HIV AIDS, Twitter, 10/25/2021 2:24:54 AM, 264671


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HIV AIDS_2021-10-24_18-51-18.xlsx
HIV AIDS_2021-10-24_18-51-18.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 25, 2021
Short Description:
HIV AIDS via NodeXL https://bit.ly/30ReATv
@updatechartuc
@bcpolitica
@thomasvconti
@manueladavila
@mauriliopasqui2
@padilhando
@reporterenato
@nataliapiresv
@lari_fielantifa
@reumalho

Top hashtags:
#hiv
#aids
#nairobihealthcare
#covid19
#breaking
#性感染症
#hivboshi

Description:
Description
The graph represents a network of 8,199 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, 25 October 2021 at 01:59 UTC.

The requested start date was Monday, 25 October 2021 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 3-day, 19-hour, 19-minute period from Wednesday, 20 October 2021 at 16:50 UTC to Sunday, 24 October 2021 at 12:09 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 : 8199
Unique Edges : 3897
Edges With Duplicates : 12103
Total Edges : 16000
Number of Edge Types : 5
Retweet : 5455
MentionsInRetweet : 6628
Replies to : 817
Mentions : 1899
Tweet : 1201
Self-Loops : 1259
Reciprocated Vertex Pair Ratio : 0.0157826035362525
Reciprocated Edge Ratio : 0.0310747663551402
Connected Components : 1353
Single-Vertex Connected Components : 567
Maximum Vertices in a Connected Component : 2369
Maximum Edges in a Connected Component : 5185
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.012287
Graph Density : 0.000127351763811515
Modularity : 0.537585
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,199 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, 25 October 2021 at 01:59 UTC.

The requested start date was Monday, 25 October 2021 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 3-day, 19-hour, 19-minute period from Wednesday, 20 October 2021 at 16:50 UTC to Sunday, 24 October 2021 at 12:09 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:
[31] https://act.one.org/sign/2021-aids-pledge/
[18] https://www.thenationalnews.com/coronavirus/2021/10/21/covid-19-has-killed-more-people-in-the-us-than-hivaids-did-in-40-years/
[18] https://twitter.com/mister_ade5/status/1450495780222128128
[16] https://www.weforum.org/agenda/2021/05/why-is-it-so-much-harder-to-develop-a-hiv-aids-vaccine-than-a-covid-19-vaccine/?utm_source=twitter&utm_medium=social_video&utm_term=1_1&utm_content=23564_Moderna_human_trials_HIV_vaccine&utm_campaign=social_video_2021
[16] https://www.pinknews.co.uk/2021/10/21/hiv-mental-health-national-aids-trust/
[11] https://www.poz.com/article/lil-nas-x-visits-black-hiv-groups-raises-100k-southern-aids-efforts
[10] https://www.pinknews.co.uk/2021/10/19/boris-johnson-hiv-aids-difference-vaccine/
[8] https://www.civilianintelligencenetwork.ca/2021/10/07/science-confirms-mrna-vaccine-causes-hiv-dependent-aids/
[5] https://twitter.com/meganmcglover/status/1450644657587765254
[4] https://twitter.com/i/events/1451131136231436292

Top URLs in Tweet in G3:
[27] https://act.one.org/sign/2021-aids-pledge/
[15] https://twitter.com/mister_ade5/status/1450495780222128128
[4] https://twitter.com/meganmcglover/status/1450644657587765254
[3] https://www.civilianintelligencenetwork.ca/2021/10/07/science-confirms-mrna-vaccine-causes-hiv-dependent-aids/
[2] https://twitter.com/YouGov/status/1450843236474494977
[2] https://www.globaldiasporanews.com/vol-2-no-4-hiv-surveillance-data-tables-reports-resource-library-hiv-aids/
[2] https://twitter.com/yougov/status/1450843236474494977
[2] https://www.youtube.com/watch?v=URZnyBFSyeQ&feature=youtu.be

[2] https://www.tanea.gr/2021/10/21/world/vretania-o-mporis-tzonson-mperdepse-ksana-hiv-kai-aids/
[2] https://twitter.com/i/events/1451131136231436292

