SARS-COV, Twitter, 4/5/2020 9:43:32 PM, 224444


FAQ | Problem?

SARS-COV_2020-04-05_01-30-01.xlsx
SARS-COV_2020-04-05_01-30-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
April 05, 2020
Short Description:
SARS-COV via NodeXL https://bit.ly/2XboFa7
@larryboorstein
@nature
@realdonaldtrump
@__ice9
@waynegriswold
@erictopol
@xchixm
@mhrob
@r_h_ebright
@samisoderlund

Top hashtags:
#sarscov2
#coronavirus
#covid19
#كورونا
#urgente
#covidー19
#receptorbindingdomains

Description:
Description
The graph represents a network of 6,526 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 Sunday, 05 April 2020 at 08:31 UTC.

The requested start date was Sunday, 05 April 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, 15-hour, 27-minute period from Monday, 30 March 2020 at 18:49 UTC to Saturday, 04 April 2020 at 10:17 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 : 6526
Unique Edges : 6452
Edges With Duplicates : 1568
Total Edges : 8020
Number of Edge Types : 4
MentionsInRetweet : 3863
Tweet : 851
Replies to : 1087
Mentions : 2219
Self-Loops : 851
Reciprocated Vertex Pair Ratio : 0.0112305470880796
Reciprocated Edge Ratio : 0.0222116452482945
Connected Components : 1158
Single-Vertex Connected Components : 406
Maximum Vertices in a Connected Component : 2148
Maximum Edges in a Connected Component : 3436
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.328978
Graph Density : 0.000148019768846806
Modularity : 0.799629
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 6,526 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 Sunday, 05 April 2020 at 08:31 UTC.

The requested start date was Sunday, 05 April 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, 15-hour, 27-minute period from Monday, 30 March 2020 at 18:49 UTC to Saturday, 04 April 2020 at 10:17 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:
[25] https://science.sciencemag.org/content/early/2020/04/02/science.abb7269
[18] https://www.jci.org/articles/view/137647
[15] https://www.youtube.com/watch?v=_pBsL0qW2Vs&feature=youtu.be

[14] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[11] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0820-9
[10] https://evrimagaci.org/siddetli-akut-solunum-yolu-sendromu-sarscov-8455?utm_source=evrimagaci&utm_medium=social&utm_campaign=as-twitter
[7] https://science.sciencemag.org/content/early/2020/04/02/science.abb7269.full
[7] https://pubmed.ncbi.nlm.nih.gov/25135833/
[7] https://www.ncbi.nlm.nih.gov/pubmed/20463816
[7] https://insight.jci.org/articles/view/123158

Top URLs in Tweet in G1:
[7] https://pubmed.ncbi.nlm.nih.gov/25135833/
[2] https://science.sciencemag.org/content/early/2020/04/02/science.abb7269
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/therapeutic-options.html
[1] https://go.nature.com/2Jqn9sr
[1] https://aedv.es/hidroxicloroquina-y-azitromicina-dos-farmacos-conocidos-son-candidatos-para-frenar-la-covid-19/
[1] https://www.sciencemag.org/lookup/doi/10.1126/science.abb7269
[1] http://crisp-bio.blog.jp/archives/22215424.html
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41467-020-15562-9%3FelqTrackId%3D3f6d0c397d4d41f6ab5cf222b0f07cd2%26elq%3Dfa9dec5c11064661b0bb61fbb48d9c68%26elqaid%3D27834%26elqat%3D1%26elqCampaignId%3D10607
[1] https://twitter.com/hholdenthorp/status/1246076743170928641
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-00210-5

Top URLs in Tweet in G2:
[13] https://science.sciencemag.org/content/early/2020/04/02/science.abb7269
[4] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-2196-x
[3] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-020-2180-5%3Futm_source%3Dfacebook%26utm_medium%3Dsocial%26utm_content%3Dorganic%26utm_campaign%3DNGMT_USG_JC01_GL_Nature
[3] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0820-9
[3] https://www.cell.com/pb-assets/products/coronavirus/CELL_CELL-D-20-00739.pdf
[3] https://medicalxpress.com/news/2020-04-covid-vaccine-candidate-peer-reviewed.amp?__twitter_impression=true
[2] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41467-020-15562-9
[2] https://insight.jci.org/articles/view/123158
[2] https://academic.oup.com/glycob/article/18/12/1085/1988773
[2] https://www.cdc.gov/coronavirus/types.html

