SARS-NCOV, Twitter, 10/16/2020 12:11:30 PM, 238092


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SARS-NCOV_2020-10-16_02-37-45.xlsx
SARS-NCOV_2020-10-16_02-37-45.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 16, 2020
Short Description:
SARS-NCOV via NodeXL https://bit.ly/3dDXFGr
@cdcgov
@peteralexander
@realdonaldtrump
@digiphile
@lauraapollo
@speakerpelosi
@kayvonpaul
@eddarrell
@reutsmichael1
@samsonot

Top hashtags:
#covid19
#sarscov2
#contactocercano
#opendata
#rtalb
#新型コロペウイルス

Description:
Description
The graph represents a network of 3,421 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, 16 October 2020 at 09:39 UTC.

The requested start date was Friday, 16 October 2020 at 00:01 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, 20-hour, 1-minute period from Friday, 02 October 2020 at 01:03 UTC to Thursday, 15 October 2020 at 21:04 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 : 3421
Unique Edges : 1850
Edges With Duplicates : 4046
Total Edges : 5896
Number of Edge Types : 5
Replies to : 405
Tweet : 286
Retweet : 1875
MentionsInRetweet : 2390
Mentions : 940
Self-Loops : 305
Reciprocated Vertex Pair Ratio : 0.00733013814491119
Reciprocated Edge Ratio : 0.0145535964175763
Connected Components : 417
Single-Vertex Connected Components : 126
Maximum Vertices in a Connected Component : 1528
Maximum Edges in a Connected Component : 3113
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.091827
Graph Density : 0.000305389313681749
Modularity : 0.595248
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,421 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, 16 October 2020 at 09:39 UTC.

The requested start date was Friday, 16 October 2020 at 00:01 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, 20-hour, 1-minute period from Friday, 02 October 2020 at 01:03 UTC to Thursday, 15 October 2020 at 21:04 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:
[439] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[214] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[54] https://nextstrain.org/ncov
[28] 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=
[22] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[14] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[10] https://www.publichealthontario.ca/-/media/documents/ncov/main/2020/09/cycle-threshold-values-sars-cov2-pcr.pdf?la=en
[10] https://www.lci.fr/sante/en-direct-coronavirus-pandemie-virus-sars-ncov-deuxieme-vague-adversaire-des-bleus-dimanche-cristiano-ronaldo-teste-positif-au-covid-19-2161513.html?utm_medium=Social&utm_source=Twitter#Echobox=1602600376
[10] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Top URLs in Tweet in G1:
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html

Top URLs in Tweet in G2:
[44] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/downloads/genomic-characterization-of-2019-nCoV-Lancet-1-29-2020.pdf
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html?utm_content=141708095&utm_medium=social&utm_source=twitter&hss_channel=tw-177819064
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[1] https://twitter.com/NBSaphierMD/status/1314691294657159174
[1] https://twitter.com/brianefallon/status/1315008320005189633
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/special-populations/pregnancy-data-on-covid-19.html
[1] https://virological.org/t/the-sarbecovirus-origin-of-sars-cov-2-s-furin-cleavage-site/536
[1] https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=237428

Top URLs in Tweet in G3:
[181] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/

Top URLs in Tweet in G4:
[2] https://twitter.com/daniel_bilar/status/1151825818982715395
[2] https://www.cdc.gov/coronavirus/2019-ncov/lab/grows-virus-cell-culture.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html
[1] https://www.ncbi.nlm.nih.gov/pmc/?term=2019-nCoV+OR+2019nCoV+OR+COVID-19+OR+SARS-CoV-2+OR+((wuhan+AND+coronavirus)+AND+2019%2F12%5BPDAT%5D%3A2030%5BPDAT%5D
[1] https://www.ncbi.nlm.nih.gov/pmc/?term=2019-nCoV+OR+2019nCoV+OR+COVID-19+OR+SARS-CoV-2+OR+((wuhan+AND+coronavirus)+AND+2019%2F12%5BPDAT%5D%3A2030%5BPDAT%5D)%20AND%20
[1] https://twitter.com/ianfmusgrave/status/1316136372801998848
[1] https://twitter.com/NosniboRleahciM/status/1316051542064144387
[1] https://harvardtothebighouse.com/2020/01/31/logistical-and-technical-analysis-of-the-origins-of-the-wuhan-coronavirus-2019-ncov/
[1] https://www.sciencedirect.com/science/article/pii/S0166354220300528#bib4
[1] https://twitter.com/daniel_bilar/status/1155556585499967489

