NCoV, Twitter, 11/23/2022 10:57:50 AM, 284841


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NCoV_2022-11-23_01-44-01.xlsx
NCoV_2022-11-23_01-44-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 23, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3EymmBU
@_2019_ncov
@mpatriabrasil
@monicadouaudm
@elonmusk
@scary7dr
@drtomfrieden
@monstercoyliar
@jreinermd
@cacouteau
@judyandhuahua

Top hashtags:
#suicídio
#新型コロナウイルス感染症情報
#covid19
#covid_19
#longcovidkids
#広島県
#新型コロナ
#covid

Description:
Description
The graph represents a network of 4,601 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, 23 November 2022 at 09:49 UTC.

The requested start date was Wednesday, 23 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 2-day, 15-hour, 8-minute period from Saturday, 19 November 2022 at 21:19 UTC to Tuesday, 22 November 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 : 4601
Unique Edges : 3248
Edges With Duplicates : 9944
Total Edges : 13192
Number of Edge Types : 5
Replies to : 1991
Mentions : 3358
Retweet : 3210
MentionsInRetweet : 4252
Tweet : 381
Self-Loops : 409
Reciprocated Vertex Pair Ratio : 0.0406805877803558
Reciprocated Edge Ratio : 0.0781807372175981
Connected Components : 252
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 3432
Maximum Edges in a Connected Component : 10976
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.620327
Graph Density : 0.000317889305727488
Modularity : 0.421267
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,601 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, 23 November 2022 at 09:49 UTC.

The requested start date was Wednesday, 23 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 2-day, 15-hour, 8-minute period from Saturday, 19 November 2022 at 21:19 UTC to Tuesday, 22 November 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:
[175] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html#saishin
[79] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[71] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[54] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[39] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[32] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[23] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[23] https://www.nature.com/articles/s41598-022-13495-5
[18] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/shien.html
[14] https://www.who.int/publications/i/item/WHO-2019-nCoV-Digital_certificates-vaccination-2021.1

Top URLs in Tweet in G1:
[2] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1456563
[1] https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1593538
[1] 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

Top URLs in Tweet in G2:
[6] https://m.vk.com/@verobeau-lafp-a-touch-de-largent-de-la-fondation-bill-gates-selon-med
[3] https://twitter.com/_2019_nCoV/status/1593909944310550529?s=20
[2] https://twitter.com/VictorDjamba/status/1584980895777587203?s=20
[2] https://twitter.com/FlammeEtBougie/status/1573665726170284033
[2] https://www.youtube.com/watch?v=cC0X9SKi-1A

[2] https://threadreaderapp.com/thread/1594738878191108096.html
[2] https://twitter.com/GorafiSports/status/1594365021676519430?t=J0r5qpYTkztL1Y161AOkNA&s=19
[2] https://www.youtube.com/watch?app=desktop&v=oeH73w4PAjw
[2] https://twitter.com/LLP_Le_Vrai/status/1461065019093917718?t=2YnScZXUcuH0K5TFYV4EHg&s=19
[2] https://www.stevecutts.com/animation.html

Top URLs in Tweet in G3:
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-care/underlyingconditions.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/voc/2022/07/evidence-brief-ba4-ba5-risk-assessment-jul-8.pdf
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/populations.html

Top URLs in Tweet in G4:
[2] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-who-are-immunocompromised.html
[2] https://www.newsweek.com/fact-check-have-more-americans-died-covid-under-joe-biden-donald-trump-1661528
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[1] https://brunobertez.com/2022/11/20/coups-de-projecteurs-sur-le-systeme-de-domination/
[1] https://twitter.com/Sitting_Bull_D/status/1540978571207917571
[1] https://twitter.com/amine_umlil/status/1593583865096019968
[1] https://twitter.com/gayets/status/1593584611694632960
[1] https://twitter.com/Sitting_Bull_D/status/1550947738841489408
[1] https://twitter.com/Sitting_Bull_D/status/1594344641238794240
[1] https://twitter.com/StatChrisCotton/status/1594348480847237120

Top URLs in Tweet in G5:
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[1] https://www.publichealthontario.ca/-/media/Documents/nCoV/epi/covid-19-weekly-epi-summary-report.pdf?sc_lang=en