Top URLs in Tweet in G3:
[11] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
[10] https://www.youtube.com/watch?v=_pBsL0qW2Vs&feature=youtu.be

[6] https://www.healio.com/pediatrics/respiratory-infections/news/online/%7B1adbec96-e53b-4d62-9eef-d0672970b61d%7D/chloroquine-azithromycin-combination-decreased-respiratory-gastrointestinal-tract-infections
[2] https://www.aging-us.com/article/103001/text
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797993/
[2] https://www.youtube.com/watch?v=kjLKlKPUnyc&feature=youtu.be

[1] https://www.worldometers.info/coronavirus/country/us/
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html#transmission
[1] https://twitter.com/TuckerCarlson/status/1242598358755180554
[1] https://twitter.com/SenTomCotton/status/1245151593500217350

Top URLs in Tweet in G5:
[3] https://www.nature.com/articles/s41467-020-15562-9
[1] https://www.nature.com/articles/s41564-019-0371-3
[1] https://science.sciencemag.org/content/early/2020/04/02/science.abb7269
[1] https://www.nature.com/articles/s41586-020-2196-x#disqus_thread
[1] https://www.cell.com/pb-assets/products/coronavirus/CELL_CELL-D-20-00739.pdf
[1] https://www.sciencedirect.com/science/article/pii/S128645791300155X
[1] https://www.nejm.org/doi/full/10.1056/NEJMc2001737?cookieSet=1
[1] https://www.tandfonline.com/doi/full/10.1080/22221751.2020.1736644?cookieSet=1
[1] https://www.nature.com/articles/s41467-020-15562-9#disqus_thread

Top URLs in Tweet in G6:
[1] https://www.ncbi.nlm.nih.gov/pubmed/22350287

Top URLs in Tweet in G7:
[6] https://www.medrxiv.org/content/10.1101/2020.03.11.20031096v2
[2] https://twitter.com/LifeSciVC/status/1241069143388033030?s=20
[2] https://f1000research.com/articles/9-129/v1
[1] https://biorxiv.org/content/10.1101/2020.01.26.919985v1.full
[1] https://ncbi.nlm.nih.gov/pmc/articles/PMC2213088/
[1] https://www.frontiersin.org/articles/10.3389/fimmu.2020.00026/full
[1] https://www.medicalnewstoday.com/articles/why-does-sars-cov-2-spread-so-easily
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086629/
[1] https://twitter.com/psykiln/status/1245858763526901760
[1] https://www.ncbi.nlm.nih.gov/pubmed/24841273

Top URLs in Tweet in G8:
[2] https://www.ncbi.nlm.nih.gov/pubmed/14983044/
[1] https://insight.jci.org/articles/view/123158
[1] https://twitter.com/parissanstabac/status/1245560519429435399
[1] https://jvi.asm.org/content/82/7/3220

Top URLs in Tweet in G9:
[1] https://www.larazon.es/salud/20200402/kavzglmtwjek5iuiqiban33qiy.html?utm_source=twitter&utm_medium=organic&utm_campaign=lrzn_org_Th_17_55

Top URLs in Tweet in G10:
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41591-020-0820-9

Top Domains
Top Domains in Tweet in Entire Graph:
[124] nih.gov
[110] twitter.com
[60] nature.com
[40] sciencemag.org
[32] youtube.com
[27] jci.org
[16] medrxiv.org
[15] asm.org
[13] sciencedirect.com
[13] cdc.gov

Top Domains in Tweet in G1:
[7] nih.gov
[5] nature.com
[3] sciencemag.org
[2] cdc.gov
[2] twitter.com
[1] aedv.es
[1] blog.jp
[1] biorxiv.org
[1] springer.com

Top Domains in Tweet in G2:
[44] twitter.com
[19] sciencemag.org
[15] nature.com
[14] nih.gov
[6] asm.org
[6] youtube.com
[5] sciencedirect.com
[5] linkedin.com
[4] instagram.com
[4] cdc.gov

Top Domains in Tweet in G3:
[14] youtube.com
[14] nih.gov
[6] healio.com
[5] twitter.com
[2] cdc.gov
[2] aging-us.com
[1] worldometers.info
[1] elsevierhealth.com
[1] jbc.org
[1] sciencedirect.com

