HIV AIDS, Twitter, 10/26/2020 2:34:02 AM, 238789


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HIV AIDS_2020-10-25_18-03-10.xlsx
HIV AIDS_2020-10-25_18-03-10.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 26, 2020
Short Description:
HIV AIDS via NodeXL https://bit.ly/37G6gHz
@aids_united
@cdcgov
@realdonaldtrump
@unaids
@lifecoachfuture
@drenowawah
@feathersmcgee
@aidsfonds_intl
@sciencecohen
@joebiden

Top hashtags:
#hiv
#aids
#covid19
#trump
#性感染症
#amyconeybarrett
#obamacare
#2020uscha

Description:
Description
The graph represents a network of 9,396 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, 26 October 2020 at 01:12 UTC.

The requested start date was Monday, 26 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 5-day, 3-hour, 3-minute period from Tuesday, 20 October 2020 at 09:26 UTC to Sunday, 25 October 2020 at 12:29 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 : 9396
Unique Edges : 5387
Edges With Duplicates : 10120
Total Edges : 15507
Number of Edge Types : 5
Replies to : 1317
Mentions : 2812
Retweet : 4391
MentionsInRetweet : 5388
Tweet : 1599
Self-Loops : 1662
Reciprocated Vertex Pair Ratio : 0.016
Reciprocated Edge Ratio : 0.031496062992126
Connected Components : 1975
Single-Vertex Connected Components : 701
Maximum Vertices in a Connected Component : 1225
Maximum Edges in a Connected Component : 3023
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.514118
Graph Density : 0.000100707535574455
Modularity : 0.593843
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,396 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, 26 October 2020 at 01:12 UTC.

The requested start date was Monday, 26 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 5-day, 3-hour, 3-minute period from Tuesday, 20 October 2020 at 09:26 UTC to Sunday, 25 October 2020 at 12:29 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:
[29] https://www.sciencemag.org/news/2020/10/could-certain-covid-19-vaccines-leave-people-more-vulnerable-aids-virus
[23] https://bhekisisa.org/health-news-south-africa/2020-10-20-heading-off-track-how-covid-19-could-further-derail-countries-from-ending-aids-by-2030/
[19] https://www.thecable.ng/usaid-grants-nigeria-136-5m-to-combat-hiv-aids-human-trafficking/amp
[17] https://dailyentertainment.me/health/signs-aids
[15] https://aidsfonds.org/fundingkeypopulations
[14] https://aidsfonds.org/news/new-study-funding-for-key-populations-affected-by-hiv-and-aids-way-off-track
[14] https://www.theguardian.com/world/audio/2020/oct/20/covid-19-what-can-we-learn-from-hiv-aids-pandemic-podcast?utm_term=Autofeed&CMP=twt_gu&utm_medium&utm_source=Twitter#Echobox=1603192160
[12] https://www.theguardian.com/world/audio/2020/oct/20/covid-19-what-can-we-learn-from-hiv-aids-pandemic-podcast?CMP=share_btn_tw
[12] https://www.rfi.fr/en/africa/20201021-kenya-uganda-sex-workers-mssing-funds-aids-hiv-lgbti
[10] https://www.theguardian.com/world/audio/2020/oct/20/covid-19-what-can-we-learn-from-hiv-aids-pandemic-podcast

Top URLs in Tweet in G1:
[13] https://www.sciencemag.org/news/2020/10/could-certain-covid-19-vaccines-leave-people-more-vulnerable-aids-virus
[7] https://lenterakristiani.com/konsultasi-antaragama-di-asia-dalam-memperkuat-advokasi-hiv-dan-aids/?utm_source=ReviveOldPost&utm_medium=social&utm_campaign=ReviveOldPost
[4] https://www.tiicann.org/signup_listserv.php
[4] http://fabricioviana.com/entenda-qual-diferenca-hiv-aids-cd4-cargaviral-indetectavel-intransmissivel-saudepublica/
[3] https://www.theguardian.com/world/audio/2020/oct/20/covid-19-what-can-we-learn-from-hiv-aids-pandemic-podcast?CMP=share_btn_tw
[3] https://www.reuters.com/article/us-world-lgbt-aids-trfn-idUSKBN2751LY
[3] https://www.bestmbbsmd.com/
[3] https://www.theguardian.com/society/2020/oct/23/trump-obamacare-aca-fauci-plan-hiv-supreme-court-amy-coney-barrett
[3] https://bit.ly/2XM8nV
[3] https://www.faz.net/aktuell/gesellschaft/gesundheit/coronavirus/un-aids-direktorin-byanyima-wir-muessen-mutig-vorangehen-17016924.html

