SARS-NCOV, Twitter, 1/8/2021 12:50:58 PM, 245201


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SARS-NCOV_2021-01-08_03-14-31.xlsx
SARS-NCOV_2021-01-08_03-14-31.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 08, 2021
Short Description:
SARS-NCOV via NodeXL https://bit.ly/2MFnM6l
@cdcgov
@nextstrain
@joebiden
@ksorbs
@realdonaldtrump
@kenn_ffci
@razz_li
@box_a_chocluts
@zephyr9673
@catlady111310

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

Description:
Description
The graph represents a network of 4,213 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 Friday, 08 January 2021 at 11:20 UTC.

The requested start date was Friday, 08 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, 11-hour, 16-minute period from Friday, 25 December 2020 at 02:28 UTC to Thursday, 07 January 2021 at 13:44 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 : 4213
Unique Edges : 2785
Edges With Duplicates : 3521
Total Edges : 6306
Number of Edge Types : 5
Retweet : 1407
MentionsInRetweet : 1777
Replies to : 766
Tweet : 472
Mentions : 1884
Self-Loops : 487
Reciprocated Vertex Pair Ratio : 0.00714990138067061
Reciprocated Edge Ratio : 0.0141982864137087
Connected Components : 624
Single-Vertex Connected Components : 196
Maximum Vertices in a Connected Component : 1262
Maximum Edges in a Connected Component : 2245
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.54713
Graph Density : 0.000230203667975644
Modularity : 0.652341
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,213 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 Friday, 08 January 2021 at 11:20 UTC.

The requested start date was Friday, 08 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, 11-hour, 16-minute period from Friday, 25 December 2020 at 02:28 UTC to Thursday, 07 January 2021 at 13:44 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:
[545] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[107] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[92] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10084-covid19-28.html
[80] https://nextstrain.org/ncov
[76] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[63] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10087-covid19-29.html
[39] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[38] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[34] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[27] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html

Top URLs in Tweet in G1:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html

Top URLs in Tweet in G2:
[41] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10084-covid19-28.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=
[19] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[13] 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
[12] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[11] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasr-news/10022-491p01.html
[11] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10087-covid19-29.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[6] https://www.who.int/csr/don/21-december-2020-sars-cov2-variant-united-kingdom/en/

Top URLs in Tweet in G3:
[36] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10090-covid19-30.html
[32] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10084-covid19-28.html
[31] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10087-covid19-29.html
[18] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10098-covid19-31.html
[12] https://www.niid.go.jp/niid/ja/basic-science/virology/10097-virology-2021-1.html
[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
[2] https://nextstrain.org/ncov
[2] https://twitter.com/pingue7/status/1341523383788265474
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html

Top URLs in Tweet in G4:
[40] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[11] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[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 G5:
[34] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-emerging-variant.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[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://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/lab/multiplex.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html?fbclid=IwAR3njQkXkmlamx7AltdwRSinx1bRmKaJWLT8kl6zI0aAItYh-xiWZlIMO8c
[1] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html

Top URLs in Tweet in G6:
[77] https://nextstrain.org/ncov
[8] https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/scientific-brief-emerging-variants.html
[4] https://nextstrain.org/ncov/africa
[4] https://discussion.nextstrain.org
[3] https://nextstrain.org/ncov/global
[2] https://go.wisc.edu/r7374f
[1] https://nextstrain.org/ncov/north-america
[1] https://nextstrain.org/ncov/south-america
[1] https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/10087-covid19-29.html
[1] https://www.niid.go.jp/niid/ja/basic-science/virology/10097-virology-2021-1.html

Top URLs in Tweet in G7:
[1] 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

Top URLs in Tweet in G8:
[1] https://medium.com/@parveenkaswan/human-behavior-is-the-bigger-enemy-than-virus-478a6b429f01