Top Domains in Tweet in G5:
[6] nature.com
[1] sciencemag.org
[1] cell.com
[1] sciencedirect.com
[1] nejm.org
[1] tandfonline.com

Top Domains in Tweet in G6:
[1] nih.gov

Top Domains in Tweet in G7:
[6] medrxiv.org
[5] twitter.com
[3] nih.gov
[2] biorxiv.org
[2] f1000research.com
[1] frontiersin.org
[1] medicalnewstoday.com
[1] elsevierhealth.com

Top Domains in Tweet in G8:
[2] nih.gov
[1] jci.org
[1] twitter.com
[1] asm.org

Top Domains in Tweet in G9:
[1] larazon.es

Top Domains in Tweet in G10:
[1] nature.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[103] sarscov2
[101] coronavirus
[98] covid19
[98] كورونا
[88] urgente
[38] covidー19
[31] receptorbindingdomains
[22] bienvenidoabril
[21] ahora
[20] كوفيد_19



Top Hashtags in Tweet in G1:
[63] sarscov2
[28] receptorbindingdomains
[4] coronavirus
[4] hidroxicloroquina
[4] azitromicina
[3] covid19
[1] antivirals
[1] canadacovid19
[1] cdnpoli
[1] cdnhealth

Top Hashtags in Tweet in G2:
[26] covid19
[20] coronavirus
[7] sars
[7] covidー19
[4] covid_19
[4] sarscov2
[3] wuhancoronavirus
[3] chinesevirus
[3] covid19pandemic
[2] viruses

Top Hashtags in Tweet in G3:
[10] kag
[3] covid19
[2] occupy
[2] sars_cov_2
[2] hiv
[2] viruses
[2] combined
[2] sars
[2] aids
[2] sarscov

Top Hashtags in Tweet in G5:
[10] elefunfactfriday
[10] cornoravirus
[4] coronavirus
[3] covid_19
[1] themoreyouknow
[1] receptorbindingdomains
[1] sarscov2
[1] covidー19
[1] il1β
[1] nfκb

Top Hashtags in Tweet in G7:
[6] sarscov2
[5] covid19
[2] 2019ncov
[1] glycotime

Top Hashtags in Tweet in G9:
[88] urgente

Top Hashtags in Tweet in G10:
[5] coronavirus

Top Words
Top Words in Tweet in Entire Graph:
[1243] Words in Sentiment List#1: Positive
[3204] Words in Sentiment List#2: Negative
[25] Words in Sentiment List#3: Angry/Violent
[145586] Non-categorized Words
[150033] Total Words
[5385] cov
[5212] sars
[884] coronavirus
[776] virus
[766] nature

Top Words in Tweet in G1:
[711] nature
[501] cov
[494] sars
[369] rbd
[362] binding
[352] spike
[343] crystal
[343] structure
[340] receptor
[336] determined

Top Words in Tweet in G2:
[714] cov
[713] sars
[190] ø
[135] ù
[115] virus
[107] coronavirus
[90] mers
[79] 19
[75] covid
[46] respiratory

Top Words in Tweet in G3:
[442] cov
[341] amriid
[291] sars
[200] generated
[198] pre
[197] emergent
[197] batcovs
[188] detrick
[188] bat
[187] fort

Top Words in Tweet in G4:
[211] dünya
[211] sağlık
[211] örgütü
[211] dsö
[211] dün
[211] bir
[211] basın
[211] açıklaması
[211] yaptı
[211] dikkat

Top Words in Tweet in G5:
[268] sars
[265] cov
[83] aaronmring
[82] nlrp3
[81] host
[80] bats
[80] numerous
[80] rna
[80] viruses
[80] without

Top Words in Tweet in G6:
[246] sars
[246] cov
[134] zinc
[132] found
[132] inhibit
[132] replication
[130] _cynthiathurlow
[113] theoretically
[113] activity
[113] against

Top Words in Tweet in G7:
[116] sars
[114] cov
[84] __ice9
[65] virus
[58] blood
[53] more
[52] plausible
[51] mechanism
[51] type
[46] covid

Top Words in Tweet in G8:
[95] virusesimmunity
[94] spike
[93] study
[92] disease
[90] anti
[90] worse
[89] cautionary
[89] tale
[89] antibody
[89] make