Top URLs in Tweet in G2:
[6] https://www.sciencemag.org/news/2020/10/could-certain-covid-19-vaccines-leave-people-more-vulnerable-aids-virus
[3] https://exame.com/ciencia/algumas-vacinas-contra-a-covid-19-podem-aumentar-o-risco-de-hiv/
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flancet%2Farticle%2FPIIS0140-6736%2820%2932156-5%2Ffulltext&rc=0
[2] https://twitter.com/fabioteles007/status/1318955774312370179?s=20
[1] https://saude.abril.com.br/medicina/vacina-contra-hiv-fracassou-nos-testes/
[1] https://forbes.com.br/colunas/2020/10/pesquisadores-alertam-que-algumas-vacinas-contra-a-covid-19-podem-aumentar-o-risco-de-infeccao-por-hiv/amp/

Top URLs in Tweet in G3:
[1] https://twitter.com/AdamBlickstein/status/1320203205582770177

Top URLs in Tweet in G4:
[14] https://aidsfonds.org/fundingkeypopulations
[10] https://www.poz.com/article/us-conference-hivaids-happening-right-now
[9] https://aidsfonds.org/news/new-study-funding-for-key-populations-affected-by-hiv-and-aids-way-off-track
[8] https://www.poz.com/blog/hiv-groups-demand-supreme-court-confirmation-inauguration
[8] https://www.rfi.fr/en/africa/20201021-kenya-uganda-sex-workers-mssing-funds-aids-hiv-lgbti
[4] https://www.aidsunited.org/data/files/Site_18/Resources/AIDS%20United%20HIV%20and%20Aging%20Policy_ES_Final.pdf
[4] https://www.poz.com/basics/hiv-basics/newly-diagnosed
[3] https://www.yplusglobal.org/events.html
[3] https://www.politico.eu/article/the-hiv-fight-is-growing-old/
[2] https://www.politico.com/news/2020/10/20/white-house-cuts-city-funds-coronavirus-430498

Top URLs in Tweet in G5:
[2] https://archive.is/mpxyu
[1] https://twitter.com/KrutikaKuppalli/status/1319976401601241089
[1] https://www.avert.org/professionals/hiv-around-world/western-central-europe-north-america/uk

Top URLs in Tweet in G6:
[1] https://twitter.com/HealthAngel999/status/1320303386697388033
[1] https://www.thedailybeast.com/americans-should-brace-for-100000-new-covid-cases-a-day-experts-say
[1] https://www.youtube.com/watch?v=8PBZMSte2cU&feature=youtu.be

[1] https://twitter.com/senkamalaharris/status/1320159433931063301
[1] https://twitter.com/joebiden/status/1320041360771051522
[1] https://twitter.com/realDonaldTrump/status/1320162252868255745
[1] https://twitter.com/cbsnews/status/1320178136735240200
[1] https://www.theguardian.com/society/2020/oct/23/trump-obamacare-aca-fauci-plan-hiv-supreme-court-amy-coney-barrett
[1] https://www.cbsnews.com/news/fauci-covid-cases-increase-latest-60-minutes-2020-10-18/?ftag=CNM-00-10aab7d&linkId=102284644
[1] https://cbsn.ws/34Kqgpu

Top URLs in Tweet in G7:
[2] https://www.sciencemag.org/news/2020/10/could-certain-covid-19-vaccines-leave-people-more-vulnerable-aids-virus
[2] https://www.sciencemag.org/news/2020/10/could-certain-covid-19-vaccines-leave-people-more-vulnerable-aids-virus?utm_campaign=NewsfromScience&utm_source=Contractor&utm_medium=Twitter
[1] https://www.cdc.gov/hiv/policies/law/states/exposure.html
[1] https://www.usatoday.com/story/sports/nba/2020/04/10/magic-johnson-compares-coronavirus-hiv-aids-misconceptions-black-impact/5128687002/
[1] https://twitter.com/judgeamybarrett/status/1312792276775702530
[1] https://dy.si/57dQK
[1] https://dy.si/ubq81Q2
[1] https://dy.si/BNLAH
[1] https://dy.si/nX9z
[1] https://dy.si/VMSH8

Top URLs in Tweet in G9:
[2] https://twitter.com/iNtokazi_P/status/1258324484014161920

Top URLs in Tweet in G10:
[1] https://twitter.com/Mrs_M_Coulter/status/1319493291079954432

