SARS-NCOV, Twitter, 1/14/2021 7:38:16 PM, 245609


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SARS-NCOV_2021-01-14_04-17-01.xlsx
SARS-NCOV_2021-01-14_04-17-01.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 14, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/39C7u6l
@barneygrahammd
@andersonbrito_
@olgachaim
@nextstrain
@ksorbs
@box_a_chocluts
@joebiden
@cdcgov
@gisaid
@zephyr9673

Top hashtags:
#covid19
#sarscov2
#opendata
#coronavirus
#covid
#corona
#ncov
#virus
#sars
#novel

Description:
Description
The graph represents a network of 3,880 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 12:21 UTC.

The requested start date was Thursday, 14 January 2021 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 13-day, 12-hour, 54-minute period from Thursday, 31 December 2020 at 01:03 UTC to Wednesday, 13 January 2021 at 13:58 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 : 3880
Unique Edges : 2132
Edges With Duplicates : 4015
Total Edges : 6147
Number of Edge Types : 5
Tweet : 398
Retweet : 1763
MentionsInRetweet : 2073
Mentions : 1345
Replies to : 568
Self-Loops : 406
Reciprocated Vertex Pair Ratio : 0.00673491379310345
Reciprocated Edge Ratio : 0.0133797163500134
Connected Components : 526
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1517
Maximum Edges in a Connected Component : 2915
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.360489
Graph Density : 0.000248297068805596
Modularity : 0.606202
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,880 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 January 2021 at 12:21 UTC.

The requested start date was Thursday, 14 January 2021 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 13-day, 12-hour, 54-minute period from Thursday, 31 December 2020 at 01:03 UTC to Wednesday, 13 January 2021 at 13:58 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-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:
[375] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[119] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[104] https://nextstrain.org/ncov
[62] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[40] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[30] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[25] https://apps.who.int/iris/bitstream/handle/10665/337199/WHO-2019-nCov-IPC_Masks-2020.5-eng.pdf?sequence=1&isAllowed=y
[22] 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=
[20] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[19] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en

Top URLs in Tweet in G1:
[1] https://virological.org/t/novel-2019-coronavirus-genome/319
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html

Top URLs in Tweet in G2:
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html

Top URLs in Tweet in G3:
[26] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[22] 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=
[11] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2932661-1%2Ffulltext&rc=0
[10] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[9] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[5] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[4] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html

Top URLs in Tweet in G4:
[100] https://nextstrain.org/ncov
[6] https://nextstrain.org/ncov/africa
[5] https://discussion.nextstrain.org
[3] https://nextstrain.org/ncov/oceania
[3] https://go.wisc.edu/r7374f
[2] https://nextstrain.org/sars-cov-2/
[2] https://nextstrain.org/ncov/global
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[1] https://nextstrain.org/ncov/asia

Top URLs in Tweet in G5:
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-02801-8
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://health.clevelandclinic.org/new-study-highlights-new-evidence-that-masks-prevent-coronavirus-spread/
[1] https://twitter.com/illtaktical/status/1347576655053680640

Top URLs in Tweet in G6:
[30] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fd41586-020-02801-8
[1] https://www.nature.com/articles/d41586-020-02801-8
[1] https://www.ucsf.edu/news/2020/06/417906/still-confused-about-masks-heres-science-behind-how-face-masks-prevent
[1] https://www.wsj.com/articles/face-masks-really-do-matter-the-scientific-evidence-is-growing-11595083298
[1] https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html

Top URLs in Tweet in G7:
[19] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[7] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://apps.who.int/iris/bitstream/handle/10665/337199/WHO-2019-nCov-IPC_Masks-2020.5-eng.pdf?sequence=1&isAllowed=y

Top URLs in Tweet in G8:
[18] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[17] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[1] https://twitter.com/carpe_diem0820/status/1330029637364289536
[1] https://twitter.com/carpe_diem0820/status/1345140056315449345
[1] https://twitter.com/SakamotoFumie/status/1345388107986685954
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10084-covid19-28.html
[1] https://twitter.com/tyonarock/status/1344963800349360130

Top URLs in Tweet in G9:
[12] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html#:~:text=Airborne%20transmission%20is%20infection%20spread,and%20time%20(typically%20hours)
[2] http://S.Africa
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html?sf241679149=1
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant.html
[1] https://twitter.com/Mohammadsrt/status/1348319476920569857
[1] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/care-for-someone.html