Top Words in Tweet in G9:
[176] vacuna
[89] neutralizar
[88] #urgente
[88] consigue
[88] coronavirus
[88] ratones
[88] conseguido
[88] generar
[88] anticuerpos
[87] larazon_es

Top Words in Tweet in G10:
[193] hcov
[161] coronavirus
[93] covid
[93] 19
[91] 229e
[90] primer
[90] conocemos
[90] conocíamos
[90] seis
[70] mincyt_ve

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4683] sars,cov
[546] mers,cov
[495] covid,19
[394] cov,mers
[386] receptor,binding
[376] cov,spike
[370] cov,sars
[356] structure,sars
[355] crystal,structure
[353] nature,paper

Top Word Pairs in Tweet in G1:
[494] sars,cov
[345] cov,spike
[343] crystal,structure
[343] structure,sars
[339] receptor,binding
[336] binding,domain
[335] paper,nature
[335] nature,determined
[335] determined,crystal
[335] spike,receptor

Top Word Pairs in Tweet in G2:
[620] sars,cov
[74] mers,cov
[71] ø,ø
[69] covid,19
[69] ø,ù
[60] cov,sars
[55] ù,ø
[36] ù,ù
[33] respiratory,syndrome
[26] severe,acute

Top Word Pairs in Tweet in G3:
[268] sars,cov
[197] pre,emergent
[187] fort,detrick
[172] mers,cov
[170] reverse,genetics
[166] genetics,approaches
[165] cov,mers
[164] 2019,reverse
[163] approaches,generated
[163] generated,pre

Top Word Pairs in Tweet in G4:
[211] dünya,sağlık
[211] sağlık,örgütü
[211] örgütü,dsö
[211] dsö,dün
[211] dün,bir
[211] bir,basın
[211] basın,açıklaması
[211] açıklaması,yaptı
[211] yaptı,dikkat
[211] dikkat,ettiniz

Top Word Pairs in Tweet in G5:
[265] sars,cov
[80] bats,host
[80] host,numerous
[80] numerous,rna
[80] rna,viruses
[80] viruses,sars
[80] cov,without
[80] without,disease
[80] disease,naturally
[80] naturally,decreased

Top Word Pairs in Tweet in G6:
[246] sars,cov
[132] found,inhibit
[132] cov,replication
[113] zinc,found
[113] inhibit,sars
[113] replication,theoretically
[113] theoretically,activity
[113] activity,against
[113] against,sars
[113] cov,fact

Top Word Pairs in Tweet in G7:
[105] sars,cov
[51] plausible,mechanism
[46] covid,19
[45] mechanism,apparently
[45] apparently,exists
[45] exists,tendency
[45] tendency,covid
[45] 19,more
[45] more,severe
[45] severe,patients

Top Word Pairs in Tweet in G8:
[90] anti,spike
[90] disease,worse
[89] cautionary,tale
[89] tale,anti
[89] spike,antibody
[89] antibody,make
[89] make,covid
[89] covid,disease
[89] worse,study
[89] study,authors

Top Word Pairs in Tweet in G9:
[88] #urgente,vacuna
[88] vacuna,consigue
[88] consigue,neutralizar
[88] neutralizar,coronavirus
[88] coronavirus,ratones
[88] ratones,vacuna
[88] vacuna,conseguido
[88] conseguido,generar
[88] generar,anticuerpos
[87] larazon_es,#urgente

Top Word Pairs in Tweet in G10:
[93] covid,19
[90] 19,primer
[90] primer,coronavirus
[90] coronavirus,conocemos
[90] conocemos,conocíamos
[90] conocíamos,seis
[90] hcov,229e
[83] 229e,hcov
[69] seis,coronavirus
[69] coronavirus,hcov

Top Replied-To
Top Replied-To in Entire Graph:
@nikolas81168625
@arielo_cerda
@realdonaldtrump
@pastranavice
@laurie_garrett
@sidneypowell1
@abdullahciftcib
@jeon_ssi_
@mitchellvii

Top Replied-To in G1:
@erictopol
@caulfieldtim
@fleetwoodeldred
@scottdougan1
@stolfidobranch
@davemosher
@atelfo
@lydie_lane

Top Replied-To in G2:

Top Replied-To in G3:
@realdonaldtrump
@sidneypowell1
@laurie_garrett
@washingtonpost
@sentomcotton
@marshablackburn
@thehill
@newyorker
@bige38116234
@columbiabugle

