NCoV, Twitter, 3/23/2022 5:13:48 PM, 273558


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NCoV_2022-03-23_01-36-01.xlsx
NCoV_2022-03-23_01-36-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 23, 2022
Short Description:
NCoV via NodeXL https://bit.ly/3qRhiCX
@_2019_ncov
@cdcgov
@roper_lab
@nytimes
@nih
@jcmacc1
@sabinehazanmd
@f250roush
@swaledalemutton
@louan07

Top hashtags:
#covid19
#新型コロナウイルス感染症情報
#covid_19
#donbass
#ukronazis
#covaxin
#코로나19
#예방접종
#방역
#tonyfauci

Description:
Description
The graph represents a network of 6,138 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 March 2022 at 08:51 UTC.

The requested start date was Wednesday, 23 March 2022 at 00:01 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 4-day, 8-hour, 49-minute period from Friday, 18 March 2022 at 03:37 UTC to Tuesday, 22 March 2022 at 12:26 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 : 6138
Unique Edges : 4788
Edges With Duplicates : 14026
Total Edges : 18814
Number of Edge Types : 5
Retweet : 4415
MentionsInRetweet : 6645
Replies to : 2438
Mentions : 4503
Tweet : 813
Self-Loops : 867
Reciprocated Vertex Pair Ratio : 0.0371722535678725
Reciprocated Edge Ratio : 0.07168
Connected Components : 518
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 3515
Maximum Edges in a Connected Component : 13181
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.375093
Graph Density : 0.000248879009122272
Modularity : 0.412491
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,138 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 March 2022 at 08:51 UTC.

The requested start date was Wednesday, 23 March 2022 at 00:01 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 4-day, 8-hour, 49-minute period from Friday, 18 March 2022 at 03:37 UTC to Tuesday, 22 March 2022 at 12:26 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:
[554] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[115] https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/kansen-shiyo-sihyou.html
[98] https://www.pref.hiroshima.lg.jp/site/2019-ncov/#status
[70] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/masking-science-sars-cov2.html
[41] https://coronavirus.jhu.edu/data/mortality
[39] http://ncov.mohw.go.kr
[39] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[37] https://apps.who.int/iris/bitstream/handle/10665/352469/WHO-2019-nCoV-vaccines-SAGE-recommendation-BBV152-annexes-2022.1-eng.pdf?sequence=1
[33] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[32] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/children-teens.html

Top URLs in Tweet in G1:
[27] https://www.state.gov/wp-content/uploads/2019/02/05-829-Ukraine-Weapons.pdf
[22] https://www.parismatch.com/Actu/International/Trump-aurait-gele-des-fonds-destines-a-l-Ukraine-avant-de-demander-une-enquete-sur-Biden-1648672
[9] https://www.youtube.com/watch?v=UeDRYWk8zRM&feature=youtu.be

[7] https://twitter.com/lereveildatlas/status/1504065375679488007?t=9q2NAm9SjQJPltsGmJa3yQ&s=19
[5] https://twitter.com/FemmeRebelle/status/1504559154589016070
[4] https://pgibertie.com/2022/03/21/vos-enfants-et-petits-enfants-ny-echapperont-pas-cest-pour-septembre/
[3] https://twitter.com/covide_de/status/1505105768776802304?s=20&t=Rh4o7OVSU2pGn-ZZSWPwNg
[3] https://iphonesoft.fr/2022/03/16/ukraine-air-credit-social-application-diia
[3] https://odysee.com/@Vivresainement:f/ukraine:ec
[2] https://twitter.com/_2019_nCoV/status/1505168316624781318?s=20&t=csOduYKtxwncW7_xLM6b8A

Top URLs in Tweet in G2:
[27] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/pregnancy.html
[5] http://ncov.mohw.go.kr/en/
[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
[3] https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#cases_casesper100klast7days
[3] https://rense.com//general96/the-ncov-death-ship-in-tokyo-bay-swine-flu-as-round-1-and-more.php
[2] https://www.cdc.gov/coronavirus/2019-ncov/whats-new-all.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/booster-shot.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/interactive-ventilation-tool.html

