NCoV, Twitter, 3/26/2020 7:42:07 PM, 223783


FAQ | Problem?

NCoV_2020-03-26_01-11-05.xlsx
NCoV_2020-03-26_01-11-05.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
March 26, 2020
Short Description:
NCoV via NodeXL https://bit.ly/33LuCMi
@who
@cdcgov
@gendai_biz
@ellatogun
@hubbucket
@jeroenbosman
@kinshasaweb
@tf1lejt
@realdonaldtrump
@salutcat

Top hashtags:
#covid19
#coronavirus
#estevirusloparamosunidos
#3월_25일_0시_기준
#stopbulos
#covidー19
#ncov
#slowthespread

Description:
Description
The graph represents a network of 5,909 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 08:12 UTC.

The requested start date was Thursday, 26 March 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 1-day, 2-hour, 24-minute period from Tuesday, 24 March 2020 at 08:01 UTC to Wednesday, 25 March 2020 at 10:26 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 : 5909
Unique Edges : 6061
Edges With Duplicates : 690
Total Edges : 6751
Number of Edge Types : 4
Replies to : 464
Mentions : 831
MentionsInRetweet : 3879
Tweet : 1577
Self-Loops : 1577
Reciprocated Vertex Pair Ratio : 0.00719424460431655
Reciprocated Edge Ratio : 0.0142857142857143
Connected Components : 1751
Single-Vertex Connected Components : 988
Maximum Vertices in a Connected Component : 777
Maximum Edges in a Connected Component : 1124
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.571519
Graph Density : 0.000140359432434578
Modularity : 0.803905
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,909 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 March 2020 at 08:12 UTC.

The requested start date was Thursday, 26 March 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 1-day, 2-hour, 24-minute period from Tuesday, 24 March 2020 at 08:01 UTC to Wednesday, 25 March 2020 at 10:26 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 : 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:
[73] https://coronavirus.gov/
[55] https://nextstrain.org/ncov
[44] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[38] http://www.tokyo-eiken.go.jp/lb_virus/kensa-ncov/
[37] https://pinoyakoblog.com/blog/senator-koko-pimentel-positive-sa-ncov-19/
[27] https://www.cdc.gov/coronavirus/2019-ncov/hcp/therapeutic-options.html
[27] https://nextstrain.org/ncov?d=tree&p=full&r=country
[25] https://www.cdc.gov/covid19
[22] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[21] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers

Top URLs in Tweet in G1:
[9] https://www.health.gov.au/news/health-alerts/novel-coronavirus-2019-ncov-health-alert/coronavirus-covid-19-current-situation-and-case-numbers
[5] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[5] https://nextstrain.org/ncov
[5] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[5] http://www.cdc.gov
[4] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-diabetis.pdf
[3] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html
[3] https://coronavirus.gov/
[3] https://www.cdc.gov/coronavirus/2019-ncov/if-you-are-sick/steps-when-sick.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/prepare/transmission.html

Top URLs in Tweet in G2:
[2] https://chanworld.org/wp-content/uploads/wpforo/default_attachments/1581810860-447056518-Originsof2019-NCoV-XiaoB-Res.pdf?fbclid=IwAR3FNzLdRobGjwTWgqg5SppB2KLzVa3jLsBrCGuLQ3fmk4-Ri3stHXccQ2g
[1] https://gendai.ismedia.jp/articles/-/71310

Top URLs in Tweet in G3:
[2] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
[2] https://systems.jhu.edu/research/public-health/ncov-model-2/
[2] https://www.youtube.com/watch?v=bPITHEiFWLc&feature=youtu.be

[1] https://apps.who.int/iris/bitstream/handle/10665/331490/WHO-2019-nCoV-MentalHealth-2020.1-eng.pdf
[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf?sfvrsn=20a99c10_4
[1] https://twitter.com/oliverdarcy/status/1242595098208227329
[1] https://twitter.com/OBgynFl/status/1242248354505113601
[1] https://openwho.org/courses/introduccion-al-ncov
[1] https://www.who.int/publications-detail/infection-prevention-and-control-during-health-care-when-novel-coronavirus-(ncov)-infection-is-suspected-20200125
[1] https://www.who.int/publications-detail/disease-commodity-package---novel-coronavirus-(ncov)