Top URLs in Tweet in G9:
[19] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[4] https://www.americanthinker.com/blog/2020/12/the_vaccine_shows_that_for_democrats_politics_always_override_principles.html
[3] https://bmjopen.bmj.com/content/5/4/e006577
[3] https://www.cdc.gov/coronavirus/2019-ncov/vaccines/different-vaccines/mrna.html
[2] https://wwwnc.cdc.gov/eid/article/26/10/20-0948_article
[2] https://aip.scitation.org/doi/10.1063/5.0034580?cookieSet=1
[1] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top URLs in Tweet in G10:
[20] https://www.cdc.gov/coronavirus/2019-ncov/more/masking-science-sars-cov2.html
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[1] https://www.washingtontimes.com/news/2020/apr/27/anthony-fauci-should-explain-37-million-wuhan-labo/

Top Domains
Top Domains in Tweet in Entire Graph:
[798] cdc.gov
[363] go.jp
[133] nextstrain.org
[52] sputnikvaccine.com
[49] who.int
[49] twitter.com
[44] scholarsportal.info
[40] principia-scientific.com
[36] nih.gov
[34] elsevierhealth.com

Top Domains in Tweet in G1:
[3] cdc.gov

Top Domains in Tweet in G2:
[102] go.jp
[65] cdc.gov
[44] scholarsportal.info
[16] elsevierhealth.com
[15] nih.gov
[14] twitter.com
[10] who.int
[7] ne.jp
[5] nextstrain.org
[5] recombinomics.co

Top Domains in Tweet in G3:
[137] go.jp
[8] cdc.gov
[7] twitter.com
[5] nextstrain.org
[1] blog.jp
[1] virological.org

Top Domains in Tweet in G4:
[52] cdc.gov
[1] wsj.com

Top Domains in Tweet in G5:
[52] cdc.gov
[2] s.africa
[2] twitter.com
[2] nature.com
[1] org.uk
[1] nextstrain.org
[1] healthaffairs.org
[1] sciencedirect.com
[1] fast.ai
[1] threadreaderapp.com

Top Domains in Tweet in G6:
[92] nextstrain.org
[10] cdc.gov
[3] go.jp
[2] wisc.edu
[2] finlaymagui.re
[2] twitter.com
[1] github.com
[1] pasteur.fr
[1] publichealthontario.ca

Top Domains in Tweet in G7:
[2] cdc.gov

Top Domains in Tweet in G8:
[1] medium.com

Top Domains in Tweet in G9:
[25] cdc.gov
[4] americanthinker.com
[3] bmj.com
[2] scitation.org

Top Domains in Tweet in G10:
[21] cdc.gov
[1] washingtontimes.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[209] covid19
[114] sarscov2
[80] opendata
[68] coronavirus
[67] covid
[61] corona
[61] virus
[60] ncov
[57] novel
[57] travel



Top Hashtags in Tweet in G2:
[34] covid19
[30] sarscov2
[7] covid19papers
[3] 新型コロナ
[3] 新型コロナウイルス
[2] covid
[2] sars
[2] 英国新型
[1] cdc
[1] コロナ系統分析

Top Hashtags in Tweet in G3:
[3] covid19
[3] 国立感染症研究所
[3] niid
[2] opendata
[2] sarscov2
[1] covid19japan

Top Hashtags in Tweet in G4:
[12] covidiot
[1] wearthedamnmask

Top Hashtags in Tweet in G5:
[3] covid19
[3] essentialworkers
[2] newcovidvariants
[2] voc20201201
[2] b117
[2] uk
[2] 501yv2
[2] b1351
[2] maskup
[1] b1207

Top Hashtags in Tweet in G6:
[77] opendata
[77] covid19
[77] sarscov2
[1] covidisairborne
[1] lol
[1] thereisnodebate

Top Words
Top Words in Tweet in Entire Graph:
[1074] cov
[733] sars
[457] variants
[435] evidence
[394] currently
[388] re
[375] viral
[372] before
[371] strains
[367] fauci

Top Words in Tweet in G1:
[362] ingrahamangle
[362] variants
[361] before
[361] fauci
[361] freak
[361] re
[361] viral
[361] strains
[361] currently
[361] evidence

