SARS-COV, Twitter, 7/31/2020 9:26:35 AM, 231475


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SARS-COV_2020-07-31_01-55-13.xlsx
SARS-COV_2020-07-31_01-55-13.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 31, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/2P8RFdv
@jairbolsonaro
@tezisold
@donaldjtrumpjr
@amicah1
@rebeccaquinn7
@bennyjohnson
@realdonaldtrump
@john_frank1954
@helpmebcatholic
@jack

Top hashtags:
#qplusnews
#closys
#bolsonarotemrazao
#coronavirus
#covid19

Description:
Description
The graph represents a network of 6,127 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 09:00 UTC.

The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 4-day, 13-hour, 36-minute period from Saturday, 25 July 2020 at 22:50 UTC to Thursday, 30 July 2020 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 : 6127
Unique Edges : 2628
Edges With Duplicates : 8879
Total Edges : 11507
Number of Edge Types : 5
Replies to : 612
Mentions : 1487
Tweet : 299
Retweet : 4105
MentionsInRetweet : 5004
Self-Loops : 329
Reciprocated Vertex Pair Ratio : 0.00629307761462391
Reciprocated Edge Ratio : 0.0125074449076831
Connected Components : 495
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 3642
Maximum Edges in a Connected Component : 7708
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.284544
Graph Density : 0.000178931092932749
Modularity : 0.537609
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,127 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 09:00 UTC.

The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 4-day, 13-hour, 36-minute period from Saturday, 25 July 2020 at 22:50 UTC to Thursday, 30 July 2020 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 : SARS-COV
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:
[279] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[18] https://pubmed.ncbi.nlm.nih.gov/16115318/
[13] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/#__ffn_sectitle
[7] https://pubmed.ncbi.nlm.nih.gov/21079686/
[6] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69
[6] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-0771-4
[6] https://francis.naukas.com/2020/07/20/los-linfocitos-t-y-la-inmunidad-cruzada-entre-sarbecovirus-sars-cov-y-sars-cov-2/
[5] https://onenewsnow.com/perspectives/bryan-fischer/2020/04/27/fauci-knew-about-hcq-in-2005-nobody-needed-to-die
[4] https://pubmed.ncbi.nlm.nih.gov/15351731/
[4] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=http://link.springer.com/article/10.1186/1743-422X-2-69

Top URLs in Tweet in G1:
[2] https://twitter.com/jairbolsonaro/status/1286994557440348160?s=20
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255455/
[1] https://www.rich.co.ke/media/docs/year
[1] of
[1] the
[1] virus
[1] july12.pdf
[1] https://www.instagram.com/accounts/login/?next=/p/CDFUCi0ntIC7uXVXYAuerUSbZoAjc76_7nQMG00/%3Figshid%3D1sx2j5t4nub4p

Top URLs in Tweet in G2:
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-0771-4

Top URLs in Tweet in G3:
[5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[2] http://qplusnews.com/closys-mouthwash-kills-sars-cov
[2] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2820%2930296-6%2Ffulltext&rc=0
[1] https://twitter.com/presscoreca/status/1284472866734473216
[1] https://twitter.com/true_pundit/status/1288632925429301248
[1] https://www.sciencedirect.com/science/article/pii/S0006291X0401839X
[1] https://pubmed.ncbi.nlm.nih.gov/16115318/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/?fbclid=IwAR0LGKCsaH0UOiX9oxtQzUeiCkGC192ISamJh6lJ2TigpQqWHoLXh9hozdE
[1] https://onenewsnow.com/perspectives/bryan-fischer/2020/04/27/fauci-knew-about-hcq-in-2005-nobody-needed-to-die
[1] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69

Top URLs in Tweet in G4:
[207] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/