Top URLs in Tweet in G6:
[3] https://twitter.com/i/status/1576821861056335874
[1] https://fr.sott.net/article/24927-Comprendre-Les-symboles-nazis-des-forces-armees-d-Ukraine-et-des-bataillons-de-Kiev
[1] https://twitter.com/fabio35590/status/1594316020507824128?t=Cs0Sz_bY4R8qTvisYR9BGQ&s=19
[1] https://twitter.com/SenseiKishou/status/1589581335823519744?t=8hYSTC6_RfIzrr9V6R8rTw&s=19
[1] https://www.youtube.com/watch?v=Z-oLo1MdgFk


Top URLs in Tweet in G7:
[16] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[2] -
[1] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/Improving-Ventilation-Home.html
[1] https://bit.ly/3DZexGt
[1] https://bit.ly/3TeqagX
[1] https://bit.ly/3UDx6pH
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/about-vaccines/index.html?s_cid=10536:%2Bthe

Top URLs in Tweet in G8:
[50] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[37] https://www.pref.chiba.lg.jp/shippei/kansenshou/ncov/sessyucenter-tsudanuma3.html
[3] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/byousyoukakuho-phase041122.html
[1] https://www.city.nerima.tokyo.jp/hokenfukushi/hoken/kansensho/2019-nCoV/vaccination_covid/nyuji.html
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[1] https://twitter.com/mikito_777/status/1591373137987657728
[1] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[1] https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/vaccine_hukuhannou_youshikietc.html

Top URLs in Tweet in G9:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/myocarditis.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vaers.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/index.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vsafe.html

Top URLs in Tweet in G10:
[6] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html
[3] https://www.niid.go.jp/niid/ja/2019-ncov/2551-cepr/11621-sars-cov-2-22.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[3] https://ncov.kdca.go.kr/
[2] https://www.cdc.gov/coronavirus/2019-ncov/science/data-review/index.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/types-of-masks.html
[2] https://www.niid.go.jp/niid/ja/2019-ncov/2559-cfeir/11480-20-2022-8-31.html
[2] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=

Top Domains
Top Domains in Tweet in Entire Graph:
[256] cdc.gov
[185] ibaraki.jp
[172] lg.jp
[132] twitter.com
[111] go.jp
[34] who.int
[30] go.kr
[25] nature.com
[22] tokyo.jp
[19] recombinomics.co

Top Domains in Tweet in G1:
[4] bvsalud.org
[1] substack.com
[1] twitter.com

Top Domains in Tweet in G2:
[72] twitter.com
[13] youtube.com
[6] vk.com
[3] naturalnews.com
[3] threadreaderapp.com
[3] odysee.com
[2] sott.net
[2] crashdebug.fr
[2] francesoir.fr
[2] stevecutts.com

Top Domains in Tweet in G3:
[5] cdc.gov
[1] publichealthontario.ca

Top Domains in Tweet in G4:
[16] twitter.com
[4] cdc.gov
[3] crashdebug.fr
[2] francesoir.fr
[2] newsweek.com
[1] brunobertez.com
[1] francetvinfo.fr
[1] crowdbunker.com
[1] childrenshealthdefense.org
[1] threadreaderapp.com

Top Domains in Tweet in G5:
[2] cdc.gov
[1] publichealthontario.ca

Top Domains in Tweet in G6:
[5] twitter.com
[1] sott.net
[1] youtube.com

Top Domains in Tweet in G7:
[37] cdc.gov
[3] bit.ly
[2] twitter.com

Top Domains in Tweet in G8:
[90] lg.jp
[3] go.jp
[1] tokyo.jp
[1] twitter.com

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

Top Domains in Tweet in G10:
[51] cdc.gov
[19] recombinomics.co
[8] go.jp
[7] go.kr
[7] twitter.com
[6] ibaraki.jp
[5] bvsalud.org
[4] lg.jp
[4] scholarsportal.info
[4] nextstrain.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1008] suicídio
[174] 新型コロナウイルス感染症情報
[144] covid19
[110] covid_19
[23] longcovidkids
[18] 広島県
[18] 新型コロナ
[11] covid
[11] covidisairborne
[11] zelensky



Top Hashtags in Tweet in G1:
[1007] suicídio
[1] vacina
[1] vacinas

Top Hashtags in Tweet in G2:
[7] covid_19
[7] justicepourlessuspendus
[6] zelensky
[6] macron
[4] kherson
[4] twitter
[4] soignantssuspendus
[3] covid
[3] soignants
[3] boycott

