HIV AIDS, Twitter, 1/24/2022 3:29:54 AM, 270519


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HIV AIDS_2022-01-23_18-51-18.xlsx
HIV AIDS_2022-01-23_18-51-18.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
January 24, 2022
Short Description:
HIV AIDS via NodeXL https://bit.ly/3tTz76G
@thelancet
@uct_bmhsl
@aids_conference
@angie_rasmussen
@uniofoxford
@appg_hiv_aids
@andrewlazarus4
@doritmi
@winnie_byanyima
@saldanhavp

Top hashtags:
#hiv
#aids
#nra
#amr
#covid19
#uequalsu
#malaria
#worldaidsday
#性感染症

Description:
Description
The graph represents a network of 8,615 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 January 2022 at 03:01 UTC.

The requested start date was Monday, 24 January 2022 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 3-day, 17-hour, 54-minute period from Monday, 17 January 2022 at 18:12 UTC to Friday, 21 January 2022 at 12:06 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 : 8615
Unique Edges : 4057
Edges With Duplicates : 11740
Total Edges : 15797
Number of Edge Types : 5
Retweet : 5111
MentionsInRetweet : 6061
Replies to : 940
Tweet : 1372
Mentions : 2313
Self-Loops : 1415
Reciprocated Vertex Pair Ratio : 0.0140509645153608
Reciprocated Edge Ratio : 0.0277125410991076
Connected Components : 1523
Single-Vertex Connected Components : 567
Maximum Vertices in a Connected Component : 3024
Maximum Edges in a Connected Component : 6920
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.651925
Graph Density : 0.000114756026881155
Modularity : 0.548078
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,615 Twitter users whose tweets in the requested range contained "HIV AIDS", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 January 2022 at 03:01 UTC.

The requested start date was Monday, 24 January 2022 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 3-day, 17-hour, 54-minute period from Monday, 17 January 2022 at 18:12 UTC to Friday, 21 January 2022 at 12:06 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 : HIV AIDS
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:
[34] https://yourstory.com/socialstory/2020/08/man-ngo-cafe-positive-hiv-aids-children-kolkata/amp
[23] https://www.viral.co.ke/2021/12/i-simply-tolerate-her-i-dont-love-her.html
[15] https://theconversation.com/antimicrobial-resistance-now-causes-more-deaths-than-hiv-aids-and-malaria-worldwide-new-study-175351?utm_source=twitter&utm_medium=bylinetwitterbutton
[15] https://www.edgemedianetwork.com/story.php?ch=news&sc=aids&id=312194&ucla_researchers_come_one_step_closer_to_a_cure_for_aids#
[14] https://www.npr.org/sections/goatsandsoda/2022/01/20/1074373834/why-humans-are-losing-the-race-against-superbugs
[12] http://hiv-kyoto.com/index.html
[12] https://www.theglobeandmail.com/opinion/article-the-hivaids-crisis-showed-us-how-to-equitably-overcome-a-pandemic/?utm_source=dlvr.it&utm_medium=twitter
[12] https://www.pinknews.co.uk/2022/01/15/david-pevsner-hiv-aids-stigma-damn-shame/
[10] https://theconversation.com/antimicrobial-resistance-now-causes-more-deaths-than-hiv-aids-and-malaria-worldwide-new-study-175351
[10] https://www.poz.com/blog/altering-senate-filibuster-affect-hiv-efforts