Top URLs in Tweet in G5:
[54] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[8] https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
[5] https://www.lci.fr/sante/en-direct-covid-19-27-etablissements-scolaires-fermes-plus-de-8-200-eleves-positifs-au-coronavirus-sur-les-7-derniers-jours-2161513.html
[4] https://www.cdc.gov/coronavirus/2019-ncov/hcp/testing-overview.html
[3] https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/ppmedrxiv-20206151
[2] http://r.socialstudio.radian6.com/16634627-6461-4a76-9e95-f811bf89400d
[2] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/disposition-in-home-patients.html
[1] https://yamaguchisetsuo.wordpress.com/2020/10/04/%e3%80%8csars-likecov%e3%81%a7%e7%a2%ba%e8%aa%8d%e3%81%95%e3%82%8c%e3%81%9f%e3%82%b2%e3%83%8e%e3%83%a0%e9%85%8d%e5%88%97%e3%81%a886-9%ef%bc%85%e3%80%8d2019-ncov%e3%81%af%e3%80%81%e3%82%b3%e3%82%a6/
[1] https://www.cdc.gov/coronavirus/2019-ncov/lab/multiplex.html

Top URLs in Tweet in G7:
[22] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/
[7] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[1] https://thewashingtonstandard.com/cdc-documents-no-quantified-virus-isolates-of-the-2019-ncov-are-currently-available/?fbclid=IwAR1eoYEn8eAziDK2lyxVPAX-CUzqbfQTEo_f675ZzqOVI549jmQcFeIBPKI

Top URLs in Tweet in G8:
[6] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html
[6] https://www.cdc.gov/coronavirus/2019-ncov/hcp/faq.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html
[1] https://twitter.com/sarahdwire/status/1313569301245423616?s=20
[1] https://www.cdc.gov/flu/about/burden/2018-2019.html#:~:text=CDC%20estimates%20that%20influenza%20was,the%202018%E2%80%932019%20influenza%20season
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html#:~:text=Reinfection%20with%20SARS%2DCoV,a%20subject%20of%20investigation
[1] https://twitter.com/stillgray/status/1315364816517701633
[1] https://www.cdc.gov/coronavirus/2019-ncov/faq.html
[1] https://theconversation.com/up-to-204-691-extra-deaths-in-the-us-so-far-in-this-pandemic-year-143139
[1] https://www.economist.com/graphic-detail/2020/07/15/tracking-covid-19-excess-deaths-across-countries

Top URLs in Tweet in G9:
[65] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top URLs in Tweet in G10:
[2] https://www.cdc.gov/coronavirus/2019-ncov/more/scientific-brief-sars-cov-2.html

Top Domains
Top Domains in Tweet in Entire Graph:
[586] cdc.gov
[217] thewashingtonstandard.com
[71] nextstrain.org
[56] scholarsportal.info
[35] twitter.com
[16] publichealthontario.ca
[15] lci.fr
[11] nih.gov
[8] gob.es
[5] bvsalud.org

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

Top Domains in Tweet in G2:
[58] cdc.gov
[2] twitter.com
[1] virological.org
[1] nodexlgraphgallery.org

Top Domains in Tweet in G3:
[181] thewashingtonstandard.com

Top Domains in Tweet in G4:
[7] twitter.com
[5] cdc.gov
[2] nih.gov
[1] harvardtothebighouse.com
[1] sciencedirect.com

Top Domains in Tweet in G5:
[84] cdc.gov
[6] nih.gov
[5] twitter.com
[5] lci.fr
[4] bvsalud.org
[3] thewashingtonstandard.com
[2] radian6.com
[2] landtag.de
[2] wikipedia.org
[2] tumblr.com