Top URLs in Tweet in G5:
[14] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[4] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69
[3] https://pubmed.ncbi.nlm.nih.gov/16115318/
[2] http://arxiv.org/abs/2007.13469v1?utm_source=dlvr.it&utm_medium=twitter
[2] https://twitter.com/biorxivpreprint/status/1273763824777248771
[1] https://www.meneame.net/m/ciencia/linfocitos-t-inmunidad-cruzada-entre-sarbecovirus-sars-cov-sars
[1] https://science.sciencemag.org/content/sci/early/2020/07/22/science.abc5881.full.pdf
[1] https://www.baovemvn.com/2020/07/chu-quan-la-se-phai-tra-gia-at-vi-sars.html?utm_source=dlvr.it&utm_medium=twitter
[1] https://elmundo.hn/bolsonaro-da-negativo-a-nueva-prueba-del-covid-19/
[1] https://l.facebook.com/l.php?u=https://www.cliccamaqua.com.br/noticia/56552/presidente-jair-bolsonaro-diz-que-teste-de-coronavirus-deu-negativo.html&h=AT2Bc6LgjiRSrXfEk92VUQfI5DuhI6aF8S0gLTgYj6djOahBuKXpL-NPkEeAv2imgOuPoLZbWwMVMwY48cB5A12iPNGl_Ph1aHf9iEH_AHUqCrqpcAAiMGgQdA6NIqXM&s=1

Top URLs in Tweet in G6:
[8] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/#__ffn_sectitle
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[1] https://www.biomedcentral.com/epdf/10.1186/1743-422X-2-69?sharing_token=_CfN4x4bBIiD5fEzVmni92_BpE1tBhCbnbw3BuzI2RN2bX9mbE94rdZvafnicLkdHOFkGvNHsnDDaWYEZvAiynhGClYkFEAEW2bQoC8bH7tZgiq-HCAM0zTj1sm2SwillLH8Jkf5aK5GvNBEhtCU1g%3D%3D
[1] https://twitter.com/Breaking911/status/1288604700661764098
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/?fbclid=IwAR1Pl2DOqFN5mtcAkcqq4Vy_m1qzmIsv2xHmNvCp54Wk5_cVy0k5OeuQA48
[1] https://www.telegraph.co.uk/global-health/science-and-disease/coronaviruses-linked-sars-cov-2-have-circulating-bats-decades/
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41564-020-0771-4
[1] https://twitter.com/fleccas/status/1288172460156710915
[1] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=http://link.springer.com/article/10.1007/s12250-018-0009-2
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141560/

Top URLs in Tweet in G7:
[10] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[6] https://pubmed.ncbi.nlm.nih.gov/21079686/
[4] https://www.healio.com/pediatrics/respiratory-infections/news/online/%7B1adbec96-e53b-4d62-9eef-d0672970b61d%7D/chloroquine-azithromycin-combination-decreased-respiratory-gastrointestinal-tract-infections
[3] https://onenewsnow.com/perspectives/bryan-fischer/2020/04/27/fauci-knew-about-hcq-in-2005-nobody-needed-to-die
[1] https://twitter.com/xirritated/status/1288605026445918215
[1] https://creakyjoints.org/treatment/hydroxychloroquine-lowers-heart-risk-lupus-rheumatoid-arthritis/
[1] https://c19study.com/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/pdf/1743-422X-2-69.pdf

Top URLs in Tweet in G8:
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/#__ffn_sectitle
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fijidonline.com%2Farticle%2FS1201-9712%2820%2930534-8%2Ffulltext&rc=0
[1] https://stillnessinthestorm.com/2020/05/fauci-knew-about-hcq-in-2005-nobody-needed-to-die/

Top URLs in Tweet in G9:
[1] https://twitter.com/BillGates/status/1288606082248486913
[1] https://twitter.com/BillGates/status/1288615136777760771
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733787/

Top URLs in Tweet in G10:
[4] https://pubmed.ncbi.nlm.nih.gov/15351731/
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.cell.com%2Fcell%2Fpdf%2FS0092-8674%2820%2930229-4.pdf&rc=0
[2] https://europepmc.org/article/MED/32142651
[2] https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1001176
[1] https://en.m.wikipedia.org/wiki/Severe_acute_respiratory_syndrome–related_coronavirus
[1] https://cancerdiscovery.aacrjournals.org/content/4/11/1310
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3020023/
[1] https://pubmed.ncbi.nlm.nih.gov/16115318/
[1] https://www.biorxiv.org/content/10.1101/2020.07.22.216150v1
[1] https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69#Ack1

