NCoV, Twitter, 12/2/2022 10:25:16 AM, 285351


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NCoV_2022-12-02_02-08-55.xlsx
NCoV_2022-12-02_02-08-55.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
December 02, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3isne3M
@_2019_ncov
@backtolife_2023
@julienm__
@j0hn_nada
@alex_on_a14
@doritmi
@drkatepi
@qi_181
@elonmusk
@marclindsay20

Top hashtags:
#新型コロナウイルス感染症情報
#covid_19
#covid19
#suicídio
#covid
#dyk
#코로나19
#예방접종
#covidvaccination
#千葉県庁

Description:
Description
The graph represents a network of 5,602 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 Friday, 02 December 2022 at 10:19 UTC.

The requested start date was Friday, 02 December 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, 6-hour, 24-minute period from Friday, 25 November 2022 at 06:03 UTC to Thursday, 01 December 2022 at 12:27 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 : 5602
Unique Edges : 7147
Edges With Duplicates : 14990
Total Edges : 22137
Number of Edge Types : 5
Replies to : 3337
MentionsInRetweet : 7399
Retweet : 3566
Mentions : 6997
Tweet : 838
Self-Loops : 886
Reciprocated Vertex Pair Ratio : 0.0460631027057392
Reciprocated Edge Ratio : 0.0880694531459769
Connected Components : 531
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 2826
Maximum Edges in a Connected Component : 16065
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.093137
Graph Density : 0.000356091101954877
Modularity : 0.401025
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,602 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 Friday, 02 December 2022 at 10:19 UTC.

The requested start date was Friday, 02 December 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, 6-hour, 24-minute period from Friday, 25 November 2022 at 06:03 UTC to Thursday, 01 December 2022 at 12:27 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:
[442] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[142] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[91] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[62] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[29] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[25] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[24] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-age.html
[20] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[18] http://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html

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

[6] https://twitter.com/_2019_nCoV/status/1597877522695618561?s=20
[6] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

[4] https://www.youtube.com/watch?v=ZNAVdn2n7Ak

[3] https://threadreaderapp.com/thread/1597181399920160771.html
[3] https://www.sogelym-dixence.fr/fr/projet/academie-de-loms-lyon
[3] https://threadreaderapp.com/thread/1596523128876077056.html
[2] https://www.crashdebug.fr/la-porte-n-est-pas-fermee-reagissez
[2] https://twitter.com/_2019_nCoV/status/1597304879672090624?s=20
[2] https://twitter.com/mtwit75/status/1597604847968452608

Top URLs in Tweet in G2:
[4] https://twitter.com/Aliyah01150546/status/1597593782295400448?s=20&t=VxNN9SsfX1SKlRvbjy122Q
[2] https://twitter.com/france_soir/status/1598038396043083776
[2] https://twitter.com/Log_Yves/status/1595876074453610496
[2] https://ifcncodeofprinciples.poynter.org/signatories
[2] https://fr.wikipedia.org/wiki/Poynter_Institute
[2] https://threadreaderapp.com/thread/1596064708565602306.html
[1] https://www.marceau2020.info/
[1] https://twitter.com/StatChrisCotton/status/1594348480847237120
[1] https://twitter.com/StatChrisCotton/status/1587371683874324480
[1] https://twitter.com/Olivierfente/status/1596859986059005953

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-1745766
[1] https://twitter.com/tagrevista_/status/1594019455176163328
[1] https://www.cmaj.ca/content/194/45/E1529

Top URLs in Tweet in G4:
[12] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-correctional-settings.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html
[1] https://web.archive.org/web/20221128023554/https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-shelters/unsheltered-homelessness.html#:~:text=Closing%20encampments%20can,public%20health%20partners
[1] https://web.archive.org/web/20220922075829/https://www.cdc.gov/coronavirus/2019-ncov/community/homeless-shelters/plan-prepare-respond.html#:~:text=Regardless%20of%20COVID%2D19%20vaccination%20status%2C%20all%20clients%2C%20staff%2C%20and%20volunteers%20should%20continue%20wearing%20well%2Dfitting%20masks%20or%20respirators%C2%A0and%20maintain%20physical%20distance%20in%20shelters
[1] https://web.archive.org/web/20221110050548/https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/indicators-monitoring-community-levels.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/vaccine-benefits.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G5:
[7] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[6] https://ncov.kdca.go.kr/
[5] https://ncov.se
[5] http://pref.ibaraki.jp/1saigai/2019-ncov/index.html
[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.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[4] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/covid19-chiba-index.html