Top URLs in Tweet in G1:
[3] https://twitter.com/TheLancet/status/1483954294181273605
[3] https://healthpolicy-watch.news/antimicrobial-resistance-to-bacterial-infections-killed-more-people-than-hiv-aids-in-2019-new-lancet-study-shows/
[2] https://www.bbc.com/news/health-60058120
[2] https://www.theguardian.com/society/2022/jan/20/antimicrobial-resistance-antibiotic-resistant-bacterial-infections-deaths-lancet-study
[2] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2821%2902724-0%2Ffulltext&rc=0
[2] https://twitter.com/DrDianeAshiru/status/1484018667285270530
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2822%2900051-4%2Ffulltext%3Futm_campaign%3DWR%26utm_content%3D194554404%26utm_medium%3Dsocial%26utm_source%3Dtwitter%26hss_channel%3Dtw-27013292&rc=0
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2821%2902724-0%2Ffulltext%3Futm_campaign%3Dgbd22%26utm_source%3Dtwitter%26utm_medium%3Dsocial&rc=0
[1] https://socialcare.today/2022/01/21/an-estimated-1-2-million-people-died-in-2019-from-antibiotic-resistant-bacterial-infections/
[1] https://www.youtube.com/watch?v=2KBUMjHbLqw


Top URLs in Tweet in G2:
[12] http://hiv-kyoto.com/index.html
[10] https://www.npr.org/sections/goatsandsoda/2022/01/20/1074373834/why-humans-are-losing-the-race-against-superbugs
[8] https://mttag.com/cc/ADo8XC6_yZY
[6] https://nairobinewsnow.com/2021/08/04/this-men-will-die-of-hiv-aids-ruth-makes-shocking-claims/
[5] https://www.pinknews.co.uk/2022/01/15/david-pevsner-hiv-aids-stigma-damn-shame/
[5] http://alz.org/alzheimers-dementia/treatments/cms-medicare-coverage
[4] https://www.nytimes.com/2022/01/11/health/southern-africa-hiv-aids.html?smid=tw-share
[4] https://www.theglobeandmail.com/opinion/article-the-hivaids-crisis-showed-us-how-to-equitably-overcome-a-pandemic/
[4] https://theconversation.com/antimicrobial-resistance-now-causes-more-deaths-than-hiv-aids-and-malaria-worldwide-new-study-175351
[4] https://support.peta.org/page/36378/action/1

Top URLs in Tweet in G3:
[15] https://www.edgemedianetwork.com/story.php?ch=news&sc=aids&id=312194&ucla_researchers_come_one_step_closer_to_a_cure_for_aids#
[10] https://www.poz.com/blog/altering-senate-filibuster-affect-hiv-efforts
[7] https://www.poz.com/blog/address-lgbtq-policy-agenda-without-addressing-hiv
[6] https://www.poz.com/blog/january-6-attack-define-patriot-hiv-covid-aids-united
[4] https://hiv.conferenceseries.com/
[3] https://twitter.com/charliebach/status/1484243965180366849
[3] https://adap.member365.org/public/login/membership/c03a6d182d1a19d4312e9b81cfc4b2fe2af86dc6
[2] https://eltonjohnaidsfoundation.org/
[2] https://www.aids2022.org/
[2] https://www.thewellproject.org/hiv-information/agirllikeme-2021

Top URLs in Tweet in G4:
[1] https://abiaids.org.br/foaesp-questoes-ideologicas-estao-interferindo-na-prevencao-ist-aids/35361

Top URLs in Tweet in G6:
[1] https://open.spotify.com/episode/26ZQQqlVPX73EJMwA20jlQ
[1] https://www.trtworld.com/life/drug-resistant-infections-cause-millions-of-deaths-globally-53863

Top URLs in Tweet in G7:
[2] https://twitter.com/angie_rasmussen/status/1483227657030541312
[1] https://twitter.com/RMCarpiano/status/1477484956204953604
[1] https://twitter.com/seventiessally/status/1484283964751761408

Top URLs in Tweet in G9:
[1] https://www.fukushihoken.metro.tokyo.lg.jp/tamafuchu/kansen/aids/hiv_kensa/annai.html
[1] https://twitter.com/kakeashi_ashika/status/1482759657383145475

Top URLs in Tweet in G10:
[3] https://news.gallup.com/vault/259643/gallup-vault-fear-anxiety-during-1980s-aids-crisis.aspx
[1] https://www.webmd.com/hiv-aids/news/20050120/uncircumcised-men-may-have-higher-hiv-risks
[1] https://en.wikipedia.org/wiki/List_of_epidemics
[1] https://www.hiv.gov/hiv-basics/overview/about-hiv-and-aids/how-is-hiv-transmitted