Top URLs in Tweet in G10:
[1] https://apps.who.int/iris/bitstream/handle/10665/338480/9789240018440-eng.pdf?sequence=1&isAllowed=y
[1] https://apps.who.int/iris/bitstream/handle/10665/338483/WHO-2019-nCoV-genomic_sequencing-2021.1-eng.pdf?sequence=1&isAllowed=y
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html

Top Domains
Top Domains in Tweet in Entire Graph:
[581] cdc.gov
[230] go.jp
[156] nextstrain.org
[56] who.int
[48] twitter.com
[44] scholarsportal.info
[32] elsevierhealth.com
[32] principia-scientific.com
[29] nih.gov
[24] publichealthontario.ca

Top Domains in Tweet in G1:
[1] virological.org
[1] go.jp

Top Domains in Tweet in G2:
[1] cdc.gov

Top Domains in Tweet in G3:
[64] go.jp
[51] cdc.gov
[44] scholarsportal.info
[15] elsevierhealth.com
[12] virological.org
[11] nih.gov
[9] who.int
[7] twitter.com
[5] nextstrain.org
[4] biorxiv.org

Top Domains in Tweet in G4:
[126] nextstrain.org
[6] cdc.gov
[3] twitter.com
[3] wisc.edu
[2] pasteur.fr
[2] finlaymagui.re
[1] github.com
[1] virological.org
[1] elsevierhealth.com

Top Domains in Tweet in G5:
[1] nature.com
[1] cdc.gov
[1] clevelandclinic.org
[1] twitter.com

Top Domains in Tweet in G6:
[33] cdc.gov
[2] nature.com
[1] ucsf.edu
[1] wsj.com

Top Domains in Tweet in G7:
[26] cdc.gov
[1] who.int

Top Domains in Tweet in G8:
[39] go.jp
[5] twitter.com
[4] cdc.gov

Top Domains in Tweet in G9:
[29] cdc.gov
[2] twitter.com
[2] s.africa
[1] org.uk
[1] nextstrain.org

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[209] covid19
[143] sarscov2
[103] opendata
[60] coronavirus
[50] covid
[49] corona
[49] ncov
[48] virus
[48] sars
[46] novel



Top Hashtags in Tweet in G3:
[40] covid19
[30] sarscov2
[7] covid19papers
[4] coronavirus
[3] sars
[2] covid
[2] 新型コロペ
[2] 英国新型
[1] variantecovid
[1] 武漢肺炎

Top Hashtags in Tweet in G4:
[99] opendata
[99] covid19
[99] sarscov2
[2] ncov2019
[2] coronavirus
[2] covidisairborne
[1] astrazeneca
[1] auspol
[1] lol
[1] thereisnodebate

Top Hashtags in Tweet in G6:
[1] wearthedamnmask

Top Hashtags in Tweet in G7:
[7] covidiot
[1] maskoff

Top Hashtags in Tweet in G8:
[3] 国立æ„ÿæÿ“症研究所
[3] niid
[1] covid19
[1] covid19japan

Top Hashtags in Tweet in G9:
[2] sars
[2] mers
[2] sarscov2
[2] covid19
[2] newcovidvariants
[2] voc20201201
[2] b117
[2] uk
[2] 501yv2
[2] b1351

Top Words
Top Words in Tweet in Entire Graph:
[1319] sars
[1280] cov
[1227] æ
[1162] ç
[762] ncov
[639] sequences
[555] coronavirus
[526] one
[508] first
[508] novel

Top Words in Tweet in G1:
[484] sars
[483] year
[483] chinese
[483] novel
[483] coronavirus
[483] ncov
[482] cov
[480] one
[480] ago
[480] today

Top Words in Tweet in G2:
[410] variants
[409] before
[409] fauci
[409] freak
[409] re
[409] viral
[409] strains
[409] evidence
[408] ingrahamangle
[361] œcurrently

Top Words in Tweet in G3:
[213] æ
[198] ç
[188] cov
[187] sars
[106] covid
[103] 19
[65] ncov
[65] ϋ
[57] ãƒ
[54] ªã

Top Words in Tweet in G4:
[140] sequences
[115] gisaid
[113] thanks
[109] nextstrain
[101] we've
[100] sharing
[99] #opendata
[99] updated
[99] #covid19
[99] #sarscov2

Top Words in Tweet in G5:
[260] masks
[130] false
[130] disinformation
[130] properly
[130] worn
[130] depending
[130] whether
[130] fabric
[130] medical
[130] cut

Top Words in Tweet in G6:
[16] nypost
[14] ksorbs
[9] studies
[9] cdc
[8] here's
[8] 45
[8] one
[7] masks
[7] jarkkohelenius
[7] takenincontext