Top URLs in Tweet in G6:
[16] https://www.pinknews.co.uk/2021/10/21/hiv-mental-health-national-aids-trust/
[10] https://www.pinknews.co.uk/2021/10/19/boris-johnson-hiv-aids-difference-vaccine/
[2] https://www.tht.org.uk/hiv-and-sexual-health/about-hiv
[1] https://www.eventbrite.co.uk/e/the-big-world-aids-day-quiz-2021-tickets-181061268127
[1] https://parliamentlive.tv/event/index/5f5e8ab6-630d-467e-a62b-f833e1790a47?in=14:48:13
[1] https://twitter.com/alan_ha11/status/1450974498426171396
[1] https://www.mentalhealthtoday.co.uk/news/therapy/mental-health-services-are-failing-to-support-people-living-with-hiv-what-should-they-do
[1] https://www.nat.org.uk/donate
[1] https://twitter.com/nat_aids_trust/status/1451551961816391683
[1] https://www.poz.com/article/lil-nas-x-visits-black-hiv-groups-raises-100k-southern-aids-efforts

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[449] hiv
[236] aids
[70] nairobihealthcare
[63] covid19
[62] breaking
[41] 性感染症
[37] hivboshi
[33] onecampaign
[33] endaids
[33] bcpoli



Top Hashtags in Tweet in G3:
[74] hiv
[58] aids
[29] onecampaign
[29] endaids
[10] covid19
[8] エイズ
[6] us
[5] aidsawareness
[4] vih
[4] std

Top Hashtags in Tweet in G6:
[106] hiv
[29] aids
[16] 40yearsofhiv
[14] sdgs
[14] uequalsu
[13] 0hivby30
[13] women
[12] fasttrackcities
[12] gender
[12] equity

Top Hashtags in Tweet in G9:
[2] doutormaravilha
[2] wonderdoctor
[2] hiv
[2] aids
[1] vacinasnaocausamaids
[1] bolsonarogenocida
[1] forabolsonaro
[1] infectologista
[1] ists
[1] prephiv

Top Hashtags in Tweet in G10:
[1] forabolsonaro

Top Words
Top Words in Tweet in Entire Graph:
[4702] hiv
[4326] aids
[1742] bolsonaro
[1576] completamente
[1344] em
[1319] pessoas
[1280] live
[1253] jair
[1219] covid
[928] absurdo

Top Words in Tweet in G1:
[1516] completamente
[760] updatechartuc
[759] bolsonaro
[759] em
[758] jair
[758] perde
[758] senso
[758] absurdo
[758] diz
[758] sua

Top Words in Tweet in G2:
[502] contra
[396] vacina
[382] ao
[380] doses
[378] pessoas
[376] em
[368] covid
[366] vídeo
[365] descemos
[365] nível

Top Words in Tweet in G3:
[640] hiv
[612] aids
[92] covid
[83] people
[74] #hiv
[60] 19
[58] #aids
[53] more
[48] treatment
[45] still

Top Words in Tweet in G4:
[449] bolsonaro
[437] jair
[437] live
[435] news
[433] mais
[431] fake
[431] quem
[427] bcpolitica
[427] cachorro
[427] canalha

Top Words in Tweet in G5:
[370] เพ
[370] งด
[370] เร
[370] องน
[370] จบ
[370] จะเข
[370] าใจเลยว
[370] า
[370] anthony
[370] fauci

Top Words in Tweet in G6:
[309] hiv
[146] people
[108] aids
[106] #hiv
[88] health
[87] appg_hiv_aids
[74] nat_aids_trust
[73] mental
[69] response
[68] need

Top Words in Tweet in G7:
[189] bolsonaro
[185] contra
[180] cometer
[180] humanidade
[179] manueladavila
[178] nojento
[178] acusado
[178] crimes
[178] segue
[178] seu

Top Words in Tweet in G8:
[183] hiv
[165] aids
[91] status
[85] check
[73] kwasinawil
[29] find
[29] woman
[29] faithful
[29] one
[29] ll

Top Words in Tweet in G9:
[226] aids
[176] causa
[121] vacina
[119] não
[110] doutormaravilha
[92] preconceito
[88] jairbolsonaro
[87] desigualdade
[87] estigma
[87] perpetuando

Top Words in Tweet in G10:
[138] aids
[137] hiv
[136] ao
[132] mais
[130] bolsonaro
[128] fakenews
[127] vacina
[123] absurdo
[123] dispara
[123] uma

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[2619] hiv,aids
[1236] jair,bolsonaro
[786] diz,em
[785] bolsonaro,perde
[785] perde,completamente
[785] pessoas,completamente
[784] completamente,senso
[784] senso,absurdo
[784] absurdo,diz
[784] em,sua