Top URLs in Tweet in G4:
[25] https://www.cdc.gov/covid19
[14] https://www.defense.gov/Explore/Spotlight/Coronavirus/
[11] https://www.cdc.gov/coronavirus/2019-ncov/index.html
[10] https://www.cdc.gov/coronavirus/2019-ncov/prepare/prevention.html
[7] https://coronavirus.gov/
[7] https://www.cdc.gov/coronavirus/2019-ncov/hcp/therapeutic-options.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/prepare/managing-stress-anxiety.html
[5] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
[4] https://www.cdc.gov/coronavirus/2019-nCoV/index.html
[3] https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/testing.html

Top URLs in Tweet in G5:
[17] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[3] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-diabetis.pdf
[3] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/stop-covid19-cat/
[3] https://web.gencat.cat/ca/coronavirus
[3] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/acces-centres-sanitaris.pdf
[2] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/animals-companyia.pdf
[2] https://hospital.vallhebron.com/ca/malalties/coronavirus-sars-cov-2
[1] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/material-divulgatiu/
[1] http://canalsalut.gencat.cat/web/.content/_A-Z/C/coronavirus-2019-ncov/material-divulgatiu/coronavirus-pla-medicacio.pdf
[1] http://interior.gencat.cat/ca/arees_dactuacio/proteccio_civil/consells_autoproteccio_emergencia/malalties-transmissibles-emergents-amb-potencial-alt-risc-/certificat-autoresponsable-de-desplacament-en-el-marc-de-lestat-dalarma-per-la-crisi-sanitaria-per-la-covid-19/index.html

Top URLs in Tweet in G7:
[9] http://ncov.mohw.go.kr/tcmBoardView.do?contSeq=353703
[1] http://ncov.mohw.go.kr/bdBoardList_Real.do?brdId=1&brdGubun=11&ncvContSeq=&contSeq=&board_id=&gubun=
[1] https://bit.ly/3bj8xHp

Top URLs in Tweet in G8:
[1] https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/status.html
[1] http://www.bajacalifornia.gob.mx/coronavirus?id=2

Top URLs in Tweet in G9:
[6] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/ciudadania.htm

Top URLs in Tweet in G10:
[31] https://nextstrain.org/ncov
[2] https://nextstrain.org/ncov?f_country=Malaysia&p=full
[2] https://nextstrain.org/ncov?f_division=Li%C3%A8ge
[1] https://nextstrain.org/narratives/ncov/sit-rep/de/2020-03-20
[1] https://nextstrain.org/narratives/ncov/sit-rep/2020-03-20
[1] https://nextstrain.org/ncov?f_country=Hungary&p=grid
[1] https://nextstrain.org/ncov?c=recency&f_division=Washington&p=full
[1] https://nextstrain.org/ncov?f_submitting_lab=GIGA%20Medical%20Genomics
[1] https://nextstrain.org/ncov?fbclid=IwAR3d9YIJDbwfDNm4UV8zkIrCctrbHFi_in_GrsPJh5Oc9_yYIkPg2F2PS84
[1] https://twitter.com/HamadYaseen/status/1242106671222132736

Top Domains
Top Domains in Tweet in Entire Graph:
[348] cdc.gov
[120] twitter.com
[115] nextstrain.org
[85] gob.es
[75] coronavirus.gov
[62] who.int
[60] gencat.cat
[50] interempresas.net
[47] lci.fr
[47] go.jp

Top Domains in Tweet in G1:
[72] twitter.com
[61] cdc.gov
[49] interempresas.net
[17] gov.au
[14] gob.es
[10] who.int
[9] lci.fr
[8] nextstrain.org
[7] vnexpress.net
[6] openwho.org

Top Domains in Tweet in G2:
[2] chanworld.org
[1] ismedia.jp

Top Domains in Tweet in G3:
[15] who.int
[5] twitter.com
[2] jhu.edu
[2] youtube.com
[2] bit.ly
[1] openwho.org
[1] dropbox.com

Top Domains in Tweet in G4:
[113] cdc.gov
[14] defense.gov
[8] coronavirus.gov
[6] bit.ly
[3] who.int
[2] usa.gov
[1] gadoe.org
[1] ngpa.us
[1] radian6.com
[1] floridahealthcovid19.gov

Top Domains in Tweet in G5:
[34] gencat.cat
[2] vallhebron.com
[1] ow.ly
[1] gob.es
[1] bit.ly