Top Domains in Tweet in G7:
[23] thewashingtonstandard.com
[7] cdc.gov

Top Domains in Tweet in G8:
[19] cdc.gov
[3] twitter.com
[1] theconversation.com
[1] economist.com
[1] nextstrain.org

Top Domains in Tweet in G9:
[65] cdc.gov

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[225] covid19
[95] sarscov2
[62] contactocercano
[56] opendata
[53] rtalb
[19] 新型コロペウイルス
[18] canalsalut
[15] cdc
[15] sars_cov_2
[13] coronavirus



Top Hashtags in Tweet in G2:
[31] covid19
[4] sarscov2
[4] coronavirus
[2] airbornetransmission
[2] sars_cov_2
[2] cubrebocas
[2] jljcolorado
[2] sars_cov2
[1] usa
[1] covid__19

Top Hashtags in Tweet in G4:
[2] ebola
[2] sars

Top Hashtags in Tweet in G5:
[17] covid19
[7] sarscov2
[6] covid19papers
[4] covid_19
[4] sars_cov_2
[4] airbornetransmission
[3] remdesivir
[3] coronavirus
[2] cdc
[2] virus

Top Hashtags in Tweet in G6:
[1] tiempodeelegir
[1] ejércitobolivarianobicentenario
[1] fanb

Top Hashtags in Tweet in G8:
[2] cdc
[2] covid19
[1] covid__19
[1] presidenttrump
[1] maga2020landslidevictory
[1] coronavirus
[1] trumpcovid19
[1] trump2020
[1] trump

Top Hashtags in Tweet in G10:
[62] covid19
[62] contactocercano
[1] ventila

Top Words
Top Words in Tweet in Entire Graph:
[1667] sars
[1451] cov
[1126] cdc
[722] æ
[571] confirmed
[564] guidelines
[551] œ
[550] patient
[549] suspected
[548] movement

Top Words in Tweet in G1:
[484] trump
[484] drive
[484] flouts
[484] cdc
[484] guidelines
[484] œ
[484] transport
[484] movement
[484] patient
[484] suspected

Top Words in Tweet in G2:
[299] cdcgov
[182] sars
[179] cov
[173] airborne
[171] transmission
[166] people
[131] discusses
[128] saskiapopescu
[108] covid
[105] 19

Top Words in Tweet in G3:
[181] cdc
[181] reconocen
[181] actualmente
[181] dispone
[181] muestra
[181] alguna
[181] sars
[181] cov
[181] aislada
[180] no__plandemia

Top Words in Tweet in G4:
[21] ncov
[20] 2019
[18] sars
[9] cov
[8] ianfmusgrave
[8] use
[8] cleavage
[7] making
[7] billybostickson
[7] furin

Top Words in Tweet in G5:
[107] sars
[72] cov
[56] covid
[51] 19
[43] ncov
[43] ãƒ
[41] cdc
[34] transmission
[31] airborne
[26] 2019

Top Words in Tweet in G6:
[107] recomendaciones
[107] población
[107] acerca
[107] coronavirus
[107] 2019
[107] ncov
[107] organización
[107] mundial
[107] salud
[106] somos_ejercito

Top Words in Tweet in G7:
[117] sars
[104] gibt
[77] cov2
[59] cdc
[58] kein
[58] isolat
[58] bedeutet
[57] usa
[56] skandal
[56] zugegeben

Top Words in Tweet in G8:
[29] sars
[26] realdonaldtrump
[15] cov
[14] ncov
[11] cdc
[10] guidelines
[9] negligent
[8] covid
[8] infection
[8] drive

Top Words in Tweet in G9:
[53] heidinbc
[20] alinouriphd
[13] public
[12] few
[12] examples
[12] scientists
[12] communicating
[12] science
[12] policy
[12] makers

Top Words in Tweet in G10:
[63] transmisión
[62] epidemiología
[62] #covid19
[62] indica
[62] mayoría
[62] infecciones
[62] propagan
[62] #contactocercano
[61] raquelblascor
[2] aerosoles

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[1404] sars,cov
[549] confirmed,sars
[548] movement,patient
[548] patient,suspected
[548] suspected,confirmed
[507] cdc,guidelines
[498] guidelines,œ
[496] transport,movement
[495] œ,transport
[493] trump,drive