Top Words in Tweet in G7:
[18] joebiden
[14] tweet
[12] start
[8] day
[7] 'next
[7] level
[7] ignorant'
[7] filter
[7] picked
[7] win

Top Words in Tweet in G8:
[351] ç
[248] æ
[133] ãƒ
[86] åˆ
[69] cov
[64] ϋ
[62] èª
[55] sars
[52] ªã
[46] ÿæÿ

Top Words in Tweet in G9:
[33] cdcgov
[16] sars
[12] cov
[11] covid
[10] 19
[8] coronavirus
[8] 2019
[7] disease
[6] mask
[6] science

Top Words in Tweet in G10:
[64] sars
[64] cov
[44] great
[44] published
[44] guidance
[44] sequencing
[44] analysis
[44] public
[44] health
[44] response

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1190] sars,cov
[512] ncov,sars
[510] coronavirus,ncov
[501] ç,æ
[500] novel,coronavirus
[496] one,year
[496] year,ago
[496] ago,today
[488] today,chinese
[488] chinese,scientists

Top Word Pairs in Tweet in G1:
[483] novel,coronavirus
[482] sars,cov
[480] one,year
[480] year,ago
[480] ago,today
[480] today,chinese
[480] chinese,scientists
[480] scientists,posted
[480] posted,first
[480] first,sequences

Top Word Pairs in Tweet in G2:
[409] before,fauci
[409] fauci,freak
[409] freak,re
[409] re,viral
[409] viral,strains
[409] evidence,variants
[408] ingrahamangle,before
[361] strains,œcurrently
[361] œcurrently,evidence
[360] variants,câ

Top Word Pairs in Tweet in G3:
[168] sars,cov
[87] ç,æ
[73] covid,19
[47] æ,ÿæÿ
[44] scholars,portal
[40] ç,ç
[35] æ,ªã
[33] cov,2æ
[32] 2æ,ç
[29] ϋ,sars

Top Word Pairs in Tweet in G4:
[99] thanks,#opendata
[99] #opendata,sharing
[99] sharing,gisaid
[99] gisaid,we've
[99] we've,updated
[99] #covid19,#sarscov2
[99] #sarscov2,sequences
[87] nextstrain,thanks
[41] sars,cov
[22] updated,15266

Top Word Pairs in Tweet in G5:
[130] false,disinformation
[130] disinformation,properly
[130] properly,worn
[130] worn,masks
[130] masks,depending
[130] depending,whether
[130] whether,fabric
[130] fabric,medical
[130] medical,masks
[130] masks,cut

Top Word Pairs in Tweet in G6:
[7] jarkkohelenius,takenincontext
[7] takenincontext,nypost
[6] covid,19
[6] nypost,ok
[6] ok,here's
[6] here's,45
[6] 45,studies
[6] studies,same
[6] same,agency
[6] agency,otherwise

Top Word Pairs in Tweet in G7:
[7] 'next,level
[7] level,ignorant'
[7] ignorant',tweet
[7] tweet,filter
[7] filter,picked
[7] picked,tweet
[7] tweet,win
[7] win,biggest
[7] biggest,#covidiot
[7] #covidiot,day

Top Word Pairs in Tweet in G8:
[102] ç,ç
[101] ç,æ
[52] åˆ,ç
[51] sars,cov
[41] åž,ãƒ
[41] ãƒ,ペã
[38] èª,æÿ
[38] ペã,ãƒ
[38] マãƒ,åˆ
[37] cov,2æ

Top Word Pairs in Tweet in G9:
[12] sars,cov
[10] covid,19
[7] coronavirus,disease
[7] disease,2019
[7] 2019,covid
[7] 19,cdcgov
[4] cov,variants
[3] el_lingotazzo,marichu321
[3] marichu321,cdcgov
[3] cdcgov,explica

Top Word Pairs in Tweet in G10:
[64] sars,cov
[44] great,published
[44] published,guidance
[44] guidance,sars
[44] cov,sequencing
[44] sequencing,analysis
[44] analysis,public
[44] public,health
[44] health,response
[44] response,recognises

Top Replied-To
Top Replied-To in Entire Graph:
@quinazagga
@chris_f_carson
@rokemi17
@snapple4life1
@maggmountains
@smh
@juliahb1
@truthdg19
@vincejoly
@josephashbyshow

Top Replied-To in G4:
@drleemachado
@gisaid
@lorenacschaves
@nextstrain
@clavaguerac
@wahealth

Top Replied-To in G6:
@thegunluvr
@robynwoods0303
@jarkkohelenius
@bigjoshinaz
@stephenaelliot
@hereconcentrate
@mightychiefs17
@keyseysheehan
@stevenbetts4