Top Domains in Tweet in G7:
[10] go.kr
[1] bit.ly

Top Domains in Tweet in G8:
[1] sandiegocounty.gov
[1] gob.mx

Top Domains in Tweet in G9:
[6] gob.es

Top Domains in Tweet in G10:
[41] nextstrain.org
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[536] covid19
[487] coronavirus
[89] estevirusloparamosunidos
[88] 3월_25일_0시_기준
[84] stopbulos
[83] covidー19
[69] ncov
[59] slowthespread
[57] covid
[52] washyourhands



Top Hashtags in Tweet in G1:
[98] coronavirus
[97] covid19
[19] ncov
[11] covid
[9] covid_19
[6] stayhome
[6] 新型肺炎影響
[6] 百度
[6] 新型冠状病毒
[6] 2019ncov

Top Hashtags in Tweet in G2:
[1] 現代ビジネス

Top Hashtags in Tweet in G3:
[39] covid19
[13] hcw
[9] coronavirus
[4] 2019ncov
[3] knowthefacts
[3] wuhan
[3] china
[3] coronovirus
[2] 2019nc0v
[2] indianrailways

Top Hashtags in Tweet in G4:
[110] covid19
[30] diabetes
[17] socialdistancing
[14] coronavirus
[7] covid
[5] strongeurope
[4] slowthespread
[4] usarmy
[3] stayathome
[2] covid19out

Top Hashtags in Tweet in G5:
[149] coronavirus
[19] diabetis
[7] joactuo
[6] canalsalut
[6] covid19
[4] emquedoacasa
[3] joemquedoacasa
[2] quedatacasa
[2] totaniràbé
[2] joactuoperdonar

Top Hashtags in Tweet in G7:
[88] 3월_25일_0시_기준
[23] 3월_24일_0시_기준
[2] 힘내라_대구경북
[2] 힘내라_대한민국

Top Hashtags in Tweet in G9:
[85] estevirusloparamosunidos
[83] stopbulos
[14] covid
[6] coronavirus
[1] coronavirusesp

Top Hashtags in Tweet in G10:
[19] sarscov2
[18] hcov19
[15] covid19
[10] opendata
[1] covid19be
[1] sequences
[1] genoms
[1] phylogenic
[1] sars_cov_2
[1] southafrica

Top Words
Top Words in Tweet in Entire Graph:
[1955] Words in Sentiment List#1: Positive
[1845] Words in Sentiment List#2: Negative
[21] Words in Sentiment List#3: Angry/Violent
[98469] Non-categorized Words
[102269] Total Words
[2472] ncov
[842] coronavirus
[827] sa
[805] 2019
[557] 19

Top Words in Tweet in G1:
[881] ncov
[326] sa
[197] ng
[178] ko
[166] 2019
[147] 19
[133] coronavirus
[125] covid
[118] ang
[98] #coronavirus

Top Words in Tweet in G2:
[363] gendai_biz
[362] 論文はその後
[362] ほどなくして削除された
[362] そして
[362] 教授らも消息を絶ってしまった
[362] 消された論文
[362] である
[362] possible
[362] origins
[362] 2019

Top Words in Tweet in G3:
[500] human
[264] transmission
[253] evidence
[252] chinese
[251] clear
[249] authorities
[247] found
[245] preliminary
[243] investigations
[243] conducted

Top Words in Tweet in G4:
[201] cdcgov
[110] #covid19
[81] spread
[71] coronavirus
[61] help
[61] disease
[59] people
[54] 19
[53] covid
[53] risk

Top Words in Tweet in G5:
[184] salutcat
[149] #coronavirus
[88] és
[84] persones
[84] amb
[73] els
[65] contenir
[65] vulnerables
[64] centre
[53] sars

Top Words in Tweet in G6:
[176] pag
[176] ako
[176] nag
[176] positive
[176] sa
[176] ncov
[176] nako
[176] lalaban
[175] jolskyut

Top Words in Tweet in G7:
[120] 코로나바이러스감염증
[120] 19
[111] 일상으로
[111] 돌아갈
[111] 수
[111] 있도록
[109] hellopolicy
[88] #3월_25일_0시_기준
[88] 국내발생현황입니다
[88] 고강도

Top Words in Tweet in G8:
[112] california
[111] número
[111] casos
[111] confirmados
[111] coronavirus
[111] 23
[111] marzo
[111] san
[111] diego
[111] 230

Top Words in Tweet in G9:
[98] fuentes
[98] oficiales
[96] guardiacivil
[85] #estevirusloparamosunidos
[84] consulta
[83] paramos
[83] compartes
[83] información
[83] falsa
[83] #stopbulos