Top URLs in Tweet in G3:
[3] https://twitter.com/doudoubitchou/status/1503995930911162370?s=21
[2] https://twitter.com/hypermestres/status/1499724149496946691
[2] https://twitter.com/hypermestres/status/1504831410338734085
[1] https://twitter.com/Sante_Gouv/status/1505876882553671680
[1] https://twitter.com/hypermestres/status/1504146554378203140
[1] https://twitter.com/doudoubitchou/status/1504779767052124161?s=21
[1] https://twitter.com/doudoubitchou/status/1504789529563181087?s=21
[1] https://twitter.com/AlicePolyanska/status/1504812537782718467?s=20&t=ynZIR3dMsmkWJkG9Yc2q2w
[1] https://www.youtube.com/watch?v=VLXtWfTcLC4&feature=youtu.be

[1] https://www.humanite.fr/monde/ukraine/ukraine-volodymyr-zelensky-piege-par-les-pandora-papers-723110

Top URLs in Tweet in G4:
[517] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[8] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2502-idsc/iasr-in/10464-496d03.html
[4] 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/shiryouteikyou.html
[3] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220317_kaijo.html
[2] http://urx.morimo.info/oWhP?h=urx.space
[2] https://twitcasting.tv/planetrock2014
[2] https://www.pref.ibaraki.jp/1saigai/2019-ncov/documents/220318_shiryoteikyo.pdf
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/220315_kaiken.html
[1] https://www.pref.ibaraki.jp/1saigai/2019-ncov/covid-19_vaccine/team.html

Top URLs in Tweet in G5:
[9] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/casos-confirmados-en-chile-covid-19/
[1] https://apps.who.int/iris/bitstream/handle/10665/352396/WHO-2019-nCoV-Surveillance-Guidance-2022.1-spa.pdf
[1] https://www.minsal.cl/nuevo-coronavirus-2019-ncov/informe-epidemiologico-covid-19/

Top URLs in Tweet in G6:
[7] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html
[2] https://openvaers.com
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/facts.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/vaers.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mRNA.html?s_cid=11347:%2BmRNA%20%2Bvaccines:sem.b:p:RG:GM:gen:PTN:FY21
[1] https://www.publichealthontario.ca/-/media/documents/ncov/vaccines/2020/12/covid-19-guidance-aesis.pdf?la=en
[1] https://www.cdc.gov/coronavirus/2019-ncov/travelers/face-masks-public-transportation.html#:~:text=Yes%2C%20the%20Order%20requires,at%20a%20transportation%20hub
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/why-measure-effectiveness/breakthrough-cases.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/specific-groups/allergies.html?s_cid=10480:covid%20vaccine%20allergy:sem.ga:p:RG:GM:gen:PTN:FY21
[1] https://www.cdc.gov/coronavirus/2019-ncov/communication/print-resources.html?Sort=Date%3A%3Adesc

Top URLs in Tweet in G7:
[19] https://www.pref.ibaraki.jp/1saigai/2019-ncov/index.html
[10] https://systems.jhu.edu/research/public-health/ncov/
[9] https://pubmed.ncbi.nlm.nih.gov/34341358/
[9] https://www.cdc.gov/coronavirus/2019-ncov/your-health/free-masks.html?permalink=67F8CACA1132667F5A94DB1D8C3A3145F7165A75EEAB324B3EA4779CA6FAC9CF
[5] https://www.cdc.gov/coronavirus/2019-ncov/your-health/covid-by-county.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html
[4] 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=
[4] https://tools.cdc.gov/
[3] https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Top URLs in Tweet in G8:
[2] https://twitter.com/BruceNotusa/status/1505256909850484737?t=x32BNYD_Ec7pLRfd_2oQPQ&s=19
[1] https://twitter.com/arssenievdaniel/status/1505652680789790720
[1] https://twitter.com/lm93390/status/1505197987894546437
[1] https://twitter.com/55bellechasse/status/1505211652198830092?s=21
[1] https://twitter.com/55bellechasse/status/1505199710780407812?s=21
[1] https://www.ouest-france.fr/monde/guerre-en-ukraine/temoignage-dans-la-base-ukrainienne-de-yavoriv-un-sifflement-terrible-avant-la-deflagration-0edb2290-a78c-11ec-95bd-846f9f6707ea
[1] https://twitter.com/carolinelessar8/status/1505974522801012739?s=21
[1] https://twitter.com/liberty30pour/status/1505990835178930179?s=21
[1] https://twitter.com/loic_swirgiel/status/1505934242538307588?s=21
[1] https://twitter.com/55bellechasse/status/1506014372094742531?s=21