Top Domains
Top Domains in Tweet in Entire Graph:
[178] twitter.com
[39] co.uk
[34] yourstory.com
[33] youtube.com
[27] theconversation.com
[27] poz.com
[27] co.ke
[22] theglobeandmail.com
[20] pairsonnalites.org
[20] change.org

Top Domains in Tweet in G1:
[6] twitter.com
[5] elsevierhealth.com
[3] healthpolicy-watch.news
[2] bbc.com
[2] theguardian.com
[1] socialcare.today
[1] youtube.com
[1] ac.uk
[1] ampproject.org
[1] wellcomeevents.org

Top Domains in Tweet in G2:
[72] twitter.com
[13] youtube.com
[12] npr.org
[12] hiv-kyoto.com
[10] pairsonnalites.org
[8] co.uk
[8] google.com
[8] mttag.com
[6] nytimes.com
[6] peta.org

Top Domains in Tweet in G3:
[27] poz.com
[22] twitter.com
[15] edgemedianetwork.com
[6] conferenceseries.com
[5] aids2022.org
[5] wordpress.com
[3] org.uk
[3] hiv.gov
[3] co.uk
[3] member365.org

Top Domains in Tweet in G4:
[1] org.br

Top Domains in Tweet in G6:
[1] spotify.com
[1] trtworld.com

Top Domains in Tweet in G7:
[4] twitter.com

Top Domains in Tweet in G9:
[1] lg.jp
[1] twitter.com

Top Domains in Tweet in G10:
[3] gallup.com
[1] webmd.com
[1] wikipedia.org
[1] hiv.gov

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[495] hiv
[338] aids
[139] nra
[97] amr
[88] covid19
[60] uequalsu
[47] malaria
[46] worldaidsday
[41] 性感染症
[30] aids2022



Top Hashtags in Tweet in G1:
[87] amr
[40] malaria
[39] aids
[34] hiv
[11] grampaper
[9] amrsos
[8] antibioticresistance
[8] antimicrobialresistance
[5] covid19
[3] antibiotikaresistens

Top Hashtags in Tweet in G2:
[104] hiv
[95] aids
[41] 性感染症
[27] hivboshi
[19] エイズ
[10] 後天性免疫不全症候群
[8] エイズ治療薬
[8] hiv治療薬
[8] ラミビル
[8] ラミブジン

Top Hashtags in Tweet in G3:
[152] hiv
[55] uequalsu
[54] aids
[27] covid19
[23] advocacy
[22] aids2022
[18] endaids
[14] breaking
[13] glaadawards
[11] eeca

Top Hashtags in Tweet in G4:
[1] prefeiturabelem
[1] governodanossagente
[1] aids
[1] hiv
[1] hivaids

Top Hashtags in Tweet in G5:
[1] unstoppablebaba

Top Hashtags in Tweet in G7:
[9] covid19
[9] sarscov2

Top Hashtags in Tweet in G8:
[139] nra
[5] letsbuildug
[1] ugmoving4wd

Top Hashtags in Tweet in G9:
[8] hiv
[8] 梅毒

Top Hashtags in Tweet in G10:
[1] boycottmorrisons

Top Words
Top Words in Tweet in Entire Graph:
[5830] hiv
[5375] aids
[2339] people
[2146] more
[1759] resistant
[1720] million
[1691] 2019
[1669] died
[1666] antibiotic
[1593] infections

Top Words in Tweet in G1:
[1209] thelancet
[1206] more
[1204] people
[1203] deaths
[1179] aids
[1178] hiv
[1176] 2019
[1164] resistant
[1162] antibiotic
[1160] bacterial

Top Words in Tweet in G2:
[649] hiv
[615] aids
[104] #hiv
[95] people
[95] #aids
[91] more
[60] covid
[47] malaria
[42] resistant
[41] #性感染症

