao
[5] https://ncv.kdca.go.kr/ncov/
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html

Top URLs in Tweet in G7:
[16] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/global-covid-19/shielding-approach-humanitarian.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[1] https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-epi-confirmed-cases-post-vaccination.pdf?sc_lang=en
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/monitoring.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/overview-COVID-19-vaccines.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fvaccines%2Fdifferent-vaccines%2FPfizer-BioNTech.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html

Top URLs in Tweet in G8:
[412] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[9] https://www.pref.ibaraki.jp/hokenfukushi/yobo/kiki/yobo/kansen/idwr/information/other/documents/20220202_yuusen.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html

Top URLs in Tweet in G9:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/faq.html?s_cid=11761:ingredients%20in%20covid%20vaccine:sem.ga:p:RG:GM:gen:PTN:FY22
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/vaccines.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html

Top URLs in Tweet in G10:
[141] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[99] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[18] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[18] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[9] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[7] https://www.catapoke.com/viewer/?open=62b3f
[7] https://ncov.kdca.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[6] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/vaccine_nv_1.html
[4] https://www.town.kitahiroshima.lg.jp/site/2019-ncov/32086.html
[2] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html

Top Domains
Top Domains in Tweet in Entire Graph:
[593] cdc.gov
[457] ibaraki.jp
[306] lg.jp
[172] twitter.com
[98] go.jp
[82] recombinomics.co
[58] go.kr
[42] gob.es
[41] youtube.com
[38] who.int

Top Domains in Tweet in G1:
[99] twitter.com
[17] youtube.com
[10] threadreaderapp.com
[6] odysee.com
[6] cdc.gov
[4] pgibertie.com
[3] bonsens.info
[3] crowdbunker.com
[2] lemediaen442.fr
[2] journaldesfemmes.fr

Top Domains in Tweet in G2:
[15] twitter.com
[7] youtube.com
[4] facebook.com
[3] poynter.org
[3] wikipedia.org
[3] weforum.org
[3] europa.eu
[3] anguillesousroche.com
[2] threadreaderapp.com
[2] eui.eu

Top Domains in Tweet in G3:
[7] bvsalud.org
[2] substack.com
[1] com.br
[1] sciencedirect.com
[1] twitter.com
[1] cmaj.ca

Top Domains in Tweet in G4:
[2] twitter.com
[1] odysee.com
[1] columbia.edu
[1] centerforhealthsecurity.org
[1] facebook.com
[1] pic.la
[1] youtube.com

Top Domains in Tweet in G5:
[7] twitter.com
[2] youtube.com
[1] europe-israel.org
[1] cdc.gov
[1] threadreaderapp.com

Top Domains in Tweet in G6:
[84] cdc.gov
[82] recombinomics.co
[22] go.jp
[18] substack.com
[16] go.kr
[15] ibaraki.jp
[11] co.jp
[7] lg.jp
[7] twitter.com
[6] nih.gov

Top Domains in Tweet in G7:
[46] cdc.gov
[1] publichealthontario.ca
[1] nextstrain.org
[1] clevelandclinic.org
[1] openvaers.com

Top Domains in Tweet in G8:
[426] ibaraki.jp

Top Domains in Tweet in G9:
[13] cdc.gov

Top Domains in Tweet in G10:
[276] lg.jp
[18] cdc.gov
[9] ibaraki.jp
[7] catapoke.com
[7] go.kr
[1] twitter.com
[1] m-meiwakai.jp

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[421] 新型コロナウイルス感染症情報
[257] covid_19
[193] covid19
[140] billgates
[139] billmelindagates
[127] suicídio
[29] dyk
[19] 코로나19
[19] 예방접종
[16] covidvaccination



Top Hashtags in Tweet in G1:
[11] macron
[7] ftx
[6] covid_19
[5] mckinsey
[5] justicepourlessuspendus
[5] billgates
[5] billmelindagates
[4] lgbtq
[4] pfizer
[4] reintegrezlespersonnelssuspendus

Top Hashtags in Tweet in G2:
[4] billgates
[4] billmelindagates
[2] mafia
[1] constitution
[1] corrida
[1] ivg
[1] bfmtv
[1] thegreatreset
[1] macron
[1] mcron_de_kinsey