Top URLs in Tweet in G9:
[4] http://ncov.mohw.go.kr/en/bdBoardList.do?brdId=16&brdGubun=161&dataGubun=&ncvContSeq=&contSeq=&board_id=
[1] https://twitter.com/EricTopol/status/1503913507665764352
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html#anchor_47145
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/-2019-ncov-studies-research-academia/943225-virological-characteristics-of-sars-cov-2-ba-2-variant-preprint#post943225

Top URLs in Tweet in G10:
[1] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/recommendations/immuno.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/vaccine-induced-immunity.html

Top Domains
Top Domains in Tweet in Entire Graph:
[582] ibaraki.jp
[575] cdc.gov
[266] lg.jp
[172] twitter.com
[115] recombinomics.co
[90] go.kr
[82] who.int
[81] go.jp
[54] gob.es
[52] jhu.edu

Top Domains in Tweet in G1:
[107] twitter.com
[40] youtube.com
[27] state.gov
[22] parismatch.com
[8] odysee.com
[7] pgibertie.com
[5] rumble.com
[4] chinamission.be
[3] controlecitoyenelection.com
[3] lemonde.fr

Top Domains in Tweet in G2:
[82] cdc.gov
[5] go.kr
[3] rense.com
[1] justia.com
[1] dcopublichealth.org
[1] tableau.com
[1] lbl.gov
[1] osha.gov
[1] twitter.com

Top Domains in Tweet in G3:
[12] twitter.com
[1] youtube.com
[1] humanite.fr
[1] pollie.app
[1] archive.org

Top Domains in Tweet in G4:
[532] ibaraki.jp
[8] go.jp
[3] twitter.com
[2] morimo.info
[2] twitcasting.tv

Top Domains in Tweet in G5:
[10] minsal.cl
[1] who.int

Top Domains in Tweet in G6:
[20] cdc.gov
[2] openvaers.com
[1] publichealthontario.ca

Top Domains in Tweet in G7:
[115] recombinomics.co
[90] cdc.gov
[24] ibaraki.jp
[17] nih.gov
[16] lg.jp
[15] twitter.com
[10] go.jp
[10] jhu.edu
[8] scholarsportal.info
[6] bvsalud.org

Top Domains in Tweet in G8:
[12] twitter.com
[1] ouest-france.fr
[1] thegrayzone.com

Top Domains in Tweet in G9:
[4] go.kr
[1] twitter.com
[1] cdc.gov
[1] flutrackers.com

Top Domains in Tweet in G10:
[2] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[627] covid19
[501] 新型コロナウイルス感染症情報
[464] covid_19
[124] donbass
[114] ukronazis
[37] covaxin
[30] 코로나19
[30] 예방접종
[30] 방역
[29] tonyfauci



Top Hashtags in Tweet in G1:
[119] donbass
[109] ukronazis
[18] covid_19
[13] ukraine
[12] zelensky
[11] poutine
[11] marioupol
[10] mariupol
[9] azov
[9] kiev

Top Hashtags in Tweet in G2:
[460] covid19
[29] tonyfauci
[11] stayinformed
[8] covid
[5] omicron
[1] vaccines
[1] boosters
[1] pandemic
[1] vaccinate
[1] wearamask

Top Hashtags in Tweet in G3:
[4] soumy
[4] ukrainiennes
[3] donbass
[3] ukronazis
[1] mackinsey
[1] russieukraine
[1] zelensky
[1] marine2022
[1] marinepresidente
[1] poutinswar

Top Hashtags in Tweet in G4:
[486] 新型コロナウイルス感染症情報
[18] 茨城県
[10] 守谷市新型コロナウイルス関連情報
[10] 守谷市
[8] 新型コロナウイルス
[1] ワクチン接種3回目

Top Hashtags in Tweet in G5:
[445] covid_19
[1] 21marzo
[1] covid

Top Hashtags in Tweet in G7:
[22] covid19
[8] coronavirus
[7] 新型コロナウイルス
[5] covid
[5] sarscov2
[4] trustedcovidinfo
[4] 結城市
[3] cdc
[3] wuhan
[3] research