Top Words in Tweet in G10:
[65] nextstrain
[43] gisaid
[35] genomes
[34] we've
[28] thanks
[21] updated
[19] #sarscov2
[19] sequences
[18] #hcov19
[17] و

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[691] 2019,ncov
[413] sa,ncov
[373] ncov,coronavirus
[370] possible,origins
[370] origins,2019
[366] 論文はその後,ほどなくして削除された
[366] coronavirus,の日本語訳した全文を掲載する
[364] の日本語訳した全文を掲載する,失踪した中国人研究者の
[363] ほどなくして削除された,そして
[363] そして,教授らも消息を絶ってしまった

Top Word Pairs in Tweet in G1:
[147] 2019,ncov
[119] covid,19
[94] sa,ncov
[78] ng,ncov
[67] coronavirus,2019
[59] #coronavirus,#covid19
[51] nuevo,coronavirus
[49] 19,equipos
[49] equipos,protección
[49] protección,individual

Top Word Pairs in Tweet in G2:
[362] 論文はその後,ほどなくして削除された
[362] ほどなくして削除された,そして
[362] そして,教授らも消息を絶ってしまった
[362] 教授らも消息を絶ってしまった,消された論文
[362] 消された論文,である
[362] である,possible
[362] possible,origins
[362] origins,2019
[362] 2019,ncov
[362] ncov,coronavirus

Top Word Pairs in Tweet in G3:
[251] clear,evidence
[250] evidence,human
[250] human,human
[250] human,transmission
[249] chinese,authorities
[247] authorities,found
[247] found,clear
[243] preliminary,investigations
[243] investigations,conducted
[243] conducted,chinese

Top Word Pairs in Tweet in G4:
[52] covid,19
[41] higher,risk
[40] medical,conditions
[36] yourself,others
[36] coronavirus,disease
[36] disease,2019
[35] spread,#covid19
[33] underlying,medical
[32] people,age
[32] age,serious

Top Word Pairs in Tweet in G5:
[66] #coronavirus,és
[65] contenir,#coronavirus
[65] és,persones
[65] persones,vulnerables
[65] vulnerables,els
[64] salutcat,contenir
[64] els,centre
[53] sars,cov
[45] #coronavirus,sars
[33] només,amb

Top Word Pairs in Tweet in G6:
[176] pag,ako
[176] ako,nag
[176] nag,positive
[176] positive,sa
[176] sa,ncov
[176] ncov,nako
[176] nako,lalaban
[175] jolskyut,pag

Top Word Pairs in Tweet in G7:
[120] 코로나바이러스감염증,19
[111] 일상으로,돌아갈
[111] 돌아갈,수
[111] 수,있도록
[88] #3월_25일_0시_기준,코로나바이러스감염증
[88] 19,국내발생현황입니다
[88] 국내발생현황입니다,고강도
[88] 고강도,사회적
[88] 사회적,거리두기에
[88] 거리두기에,많은

Top Word Pairs in Tweet in G8:
[111] número,casos
[111] casos,confirmados
[111] confirmados,coronavirus
[111] coronavirus,23
[111] 23,marzo
[111] marzo,san
[111] san,diego
[111] diego,california
[111] california,230
[111] 230,tijuana

Top Word Pairs in Tweet in G9:
[98] fuentes,oficiales
[84] consulta,fuentes
[83] #estevirusloparamosunidos,paramos
[83] paramos,compartes
[83] compartes,información
[83] información,falsa
[83] falsa,#stopbulos
[83] #stopbulos,consulta
[83] guardiacivil,#estevirusloparamosunidos
[14] buscas,respuestas

Top Word Pairs in Tweet in G10:
[20] we've,updated
[18] nextstrain,we've
[15] nextstrain,thanks
[14] we've,added
[13] #sarscov2,#hcov19
[12] updated,129
[12] 129,#sarscov2
[12] #hcov19,genomes
[12] genomes,submitted
[12] submitted,gisaid

Top Replied-To
Top Replied-To in Entire Graph:
@2019_ncov_infos
@florencedu31
@claytravis
@whowpro
@bioproblemnet
@risahontiveros
@iamlimvaaan
@binsimarie
@ncov_fighter
@manilabulletin