Top Word Pairs in Tweet in G1:
[758] jair,bolsonaro
[758] bolsonaro,perde
[758] perde,completamente
[758] completamente,senso
[758] senso,absurdo
[758] absurdo,diz
[758] diz,em
[758] em,sua
[758] sua,tradicional
[758] tradicional,live

Top Word Pairs in Tweet in G2:
[380] doses,vacina
[365] descemos,ao
[365] ao,nível
[365] nível,presidente
[365] presidente,mentir
[365] mentir,em
[365] em,vídeo
[365] vídeo,pessoas
[365] pessoas,vacinadas
[365] vacinadas,doses

Top Word Pairs in Tweet in G3:
[398] hiv,aids
[60] covid,19
[42] aids,hiv
[33] aids,still
[31] still,crisis
[31] crisis,covid
[31] 19,pandemic
[31] pandemic,threatens
[31] threatens,decades
[31] decades,progress

Top Word Pairs in Tweet in G4:
[437] jair,bolsonaro
[431] fake,news
[427] cachorro,canalha
[427] canalha,vagabundo
[427] vagabundo,jair
[427] bolsonaro,faz
[427] faz,live
[427] live,fazendo
[427] fazendo,fake
[427] news,mais

Top Word Pairs in Tweet in G5:
[370] เพ,งด
[370] งด,เร
[370] เร,องน
[370] องน,จบ
[370] จบ,จะเข
[370] จะเข,าใจเลยว
[370] าใจเลยว,า
[370] า,anthony
[370] anthony,fauci
[370] fauci,โคตรเก

Top Word Pairs in Tweet in G6:
[68] mental,health
[52] hiv,response
[50] young,people
[47] hiv,aids
[43] iapac,yplus_global
[42] need,make
[42] make,sure
[42] sure,young
[42] people,safe
[42] safe,respected

Top Word Pairs in Tweet in G7:
[180] contra,humanidade
[178] nojento,acusado
[178] acusado,cometer
[178] cometer,crimes
[178] crimes,contra
[178] humanidade,bolsonaro
[178] bolsonaro,segue
[178] segue,seu
[178] seu,projeto
[178] projeto,morte

Top Word Pairs in Tweet in G8:
[131] hiv,aids
[88] aids,status
[85] check,hiv
[70] kwasinawil,check
[29] find,woman
[29] woman,faithful
[29] faithful,hiv
[29] aids,one
[29] one,ll
[29] ll,stay

Top Word Pairs in Tweet in G9:
[175] causa,aids
[87] vacina,não
[87] não,causa
[87] aids,jairbolsonaro
[87] jairbolsonaro,causa
[87] aids,desigualdade
[87] desigualdade,preconceito
[87] preconceito,estigma
[87] estigma,perpetuando
[86] doutormaravilha,vacina

Top Word Pairs in Tweet in G10:
[123] absurdo,bolsonaro
[123] bolsonaro,dispara
[123] dispara,mais
[123] mais,uma
[123] uma,fakenews
[123] fakenews,associando
[123] associando,vacina
[123] vacina,aids
[123] aids,coordenador
[123] coordenador,frente

Top Replied-To
Top Replied-To in Entire Graph:
@mister_ade5
@tubirfess
@appg_hiv_aids
@r_h_ebright
@lavern_spicer
@dzumasambudla
@sarathatcherca
@monroepuzzle
@time
@hereandnow54321

Top Replied-To in G1:
@updatechartuc

Top Replied-To in G3:

Top Replied-To in G4:
@bcpolitica

Top Replied-To in G6:
@appg_hiv_aids
@spanishfiona
@thtorguk
@ceopositivelife
@lizbarkerlords
@susancolehaley
@sekhon_p
@unaids
@hendrikstreeck
@aidsmap

Top Replied-To in G7:
@manueladavila

Top Replied-To in G8:
@awudxi
@mosesalabore
@kwesi_hyde
@kwasinawil

Top Replied-To in G9:
@toshiokwnji
@bdam_vfx
@taschnernatalia
@dadourado
@monicawaldvogel
@willgomes
@pprado2003
@fatahabhukha
@mrciavargas20
@marlene2_

Top Mentioned
Top Mentioned in Entire Graph:
@updatechartuc
@bcpolitica
@thomasvconti
@manopsi
@manueladavila
@reporterenato
@padilhando
@nataliapiresv
@doutormaravilha
@reumalho