Top Words in Tweet in G2:
[213] cov
[147] sars
[104] covid
[101] 19
[77] 2新規変異株について
[76] 感染性の増加が懸念されるsars
[67] ncov
[51] 2019
[44] articles
[44] scholars

Top Words in Tweet in G3:
[241] cov
[158] 感染性の増加が懸念されるsars
[101] 2新規変異株について
[66] 12
[65] 2020
[48] 新型コロナウイルスsars
[48] 2のゲノム分子疫学調査
[48] 2020年10月26日現在
[46] 後者なら現在冬の北半球のさらなる脅威となり
[46] 変異がrbd領域に多い事からはその可能性が高いのかもしれません

Top Words in Tweet in G4:
[24] tweet
[22] joebiden
[21] ksorbs
[20] start
[14] 50
[13] masks
[12] cdc
[12] 'next
[12] level
[12] ignorant'

Top Words in Tweet in G5:
[51] cdcgov
[42] sars
[39] cov
[22] covid
[20] 19
[17] virus
[16] variant
[15] emerging
[11] science
[11] implications

Top Words in Tweet in G6:
[95] sequences
[90] nextstrain
[85] thanks
[85] we've
[84] gisaid
[77] #opendata
[77] sharing
[77] updated
[77] #covid19
[77] #sarscov2

Top Words in Tweet in G7:
[3] jencages
[2] politicspot
[2] gopkleptocrat
[2] concernedinpv
[2] kubej9
[2] slimjimjohn1
[2] kent_nye
[2] _kel_varnsen_
[2] gurleysgrl
[2] raginxcajun

Top Words in Tweet in G8:
[96] nature
[96] fighting
[96] back
[96] natural
[96] degradation
[96] cost
[96] dear
[96] last
[96] decades
[96] major

Top Words in Tweet in G9:
[9] cdc
[8] kurteichenwald
[8] sars
[7] nypost
[7] masks
[7] vaccine
[6] washingtonpost
[6] control
[5] hawleymo
[5] newsmax

Top Words in Tweet in G10:
[16] thehill
[14] gt
[10] aka
[9] covid
[7] 19
[6] 20
[6] substances
[6] data
[6] masks
[6] cdc

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[594] sars,cov
[384] currently,evidence
[365] evidence,variants
[361] before,fauci
[361] fauci,freak
[361] freak,re
[361] re,viral
[361] viral,strains
[361] strains,currently
[360] ingrahamangle,before

Top Word Pairs in Tweet in G1:
[361] before,fauci
[361] fauci,freak
[361] freak,re
[361] re,viral
[361] viral,strains
[361] strains,currently
[361] currently,evidence
[361] evidence,variants
[360] ingrahamangle,before

Top Word Pairs in Tweet in G2:
[121] sars,cov
[77] cov,2新規変異株について
[76] 感染性の増加が懸念されるsars,cov
[71] covid,19
[44] scholars,portal
[41] 2新規変異株について,第2報
[28] 2019,ncov
[25] ncov,19
[23] #covid19,#sarscov2
[22] chadox1,ncov

Top Word Pairs in Tweet in G3:
[158] 感染性の増加が懸念されるsars,cov
[101] cov,2新規変異株について
[65] 2020,12
[48] 新型コロナウイルスsars,cov
[48] cov,2のゲノム分子疫学調査
[48] 2のゲノム分子疫学調査,2020年10月26日現在
[46] 後者なら現在冬の北半球のさらなる脅威となり,変異がrbd領域に多い事からはその可能性が高いのかもしれません
[46] 変異がrbd領域に多い事からはその可能性が高いのかもしれません,日本では症例の1割でウイルスの遺伝子解析が行われていると記載されています
[46] 日本では症例の1割でウイルスの遺伝子解析が行われていると記載されています,感染性の増加が懸念されるsars
[45] influenzer3,後者なら現在冬の北半球のさらなる脅威となり

Top Word Pairs in Tweet in G4:
[12] 'next,level
[12] level,ignorant'
[12] ignorant',tweet
[12] tweet,filter
[12] filter,picked
[12] picked,tweet
[12] tweet,win
[12] win,biggest
[12] biggest,#covidiot
[11] #covidiot,day