Top Replied-To in G2:
@gendai_biz

Top Replied-To in G3:
@whowpro
@statedeptspox
@langamahesh

Top Replied-To in G4:
@cdcgov
@docneto
@anncoulter
@prof_tgschulze
@drchrisnicholas
@ncdcgov
@cnnbrk
@amytbaxter1
@abjayhawk
@samorenls

Top Replied-To in G5:
@rosavidalal
@adakleinfortuny
@jordi_canyas
@salutcat

Top Replied-To in G10:
@johannemontay
@nursemaria66

Top Mentioned
Top Mentioned in Entire Graph:
@gendai_biz
@who
@cdcgov
@salutcat
@jolskyut
@ahope71
@hellopolicy
@guardiacivil
@nextstrain
@moodflix

Top Mentioned in G1:
@coronavirush24

Top Mentioned in G2:
@gendai_biz
@km_jetta

Top Mentioned in G3:
@who
@whosearo
@mvankerkhove
@who_europe
@pahowho
@whoemro
@whoafro
@raj_psyc
@peoples_pundit
@whowpro

Top Mentioned in G4:
@cdcgov
@healthyfla
@esperdod
@realdonaldtrump
@potus
@whitehouse
@drdenagrayson
@georgiadeptofed
@usarmyeurope
@usambslm

Top Mentioned in G5:
@salutcat
@gencat
@empresacat
@icsmaresme
@govern
@icscat
@evamurmestre
@emergenciescat
@anticscasp
@bcnvalencia339

Top Mentioned in G6:
@jolskyut

Top Mentioned in G7:
@hellopolicy
@sewoosil

Top Mentioned in G8:
@ahope71

Top Mentioned in G9:
@guardiacivil
@saludpublicaes
@merchedemelilla
@guardiacivil_ab

Top Mentioned in G10:
@nextstrain
@gisaid
@uwvirology
@uw
@giga_uliege
@dasmaninstitute
@fahdalmulla
@kuwait_moh
@katarinambraun
@gagekmoreno

Top Tweeters
Top Tweeters in Entire Graph:
@caraotadigital
@barntiques859
@hjlv2378
@revolution_fr
@algonfdez
@gidi_traffic
@lm700j
@man0403
@abscbnnews
@sikecilmarmut

Top Tweeters in G1:
@algonfdez
@amagipollution
@thalassa2008
@pistach01
@netguide
@jonginsideme
@tsaka1
@tea4freedom
@popoche69008
@punjabupdate

Top Tweeters in G2:
@akechikyne
@yazmatsuki
@yunishio
@ak_reboot
@guriko_
@marinar9801
@ma_mochizuki
@eroba
@heddongibson
@aoi_azuma

Top Tweeters in G3:
@dr_ram_official
@deepika_9595
@nayayoungindia
@madhureshsethi
@kimrenior
@darkom56
@dhfmdathu
@caravanwalking
@savethesedogs
@prettypadmaja

Top Tweeters in G4:
@barntiques859
@gidi_traffic
@richfm39517086
@johnapp63499667
@wadakashiho
@nayasala
@mile_by_mile
@juliesbooks
@youranonriots
@hubbucket

Top Tweeters in G5:
@sasam1714
@clio_deries
@monterhusmore
@nil_cat1
@guatlleta
@newsneus
@miki_gtr
@araramendia
@postveritatum
@no_oblid

Top Tweeters in G6:
@_gwenyf
@_heyitsaby
@youngarren_
@pongkiee
@itsannesthesia
@rukayacdalin07
@msjlnnhrt
@kleinerabrham
@_jlnmrsrn
@rosalessskuwen

Top Tweeters in G7:
@hjlv2378
@man0403
@han1971n
@hbr1144
@kt7794
@greedywhitebear
@alreadypsycho
@mikrokosmos329
@wnckdnlqks
@oasisjo1009

Top Tweeters in G8:
@gerryboy10
@lobo_ifa
@marialuisalg1
@gjsuap
@eide97
@j_jjcazares
@alfonsord
@ceronne
@darth_divano
@m_o_s_t_r_a

Top Tweeters in G9:
@bazinga_kal
@marisaparrilla
@talantepositivo
@antgalan
@merchedemelilla
@amordelia
@ancricri
@chustrece
@danmaniscalco
@raven_stalk

Top Tweeters in G10:
@sandoly
@donaldverger
@yosita0314
@hanaaalkhaled
@rschu
@wilow26
@mbhbox
@marieaaow
@nuvolina22
@5yx