SARS-NCOV, Twitter, 1/16/2021 8:04:15 PM, 245778


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SARS-NCOV_2021-01-16_04-21-50.xlsx
SARS-NCOV_2021-01-16_04-21-50.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 16, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/2KmF5IP
@barneygrahammd
@nextstrain
@bicidiario
@laurie_garrett
@richardaloftus1
@hill_sarahc
@cdcgov
@ingrahamangle
@trvrb
@who

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

Description:
Description
The graph represents a network of 3,891 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 Saturday, 16 January 2021 at 12:24 UTC.

The requested start date was Saturday, 16 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, 31-minute period from Saturday, 02 January 2021 at 01:10 UTC to Friday, 15 January 2021 at 13:42 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 : 3891
Unique Edges : 1961
Edges With Duplicates : 4754
Total Edges : 6715
Number of Edge Types : 5
Retweet : 2075
MentionsInRetweet : 2535
Tweet : 410
Replies to : 495
Mentions : 1200
Self-Loops : 419
Reciprocated Vertex Pair Ratio : 0.00574712643678161
Reciprocated Edge Ratio : 0.0114285714285714
Connected Components : 526
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 1340
Maximum Edges in a Connected Component : 3105
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.519312
Graph Density : 0.00025436063316638
Modularity : 0.570667
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,891 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 Saturday, 16 January 2021 at 12:24 UTC.

The requested start date was Saturday, 16 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, 31-minute period from Saturday, 02 January 2021 at 01:10 UTC to Friday, 15 January 2021 at 13:42 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:
[312] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[143] https://cov-lineages.org/
[130] https://nextstrain.org/ncov
[120] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[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
[28] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[26] https://apps.who.int/iris/bitstream/handle/10665/337199/WHO-2019-nCov-IPC_Masks-2020.5-eng.pdf?sequence=1&isAllowed=y
[21] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[20] 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 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:
[136] https://cov-lineages.org/
[129] https://nextstrain.org/ncov
[6] https://nextstrain.org/ncov/africa
[5] https://nextstrain.org/ncov/oceania
[5] https://discussion.nextstrain.org
[3] https://virological.org/t/genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-manaus-preliminary-findings/586
[3] https://go.wisc.edu/r7374f
[2] https://nextstrain.org/sars-cov-2/
[2] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[1] https://nextstrain.org/ncov/south-america?branchLabel=none&f_country=Brazil&l=clock&m=div&r=division

Top URLs in Tweet in G4:
[26] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[20] 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://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[10] 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
[8] https://virological.org/t/genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-manaus-preliminary-findings/586
[7] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[5] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10107-covid19-33.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

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:
[2] https://virological.org/t/tracking-the-international-spread-of-sars-cov-2-lineages-b-1-1-7-and-b-1-351-501y-v2/592
[2] https://nextstrain.org/ncov/global?c=gt-S_681
[2] https://virological.org/t/mutations-arising-in-sars-cov-2-spike-on-sustained-human-to-human-transmission-and-human-to-animal-passage/578
[2] https://www.biorxiv.org/content/10.1101/2021.01.09.426058v1
[1] https://virological.org/t/phylogenetic-relationship-of-sars-cov-2-sequences-from-amazonas-with-emerging-brazilian-variants-harboring-mutations-e484k-and-n501y-in-the-spike-protein/585
[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
[1] https://nextstrain.org/groups/neherlab/ncov/netherlands?c=country
[1] https://www.cdc.gov/coronavirus/2019-ncov/downloads/Factsheet-for-Patients-2019-nCoV.pdf

Top URLs in Tweet in G7:
[1] https://www.biorxiv.org/cgi/content/short/2021.01.09.426058v1

Top URLs in Tweet in G8:
[11] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[5] 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] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[2] http://S.Africa
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html?sf241679149=1
[1] https://cov-lineages.org/
[1] https://www.cdc.gov/coronavirus/2019-ncov/transmission/variant.html
[1] https://twitter.com/Mohammadsrt/status/1348319476920569857