Top Word Pairs in Tweet in G5:
[39] sars,cov
[20] covid,19
[15] emerging,sars
[12] cov,variant
[11] implications,emerging
[11] variant,voc
[11] voc,202012
[11] 202012,01
[11] 01,cdcgov
[11] cdcgov,excelente

Top Word Pairs in Tweet in G6:
[77] thanks,#opendata
[77] #opendata,sharing
[77] sharing,gisaid
[77] gisaid,we've
[77] we've,updated
[77] #covid19,#sarscov2
[77] #sarscov2,sequences
[69] nextstrain,thanks
[26] sars,cov
[23] updated,13629

Top Word Pairs in Tweet in G7:
[2] kubej9,slimjimjohn1
[2] slimjimjohn1,kent_nye
[2] kent_nye,_kel_varnsen_
[2] _kel_varnsen_,gurleysgrl
[2] gurleysgrl,raginxcajun
[2] raginxcajun,jencages
[2] jencages,cloudzzz757
[2] cloudzzz757,r0xie_f0x
[2] r0xie_f0x,hrt6017

Top Word Pairs in Tweet in G8:
[96] nature,fighting
[96] fighting,back
[96] back,natural
[96] natural,degradation
[96] degradation,cost
[96] cost,dear
[96] dear,last
[96] last,decades
[96] decades,major
[96] major,viruses

Top Word Pairs in Tweet in G9:
[4] oann,newsmax
[4] sars,cov
[4] years,concern
[4] concern,gmo
[4] gmo,genetic
[4] genetic,modify
[4] modify,foods
[4] foods,issue
[4] issue,mrna
[4] mrna,cdc

Top Word Pairs in Tweet in G10:
[7] aka,covid
[7] covid,19
[6] sars,cov
[5] 19,20
[5] 20,21
[3] south,africa
[3] medical,oxygen
[3] joys,angel
[3] angel,dust
[3] dust,same

Top Replied-To
Top Replied-To in Entire Graph:
@quinazagga
@chris_f_carson
@rokemi17
@cdcgov
@maggmountains
@smh
@andyhrovat
@rubengodofredo
@jerry__grey
@nikolovscience

Top Replied-To in G1:
@rhine1964
@andreas56428682

Top Replied-To in G3:
@ssoshu
@covid_19_info_
@huffpostjapan
@masahirono
@livedoornews

Top Replied-To in G4:
@maggmountains
@thegunluvr
@ksorbs
@aluhoedje33
@robynwoods0303
@pdxanarchist
@galleman
@darkstarcult
@tmhnilm
@craigworrell

Top Replied-To in G5:
@cdcgov
@marcorubio
@joshvanlow
@jimstoffel
@tomfitton
@spartannewsman
@adamst57
@mikesto96265524
@peakspike
@jackcan77

Top Replied-To in G6:
@drleemachado
@drkiki
@harryspoelstra
@clavaguerac
@jmcrookston
@chrislancashir3
@potatoes187

Top Replied-To in G7:
@truthdg19
@nobodyinco
@kubej9

Top Replied-To in G9:
@durksturdy
@kurteichenwald
@6b4bc93416fe402
@rjkas419
@critica16626668
@kight_brian
@mattyparks12
@bodybuildong1
@proamerica12
@wfoster00

Top Replied-To in G10:
@jerry__grey
@trumpcard_14
@guytaylor10
@eategrity_sonia
@socialistvoice
@kylegriffin1
@jaketapper
@repadamschiff
@theodjager
@anthonyverwey

Top Mentioned
Top Mentioned in Entire Graph:
@ingrahamangle
@tveitdal
@gisaid
@nextstrain
@cdcgov
@kenmomd
@influenzer3
@mariebell321
@minesoh
@earthshakerph