Top Hashtags in Tweet in G4:
[2] pour
[2] nupés
[1] schengen
[1] teamfreedom
[1] provaxx
[1] singleglobalorder

Top Hashtags in Tweet in G6:
[1] bodyshaming
[1] goujaterie

Top Hashtags in Tweet in G7:
[108] covid19
[5] covid
[4] dyk
[2] omicron
[2] mrna
[1] vaxupamerica
[1] wecandothis

Top Hashtags in Tweet in G8:
[1] 千葉県庁

Top Hashtags in Tweet in G10:
[10] covid19
[3] cdc
[2] sarscov2
[2] coronavirus
[2] covid
[2] juntospodemos
[2] 의정부시청
[2] 안전안내문자
[2] 재난문자
[1] covid19mortality

Top Words
Top Words in Tweet in Entire Graph:
[1814] _2019_ncov
[1487] mpatriabrasil
[1259] oms
[1256] científicas
[1239] vacina
[1009] relacionando
[1008] tentativa
[1008] #suicídio
[1008] ideação
[1008] suicida

Top Words in Tweet in G1:
[1484] mpatriabrasil
[1256] oms
[1254] científicas
[1237] vacina
[1008] relacionando
[1007] outras
[1007] tentativa
[1007] #suicídio
[1007] revistas
[1007] estudos

Top Words in Tweet in G2:
[1386] _2019_ncov
[205] c'est
[195] ce
[162] frcsbraun
[125] ils
[125] plus
[124] ça
[103] par
[98] mais
[97] ont

Top Words in Tweet in G3:
[192] drtomfrieden
[190] covid
[190] cdc
[189] picture
[189] age
[189] gives
[189] clearer
[189] opening
[189] eye
[189] dying

Top Words in Tweet in G4:
[75] _2019_ncov
[60] crashdebug_fr
[39] caudehenrion
[39] robertkennedyjr
[39] tuckercarlson
[39] cristianterhes
[38] gaelianprincess
[35] alainsebil
[33] sitting_bull_d
[26] veritediffusee

Top Words in Tweet in G5:
[130] covid
[104] cdc
[103] describe
[103] 000
[103] both
[103] omicron
[103] deaths
[103] heartbreaking
[103] 500
[103] see

Top Words in Tweet in G6:
[180] _2019_ncov
[56] beachmilk2
[56] spa_officiel
[31] c'est
[20] ce
[19] ils
[14] qu
[12] mais
[12] lui
[11] non

Top Words in Tweet in G7:
[108] #covid19
[106] cdcgov
[84] more
[65] booster
[51] updated
[47] protect
[44] spread
[44] getting
[43] bivalent
[43] yourself

Top Words in Tweet in G8:
[72] 木
[63] chibaken_kouhou
[55] 金
[49] になります
[49] の新型コロナウイルス感染症の情報
[49] 土日祝日を除く
[49] 詳細データについてはこちらからご覧ください
[49] 県ホームページの更新は翌日
[49] 新規感染者数
[48] 12

Top Words in Tweet in G9:
[14] covid
[8] safe
[8] women
[7] 40
[6] more
[6] vaccines
[6] shown
[6] rate
[6] 000
[4] death

Top Words in Tweet in G10:
[68] covid
[58] 19
[38] ncov
[24] 2019
[23] cases
[22] deaths
[19] increase
[19] inc
[19] recombinomics
[17] vaccine

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1008] estudos,relacionando
[1008] outras,revistas
[1008] tentativa,#suicídio
[1008] revistas,científicas
[1008] científicas,publicaram
[1008] ideação,suicida
[1008] publicaram,estudos
[1008] oms,outras
[1008] suicida,tentativa
[1008] #suicídio,vacina

Top Word Pairs in Tweet in G1:
[1007] estudos,relacionando
[1007] outras,revistas
[1007] científicas,publicaram
[1007] relacionando,ideação
[1007] revistas,científicas
[1007] oms,outras
[1007] publicaram,estudos
[1007] suicida,tentativa
[1007] tentativa,#suicídio
[1007] #suicídio,vacina

Top Word Pairs in Tweet in G2:
[112] _2019_ncov,frcsbraun
[63] frcsbraun,sante_gouv
[46] ah,ah
[34] beachmilk2,spa_officiel
[26] brunolemaire,gabrielattal
[25] ils,sont
[22] ils,ont
[21] _2019_ncov,ça
[21] _2019_ncov,c'est
[20] twittdeflo,_2019_ncov