Top URLs in Tweet in G6:
[139] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[90] 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
[8] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyou-senyu.html
[8] 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=
[7] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/10745-cepr-topics.html
[7] https://www.niid.go.jp/niid/images/cepr/covid-19/20221125_dominant_variant.pdf

Top URLs in Tweet in G7:
[7] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/isolation.html
[3] https://nextstrain.org/ncov/gisaid/global/6m
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/naats.html
[1] https://twitter.com/danaparish/status/1598151763504177155
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[1] https://twitter.com/WallStreetSilv/status/1597834732209045505
[1] https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-Annex-2021.1
[1] https://apps.who.int/iris/bitstream/handle/10665/331713/WHO-2019-nCoV-Sci_Brief-POC_immunodiagnostics-2020.1-eng.pdf?sequence=1&isAllowed=y
[1] https://pubmed.ncbi.nlm.nih.gov/34819146/

Top URLs in Tweet in G8:
[428] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[10] 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/221201_teireikaiken.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220125_mannennboushi.html

Top URLs in Tweet in G9:
[5] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-sars-covid-19/

Top URLs in Tweet in G10:
[1] https://twitter.com/a_meluzzi/status/1597224684785119235
[1] https://twitter.com/VictorDjamba/status/1598163885936476161
[1] https://www.youtube.com/watch?v=CUhjZ-ELZn4&feature=youtu.be

[1] https://www.youtube.com/watch?v=53PoTbZ6y3Y&feature=youtu.be

[1] https://www.youtube.com/watch?v=msipyM4vyLg&t=2s

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

Top Domains
Top Domains in Tweet in Entire Graph:
[675] cdc.gov
[479] ibaraki.jp
[293] lg.jp
[189] twitter.com
[107] go.jp
[81] recombinomics.co
[48] go.kr
[44] youtube.com
[37] substack.com
[36] gob.es

Top Domains in Tweet in G1:
[105] twitter.com
[32] youtube.com
[13] threadreaderapp.com
[4] odysee.com
[4] rolandsimion.org
[4] cdc.gov
[3] bonsens.info
[3] europa.eu
[3] crowdbunker.com
[3] sogelym-dixence.fr

Top Domains in Tweet in G2:
[34] twitter.com
[3] youtube.com
[3] poynter.org
[3] wikipedia.org
[3] weforum.org
[3] europa.eu
[3] cdc.gov
[2] bonsens.info
[2] threadreaderapp.com
[2] eui.eu

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

Top Domains in Tweet in G4:
[44] cdc.gov
[3] archive.org
[2] bit.ly
[1] who.int
[1] gob.es
[1] hopkinsmedicine.org
[1] science.org
[1] usatoday.com
[1] jhu.edu

Top Domains in Tweet in G5:
[104] cdc.gov
[80] recombinomics.co
[22] substack.com
[19] go.jp
[18] ibaraki.jp
[14] go.kr
[11] co.jp
[10] bvsalud.org
[7] lg.jp
[7] twitter.com

Top Domains in Tweet in G6:
[275] lg.jp
[22] cdc.gov
[15] go.jp
[8] ibaraki.jp
[7] catapoke.com
[7] go.kr
[4] twitcasting.tv
[2] tokyo.jp
[1] twitter.com
[1] m-meiwakai.jp

Top Domains in Tweet in G7:
[20] cdc.gov
[3] twitter.com
[3] nextstrain.org
[3] nih.gov
[2] who.int
[2] bvsalud.org
[1] cochrane.org
[1] doctorevidence.com

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

Top Domains in Tweet in G9:
[5] minsal.cl

Top Domains in Tweet in G10:
[3] twitter.com
[3] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[436] 新型コロナウイルス感染症情報
[254] covid_19
[175] covid19
[129] suicídio
[68] covid
[29] dyk
[19] 코로나19
[19] 예방접종
[16] covidvaccination
[15] 千葉県庁



Top Hashtags in Tweet in G1:
[14] covid_19
[10] macron
[9] ftx
[8] pfizer
[6] covid
[6] twitter
[5] mckinsey
[5] hidalgo
[5] justicepourlessuspendus
[4] lgbtq