Top URLs in Tweet in G9:
[9] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] 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

Top URLs in Tweet in G10:
[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 Domains
Top Domains in Tweet in Entire Graph:
[516] cdc.gov
[224] go.jp
[185] nextstrain.org
[143] cov-lineages.org
[53] who.int
[51] twitter.com
[40] scholarsportal.info
[34] elsevierhealth.com
[34] virological.org
[27] 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:
[158] nextstrain.org
[136] cov-lineages.org
[6] go.jp
[5] virological.org
[5] finlaymagui.re
[3] wisc.edu
[2] cdc.gov
[2] pasteur.fr
[1] github.com
[1] twitter.com

Top Domains in Tweet in G4:
[59] go.jp
[51] cdc.gov
[40] scholarsportal.info
[16] elsevierhealth.com
[15] virological.org
[9] twitter.com
[9] who.int
[7] nih.gov
[6] nextstrain.org
[4] biorxiv.org

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

Top Domains in Tweet in G6:
[5] virological.org
[3] nextstrain.org
[2] who.int
[2] biorxiv.org
[2] cdc.gov
[1] fda.gov

Top Domains in Tweet in G7:
[1] biorxiv.org

Top Domains in Tweet in G8:
[30] cdc.gov
[3] twitter.com
[2] s.africa
[1] cov-lineages.org
[1] elsevierhealth.com
[1] org.uk

Top Domains in Tweet in G9:
[10] cdc.gov
[2] nature.com
[1] ucsf.edu

Top Domains in Tweet in G10:
[40] go.jp
[6] twitter.com
[4] cdc.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[233] covid19
[166] sarscov2
[129] opendata
[50] coronavirus
[43] covid
[42] ncov
[41] corona
[40] virus
[38] novel
[38] sars



Top Hashtags in Tweet in G3:
[129] covid19
[128] opendata
[128] sarscov2
[2] ncov2019
[2] coronavirus
[1] pathwest

Top Hashtags in Tweet in G4:
[34] covid19
[26] sarscov2
[4] coronavirus
[3] covid19papers
[2] 新型コロペ
[2] 英国新型
[2] sars
[2] covid
[2] vaccine
[2] rtalb

Top Hashtags in Tweet in G6:
[1] covid

Top Hashtags in Tweet in G7:
[1] biorxiv_micrbio

Top Hashtags in Tweet in G8:
[3] covid19
[3] sarscov2
[2] covidisairborne
[2] sars
[2] mers
[2] newcovidvariants
[2] voc20201201
[2] b117
[2] uk
[2] 501yv2

Top Hashtags in Tweet in G10:
[3] 国立æ„ÿæÿ“症研究所
[3] niid
[1] covid19
[1] covid19japan

Top Words
Top Words in Tweet in Entire Graph:
[1467] sars
[1349] cov
[1223] æ
[1154] ç
[894] ncov
[708] sequences
[607] coronavirus
[541] one
[534] novel
[529] year

Top Words in Tweet in G1:
[509] sars
[508] year
[508] chinese
[508] novel
[508] coronavirus
[508] ncov
[507] cov
[505] one
[505] ago
[505] 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:
[274] nextstrain
[177] sequences
[147] gisaid
[145] thanks
[139] lineage
[138] updated
[137] variant
[137] clade
[137] 501y
[136] emerging

Top Words in Tweet in G4:
[204] sars
[200] cov
[192] æ
[174] ç
[99] 19
[94] covid
[75] ncov
[61] ϋ
[57] ãƒ
[53] 2019

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

Top Words in Tweet in G6:
[122] sars
[122] cov
[44] great
[44] published
[44] guidance
[44] sequencing
[44] analysis
[44] public
[44] health
[44] response