Top Domains
Top Domains in Tweet in Entire Graph:
[352] nih.gov
[41] twitter.com
[19] nature.com
[12] elsevierhealth.com
[11] biorxiv.org
[9] biomedcentral.com
[8] springer.com
[6] maghreb-post.de
[6] naukas.com
[5] doi.org

Top Domains in Tweet in G1:
[2] twitter.com
[1] nih.gov
[1] co.ke
[1] instagram.com

Top Domains in Tweet in G2:
[1] nature.com

Top Domains in Tweet in G3:
[7] nih.gov
[2] twitter.com
[2] qplusnews.com
[2] elsevierhealth.com
[1] sciencedirect.com
[1] onenewsnow.com
[1] biomedcentral.com
[1] wikipedia.org
[1] truepundit.com

Top Domains in Tweet in G4:
[207] nih.gov

Top Domains in Tweet in G5:
[23] nih.gov
[17] twitter.com
[4] biomedcentral.com
[2] sciencemag.org
[2] com.mx
[2] instagram.com
[2] sciencedirect.com
[2] elsevierhealth.com
[2] springer.com
[2] arxiv.org

Top Domains in Tweet in G6:
[14] nih.gov
[2] twitter.com
[1] biomedcentral.com
[1] co.uk
[1] nature.com
[1] springer.com

Top Domains in Tweet in G7:
[17] nih.gov
[4] healio.com
[3] onenewsnow.com
[1] twitter.com
[1] creakyjoints.org
[1] c19study.com

Top Domains in Tweet in G8:
[4] nih.gov
[1] elsevierhealth.com
[1] stillnessinthestorm.com

Top Domains in Tweet in G9:
[2] twitter.com
[2] nih.gov

Top Domains in Tweet in G10:
[6] nih.gov
[3] elsevierhealth.com
[2] europepmc.org
[2] plos.org
[1] wikipedia.org
[1] aacrjournals.org
[1] biorxiv.org
[1] biomedcentral.com
[1] nature.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[63] qplusnews
[63] closys
[34] bolsonarotemrazao
[29] coronavirus
[22] covid19
[8] hydroxychloroquine
[8] sarscov2
[7] kawasaki
[6] chloroquine
[5] cloroquinasalvavidas



Top Hashtags in Tweet in G1:
[1] covid19

Top Hashtags in Tweet in G3:
[63] qplusnews
[63] closys
[5] hydroxychloroquine
[4] chloroquine
[2] fraudfauci
[1] maga
[1] fakenews
[1] failuretrump

Top Hashtags in Tweet in G5:
[4] covid19
[2] internacional
[2] coronavirus
[2] interferón
[1] conspiracytheory
[1] conspiranoicos
[1] mundo
[1] cloroquinasalvavidas
[1] odx
[1] entérate

Top Hashtags in Tweet in G6:
[7] coronavirus
[7] sarscov2
[1] hydroxycholoroquine
[1] hydroxychloroquine
[1] wakeupamerica
[1] hcqworks
[1] hcqworksfauciknewin2005
[1] livesmatter
[1] presidenttrump
[1] bullrun

Top Hashtags in Tweet in G7:
[4] kag

Top Hashtags in Tweet in G8:
[2] hcqworksfauciknewin2005
[1] fauci

Top Hashtags in Tweet in G9:
[1] newyorkprotests
[1] michiganprotest
[1] peru

Top Hashtags in Tweet in G10:
[1] covid19
[1] hydroxychloroquine
[1] smokinggun

Top Words
Top Words in Tweet in Entire Graph:
[6207] sars
[6022] cov
[2814] virus
[2377] pcr
[2367] negativo
[2286] dia
[2283] bom
[2280] jairbolsonaro
[853] año
[846] genéticamente