Top Replied-To in G7:
@maggmountains
@darkstarcult
@joshvanlow
@ironfreedomusa
@keithbentley46
@goddesscraft1
@ciararae58
@timothykerby
@ksorbs
@happycs46

Top Replied-To in G8:
@mask_passenger

Top Replied-To in G9:
@explosions_of
@bgonpar1
@el_lingotazzo
@mar_de_alboran
@cdcgov
@jimstoffel
@mikesto96265524
@peakspike
@jackcan77
@austinfuerch

Top Mentioned
Top Mentioned in Entire Graph:
@barneygrahammd
@ingrahamangle
@laurie_garrett
@gisaid
@nextstrain
@hill_sarahc
@minesoh
@ncdhhs
@cdcgov
@who

Top Mentioned in G1:
@barneygrahammd
@neurophysik

Top Mentioned in G2:
@ingrahamangle

Top Mentioned in G3:
@pall336_2
@whitecoffeemy

Top Mentioned in G4:
@gisaid
@nextstrain
@gagekmoreno
@univtunismanar
@nswhpathology
@paulcarald
@firefoxx66
@trvrb
@westsydhealth
@sydney_uni

Top Mentioned in G5:
@laurie_garrett
@barneygrahammd

Top Mentioned in G6:
@nypost
@ksorbs
@takenincontext
@jarkkohelenius
@ianmsc
@colesteffensen
@ncdhhs
@shellymarie19xx
@connie93339375
@vetuss

Top Mentioned in G7:
@joebiden
@maggmountains
@murray_nyc
@mubazieric
@norsemyth1
@thr
@ksorbs
@lavern_spicer
@arlettabeasle11
@tonym1384

Top Mentioned in G8:
@mariebell321
@earl_med_tw
@carpe_diem0820
@shima_usa96
@ryoma_tanaka
@influenzer3
@celtic_airs
@pingue7
@polaris_sky
@mask_passenger

Top Mentioned in G9:
@cdcgov
@observatorio14
@marichu321
@realdonaldtrump
@alexbolze
@nnako2
@el_lingotazzo
@alinouriphd
@mohammadsrt
@bgonpar1

Top Mentioned in G10:
@hill_sarahc
@absteward
@barneygrahammd

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@m_m1941
@threadreaderapp
@matiere
@inabster
@nobby15
@sosorasora3
@milenio
@cao58020
@madfall1213

Top Tweeters in G1:
@cipherequality
@lizditz
@brendaperrott
@adekleine
@edgeoforever
@skalanote
@chorporisrunnin
@supitchaa_
@deelishis_dee
@deifrankone

Top Tweeters in G2:
@perezguadarrama
@blisstabitha
@anzers
@nmharley2
@kyleraccio
@sampleatl
@wtpbn
@lumezgo77
@omarbula
@angietink

Top Tweeters in G3:
@matiere
@gooochin
@cordwainerscat
@ngourd
@peko409
@arifjamallodhi
@julysees
@qzv00507
@ompfarm
@collbrande

Top Tweeters in G4:
@inabster
@sosorasora3
@menabster
@iflck
@8000yo
@iwj_kb_sptr
@meloniasherban
@hope4ever4q8
@hdberretz
@kacmoodyalgeb

Top Tweeters in G5:
@mstepczyk
@laura78703
@bgheaven
@197winstonsmith
@sponson
@joke2power
@chipdutch
@missjoy1965
@julian_ortegam_
@cassomalley1

Top Tweeters in G6:
@nypost
@epuujee
@cosmopolitan
@trinityresists
@fatbaldguyracin
@glorbis
@albertstienstra
@pauldecampo
@letruneinedil
@galleman

Top Tweeters in G7:
@thr
@edwardashton30
@irishrygirl
@mettasserious
@pixelmelter
@whitepatrick
@timothykerby
@murray_nyc
@maggmountains
@no_maiden

Top Tweeters in G8:
@ja8yum
@cao58020
@machsunday
@pantyosu
@hounds02
@forzaoldbasterd
@may_hbt
@garrod9900
@kayako_sub
@mamegomahyphen

Top Tweeters in G9:
@jimprall
@fali_mz
@observatorio14
@photo_journ
@rsbrandt44
@realdonaldtrump
@angelapauloo
@marichu321
@logicoraptor
@acuadros5

Top Tweeters in G10:
@euphoriceuler
@medicblasto
@gmopundit
@pathogenomenick
@jjcrazydiamond
@erincowgill
@joey_sugar
@_b_meyer
@drjimenezjuan
@drmoupali


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