Top Words in Tweet in G3:
[255] hiv
[152] #hiv
[151] aids
[57] global
[55] #uequalsu
[54] #aids
[49] think
[47] work
[39] living
[38] health

Top Words in Tweet in G4:
[172] vacinação
[171] prefeiturabelem
[159] novo
[158] cta
[158] testagem
[158] aconselhamento
[157] belém
[157] espaço
[155] amplo
[155] laboratório

Top Words in Tweet in G5:
[181] hiv
[181] aids
[174] slim
[174] girls
[174] needed
[174] advertisement
[128] hit
[126] interested
[65] ninjah__ke
[60] dm

Top Words in Tweet in G6:
[168] million
[168] people
[168] died
[168] 2019
[168] resistant
[165] antibiotic
[165] bacterial
[152] study
[151] oxford
[151] co

Top Words in Tweet in G7:
[168] hiv
[93] aids
[82] angie_rasmussen
[76] cells
[72] sars
[69] cov
[66] actually
[65] responded
[65] destroyed
[65] heard

Top Words in Tweet in G8:
[139] book
[139] bits
[139] pieces
[139] hon
[139] livingstone
[139] oo
[139] gunga
[139] battalion
[139] #nra
[139] rebels

Top Words in Tweet in G9:
[80] 薬害エイズの時
[80] hivはhtlvと同じ発症するのは少数
[80] aidsを発症するのは麻薬と不摂生な生活
[80] という説に対しアメリカの学会などから情報を得て治験段階の加熱製剤の入手に奔走し1人でも感染者を出してはならないと手段を尽くした医師達がいました
[79] uwemon
[79] お互い10
[55] hiv抗体陽性はhiv感染を意味しており
[55] 自然治癒はなく
[55] 多くが感染から10年近い潜伏期間ののちにaidsを発症する
[55] という真の病態が判明するまでは

Top Words in Tweet in G10:
[24] aids
[23] hiv
[9] people
[6] reuters
[6] covid
[5] causes
[5] shared_facts
[5] drjoemccarthy
[5] jcdeardeuff
[5] chrisjohnsonmd

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3972] hiv,aids
[1644] million,people
[1626] people,died
[1569] antibiotic,resistant
[1474] resistant,bacterial
[1471] died,2019
[1361] 2019,antibiotic
[1313] bacterial,infections
[1284] more,deaths
[1281] deaths,hiv

Top Word Pairs in Tweet in G1:
[1176] hiv,aids
[1161] antibiotic,resistant
[1160] resistant,bacterial
[1157] million,people
[1155] people,died
[1153] died,2019
[1153] 2019,antibiotic
[1153] bacterial,infections
[1150] more,deaths
[1150] deaths,hiv

Top Word Pairs in Tweet in G2:
[425] hiv,aids
[52] #hiv,#aids
[46] aids,hiv
[37] aids,malaria
[27] antibiotic,resistant
[25] #性感染症,#hivboshi
[21] more,deaths
[21] #aids,#性感染症
[20] antimicrobial,resistance
[19] deaths,hiv

Top Word Pairs in Tweet in G3:
[92] hiv,aids
[44] #hiv,#aids
[28] #aids,#uequalsu
[24] think,hiv
[24] hiv,parent
[24] parent,cant
[24] cant,hiv
[24] hiv,children
[24] children,think
[24] think,again

Top Word Pairs in Tweet in G4:
[158] testagem,aconselhamento
[155] novo,cta
[155] cta,belém
[155] belém,espaço
[155] espaço,amplo
[155] amplo,laboratório
[155] laboratório,consultórios
[155] consultórios,salas
[155] salas,testagem
[155] aconselhamento,vacinação

Top Word Pairs in Tweet in G5:
[181] hiv,aids
[174] slim,girls
[174] girls,needed
[174] needed,hiv
[174] aids,advertisement
[128] advertisement,hit
[66] hit,interested
[65] ninjah__ke,slim
[48] hit,intrested
[47] 21stonney,slim