Top Word Pairs in Tweet in G3:
[189] dying,covid
[189] released,eye
[189] gives,clearer
[189] eye,opening
[189] cdc,released
[189] covid,age
[189] technical,report
[189] report,gives
[189] clearer,picture
[189] opening,technical

Top Word Pairs in Tweet in G4:
[39] tuckercarlson,robertkennedyjr
[39] robertkennedyjr,cristianterhes
[35] caudehenrion,crashdebug_fr
[34] crashdebug_fr,gaelianprincess
[34] gaelianprincess,tuckercarlson
[25] alainsebil,caudehenrion
[24] cristianterhes,solobucketpo
[18] sitting_bull_d,alainsebil
[14] _2019_ncov,veritediffusee
[14] solobucketpond,niusmarco

Top Word Pairs in Tweet in G5:
[103] cdc,describe
[103] describe,500
[103] week,during
[103] both,heartbreaking
[103] 500,000
[103] heartbreaking,maddening
[103] during,omicron
[103] deaths,week
[103] covid,deaths
[103] see,cdc

Top Word Pairs in Tweet in G6:
[56] beachmilk2,spa_officiel
[47] _2019_ncov,beachmilk2
[10] _2019_ncov,strategieduchoc
[8] niusmarco,_2019_ncov
[5] sohesun,_2019_ncov
[5] spa_officiel,c'est
[5] _2019_ncov,c'est
[4] _2019_ncov,zoomzebre
[3] magnum_747,_2019_ncov
[3] qu,ils

Top Word Pairs in Tweet in G7:
[43] protect,yourself
[41] bivalent,#covid19
[41] updated,bivalent
[39] #covid19,booster
[39] friends,family
[39] family,indoors
[37] together,days
[37] cdcgov,more
[37] days,friends
[37] getting,together

Top Word Pairs in Tweet in G8:
[49] の新型コロナウイルス感染症の情報,新規感染者数
[49] 県ホームページの更新は翌日,土日祝日を除く
[49] 土日祝日を除く,になります
[49] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日
[48] 12,木
[36] 土に加え,水曜日も運営し
[36] 接種予約が堅調なことから,県営の集団接種会場において12月は火
[36] 県営の集団接種会場において12月は火,金
[36] おはようございます,接種予約が堅調なことから
[36] 水曜日も運営し,週4日実施とします

Top Word Pairs in Tweet in G9:
[6] more,40
[6] covid,vaccines
[6] 40,000
[6] women,shown
[6] 000,women
[5] shown,covid
[4] death,rate
[3] vaccines,safe
[3] statsguyuk,curfewx
[3] safety,problem

Top Word Pairs in Tweet in G10:
[38] covid,19
[23] 2019,ncov
[19] covid,cases
[19] ncov,recombinomics
[19] recombinomics,inc
[19] cases,increase
[14] ncov,19
[13] chadox1,ncov
[11] 2022,11
[9] updated,visit

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@twittdeflo
@fandemarlene
@immortellexiii
@cojmontalto
@niusmarco
@mukaqass
@skynet51517204
@cporteu
@zyrs10

Top Replied-To in G2:
@_2019_ncov
@twittdeflo
@fandemarlene
@immortellexiii
@cojmontalto
@mukaqass
@skynet51517204
@cporteu
@zyrs10
@xavierr36640842

Top Replied-To in G3:
@glassblue56
@aogieglo
@captaintrips74
@interpolated
@ezralbntseliot

Top Replied-To in G4:
@_2019_ncov
@alainsebil
@crashdebug_fr
@sitting_bull_d
@francoisboulo
@fandemarlene
@michel__leclair
@jeanefbey2
@pchaibriant
@twittdeflo

Top Replied-To in G6:
@_2019_ncov
@niusmarco
@sohesun
@eva___dark
@p_duval
@rtlfrance
@publicsenat
@6_genre
@guill2001
@donq_17

Top Replied-To in G7:
@thalia4596
@crazyems13

Top Replied-To in G8:
@ftwack

Top Replied-To in G9:
@handsomejacksyd
@doom37455413
@yanmartel89
@kellygoodmanphd
@johnsargent76
@vodkastudios
@tfknocks
@petersweden7
@safertowait
@cherylr56608129