Top Hashtags in Tweet in G8:
[2] macron
[2] donbass
[2] ukronazis
[1] europe
[1] otan
[1] commissioneuropéenne
[1] ursulavonderleyen
[1] thierrybreton
[1] covid19
[1] vaccination

Top Hashtags in Tweet in G9:
[4] covid19

Top Words
Top Words in Tweet in Entire Graph:
[2793] _2019_ncov
[917] casos
[802] covid
[728] 19
[682] co
[627] #covid19
[615] ibaraki_kouhou
[591] cdc
[516] ce
[511] cdcgov

Top Words in Tweet in G1:
[2152] _2019_ncov
[416] ce
[333] c'est
[276] lm93390
[266] par
[217] ils
[205] guerre
[204] mais
[191] sont
[185] ont

Top Words in Tweet in G2:
[500] cdcgov
[460] #covid19
[344] cdc
[339] vaccine
[329] pfizer
[327] adults
[327] doses
[326] hospitalized
[326] those
[326] moderna

Top Words in Tweet in G3:
[317] louan07
[263] tous
[260] aux
[255] belgrade
[255] l'otan
[254] supporters
[254] l'étoile
[254] rouge
[254] série
[254] banderoles

Top Words in Tweet in G4:
[597] ibaraki_kouhou
[487] 詳細は
[487] co
[486] #新型コロナウイルス感染症情報
[486] 本日の新規陽性者数
[486] 現在の入院者数
[486] うち重症者数
[486] 0iqvdzsuud
[450] 4名
[433] 本日の死亡者数

Top Words in Tweet in G5:
[891] casos
[446] informe
[446] fallecidos
[445] diario
[445] #covid_19
[445] nuevos
[445] activos
[445] registrados
[444] marzo
[438] ministeriosalud

Top Words in Tweet in G6:
[7] vaers
[7] kabrina05301127
[7] atomant610
[7] bluej11274903
[7] senronjohnson
[6] openvaers
[6] data
[6] mcfunny
[6] orthrus1
[5] cdc

Top Words in Tweet in G7:
[222] covid
[165] ncov
[134] 2019
[123] 19
[117] cases
[116] increase
[116] deaths
[116] inc
[115] recombinomics
[36] vaccine

Top Words in Tweet in G8:
[147] _2019_ncov
[101] 55bellechasse
[90] yvespdb
[70] carene1984
[69] gillesremyrey
[63] carinemontaner
[50] mais
[44] fait
[43] poutine
[42] grâce

Top Words in Tweet in G9:
[95] cases
[95] south
[95] 000
[95] today
[93] erictopol
[92] currently
[92] leading
[92] world
[92] confirmed
[92] korea

Top Words in Tweet in G10:
[3] people
[3] immunity
[2] robhon_
[2] ponycar06
[2] ingersolrobert
[2] johndublin10
[2] narvuntien
[2] more
[2] anyone
[2] better

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[502] 詳細は,co
[501] co,0iqvdzsuud
[496] covid,19
[494] ibaraki_kouhou,#新型コロナウイルス感染症情報
[445] informe,diario
[445] diario,#covid_19
[445] casos,nuevos
[445] casos,activos
[445] fallecidos,registrados
[434] ministeriosalud,informe

Top Word Pairs in Tweet in G1:
[261] lm93390,_2019_ncov
[112] soldats,russes
[110] par,ce
[109] joug,#ukronazis
[107] _2019_ncov,#donbass
[107] #donbass,l'accueil
[107] l'accueil,soldats
[107] russes,par
[107] ce,couple
[107] couple,d'anciens

Top Word Pairs in Tweet in G2:
[325] adults,hospitalized
[325] hospitalized,#covid19
[325] #covid19,those
[325] those,doses
[325] doses,pfizer
[325] moderna,vaccine
[325] vaccine,90
[323] pfizer,biontech
[322] biontech,moderna
[322] cdcgov,cdc

Top Word Pairs in Tweet in G3:
[254] supporters,l'étoile
[254] l'étoile,rouge
[254] rouge,belgrade
[254] belgrade,série
[254] série,banderoles
[254] banderoles,rappellent
[254] rappellent,aux
[254] aux,états
[254] états,unis
[254] unis,l'otan