Top Hashtags in Tweet in G2:
[2] mafia
[1] duval2027
[1] fatigue
[1] elasomeran
[1] moderna
[1] macron
[1] thegreatreset
[1] onoubliepas
[1] covid19
[1] mckinsey

Top Hashtags in Tweet in G3:
[129] suicídio
[1] vacinas

Top Hashtags in Tweet in G4:
[70] covid19
[51] covid
[3] denver
[2] dyk
[2] coronavirus
[1] wecandothis
[1] healthiernj
[1] hcps
[1] stopthespread
[1] covid19communitylevel

Top Hashtags in Tweet in G5:
[21] covid19
[10] covid
[6] coronavirus
[5] 의정부시청
[5] 안전안내문자
[5] 재난문자
[5] cdc
[2] booster
[2] コロナ
[2] 공공데이터

Top Hashtags in Tweet in G6:
[15] 千葉県庁
[8] 新型コロナウイルス感染症情報
[7] 北広島町
[7] 広島県
[7] 新型コロナ
[2] 練馬区
[2] 新型コロナウイルス

Top Hashtags in Tweet in G7:
[3] ensayoclínico
[3] carvacrol
[3] thymusvulgaris
[1] coronavirus
[1] wuhan
[1] china
[1] deinteres
[1] protocolos
[1] resultados
[1] ensayosclínicos

Top Hashtags in Tweet in G8:
[428] 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 G9:
[240] covid_19

Top Words
Top Words in Tweet in Entire Graph:
[2808] _2019_ncov
[899] covid
[666] co
[564] 19
[558] ce
[552] c'est
[481] casos
[440] 現在の入院者数
[440] 本日の新規陽性者数
[438] 本日の死亡者

Top Words in Tweet in G1:
[2046] _2019_ncov
[449] c'est
[444] ce
[273] ils
[256] ça
[225] plus
[217] mais
[191] là
[186] fait
[172] par

Top Words in Tweet in G2:
[345] _2019_ncov
[148] sitting_bull_d
[145] banounhelene
[144] alainsebil
[139] robertkennedyjr
[139] gaelianprincess
[139] cristianterhes
[138] caudehenrion
[138] crashdebug_fr
[137] tuckercarlson

Top Words in Tweet in G3:
[318] mpatriabrasil
[209] oms
[205] estudos
[192] já
[133] científicas
[132] vacina
[131] relacionando
[130] ideação
[130] suicida
[129] outras

Top Words in Tweet in G4:
[257] cdcgov
[204] covid
[149] alexander_tin
[139] congregate
[137] settings
[132] guidance
[122] published
[122] changes
[122] swatch
[122] revisions

Top Words in Tweet in G5:
[169] covid
[124] ncov
[94] 2019
[93] 19
[87] cases
[87] deaths
[80] recombinomics
[80] increase
[80] inc
[36] 11

Top Words in Tweet in G6:
[170] co
[150] hiroshima_pref
[139] の広島県内の感染状況
[139] 19
[139] languages
[139] information
[139] 本日
[139] covid
[139] 本日の感染者はコチラ
[139] multiple

Top Words in Tweet in G7:
[105] vaccine
[103] drkatepi
[101] syndrome
[101] cases
[101] 1m
[101] tts
[101] occurred
[101] rare
[101] doses
[101] thrombocytopenia

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

Top Words in Tweet in G9:
[480] casos
[240] fallecidos
[240] activos
[240] nuevos
[240] noviembre
[240] registrados
[240] #covid_19
[240] informe
[240] diario
[235] ministeriosalud

Top Words in Tweet in G10:
[101] louan07
[74] _2019_ncov
[59] cette
[59] été
[58] nettoyé
[58] youtube
[58] lechypre
[57] datant
[57] 2021
[57] plateforme

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[469] covid,19
[425] ibaraki_kouhou,#新型コロナウイルス感染症情報
[388] 詳細,co
[312] co,qnzux8c1z3
[262] qnzux8c1z3,検査前で症状がある方
[248] 6名,詳細
[248] 本日の死亡者,6名
[240] informe,diario
[240] casos,activos
[240] diario,#covid_19