Top Word Pairs in Tweet in G6:
[168] million,people
[168] people,died
[168] died,2019
[165] 2019,antibiotic
[165] antibiotic,resistant
[165] resistant,bacterial
[151] study,oxford
[151] oxford,co
[151] co,authored
[151] authored,paper

Top Word Pairs in Tweet in G7:
[69] sars,cov
[65] responded,actually
[65] actually,cells
[65] cells,destroyed
[65] destroyed,sars
[65] cov,hiv
[65] hiv,heard
[64] angie_rasmussen,responded
[28] hiv,aids
[25] hiv,causes

Top Word Pairs in Tweet in G8:
[139] book,bits
[139] bits,pieces
[139] pieces,hon
[139] hon,livingstone
[139] livingstone,oo
[139] oo,gunga
[139] gunga,battalion
[139] battalion,#nra
[139] #nra,rebels
[139] rebels,whose

Top Word Pairs in Tweet in G9:
[80] 薬害エイズの時,hivはhtlvと同じ発症するのは少数
[80] hivはhtlvと同じ発症するのは少数,aidsを発症するのは麻薬と不摂生な生活
[80] aidsを発症するのは麻薬と不摂生な生活,という説に対しアメリカの学会などから情報を得て治験段階の加熱製剤の入手に奔走し1人でも感染者を出してはならないと手段を尽くした医師達がいました
[79] uwemon,薬害エイズの時
[79] という説に対しアメリカの学会などから情報を得て治験段階の加熱製剤の入手に奔走し1人でも感染者を出してはならないと手段を尽くした医師達がいました,お互い10
[55] hiv抗体陽性はhiv感染を意味しており,自然治癒はなく
[55] 自然治癒はなく,多くが感染から10年近い潜伏期間ののちにaidsを発症する
[55] 多くが感染から10年近い潜伏期間ののちにaidsを発症する,という真の病態が判明するまでは
[55] という真の病態が判明するまでは,かなり長い時間がかかっています
[54] influenzer3,hiv抗体陽性はhiv感染を意味しており

Top Word Pairs in Tweet in G10:
[10] hiv,aids
[6] people,hiv
[5] causes,aids
[5] rw_christian,marshakimball9
[5] oceanatemyphone,groin_hammer
[4] against,people
[4] hiv,causes
[4] mrobovsky,skepticsplinter
[4] skepticsplinter,jt375043170
[3] mitongafur,born

Top Replied-To
Top Replied-To in Entire Graph:
@atomjones
@danaparish
@bamoore
@dprince282
@reonexel
@flanbites
@oktaf55973030
@lutzfernandez
@tw_wolfgang
@hjelle_brian

Top Replied-To in G3:
@appg_hiv_aids
@sdoughtymp
@yusufhassanw
@saldanhavp
@lgawellbeing
@charliebach
@br999
@rleigh829
@sajidjavid
@life_disrupted

Top Replied-To in G4:
@kevinguedes
@wbarreiros_

Top Replied-To in G5:
@mimomakena
@ymuredhi
@mrrongke1

Top Replied-To in G7:
@flanbites
@hjelle_brian
@alexgaggio
@angie_rasmussen
@amythist502
@_justice4always
@doneford
@melpomenemel
@seventiessally
@oi_tillymint

Top Replied-To in G8:
@janeruth_aceng

Top Replied-To in G10:
@thecrystalbrian
@xmasrights
@sebastian_multi
@oneunusualcat
@mitongafur
@talcumxxl
@plato1867
@mcfunny
@tierrahenson
@bluelionblog

Top Mentioned
Top Mentioned in Entire Graph:
@thelancet
@prefeiturabelem
@uniofoxford
@machinemakproj1
@kagut
@newscientist
@angie_rasmussen
@uwemon
@patrickstrud
@ajplus

Top Mentioned in G1:
@thelancet
@drdianeashiru
@gardp_amr
@tapfumamashe
@uniofoxford
@microbesinfect
@flemingfund
@ihme_uw
@taslimarif
@rafiarajput