Top Hashtags in Tweet in G3:
[127] suicídio
[2] hepatite
[1] vacinas

Top Hashtags in Tweet in G4:
[130] billgates
[129] billmelindagates
[1] france
[1] lemonde
[1] justicepourlessuspendus
[1] odysee
[1] brics
[1] billsmafia
[1] billgatecriminel

Top Hashtags in Tweet in G5:
[2] covid19
[2] retrouvonslylou
[2] justicepourlessuspendus
[1] iranprotests
[1] justicepourlessupendus
[1] gouvernementdelahonte
[1] leurparolenevautrien
[1] billgates
[1] billmelindagates
[1] injection

Top Hashtags in Tweet in G6:
[23] covid19
[6] coronavirus
[5] covid
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[5] cdc
[4] vaccines
[3] 공공데이터
[3] medicaldata

Top Hashtags in Tweet in G8:
[412] 新型コロナウイルス感染症情報
[2] 新型コロナウイルス

Top Hashtags in Tweet in G10:
[16] 千葉県庁
[9] 新型コロナウイルス感染症情報
[7] 広島県
[7] 新型コロナ
[7] 北広島町

Top Words
Top Words in Tweet in Entire Graph:
[3077] _2019_ncov
[773] covid
[649] co
[583] 19
[520] c'est
[507] ce
[501] casos
[425] 現在の入院者数
[425] 本日の新規陽性者数
[423] 検査前で症状がある方

Top Words in Tweet in G1:
[2094] _2019_ncov
[418] c'est
[414] ce
[227] plus
[215] ils
[195] julienm__
[185] ça
[183] mais
[160] là
[160] tue

Top Words in Tweet in G2:
[250] _2019_ncov
[141] idrissaberkane
[140] crashdebug_fr
[140] alainsebil
[139] gaelianprincess
[139] banounhelene
[138] cristianterhes
[138] robertkennedyjr
[137] caudehenrion
[136] tuckercarlson

Top Words in Tweet in G3:
[305] mpatriabrasil
[202] oms
[197] estudos
[181] já
[132] vacina
[130] científicas
[129] relacionando
[128] ideação
[128] suicida
[127] #suicídio

Top Words in Tweet in G4:
[237] _2019_ncov
[206] imgweb_es
[163] yvespdb
[151] maoyaya4
[138] par
[134] sa
[130] #billgates
[130] quel
[129] fondation
[129] savons

Top Words in Tweet in G5:
[171] _2019_ncov
[63] louan07
[39] zyrs10
[37] _samedi_
[35] narashi13876794
[35] marc_doyer
[34] aureleretouriii
[32] benali89790792
[32] assocovid
[32] giustin52584244

Top Words in Tweet in G6:
[158] covid
[119] ncov
[96] 2019
[87] cases
[83] deaths
[82] inc
[82] increase
[82] recombinomics
[81] 19
[34] 11

Top Words in Tweet in G7:
[16] cdc
[14] covid
[12] foxnews
[11] diedsuddenly_
[8] 65
[7] hodgetwins
[7] age
[6] 00
[6] vaers
[6] vax

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

Top Words in Tweet in G9:
[8] covid
[8] cases
[8] doses
[6] mil
[6] alex_on_a14
[6] cdc
[6] virus
[6] time
[5] one
[5] mcfunny

Top Words in Tweet in G10:
[173] co
[152] hiroshima_pref
[141] 本日
[141] 19
[141] languages
[141] multiple
[141] covid
[141] information
[141] の広島県内の感染状況
[141] 本日の感染者はコチラ

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

Top Word Pairs in Tweet in G1:
[174] _2019_ncov,c'est
[127] c'est,ce
[123] fandemarlene,_2019_ncov
[115] juvin,là
[115] ce,juvin
[79] encore,mieux
[78] l'hydroxychloroquine,tue
[78] richard,urso
[78] dr,richard
[78] tue,virus

Top Word Pairs in Tweet in G2:
[138] robertkennedyjr,cristianterhes
[136] tuckercarlson,robertkennedyjr
[135] caudehenrion,crashdebug_fr
[133] alainsebil,caudehenrion
[120] sitting_bull_d,alainsebil
[116] crashdebug_fr,tuckercarlson
[114] cristianterhes,solobucketpo
[101] gaelianprincess,sitting_bull_d
[100] poulin2012,andrebercoff
[100] andrebercoff,philippemurer