Top Mentioned in G1:
@updatechartuc

Top Mentioned in G2:
@thomasvconti
@reporterenato
@nataliapiresv
@doutorpandego
@updatechartuc
@bcpolitica
@padilhando
@manueladavila
@reumalho
@camarotedacpi

Top Mentioned in G3:
@pairsonnalitesn
@celebratinggran
@k_wusujnr
@snktupperwarev1
@all_sudanese
@himmoderator
@bosguyinatl
@sightmagazine
@johnstofko5
@pairsonnalitese

Top Mentioned in G4:
@bcpolitica
@updatechartuc
@thomasvconti
@benjaminfogel
@nailahnv
@camargo_jobson
@reporterenato

Top Mentioned in G5:
@manopsi

Top Mentioned in G6:
@appg_hiv_aids
@nat_aids_trust
@iapac
@susancolehaley
@titirufu
@br999
@yplus_global
@pinknews
@unicef_
@spanishfiona

Top Mentioned in G7:
@manueladavila
@bcpolitica
@thomasvconti
@updatechartuc
@julianapt
@jairbolsonaro
@alexandre

Top Mentioned in G8:
@kwasinawil
@koboateng
@officialsilasmd
@kwakurafiki2
@ndeme_sung
@iamnotime
@kuame_oliver
@senior_man_guda
@kyereme_nana
@efiaodo1

Top Mentioned in G9:
@doutormaravilha
@jairbolsonaro
@correio
@bcpolitica
@dadourado
@jornaloglobo
@reumalho
@updatechartuc
@padilhando
@manueladavila

Top Mentioned in G10:
@padilhando
@niltotatto
@manueladavila
@reporterenato
@henriquefontana
@thomasvconti
@doutormaravilha
@jairbolsonaro

Top Tweeters
Top Tweeters in Entire Graph:
@tomthunkitsmind
@pairsonnalites
@pairsonnalitesu
@allthenewsisnow
@world_news_eng
@robre62
@waka__chang
@tadeu_alves
@collegemenfess
@independent

Top Tweeters in G1:
@familyofangels_
@itsalvatoregirl
@imsomina
@yasminbfaria1
@selenatoxica
@velcreiro
@mono_asatreides
@rafaeladigues
@chunghaction
@wetheboyyz

Top Tweeters in G2:
@marialcab
@fernandocesar77
@sonia_divinaa
@blogdopepe
@carbonarios
@zito2020
@liazeda
@umbrios
@leelaaddams
@gladyscastanho

Top Tweeters in G3:
@pairsonnalites
@pairsonnalitesu
@allthenewsisnow
@collegemenfess
@pairsonnalitese
@tempodotco
@beritasatu
@pairsonnalitesn
@hagiwararyu11
@tribunnews

Top Tweeters in G4:
@tadeu_alves
@robertagbetty
@fabiano_30
@soraiaserrao
@zalache
@mirandaeverton
@originalsdoll
@sweetmilkcl
@onlynahh
@bbbaderna_

Top Tweeters in G5:
@wmelon0319
@paradizekizz
@lucreazia
@junenuad
@danitzaa
@purrrfect_zz
@psycheportz_
@rei6023
@lyrlyra09
@fairinannally

Top Tweeters in G6:
@skynews
@bernardmceldown
@nlygo
@foxmental_x
@karryjay
@mtlseb
@pinknews
@gaysayhello
@garethlshelton
@david_t_evans

Top Tweeters in G7:
@tarlouze
@silvrib
@jgzzzo
@rogerio_sinesio
@rafaelalvesilva
@lolaescreva
@opedeuta
@candiacrf
@mulhergorila
@eltailao

Top Tweeters in G8:
@okwasiabinti
@i_am_winter
@kwasinawil
@quame_age
@broken_heart490
@kobbykatalyst1
@kvng_baff
@wezzy_wiz
@husslekwasi
@martial_otis

Top Tweeters in G9:
@jornaloglobo
@correio
@patgameiro_
@lacralevybsb
@o_antagonista
@malu________
@lussca
@raldido
@daciofarma
@edercast

Top Tweeters in G10:
@arte_prima
@sandra_miria
@moyennea
@adsump
@heldeni3rios
@genario_azevedo
@marciav2015
@br_green_heart
@geraldoazevedof
@gaylulista13