Top Word Pairs in Tweet in G4:
[487] 詳細は,co
[486] co,0iqvdzsuud
[479] ibaraki_kouhou,#新型コロナウイルス感染症情報
[357] 0iqvdzsuud,検査前で症状がある方
[324] うち重症者数,4名
[324] 4名,本日の死亡者数
[204] 本日の死亡者数,2名
[204] 2名,詳細は
[157] うち重症者数,5名
[124] #新型コロナウイルス感染症情報,3月18日

Top Word Pairs in Tweet in G5:
[445] informe,diario
[445] diario,#covid_19
[445] casos,nuevos
[445] casos,activos
[445] fallecidos,registrados
[434] ministeriosalud,informe
[208] 555,casos
[208] nuevos,55
[208] 55,103
[208] 103,casos

Top Word Pairs in Tweet in G6:
[7] atomant610,bluej11274903
[7] bluej11274903,senronjohnson
[6] kabrina05301127,orthrus1
[6] orthrus1,atomant610
[3] imageless18,rhiansilverwolf
[3] frankdelia7,sassygirld1
[3] sassygirld1,mrhawkes
[3] mrhawkes,ixeno
[3] ixeno,bglthmnd
[3] thomasharrigan8,thefrankmanmn

Top Word Pairs in Tweet in G7:
[133] 2019,ncov
[115] cases,increase
[115] ncov,recombinomics
[115] recombinomics,inc
[113] covid,cases
[88] covid,19
[26] chadox1,ncov
[26] ncov,19
[16] 19,vaccine
[15] casos,confirmados

Top Word Pairs in Tweet in G8:
[57] gillesremyrey,carene1984
[56] yvespdb,gillesremyrey
[45] 55bellechasse,yvespdb
[36] ernest,hemingway
[36] hemingway,dit
[36] dit,courage
[36] courage,affronter
[36] affronter,pression
[36] pression,grâce
[36] grâce,sais

Top Word Pairs in Tweet in G9:
[95] 000,today
[92] currently,leading
[92] leading,world
[92] world,confirmed
[92] confirmed,cases
[92] cases,south
[92] south,korea
[92] korea,descending
[92] descending,down
[92] down,334

Top Word Pairs in Tweet in G10:
[2] better,immunity
[2] immunity,people

Top Replied-To
Top Replied-To in Entire Graph:
@_2019_ncov
@55bellechasse
@vitoud69
@tegnererik
@desvou
@lm93390
@axdevelopment
@louan07
@nathlry17
@golan_trevize__

Top Replied-To in G1:
@_2019_ncov
@vitoud69
@tegnererik
@desvou
@axdevelopment
@lm93390
@lematkb1
@cegil37
@soogood15546653
@lukesky04502422

Top Replied-To in G2:
@cdcgov
@potus
@yvyvivy
@stevenbritt13
@slater1619
@mhdksafa
@simbaslaststand
@abraarkaran
@bryanthebabbler

Top Replied-To in G3:
@_2019_ncov
@louan07
@nadia21971566
@mekessekiddy
@marcxime2
@beabwboop
@piaire2
@hypermestres
@hajmoussalhaj
@zuffy23

Top Replied-To in G5:
@z4p4ll0
@gmosalgado
@siberian_z
@ministeriosalud

Top Replied-To in G6:
@kabrina05301127
@imageless18
@g_ballew
@americalovingrn
@ogilville1
@burgerlab12
@handmadekathy
@rtheatheist
@hawkinatx
@doritmi

Top Replied-To in G7:
@botoronga

Top Replied-To in G8:
@_2019_ncov
@55bellechasse
@lilou3692
@alchimistno_kyc
@antigone7508
@geoffrinv
@robertopara08
@off_h3
@restonss
@den_pero

Top Replied-To in G10:
@werocktheplanet
@cbeckj

Top Mentioned
Top Mentioned in Entire Graph:
@_2019_ncov
@ibaraki_kouhou
@cdcgov
@ministeriosalud
@louan07
@lm93390
@yvespdb
@55bellechasse
@chibaken_kouhou
@kremlinrussia_e

Top Mentioned in G1:
@_2019_ncov
@lm93390
@christi31891566
@isabelleidec
@flymachabert
@yvespdb
@louan07
@jaclostermann
@irene63399777
@cielili1