Top Word Pairs in Tweet in G3:
[193] mpatriabrasil,oms
[128] estudos,relacionando
[128] ideação,suicida
[127] outras,revistas
[127] científicas,publicaram
[127] relacionando,ideação
[127] revistas,científicas
[127] oms,outras
[127] publicaram,estudos
[127] suicida,tentativa

Top Word Pairs in Tweet in G4:
[148] maoyaya4,imgweb_es
[146] _2019_ncov,maoyaya4
[141] yvespdb,_2019_ncov
[129] imgweb_es,quel
[129] fondation,#billmelindagates
[129] #billgates,intervient
[129] par,sa
[129] sa,fondation
[129] titre,#billgates
[129] savons,par

Top Word Pairs in Tweet in G5:
[32] assocovid,marc_doyer
[32] _samedi_,assocovid
[31] zyrs10,_2019_ncov
[31] sarahreyou,_samedi_
[30] marc_doyer,alphanumerique1
[29] _2019_ncov,verity_france
[29] paulavd2201,fp_ribella
[29] benali89790792,paulavd2201
[28] aureleretouriii,_2019_ncov
[27] narashi13876794,zyrs10

Top Word Pairs in Tweet in G6:
[94] 2019,ncov
[82] recombinomics,inc
[82] ncov,recombinomics
[82] cases,increase
[81] covid,cases
[59] covid,19
[20] 2022,11
[16] learn,more
[14] 국내,발생
[12] sars,ncov

Top Word Pairs in Tweet in G7:
[4] link,cdc
[4] body,count
[4] 17,537
[4] vax,body
[3] over,65
[3] 00,00
[3] small,pox
[2] aka_c00lest,scary7dr
[2] f3_haskell,geezercitizenx
[2] cdc,c19

Top Word Pairs in Tweet in G8:
[412] 詳細,co
[403] ibaraki_kouhou,#新型コロナウイルス感染症情報
[299] qnzux8c1z3,検査前で症状がある方
[299] co,qnzux8c1z3
[234] うち重症者,10名
[234] 10名,本日の死亡者
[230] 検査前で症状がある方,検査
[173] 検査前で症状がある方,検査で
[169] 6名,詳細
[169] 本日の死亡者,6名

Top Word Pairs in Tweet in G9:
[5] mil,doses
[4] zombiejohngotti,backtolife_2023
[4] 2019,ncov
[4] allergic,reactions
[4] cases,allergic
[4] backtolife_2023,dgamered
[3] jkelleyk,jtmayes3
[3] alex_on_a14,t_n_t___
[3] test,developed
[3] cases,myocarditis

Top Word Pairs in Tweet in G10:
[141] 本日の感染者はコチラ,co
[141] covid,19
[141] multiple,languages
[141] languages,covid
[141] 本日,11
[141] information,multiple
[141] の広島県内の感染状況,本日の感染者はコチラ
[134] hiroshima_pref,本日
[112] の新型コロナウイルス感染症の情報,新規感染者数
[103] aynlaejjmp,information

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@jeanyvescapo
@aureleretouriii
@tweettaravista
@6_genre
@gaelianprincess
@yvespdb
@log_yves
@takeheight
@baddackus

Top Replied-To in G1:
@_2019_ncov
@tweettaravista
@6_genre
@takeheight
@fandemarlene
@chomenterprise
@donq_17
@kalagan974
@nobru13bruno
@guillaumebusca1

Top Replied-To in G2:
@_2019_ncov
@jeanyvescapo
@log_yves
@gaelianprincess
@alainsebil
@idrissaberkane
@sitting_bull_d
@upr_asselineau
@francoisboulo
@cporteu

Top Replied-To in G4:
@_2019_ncov
@yvespdb
@naphoron
@log_yves
@solsol36451159
@blanqu1958
@eliebre83
@matthieublanc3
@christhag
@paseb5

Top Replied-To in G5:
@_2019_ncov
@aureleretouriii
@louan07
@secretwar_
@feli_vizzavona
@vanille_47
@giustin52584244
@benali89790792
@p_duval
@sabinelucielle

Top Replied-To in G7:
@hodgetwins
@diedsuddenly_
@arwenstar
@mpc_xetts
@jcf4004
@lirifri
@travistystudios
@mitchel21982673
@foxnews
@davidadams5928

Top Replied-To in G9:
@scottstocker4
@takethatct
@cherylr56608129
@virtual_tobias
@mcfunny
@dar1797
@alex_on_a14
@t_n_t___
@tenebra99
@grossgross14