Top Word Pairs in Tweet in G1:
[153] _2019_ncov,c'est
[123] c'est,ce
[122] elonmusk,financialtimes
[120] fandemarlene,_2019_ncov
[116] juvin,là
[116] ce,juvin
[107] _2019_ncov,elonmusk
[75] _2019_ncov,morad_tth
[70] ils,ont
[62] ah,ah

Top Word Pairs in Tweet in G2:
[139] robertkennedyjr,cristianterhes
[137] tuckercarlson,robertkennedyjr
[136] caudehenrion,crashdebug_fr
[134] alainsebil,caudehenrion
[121] sitting_bull_d,alainsebil
[117] crashdebug_fr,tuckercarlson
[116] cristianterhes,solobucketpo
[101] gaelianprincess,sitting_bull_d
[78] poulin2012,andrebercoff
[78] andrebercoff,philippemurer

Top Word Pairs in Tweet in G3:
[201] mpatriabrasil,oms
[130] estudos,relacionando
[130] ideação,suicida
[129] oms,outras
[129] suicida,tentativa
[129] científicas,publicaram
[129] outras,revistas
[129] publicaram,estudos
[129] #suicídio,vacina
[129] relacionando,ideação

Top Word Pairs in Tweet in G4:
[137] alexander_tin,cdcgov
[136] congregate,settings
[122] cdcgov,published
[122] settings,changes
[122] covid,guidance
[122] revisions,covid
[122] swatch,revisions
[122] guidance,congregate
[122] published,swatch
[74] covid,19

Top Word Pairs in Tweet in G5:
[88] 2019,ncov
[80] recombinomics,inc
[80] ncov,recombinomics
[80] cases,increase
[79] covid,cases
[67] covid,19
[19] 2022,11
[15] learn,more
[15] ncov,19
[15] chadox1,ncov

Top Word Pairs in Tweet in G6:
[139] multiple,languages
[139] 本日の感染者はコチラ,co
[139] information,multiple
[139] の広島県内の感染状況,本日の感染者はコチラ
[139] languages,covid
[139] covid,19
[132] hiroshima_pref,本日
[122] 本日,11
[101] の新型コロナウイルス感染症の情報,新規感染者数
[85] co,aynlaejjmp

Top Word Pairs in Tweet in G7:
[101] vaccine,rare
[101] thrombosis,thrombocytopenia
[101] 1m,doses
[101] tts,vaccine
[101] syndrome,tts
[101] rare,occurred
[101] occurred,cases
[101] cases,1m
[101] thrombocytopenia,syndrome
[100] doses,imme

Top Word Pairs in Tweet in G8:
[417] ibaraki_kouhou,#新型コロナウイルス感染症情報
[378] 詳細,co
[307] co,qnzux8c1z3
[257] qnzux8c1z3,検査前で症状がある方
[242] 6名,詳細
[242] 本日の死亡者,6名
[200] うち重症者,10名
[200] 10名,本日の死亡者
[195] 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

Top Word Pairs in Tweet in G9:
[240] diario,#covid_19
[240] casos,activos
[240] informe,diario
[240] casos,nuevos
[240] fallecidos,registrados
[235] ministeriosalud,informe
[106] registrados,62
[57] 30,fallecidos
[57] 150,casos
[57] #covid_19,28

Top Word Pairs in Tweet in G10:
[57] juin,2021
[57] lechypre,datant
[57] intervention,d'emmanuel
[57] cette,intervention
[57] louan07,cette
[57] 2021,été
[57] plateforme,youtube
[57] d'emmanuel,lechypre
[57] nettoyé,plateforme
[57] youtube,n'hésitez

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@mbobmorriss
@canardmagic
@6_genre
@jeanyvescapo
@noah19612460
@louan07
@tweettaravista
@takeheight
@donq_17

Top Replied-To in G1:
@_2019_ncov
@mbobmorriss
@canardmagic
@6_genre
@takeheight
@noah19612460
@donq_17
@bfmtv
@chomenterprise
@mec2later

Top Replied-To in G2:
@_2019_ncov
@jeanyvescapo
@gaelianprincess
@log_yves
@alainsebil
@secretwar_
@julienm__
@sitting_bull_d
@55bellechasse
@ludovicodiot