Top Mentioned in G2:
@nairobinewsnow
@royal_time
@bscaresca
@habiba_zuntu
@gastroclinix
@sixandlaura
@gad_rogers
@celebratinggran
@stigmabaseo
@a_hungry_fool

Top Mentioned in G3:
@unaids
@rderrazi
@aids_conference
@winnie_byanyima
@todayshow
@aids_united
@appg_hiv_aids
@pepfar
@glaad
@britishhivassoc

Top Mentioned in G4:
@prefeiturabelem
@motagabrielll
@abiaids
@ramonrpr

Top Mentioned in G5:
@ninjah__ke
@21stonney
@mrrongke1
@firstmorogo
@rosemumbuad
@amosboiwokip
@mimomakena

Top Mentioned in G6:
@uniofoxford
@thelancet
@jamiereilly_cog
@templessw
@templecph
@latin
@trtworld
@latinoactivist

Top Mentioned in G7:
@angie_rasmussen
@kallmemeg
@hjelle_brian
@wanderer_jasnah
@infinitywaltz
@thelancet
@ballouxfrancois
@moonlightsiesta
@swflturtle
@thotmystic

Top Mentioned in G8:
@machinemakproj1
@kagut
@janeruth_aceng
@kagutamuseveni
@cheptengc
@belindaqini
@michellemukasa

Top Mentioned in G9:
@uwemon
@influenzer3
@tocho_fukuho

Top Mentioned in G10:
@reuters
@shared_facts
@drjoemccarthy
@jcdeardeuff
@chrisjohnsonmd
@thatsnotmine125
@ghoppe
@sassygirld1
@kathmarval
@chris_f_carson

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@jornalistavitor
@kompascom
@detikcom
@berkleybearnews
@jurylady5
@stigmabaseo
@newsoneplace
@matiere
@mattmurph24

Top Tweeters in G1:
@littlebytesnews
@cwharlow
@_runa214
@ohtsune2nd
@npazderski
@steph80335
@monasmitte
@sosninosename1
@armandovuelo
@rectaprovincia

Top Tweeters in G2:
@berkleybearnews
@stigmabaseo
@newsoneplace
@matiere
@stigmabasee
@sindonews
@foggybottomgal
@jawapos
@stigmabase
@dev_discourse

Top Tweeters in G3:
@trigorosa
@shift_in2_turbo
@monitor_ph
@bot_freddie
@francismaudeadv
@robinhadley1
@todayshow
@les_the_great
@patvel18
@twerkeisha

Top Tweeters in G4:
@nevesnetoh
@xkareo
@prettyinsick
@cannotstayaway
@ninguem
@lucasryaan
@acao32
@1smaelsouza
@alexandreveloz
@tantotupiassu

Top Tweeters in G5:
@goddy422
@_kenwells
@d_phennal
@mu__nga
@nakuruicon
@its_annastacia
@mkhwe254
@moseakerley
@greatness_tupu
@jaykiluu

Top Tweeters in G6:
@lilygabet
@gwinniejones
@andreww66619812
@cheja
@chrisgroomb
@lyn_va
@supereader
@altanalim
@hemaloart
@michaelbertakis

Top Tweeters in G7:
@n7irl
@chartoc
@cindycrum
@garthgodsman
@mig30m6
@4evrstardancer
@moniquedhooghe
@ladykitchenless
@izzoedo
@clancynewyork

Top Tweeters in G8:
@oye440
@martin_ez_gh
@zandilisous
@stella1n
@cathynaks
@brianmoore_19
@lilithra_ii
@daverints_lfc
@dhaboy01
@sakastweet

Top Tweeters in G9:
@citrus_kyoto
@cao58020
@hiruandon89
@y_mat2009
@bb45_colorado
@otakutokkai
@yunishio
@okugee
@fearless_taisho
@ribrib010

Top Tweeters in G10:
@reuters
@eddarrell
@adevotedyogi
@doritmi
@_mamadeb
@beckyjohnson222
@monstercoyliar
@takethatct
@wjack76995
@jsaholmes