Top Mentioned
Top Mentioned in Entire Graph:
@mpatriabrasil
@_2019_ncov
@drtomfrieden
@ibaraki_kouhou
@frcsbraun
@cdcgov
@jreinermd
@ministeriosalud
@beachmilk2
@spa_officiel

Top Mentioned in G1:
@mpatriabrasil

Top Mentioned in G2:
@_2019_ncov
@frcsbraun
@sante_gouv
@beachmilk2
@spa_officiel
@fandemarlene
@brunolemaire
@verity_france
@emmanuelmacron
@gabrielattal

Top Mentioned in G3:
@drtomfrieden
@hellozeik
@chakde8
@prparexcel
@kashyyk
@aogieglo
@mfngrift
@libssuckbigly
@djoke75

Top Mentioned in G4:
@crashdebug_fr
@_2019_ncov
@caudehenrion
@tuckercarlson
@robertkennedyjr
@cristianterhes
@gaelianprincess
@sitting_bull_d
@alainsebil
@veritediffusee

Top Mentioned in G5:
@jreinermd
@sciencemonkeyca
@drtomfrieden
@publichealthon

Top Mentioned in G6:
@beachmilk2
@spa_officiel
@_2019_ncov
@strategieduchoc
@zoomzebre
@niusmarco
@giustin52584244
@magnum_747
@dr_l_alexandre
@laurence0684

Top Mentioned in G7:
@cdcgov
@myrabatchelder
@mandatemasksus
@idsainfo
@us_fda
@maricopahealth
@drtomfrieden
@realtimecovid19
@ids
@idsafoundation

Top Mentioned in G8:
@chibaken_kouhou
@kumagai_chiba
@funwari_fuwari
@birdlover02122
@sukunabikona7
@mikito_777

Top Mentioned in G9:
@provaxtexan
@nuhope2022
@thskicksarefire
@idunsdaughter
@jimeeliberty
@scottstocker4
@andrewlazarus4
@aspalaasnasntyr
@tonybaduy
@mcfunny

Top Mentioned in G10:
@drml350phd

Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@jurylady5
@ecodaren
@matiere
@kat4obama
@citrus_kyoto
@lizditz
@botliberalisme
@personalfitnes3
@nekokasiya

Top Tweeters in G1:
@madrynha2012
@madrilenha
@bordinvania
@lazzarin_l
@bonnieximena
@angelicaguirele
@yec_terrza
@helenagsoo
@shushirlei
@celiagomes6

Top Tweeters in G2:
@threadreaderapp
@botliberalisme
@le_figaro
@bfmtv
@sylvita30
@lenine13
@mazenod10
@uniquecmoi
@yvespdb
@danubaud

Top Tweeters in G3:
@jurylady5
@kat4obama
@lizditz
@trigorosa
@carlyinnj
@on_bender
@murfad
@thumppooh
@lacadri34
@melodypuppydog

Top Tweeters in G4:
@debrouille92
@a1z0jf
@boblecentriste
@wef
@kittymiss141
@anneibiza13
@dadouaix
@pierrejovanovic
@pinsollet
@leblogalupus

Top Tweeters in G5:
@dollymad1812
@northbelle4
@the_og_g_ma
@ronilj261
@scott_squires
@lauraseriously1
@cindyb1333
@mr_jj_cakes
@nnorma192
@baylessmarilyn

Top Tweeters in G6:
@talullabellefle
@rtlfrance
@anabellatibo
@tabletc4
@tapanur
@starmediaphoto
@f_desouche
@publicsenat
@j2lm4u
@corinnetarrago

Top Tweeters in G7:
@adekleine
@tyberzannxxxx
@elevenbravo138
@monitor_ph
@messfixing
@epidatageek
@bregmanps
@cheriedelcarlo
@persephinae
@publichealthmap

Top Tweeters in G8:
@ttachibana0720
@unisindo
@sakuranokaori19
@soya_moon
@k6310msm
@5iu0czwla0sxrni
@nonmomi
@fu_asika
@rhythm_mars
@miwa_1107

Top Tweeters in G9:
@wesh
@doritmi
@fox35orlando
@wftv
@monstercoyliar
@news6wkmg
@mynews13
@mcfunny
@angryfleas
@nockit1

Top Tweeters in G10:
@personalfitnes3
@hephaestus7
@agargmd
@gate_15_analyst
@bettycjung
@manekicat_koban
@k_disastermsg
@ajlamesa
@urayasu_bot
@_hito_