Top Replied-To in G4:
@gringotuanis
@leoncepontillie

Top Replied-To in G6:
@ojimakohei
@hosono_54

Top Replied-To in G7:
@drkatepi
@xellos04763
@wallstreetsilv
@dozzle101
@tseals13
@pinkrubberduck0
@danielh45910759
@nerdosyndical
@lauramiers
@regibrittain

Top Replied-To in G10:
@_2019_ncov
@louan07
@_wyh530

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@mpatriabrasil
@verity_france
@cdcgov
@ministeriosalud
@elonmusk
@banounhelene
@hiroshima_pref
@sitting_bull_d

Top Mentioned in G1:
@_2019_ncov
@elonmusk
@morad_tth
@financialtimes
@fandemarlene
@verity_france
@philippejuvin
@emmanuelmacron
@sudradio
@rreichstadt

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

Top Mentioned in G3:
@mpatriabrasil

Top Mentioned in G4:
@cdcgov
@alexander_tin
@hhsgov
@ddphe
@auspublichealth
@repthomasmassie
@rayarmat
@us_fda
@newsreputation
@wsbgnl

Top Mentioned in G5:
@drml350phd
@paularitchie3
@fr_hossain
@readyla
@siz_hala

Top Mentioned in G6:
@hiroshima_pref
@chibaken_kouhou
@dondeli
@drhiromi
@c45425
@koheikana
@ibaraki_kouhou
@dadshonan
@ygd862
@hosono_54

Top Mentioned in G7:
@drkatepi
@who
@danaparish
@nerdosyndical
@billy_maggard
@xellos04763
@lauramiers
@cphug184
@carvativir
@kathygraf13

Top Mentioned in G8:
@ibaraki_kouhou
@tsukubais

Top Mentioned in G9:
@ministeriosalud

Top Mentioned in G10:
@louan07
@_2019_ncov
@zyrs10
@narashi13876794
@verity_france
@r
@rasekrasek
@philippelecat22
@jaimehorta17
@llp_le_vrai

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@simanekomama
@matiere
@rodolfoxoliz
@m2bliquis
@sippomagari
@britpoptarts
@lizditz
@ginniasa
@61k61z61k61z

Top Tweeters in G1:
@threadreaderapp
@sonialavera
@lagrosta
@botliberalisme
@altai_armande
@thalassa2008
@bfmtv
@bo_chart
@lau68951920
@talullabellefle

Top Tweeters in G2:
@m2bliquis
@le_figaro
@yvespdb
@teppdude
@diabolo741
@delalande72
@ninasouky70
@rosesouslapluie
@laurent_daniel
@debrouille92

Top Tweeters in G3:
@anousca65
@izaquends
@ayurvedapoa
@adriana_foltran
@ronivilar
@sardinha_rose
@alexchina_0_
@fabianammendes
@luizrboaventura
@11setembro

Top Tweeters in G4:
@vonrosenchild
@adekleine
@eilonwy24
@pppatticake
@smlnewswsasia
@planetscape
@hiro_thekid
@monitor_ph
@baluch_h1
@cfraase

Top Tweeters in G5:
@matiere
@personalfitnes3
@paularitchie3
@gate_15_analyst
@dopaminergic13
@carline15973938
@kimkarlocastro
@thefirstindia
@sfdb
@elinsilveous

Top Tweeters in G6:
@simanekomama
@sippomagari
@4823_tanaka
@soramiffy
@qbk_jitensya
@keiki22
@tawarayasotatsu
@turututukotokot
@sakiku_bpts
@tanimoshinden

Top Tweeters in G7:
@britpoptarts
@lizditz
@amyayers16
@cblazblaz
@sexygirl798
@llama_strudel
@joanpennnative
@cynicalvision50
@dunnclan
@urocklive1

Top Tweeters in G8:
@mutoh_z
@tsuka_kazunee
@shirayukihime_p
@sgr_kn
@dummyxtweet
@chizuru_chips
@barserga
@beer_prius
@contaxndigital
@hiroyuki_yajima

Top Tweeters in G9:
@rodolfoxoliz
@ginniasa
@trigorosa
@dragontauro
@infozeus
@dmvecinal
@gonzaloxrojas
@mgarcia318
@negravillana
@pablolabarcac

Top Tweeters in G10:
@josmirek
@philvelissariou
@pmbavenir53
@moussya
@cosetterusso
@rasekrasek
@kavuncuromain
@spes78038010
@fitzlemonade1
@britt14251800


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