Top Words in Tweet in G7:
[76] sars
[76] ncov
[74] thread
[74] attaaaggtt
[74] tataccttcc
[74] caggtaacaa
[74] accaaccaac
[74] tttcgatctc
[74] ttgtagatct
[74] 61

Top Words in Tweet in G8:
[29] cdcgov
[14] sars
[10] cov
[10] covid
[10] 19
[8] cdc
[7] coronavirus
[7] 2019
[7] transmission
[6] disease

Top Words in Tweet in G9:
[42] masks
[42] distancing
[41] worn
[41] universally
[41] properly
[41] protect
[41] communities
[41] covid
[41] 19
[41] paired

Top Words in Tweet in G10:
[343] ç
[244] æ
[121] ãƒ
[82] åˆ
[68] cov
[61] ϋ
[58] èª
[54] sars
[49] ªã
[46] ÿæÿ

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1270] sars,cov
[565] coronavirus,ncov
[539] ncov,sars
[527] novel,coronavirus
[516] one,year
[516] year,ago
[516] ago,today
[516] today,chinese
[516] chinese,scientists
[516] scientists,posted

Top Word Pairs in Tweet in G1:
[508] novel,coronavirus
[507] sars,cov
[505] one,year
[505] year,ago
[505] ago,today
[505] today,chinese
[505] chinese,scientists
[505] scientists,posted
[505] posted,first
[505] 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:
[137] nextstrain,clade
[136] variant,emerging
[136] lineage,described
[134] trvrb,variant
[128] thanks,#opendata
[128] #opendata,sharing
[128] sharing,gisaid
[128] gisaid,we've
[128] we've,updated
[128] #covid19,#sarscov2

Top Word Pairs in Tweet in G4:
[186] sars,cov
[72] ç,æ
[66] covid,19
[43] æ,ÿæÿ
[40] scholars,portal
[32] ç,ç
[30] cov,2æ
[29] ncov,19
[29] 2æ,ç
[29] æ,ªã

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

Top Word Pairs in Tweet in G6:
[122] 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 Word Pairs in Tweet in G7:
[74] thread,sars
[74] sars,ncov
[74] ncov,attaaaggtt
[74] attaaaggtt,tataccttcc
[74] tataccttcc,caggtaacaa
[74] caggtaacaa,accaaccaac
[74] accaaccaac,tttcgatctc
[74] tttcgatctc,ttgtagatct
[74] ttgtagatct,61
[74] 61,gttctctaaa

Top Word Pairs in Tweet in G8:
[10] sars,cov
[9] covid,19
[6] coronavirus,disease
[6] disease,2019
[6] 2019,covid
[6] 19,cdcgov
[4] cov,variants
[3] el_lingotazzo,marichu321
[3] marichu321,cdcgov
[3] cdcgov,explica

Top Word Pairs in Tweet in G9:
[41] masks,worn
[41] worn,universally
[41] universally,properly
[41] properly,protect
[41] protect,communities
[41] communities,covid
[41] covid,19
[41] 19,paired
[41] paired,socially
[41] socially,distancing

Top Word Pairs in Tweet in G10:
[102] ç,ç
[101] ç,æ
[50] sars,cov
[48] åˆ,ç
[37] cov,2æ
[37] 2æ,ç
[37] åž,ãƒ
[37] ãƒ,ペã
[34] èª,æÿ
[34] ペã,ãƒ

Top Replied-To
Top Replied-To in Entire Graph:
@quinazagga
@chris_f_carson
@rokemi17
@kokodavila1
@snapple4life1
@maggmountains
@ivaningrad
@mattyparks12
@cdog1639
@juliahb1

Top Replied-To in G3:
@drleemachado
@gisaid
@lorenacschaves
@nextstrain
@clavaguerac

Top Replied-To in G6:
@_b_meyer
@marionkoopmans
@menzewouda

Top Replied-To in G8:
@contrarian4data
@nickzurich
@bgonpar1
@el_lingotazzo
@mar_de_alboran
@wahealth
@explosions_of
@cdcgov
@joshvanlow
@jimstoffel