Top Mentioned in G1:
@ingrahamangle
@jackpolakoff

Top Mentioned in G2:
@coronav56327011
@bal_since_2020

Top Mentioned in G3:
@influenzer3
@kenmomd
@mariebell321
@covid_19_info_
@shima_usa96
@uwemon
@sosorasora3
@priamalfear
@pingue7
@nextstrain

Top Mentioned in G4:
@joebiden
@ksorbs
@connie93339375
@maggmountains
@murray_nyc
@shellymarie19xx
@its_menieb
@ncdhhs
@lazaruslong13
@cur_mudgeon

Top Mentioned in G5:
@cdcgov
@bacigalupe
@realdonaldtrump
@collignonpeter
@alexbolze
@tomfitton
@kamalaharris
@alinouriphd
@mubazieric
@comilla_s

Top Mentioned in G6:
@gisaid
@nextstrain
@firefoxx66
@gagekmoreno
@dmaccannell
@kprather88
@jljcolorado
@linseymarr
@shellymboulder
@trishgreenhalgh

Top Mentioned in G7:
@jencages
@politicspot
@gopkleptocrat
@concernedinpv
@slimjimjohn1
@kent_nye
@_kel_varnsen_
@gurleysgrl
@raginxcajun
@cloudzzz757

Top Mentioned in G8:
@tveitdal
@parveenkaswan

Top Mentioned in G9:
@nypost
@kurteichenwald
@washingtonpost
@hawleymo
@newsmax
@oann
@cdc
@nadinbrzezinski
@us_fda
@americanthinker

Top Mentioned in G10:
@thehill
@ap
@theodjager
@realdonaldtrump
@potus
@paratus2014
@governmentza
@cnn
@pjellyyyyy
@voice0freazon

Top Tweeters
Top Tweeters in Entire Graph:
@ja8yum
@m_m1941
@jurylady5
@ecodaren
@matiere
@lopezgovlaw
@inabster
@sosorasora3
@cao58020
@madfall1213

Top Tweeters in G1:
@perezguadarrama
@blisstabitha
@anzers
@nmharley2
@kyleraccio
@sampleatl
@wtpbn
@lumezgo77
@omarbula
@angietink

Top Tweeters in G2:
@matiere
@gooochin
@halpal02_mof28
@pearlfectchassi
@julysees
@seqcomplete
@bakegaki
@collbrande
@kokikokiya
@eldispensador

Top Tweeters in G3:
@ja8yum
@ecodaren
@sosorasora3
@cao58020
@hiruandon89
@noriesun
@packraty
@cordwainerscat
@uchida_kawasaki
@ayukero52

Top Tweeters in G4:
@juliereichwein1
@thr
@riotwomennn
@epuujee
@edwardashton30
@ohnoshetwitnt
@trinityresists
@galleman
@letruneinedil
@mettasserious

Top Tweeters in G5:
@jurylady5
@msccollins1
@mattlabor
@pablotopo
@freddyfuddrucke
@jimprall
@justloo85230955
@mgmglobal
@rosenfieldclar1
@jojofromjerz

Top Tweeters in G6:
@kirkmurphy
@bprophetable
@mig30m6
@meloniasherban
@hope4ever4q8
@hdberretz
@antifadisabled
@kerorrin
@coacheshotseat
@hhb_yori

Top Tweeters in G7:
@chholte
@rickysi16087724
@vickie627
@mrfly187
@ladyoftheocean1
@mongo3804
@42gnome
@medwoman1
@rpcovit
@katgal2

Top Tweeters in G8:
@marthalynneowe1
@alizardx
@scheerenberger
@gezgintrk
@janattheocean
@xaipe3
@o_g_log
@deopiniemaker
@quick13
@saleemulhuq

Top Tweeters in G9:
@kuins
@foxnews
@washingtonpost
@nypost
@cosmopolitan
@oann
@fatbaldguyracin
@kurteichenwald
@newsmax
@thiafinart

Top Tweeters in G10:
@thehill
@socialistvoice
@cnn
@washtimes
@ap
@jaketapper
@weblollipop1
@stopplaasmoorde
@kenn_ffci
@our_da


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