Top Replied-To in G5:
@juliab_fitness
@aaronmring

Top Replied-To in G7:
@__philipn__
@icmrdelhi
@sourheath

Top Replied-To in G8:
@virusesimmunity

Top Replied-To in G10:
@mincyt_ve

Top Mentioned
Top Mentioned in Entire Graph:
@nature
@yazarmuratakan
@_cynthiathurlow
@knesix
@virusesimmunity
@__ice9
@larazon_es
@aaronmring
@mbirpinar
@mincyt_ve

Top Mentioned in G1:
@nature
@erictopol
@cardiacconsult
@88549439
@mmw_lmw
@mitomedicine
@munitajose
@wormmaps
@scrippsresearch
@aedv_es

Top Mentioned in G2:
@noticiasdealava

Top Mentioned in G3:
@realdonaldtrump
@larryboorstein
@youtube
@huxijin_gt
@aranganathan72
@potus
@tuckercarlson
@cnn
@trumpsugar
@calijeff1

Top Mentioned in G4:
@yazarmuratakan
@ayhmeh

Top Mentioned in G5:
@aaronmring
@naturecomms
@devoevomed
@lferreiramoita
@cyrilpedia
@viropractor
@nature
@ifmthera
@novartisscience
@apmweber

Top Mentioned in G6:
@_cynthiathurlow

Top Mentioned in G7:
@__ice9
@fabriziochiodo
@elisatelisa
@julienpotet
@lifescivc
@drdo_india
@f1000research
@dr_ankur_gupta
@icmrdelhi
@dwmoskowitz

Top Mentioned in G8:
@virusesimmunity
@israsantoscoy
@alexand64744343
@__ice9

Top Mentioned in G9:
@larazon_es

Top Mentioned in G10:
@mincyt_ve
@rtcreatividad
@maryguerrera7
@padronmoraima
@gabrielasjr
@camejojeferson
@greggdvm

Top Tweeters
Top Tweeters in Entire Graph:
@urbandictionary
@detikcom
@andreatoolbox
@lafm
@revolution_fr
@housecracka
@threadreaderapp
@_redfrog
@pairsonnalitese
@ladivinadiva

Top Tweeters in G1:
@businessinsider
@lyndae222
@anthropic
@sandoly
@kassatti
@hubbucket
@elleallever
@crazyrichjason
@benefitvburden
@rnomics

Top Tweeters in G2:
@andreatoolbox
@pairsonnalitese
@picca009
@cyobinosuke
@friedrichhayek
@michele_miss
@ln123champagne
@giuliasntana
@fvguima
@dreychee

Top Tweeters in G3:
@thehill
@mayirmamay14
@foxnews
@washingtonpost
@elixemtor
@lrihendry
@doodisgirl
@mailonline
@drmartyfox
@mrs_malindo

Top Tweeters in G4:
@ayhanaydinli
@salihbodur1
@dondu_e
@ahmetziyaeddin1
@selim_tas
@34dmr
@mrtecevit
@handanpeker1
@mehmet_ayy
@erhanmeteonline

Top Tweeters in G5:
@sameihuda
@myrenekala
@youngchris27040
@itsme_leclerc
@dccc_phd
@super_trades
@kamounlab
@lizziebillingt1
@aoifemcl
@harmitmalik

Top Tweeters in G6:
@_iogan
@gwgillett
@alvarodebazan2
@sewpc123
@pepint
@carolinasilvabi
@arifmonline
@joliepinklips
@dortunor
@lyrndah

Top Tweeters in G7:
@aranom12
@roncoleman
@ipomeas
@outin2020
@tammybr22486745
@mtmdphd
@klausriede
@melinatedbeauty
@miroslavadamekx
@desmblake18

Top Tweeters in G8:
@revolution_fr
@anselmonadir
@ygjumi
@projectkearsley
@sergylb
@foxgrrl
@ardalby71
@bazkhayat
@gridinoc
@happyhappy105

Top Tweeters in G9:
@larazon_es
@oscarbborges
@capaster19
@mgallardo1978
@contaloahora
@drmahmoud_
@mariajramos1
@noeliacedo
@mjleodia
@asnulitel

Top Tweeters in G10:
@jemora70
@geniuslawyer
@_dblancog
@elchamocandanga
@gabriela_041672
@soyjenglo
@marinach520
@htebazilelisu
@somosmovilnet_
@kardiabass11


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.