Top Replied-To in G9:
@jarkkohelenius
@bigjoshinaz
@stephenaelliot
@hereconcentrate
@mightychiefs17
@keyseysheehan
@critica16626668
@kight_brian

Top Replied-To in G10:
@mask_passenger

Top Mentioned
Top Mentioned in Entire Graph:
@barneygrahammd
@ingrahamangle
@nextstrain
@gisaid
@trvrb
@laurie_garrett
@alexhern
@hill_sarahc
@minesoh
@ncdhhs

Top Mentioned in G1:
@barneygrahammd
@neurophysik

Top Mentioned in G2:
@ingrahamangle

Top Mentioned in G3:
@nextstrain
@gisaid
@trvrb
@firefoxx66
@gagekmoreno
@nswhpathology
@univtunismanar
@westsydhealth
@sydney_uni
@institutpasteur

Top Mentioned in G4:
@pall336_2
@whitecoffeemy
@tsubtext

Top Mentioned in G5:
@laurie_garrett
@barneygrahammd

Top Mentioned in G6:
@hill_sarahc
@marionkoopmans
@absteward
@bubblechuck
@daltmann10
@barneygrahammd
@stefanoberto83
@giorgiogilestro
@marco_heffler

Top Mentioned in G7:
@alexhern
@biorxiv_micrbio

Top Mentioned in G8:
@cdcgov
@realdonaldtrump
@observatorio14
@marichu321
@twittersupport
@nnako2
@lazaruslong13
@chrisblyth74
@cho_wahealth
@el_lingotazzo

Top Mentioned in G9:
@ncdhhs
@nypost
@takenincontext
@jarkkohelenius
@colesteffensen
@vetuss
@mattshaw_71
@juliess31
@tai_edits
@joelpettey

Top Mentioned in G10:
@mariebell321
@earl_med_tw
@carpe_diem0820
@shima_usa96
@ryoma_tanaka
@influenzer3
@celtic_airs
@pingue7
@polaris_sky
@mask_passenger

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@m_m1941
@threadreaderapp
@lennaleprena
@matiere
@inabster
@nobby15
@billm9
@sosorasora3
@milenio

Top Tweeters in G1:
@cipherequality
@lizditz
@brendaperrott
@adekleine
@edgeoforever
@mgt_coull26
@skalanote
@chorporisrunnin
@supitchaa_
@deelishis_dee

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

Top Tweeters in G3:
@matiere
@inabster
@billm9
@sosorasora3
@iflck
@silvrib
@miti_vigliero
@gonzalobarria
@8000yo
@sdot_meezy

Top Tweeters in G4:
@gooochin
@cordwainerscat
@jeannebartram
@ngourd
@peko409
@arifjamallodhi
@julysees
@qzv00507
@pauldutton1968
@ompfarm

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

Top Tweeters in G6:
@euphoriceuler
@medicblasto
@mihulkas
@gmopundit
@pathogenomenick
@theskyisbluish
@wdekanter
@jjcrazydiamond
@erincowgill
@cyrilpedia

Top Tweeters in G7:
@spacepootler
@praowproud
@atomicthumbs
@hikari_no_yume
@strongmisgiving
@poppy_haze
@drahalsey
@sarahdcady
@shoofle
@liev

Top Tweeters in G8:
@newsweek
@jimprall
@fali_mz
@observatorio14
@photo_journ
@rsbrandt44
@chrislancashir3
@realdonaldtrump
@angelapauloo
@marichu321

Top Tweeters in G9:
@bexxmodd
@austinlouis5
@nypost
@epuujee
@fatbaldguyracin
@graced_blossom
@glorbis
@pauldecampo
@ncdotgov
@chigbarg

Top Tweeters in G10:
@ja8yum
@cao58020
@machsunday
@pantyosu
@hounds02
@forzaoldbasterd
@may_hbt
@garrod9900
@kayako_sub
@sleet_58


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