Top Words in Tweet in G1:
[2268] sars
[2268] cov
[2267] negativo
[2266] jairbolsonaro
[2266] pcr
[2262] bom
[2262] dia
[4] presidente
[4] postou
[4] hoje

Top Words in Tweet in G2:
[2523] virus
[1682] sars
[1682] cov
[841] pasada
[841] estudio
[841] separaron
[841] genéticamente
[841] hacia
[841] año
[841] 200

Top Words in Tweet in G3:
[213] sars
[195] cov
[126] mouthwash
[69] studies
[67] vitro
[66] over
[65] shown
[63] #qplusnews
[63] #closys
[63] kills

Top Words in Tweet in G4:
[224] sars
[224] cov
[215] 2005
[214] against
[213] effective
[212] nih
[212] confirmed
[212] hydroxychloroquine
[208] psychictimo
[207] mitchellvii

Top Words in Tweet in G5:
[242] sars
[233] cov
[36] virus
[30] coronavirus
[28] infection
[27] 2005
[25] chloroquine
[20] covid
[19] mers
[17] 19

Top Words in Tweet in G6:
[59] sars
[46] cov
[20] fda_drug_info
[19] 2005
[16] nih
[15] zinc
[14] hockeyfanct10
[14] 2020_lovelife
[14] timelapserunner
[14] miltonffan

Top Words in Tweet in G7:
[71] sars
[60] cov
[51] zinc
[30] 2005
[27] literally
[27] existing
[27] medical
[26] publications
[26] demonstrating
[26] efficacy

Top Words in Tweet in G8:
[39] sars
[36] cov
[10] hcq
[8] infection
[8] 2005
[8] michaelcoudrey
[6] fauci
[6] covid
[6] alpha
[6] beta

Top Words in Tweet in G9:
[32] cov
[26] sars
[18] hcov
[13] 30
[11] 2005
[10] dayarvsvau
[10] dat
[10] hcq
[9] coronavirus
[7] laboratorium

Top Words in Tweet in G10:
[67] 2004
[41] sars
[39] chloroquine
[37] nih
[36] cov
[35] utobian
[35] one
[35] old
[35] antimalarial
[35] drug

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[5920] sars,cov
[2353] pcr,sars
[2343] cov,negativo
[2282] negativo,bom
[2282] bom,dia
[2267] jairbolsonaro,pcr
[1726] virus,sars
[930] cov,virus
[845] cov,separaron
[845] separaron,genéticamente

Top Word Pairs in Tweet in G1:
[2268] sars,cov
[2266] pcr,sars
[2266] cov,negativo
[2262] negativo,bom
[2262] bom,dia
[2258] jairbolsonaro,pcr
[4] presidente,postou
[4] postou,hoje
[4] hoje,cedo
[4] cedo,pcr

Top Word Pairs in Tweet in G2:
[1682] virus,sars
[1682] sars,cov
[841] pasada,estudio
[841] estudio,virus
[841] cov,virus
[841] cov,separaron
[841] separaron,genéticamente
[841] genéticamente,hacia
[841] hacia,año
[841] año,200

Top Word Pairs in Tweet in G3:
[183] sars,cov
[65] vitro,studies
[65] studies,shown
[63] #qplusnews,#closys
[63] #closys,mouthwash
[63] mouthwash,kills
[63] kills,sars
[63] cov,vitro
[63] shown,closys
[63] closys,over

Top Word Pairs in Tweet in G4:
[224] sars,cov
[214] against,sars
[212] nih,confirmed
[212] confirmed,hydroxychloroquine
[212] hydroxychloroquine,effective
[212] effective,against
[212] cov,2005
[204] mitchellvii,nih
[203] psychictimo,mitchellvii
[7] patrici15767099,nih

Top Word Pairs in Tweet in G5:
[215] sars,cov
[16] covid,19
[15] mers,cov
[14] cov,sars
[14] cov,infection
[10] coronavirus,sars
[10] infection,spread
[10] cov,mers
[9] pcr,sars
[9] respiratory,syndrome