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@mpatriabrasil
@yvespdb
@imgweb_es
@ministeriosalud
@julienm__
@maoyaya4
@idrissaberkane
@hiroshima_pref

Top Mentioned in G1:
@_2019_ncov
@julienm__
@fandemarlene
@philippejuvin
@verity_france
@tatiann69922625
@imgweb_es
@chomenterprise
@emmanuelmacron

Top Mentioned in G2:
@_2019_ncov
@crashdebug_fr
@banounhelene
@robertkennedyjr
@cristianterhes
@caudehenrion
@tuckercarlson
@idrissaberkane
@alainsebil
@sitting_bull_d

Top Mentioned in G3:
@mpatriabrasil

Top Mentioned in G4:
@imgweb_es
@_2019_ncov
@yvespdb
@maoyaya4
@julienm__
@dentdours1
@upr_asselineau
@solsol36451159
@reginevalsot

Top Mentioned in G5:
@_2019_ncov
@louan07
@zyrs10
@narashi13876794
@marc_doyer
@_samedi_
@fp_ribella
@assocovid
@benali89790792
@paulavd2201

Top Mentioned in G6:
@drml350phd
@tirghrathoir
@clubfmphilly
@momotar37156452
@paularitchie3
@fr_hossain

Top Mentioned in G7:
@foxnews
@diedsuddenly_
@thereal_truther
@liz_wheeler
@michael94173566
@adevotedyogi
@hodgetwins
@trundismemberer
@vliscony
@delboy00789

Top Mentioned in G8:
@ibaraki_kouhou
@tsukubais

Top Mentioned in G9:
@alex_on_a14
@pouldeau61
@frenchg11623069
@ogilville1
@skepticalmutant
@zeetubesii
@tonybaduy
@wendyorent
@rickeyh64219156
@mcfunny

Top Mentioned in G10:
@hiroshima_pref
@chibaken_kouhou
@drhiromi
@koheikana
@ibaraki_kouhou
@ygd862
@ooaminavi
@dondeli

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@simanekomama
@matiere
@rodolfoxoliz
@m2bliquis
@sippomagari
@britpoptarts
@delta
@lizditz
@kokusizu2

Top Tweeters in G1:
@threadreaderapp
@m2bliquis
@sonialavera
@lagrosta
@botliberalisme
@altai_armande
@bfmtv
@mazenod10
@lau68951920
@diabolo741

Top Tweeters in G2:
@laizet2
@teppdude
@laurent_daniel
@debrouille92
@mrjumper02
@ladyjessparis
@grobisr
@chriss17031
@francfranssais
@bois_dinde

Top Tweeters in G3:
@anousca65
@izaquends
@adriana_foltran
@ronivilar
@sardinha_rose
@alexchina_0_
@fabianammendes
@11setembro
@dea_ln_
@ferreiracardin

Top Tweeters in G4:
@bo_chart
@yvespdb
@coolise
@myriamjerome
@reginevalsot
@jipettes
@frederiquerinc1
@remangere
@lovebresil01
@jacquot35

Top Tweeters in G5:
@rosesouslapluie
@josmirek
@rtlfrance
@guyjeff1
@moussya
@arcenetac
@kittymiss141
@lrestistant73
@rasekrasek
@colomba9403

Top Tweeters in G6:
@matiere
@personalfitnes3
@drpatfarrell
@paularitchie3
@gate_15_analyst
@this1wierdgirl
@carline15973938
@clubfmphilly
@thefirstindia
@sfdb

Top Tweeters in G7:
@msavaarmstrong
@rospay15
@foxnews
@adevotedyogi
@ddavisonnc
@scepticalaussie
@babetruth2
@thereal_truther
@unity_coach
@breitbartnews

Top Tweeters in G8:
@mutoh_z
@tsuka_kazunee
@shirayukihime_p
@sgr_kn
@dummyxtweet
@chizuru_chips
@beer_prius
@contaxndigital
@akeykomichan721
@yamano__88

Top Tweeters in G9:
@doritmi
@rolo_tamasi
@vincegottalotta
@ladyoftheocean1
@monstercoyliar
@takethatct
@mcfunny
@howienudet
@hrt6017
@angryfleas

Top Tweeters in G10:
@kokusizu2
@4823_tanaka
@keiki22
@tawarayasotatsu
@crossline_jp
@turututukotokot
@sakiku_bpts
@tanimoshinden
@k6310msm
@susumumushi


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