Top Word Pairs in Tweet in G1:
[484] trump,drive
[484] drive,flouts
[484] flouts,cdc
[484] cdc,guidelines
[484] guidelines,œ
[484] œ,transport
[484] transport,movement
[484] movement,patient
[484] patient,suspected
[484] suspected,confirmed

Top Word Pairs in Tweet in G2:
[179] sars,cov
[165] airborne,transmission
[105] covid,19
[104] scientific,brief
[103] potential,airborne
[89] brief,sars
[89] cov,potential
[86] really,love
[86] love,cdcgov
[86] cdcgov,scientific

Top Word Pairs in Tweet in G3:
[181] cdc,reconocen
[181] reconocen,actualmente
[181] actualmente,dispone
[181] dispone,muestra
[181] muestra,alguna
[181] alguna,sars
[181] sars,cov
[181] cov,aislada
[180] no__plandemia,cdc

Top Word Pairs in Tweet in G4:
[20] 2019,ncov
[9] sars,cov
[7] furin,cleavage
[6] present,validated
[6] validated,diagnostic
[6] diagnostic,workflow
[6] workflow,2019
[6] ncov,design
[6] design,relying
[6] relying,close

Top Word Pairs in Tweet in G5:
[68] sars,cov
[45] covid,19
[27] airborne,transmission
[19] ãƒ,ãƒ
[18] sars,ncov
[14] 2019,ncov
[12] scientific,brief
[12] cov,potential
[12] potential,airborne
[11] brief,sars

Top Word Pairs in Tweet in G6:
[107] recomendaciones,población
[107] población,acerca
[107] acerca,coronavirus
[107] coronavirus,2019
[107] 2019,ncov
[107] ncov,organización
[107] organización,mundial
[107] mundial,salud
[106] somos_ejercito,recomendaciones

Top Word Pairs in Tweet in G7:
[77] sars,cov2
[58] kein,isolat
[58] isolat,sars
[57] cdc,usa
[56] usa,zugegeben
[56] gibt,kein
[56] cov2,bedeutet
[55] skandal,cdc
[55] zugegeben,gibt
[48] bedeutet,gibt

Top Word Pairs in Tweet in G8:
[15] sars,cov
[13] sars,ncov
[8] cov,infection
[8] cdc,guidelines
[8] guidelines,œ
[5] covid,19
[5] œ,transport
[5] transport,movement
[5] movement,patient
[5] patient,suspected

Top Word Pairs in Tweet in G9:
[12] few,examples
[12] examples,scientists
[12] scientists,communicating
[12] communicating,science
[12] science,policy
[12] policy,makers
[12] makers,public
[12] public,big
[12] big,results
[11] alinouriphd,few

Top Word Pairs in Tweet in G10:
[62] epidemiología,#covid19
[62] #covid19,indica
[62] indica,mayoría
[62] mayoría,infecciones
[62] infecciones,propagan
[62] propagan,#contactocercano
[62] #contactocercano,transmisión
[61] raquelblascor,epidemiología

Top Replied-To
Top Replied-To in Entire Graph:
@realdonaldtrump
@fritzkuhn1
@avidareli
@linseymarr
@juliehouseofwow
@ianfmusgrave
@cdu_bw
@2013boodicca
@epochtimesde
@senkamalaharris

Top Replied-To in G2:
@aleju2
@kiddle
@paddlingupcreek
@danieldimartino
@winstonszeto
@cdcgov

Top Replied-To in G4:
@juliehouseofwow
@ianfmusgrave
@peterre76976220
@usefulbanter
@bottomleyfiona
@christi45657364
@peterpa18592329
@7_dsseven
@flavinkins
@bej_gff

Top Replied-To in G7:
@fritzkuhn1
@cdu_bw
@zdfheute
@epochtimesde
@c_drosten
@shomburg
@swraktuellbw
@bild
@regierungbw
@landtag_bw

Top Replied-To in G8:
@realdonaldtrump
@meyphilosophy
@cleavon_md
@drtomfrieden
@adolfoperezdl
@susanagautreau
@marc_lotter
@mary62516
@chevalierjd
@tito132291