Top Word Pairs in Tweet in G6:
[46] sars,cov
[14] hockeyfanct10,2020_lovelife
[14] 2020_lovelife,timelapserunner
[14] timelapserunner,miltonffan
[14] miltonffan,shannon120469
[14] shannon120469,justinformu
[14] justinformu,tracybeanz
[14] tracybeanz,fda_drug_info
[13] wjack76995,hockeyfanct10
[10] dr,fauci

Top Word Pairs in Tweet in G7:
[59] sars,cov
[27] literally,existing
[27] existing,medical
[26] medical,publications
[26] publications,demonstrating
[26] demonstrating,efficacy
[26] efficacy,zinc
[26] zinc,therapy
[23] zinc,literally
[20] realbrysongray,zinc

Top Word Pairs in Tweet in G8:
[33] sars,cov
[7] cov,sars
[4] chloroquine,potent
[4] potent,inhibitor
[4] inhibitor,sars
[4] infection,spread
[3] covid,strains
[3] 229e,alpha
[3] alpha,nl63
[3] nl63,alpha

Top Word Pairs in Tweet in G9:
[26] sars,cov
[6] more,30
[6] 30,strains
[6] strains,coronavirus
[6] coronavirus,isolated
[6] isolated,laboratory
[6] laboratory,seven
[6] hcov,229e
[6] 229e,hcov
[6] hcov,oc43

Top Word Pairs in Tweet in G10:
[35] nih,2004
[35] 2004,chloroquine
[35] chloroquine,old
[35] old,antimalarial
[35] antimalarial,drug
[35] drug,considered
[35] sars,cov
[32] proud_libtard,utobian
[32] utobian,one
[32] one,2004

Top Replied-To
Top Replied-To in Entire Graph:
@govandybeshear
@drdavidsamadi
@evanakilgore
@jonnyroly
@cnn
@tedlieu
@egeert
@gma
@oscarlamme
@realdonaldtrump

Top Replied-To in G1:
@jairbolsonaro

Top Replied-To in G3:
@egeert
@realdonaldtrump
@lady__doobie
@cnn
@oedipusnj
@tedlieu
@mosgally
@emet_or_2020
@paulmuaddib611
@theonlyschreck

Top Replied-To in G4:
@mitchellvii
@bbcnews
@catatonic11
@stella_immanuel
@aferedaytx
@marctreitler

Top Replied-To in G6:
@evanakilgore
@fda_drug_info
@jennybethm
@fda
@iamknownas
@xirritated
@candibenson
@hockeyfanct10
@christi95126146
@breaking911

Top Replied-To in G7:
@tedcruz
@chanelrion
@jgpmatt
@qanonswan
@anneksmith2
@drsimonegold
@hendrick2018
@jamestodaromd
@lisamei62
@dr_bilgin

Top Replied-To in G8:
@hannah67622180
@dailymailuk
@momostjohn
@euwaanzin
@davidbcollum
@dc_draino
@nikolovscience
@mansfieldstag
@dailymail
@sanrawrr

Top Replied-To in G9:
@beata51641993
@armandbonaparte
@minpres
@wbc241
@usarmy
@coronavirusnewv
@mandatar8
@sanderflorian2
@lydiatweetstoo
@pimgunzel

Top Replied-To in G10:
@gma
@jonnyroly
@robinenochs
@tedlieu
@videoalex
@proud_libtard
@erictopol
@utobian
@nytscience
@abc

Top Mentioned
Top Mentioned in Entire Graph:
@jairbolsonaro
@pmarsupia
@psychictimo
@mitchellvii
@stella_immanuel
@luislasala1
@realdonaldtrump
@paulmuaddib611
@paulmuaddib61
@axelkahn

Top Mentioned in G1:
@jairbolsonaro
@josemedeirosmt

Top Mentioned in G2:
@pmarsupia

Top Mentioned in G3:
@stella_immanuel
@paulmuaddib611
@paulmuaddib61
@realdonaldtrump
@dbongino
@valdesignasid
@proctermd
@charles82917795
@healthhibberd
@richardursomd