Top Mentioned in G2:
@cdcgov
@cdcdirector
@potus
@vp
@whcos
@benwakana46
@ambrice46
@davidakesslermd
@gregggonsalves
@cdcemergency

Top Mentioned in G3:
@louan07
@_2019_ncov
@kremlinrussia_e
@zyrs10
@jaimehorta17
@fitzlemonade1
@secretwar_
@el_dic_tator
@thalassa2008
@lusitanopinto

Top Mentioned in G4:
@ibaraki_kouhou
@tsukubais
@miakiza20100906
@bb45_colorado
@moriya_citypro
@planetrock2014
@akihanhan

Top Mentioned in G5:
@ministeriosalud
@natho47
@ccuadradon
@uchileradio
@bacigalupe
@gabrielboric
@coltrita
@german_arias72

Top Mentioned in G6:
@atomant610
@bluej11274903
@senronjohnson
@mcfunny
@orthrus1
@andylumm
@chrisjohnsonmd
@sassygirld1
@cappsie
@skepticalmutant

Top Mentioned in G7:
@drml350phd
@bartsnhslibrary
@ruyaknight

Top Mentioned in G8:
@_2019_ncov
@yvespdb
@carene1984
@55bellechasse
@gillesremyrey
@carinemontaner
@alainhoupert
@france_soir
@robertopara08
@carterj37919661

Top Mentioned in G9:
@erictopol
@cdcgov
@cdc_kr
@ourworldindata
@asosin
@flutrackers

Top Mentioned in G10:
@robhon_
@ponycar06
@ingersolrobert
@johndublin10
@narvuntien
@organicdot
@jimdtweet
@rockandroll432
@kenneth72712993
@bubbasranch

Top Tweeters
Top Tweeters in Entire Graph:
@sectest9
@danielpilotte1
@hjlv2378
@tradermarcocost
@matiere
@british_airways
@rjber15
@m2bliquis
@_redfrog
@hokcenayeokcena

Top Tweeters in G1:
@danielpilotte1
@altai_armande
@lagrosta
@botliberalisme
@thesun
@lucmatte9
@nytimes
@m75sylvie
@ouestfrance
@delalande72

Top Tweeters in G2:
@rjber15
@lavenderblue27
@adekleine
@tyberzannxxxx
@baronianconsult
@bad_woof
@eilonwy24
@austinlouis5
@laura78703
@terryg1979

Top Tweeters in G3:
@m2bliquis
@thalassa2008
@albi2103
@avril_sylvie
@imonaxos
@mydaphne
@passionsdelisah
@porthosmd
@prototype2222
@ceau_grouh

Top Tweeters in G4:
@citrus_kyoto
@amzkhb
@bb45_colorado
@kurohoshi_p
@tsuittarian
@_7479989014082
@noel_hasui
@tsuka_kazunee
@shirayukihime_p
@himawari172309

Top Tweeters in G5:
@fabiparraguezm
@alvaromolinacl
@cristinamachuca
@akelagris
@isabellarulis
@borisbarrera
@infozeus
@felipeagalaz95
@azulvictoria
@gonzaloxrojas

Top Tweeters in G6:
@lizditz
@adevotedyogi
@doritmi
@scepticalaussie
@sapienist
@monstercoyliar
@kath2cats
@wjack76995
@mcfunny
@jsaholmes

Top Tweeters in G7:
@matiere
@denebo1a1eonis
@hamuko_5364
@branemark1
@poospsr
@jp_kenchan_dayo
@minsumi77
@youtubefitness3
@leftcoastbabe
@costrike

Top Tweeters in G8:
@yvespdb
@sandrafellous_
@janyabadi
@nath92798323
@lejdd
@lecorbonoir
@tns15
@totozozo5
@chriss17031
@tro_breiz

Top Tweeters in G9:
@_redfrog
@ansisegle
@njdoc
@belladonamodels
@eu504
@cupcakemrs1
@marypgkeating
@chloedancer
@jeannefisher17
@globalcitizenln

Top Tweeters in G10:
@robmeekel
@werocktheplanet
@oscarswild1
@asinister
@geraldkutney
@ram0667
@dawntj90
@chimera414
@keithamccluskey
@louiscy72344053


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