Top Mentioned
Top Mentioned in Entire Graph:
@peteralexander
@cdcgov
@no__plandemia
@saskiapopescu
@somos_ejercito
@jenkatesdc
@playstrumpcard
@raquelblascor
@nextstrain
@gisaid

Top Mentioned in G1:
@peteralexander

Top Mentioned in G2:
@cdcgov
@saskiapopescu
@jenkatesdc
@carlosdelrio7
@bmhcaucus
@badfoxgraphics
@peteralexander
@quakermoongirl
@robincogan
@his_infection

Top Mentioned in G3:
@no__plandemia

Top Mentioned in G4:
@billybostickson
@ianfmusgrave
@alisonblunt
@ale_battini
@nosniborleahcim
@lysandergrant
@stopbeingselfi1
@luscious_lorna
@blackwidow_wf
@ephesians6__12

Top Mentioned in G5:
@fullsoule
@jeanrossignol
@schaechterle
@rrodriguez0750
@smackenziekerr
@itilaurent1
@gati53226100

Top Mentioned in G6:
@somos_ejercito

Top Mentioned in G7:
@smunichpower
@phockertz
@who
@zdf
@epochtimesde
@shomburg
@faznet
@tuberlin
@rki_de
@fritzkuhn1

Top Mentioned in G8:
@realdonaldtrump
@speakerpelosi
@senatemajldr
@gtconway3d
@digiphile
@flotus
@bidenteam2020
@potus
@merz
@sephmeister

Top Mentioned in G9:
@heidinbc
@alinouriphd
@cdcgov

Top Mentioned in G10:
@raquelblascor
@cdcgov
@drmiguelmarcos

Top Tweeters
Top Tweeters in Entire Graph:
@oldlady12345
@lopezgovlaw
@joefreedomlove
@delta
@maria_andy2
@inabster
@serendipitysays
@sosorasora3
@yoshiki7111
@menabster

Top Tweeters in G1:
@oldlady12345
@pollsstar
@katcapps
@damonbethea1
@zeeshan_shah_dc
@msmwatchdog2013
@linda1746
@cotey_mary
@wise_diva
@castonchris

Top Tweeters in G2:
@ungubunugu1274
@amyayers16
@pqpolitics
@wechoosewisdom
@jailingtrump
@kiddle
@mamurphymaureen
@denniscardiff
@llacigart
@jazzmanahn

Top Tweeters in G3:
@jappserrallo
@omentando
@lematelot49
@engineer__28
@unkb2
@marcehtam
@isa_uruguay
@jaumeferr
@tr16042615
@magdahoy65

Top Tweeters in G4:
@zeeinthemoment
@bamajeans24
@doritmi
@tarrimarkel
@_mamadeb
@beckyjohnson222
@yatesmouse1
@monstercoyliar
@haveaconcern
@frankdelia7

Top Tweeters in G5:
@yoshiki7111
@mwforhr
@roux_castle
@rfjfan
@ricosacto
@drdannielle
@jeanrossignol
@psuitenetwork
@riseofkentucky
@belgin_kocak

Top Tweeters in G6:
@crispulorb
@melicarola18
@cirmilapure
@adaimararmas
@mariane52485539
@rafaelhernan34
@rodryhj
@adi533jfb
@banmar15m
@carolinazambra9

Top Tweeters in G7:
@bild
@frisch_fish
@graydaygamer
@faznet
@zdf
@moni_24680
@johannes135
@zdfheute
@epochtimesde
@clspelsa

Top Tweeters in G8:
@eddarrell
@therickwilson
@ellendatlow
@_proud_american
@digiphile
@lauraapollo
@jackposobiec
@safeagain1
@mreynolds407
@susanagautreau

Top Tweeters in G9:
@serendipitysays
@marthalynneowe1
@morgfair
@lawgirl318
@dwntwndave
@purrmonsta
@northwind1ndn
@rccmi
@marijodeleon
@trth2pwer68

Top Tweeters in G10:
@galarole08
@lluis1966
@viruto75
@mariafbreslauer
@ppoheisenberg
@precariousmind
@raquelblascor
@elenasaiz63
@pirocarasu
@tki_ojo