Top Mentioned in G4:
@psychictimo
@mitchellvii
@patrici15767099
@catatonic11
@lermont
@bbcnews
@fbag_mag

Top Mentioned in G5:
@mrreynaldo
@chemdocq
@infolliteras
@revsaludunicau
@nukonyan0808

Top Mentioned in G6:
@fda_drug_info
@2020_lovelife
@timelapserunner
@miltonffan
@shannon120469
@justinformu
@tracybeanz
@wjack76995
@hockeyfanct10
@janeorlean

Top Mentioned in G7:
@r0b0tspider
@realbrysongray
@jamestodaromd
@drsimonegold
@texasih
@zev_dr
@oann
@potus
@hendrick2018
@kaschat1

Top Mentioned in G8:
@michaelcoudrey
@dc_draino
@fleccas
@realericcarmen
@mailonline
@rudygiuliani
@fogcitymidge
@johnayr12294351
@lollymagana
@wibskvs

Top Mentioned in G9:
@dayarvsvau
@billgates
@tumbojohansen
@gladiatorvicto
@stanley16906654
@kicaj3
@ewazamojska
@belle_epoque5
@monika16778868
@austrohngaro1

Top Mentioned in G10:
@utobian
@leeann68161728
@proud_libtard
@gstephanopoulos
@robinenochs
@gma
@dranthonyf
@johnfromcranber
@us_fda
@thejordanrachel

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@federicoalves
@joefreedomlove
@miltonespinozaf
@phillip92321
@sainsburys
@inquirerdotnet
@inspiteoftrump
@alexandre_ishii
@ary_antipt

Top Tweeters in G1:
@federicoalves
@alexandre_ishii
@yymods
@shoutgracegrace
@votezpoisson
@gmizrachi
@nogogu
@pimmaiden
@willbarrett_1
@salomnm

Top Tweeters in G2:
@mariorobertop
@kaluapiscis
@sylar_71
@dmvecinal
@fermin771009
@macjuanma
@joseant1890
@gonzalobarria
@juliolxxix
@boletusedulius

Top Tweeters in G3:
@kimbraov1
@foxnews
@phillyeaglesfa1
@avenger2toxic
@c_siera
@starknightz
@tedcornwell
@maiworld51
@eloiseat6
@nbcnews

Top Tweeters in G4:
@joefreedomlove
@miltonespinozaf
@alicia45kag
@hawleysjadefav
@bbcnews
@simplify77
@rettinol
@wetfeathers
@paphotog
@laurelcatherine

Top Tweeters in G5:
@yasu_yasuno_sa
@nuevodiaenlinea
@galamedianews
@pablo_arreola
@lunera_luz
@auriandra
@notigdl
@kathlee13641607
@diariode_xalapa
@infolliteras

Top Tweeters in G6:
@pat_shanks
@luigi_warren
@gretchenbarton
@mozziesmom
@john_frank1954
@djtsavesamerica
@jackposobiec
@mollydanless
@mannyotiko
@c2m1ll3

Top Tweeters in G7:
@sheila06942158
@kennethhowardc3
@wyn1745
@vikaroo5
@theriseofrod
@pissedoff53
@p4tr10tboo
@colleenrasmuss
@bronwyn1140
@donaldrusso994

Top Tweeters in G8:
@turntablekittah
@mailonline
@dailymailuk
@dailymail
@jellen805
@jayvanorman
@bigrfaze
@cara_txzeal
@politicalwilli
@rickcrainium

Top Tweeters in G9:
@dartagnanneke
@visuele
@wef
@elisa59
@piotr_makowiec
@jokebronkhorst
@un
@wickis12
@misback8
@gladiatorvicto

Top Tweeters in G10:
@duxgirl27
@mllnola
@abc
@ianmolony
@gma
@studentofdra
@johnfromcranber
@smartdissent
@gloriapbuchanan
@robinenochs