Top Domains
Top Domains in Tweet in Entire Graph:
[248] twitter.com
[64] youtube.com
[51] theguardian.com
[38] google.com
[34] sciencemag.org
[31] aidsfonds.org
[27] poz.com
[26] bhekisisa.org
[19] thecable.ng
[17] dailyentertainment.me

Top Domains in Tweet in G1:
[100] twitter.com
[22] google.com
[15] youtube.com
[13] sciencemag.org
[11] theguardian.com
[8] datingforpositivesingles.com
[7] facebook.com
[7] lenterakristiani.com
[6] co.uk
[6] reuters.com

Top Domains in Tweet in G2:
[6] sciencemag.org
[3] exame.com
[3] elsevierhealth.com
[2] twitter.com
[2] com.br

Top Domains in Tweet in G3:
[1] twitter.com

Top Domains in Tweet in G4:
[27] poz.com
[23] aidsfonds.org
[15] twitter.com
[10] rfi.fr
[7] aidsunited.org
[3] eventbrite.com
[3] yplusglobal.org
[3] politico.eu
[2] politico.com
[2] swoogo.com

Top Domains in Tweet in G5:
[2] archive.is
[1] twitter.com
[1] avert.org

Top Domains in Tweet in G6:
[8] twitter.com
[4] hiv.gov
[2] cbsn.ws
[1] thedailybeast.com
[1] youtube.com
[1] theguardian.com
[1] cbsnews.com
[1] hhs.gov
[1] cnn.com
[1] healthline.com

Top Domains in Tweet in G7:
[6] dy.si
[4] sciencemag.org
[2] twitter.com
[1] cdc.gov
[1] usatoday.com
[1] facebook.com

Top Domains in Tweet in G9:
[2] twitter.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[509] hiv
[329] aids
[159] covid19
[40] trump
[40] 性感染症
[38] amyconeybarrett
[38] obamacare
[36] 2020uscha
[35] covid_19
[34] hivboshi



Top Hashtags in Tweet in G1:
[104] hiv
[89] aids
[22] covid19
[7] covid
[7] hivaids
[7] uequalsu
[7] medicine
[6] gay
[6] health
[6] hepatitis

Top Hashtags in Tweet in G3:
[1] qldvotes

Top Hashtags in Tweet in G4:
[97] hiv
[46] aids
[32] 2020uscha
[23] covid19
[16] keypopulations
[15] igsvirtual2020
[14] africanamerican
[14] fundingforkeypops
[11] uscha2020
[10] stigma

Top Hashtags in Tweet in G5:
[1] covid19

Top Hashtags in Tweet in G6:
[7] nlaad
[5] endhivepidemic
[4] hiv
[3] icymi
[2] stophivstigma
[2] nlaad2020
[1] nvac
[1] ettd
[1] 2020uscha
[1] hivhistory

Top Hashtags in Tweet in G7:
[33] covid19
[3] lyme
[2] dyk
[1] hiv
[1] coronavirus
[1] maga
[1] benedict
[1] thedlq
[1] zim

Top Hashtags in Tweet in G10:
[1] cripthevote
[1] debates2020

Top Words
Top Words in Tweet in Entire Graph:
[6183] hiv
[4969] aids
[1403] covid
[819] health
[809] people
[619] sex
[590] years
[537] drug
[509] #hiv
[471] person

Top Words in Tweet in G1:
[851] hiv
[778] aids
[104] #hiv
[98] people
[89] #aids
[82] covid
[66] 19
[59] health
[53] more
[44] virus

Top Words in Tweet in G2:
[814] hiv
[802] covid
[416] vacinas
[391] genética
[388] edição
[388] parece
[387] chines
[387] fez
[387] clonagem
[387] imunidade

Top Words in Tweet in G3:
[411] health
[410] worked
[410] 40
[410] person
[410] alcohol
[410] drug
[410] service
[410] qld
[410] campbell
[410] newman

Top Words in Tweet in G4:
[299] hiv
[186] aids
[104] funding
[102] unaids
[97] #hiv
[78] key
[74] populations
[64] treatment
[62] needs
[62] aidsfonds_intl

Top Words in Tweet in G5:
[277] ballouxfrancois
[276] perspective
[276] years
[275] pandemics
[275] over
[275] last
[274] sense
[274] help
[274] multiple
[274] 100

Top Words in Tweet in G6:
[130] aids
[115] hiv
[77] realdonaldtrump
[64] fauci
[58] dr
[49] disease
[49] 60minutes
[35] health
[32] president
[31] yrs

Top Words in Tweet in G7:
[117] hiv
[79] sciencecohen
[73] vaccine
[60] trial
[60] years
[59] 13
[59] ago
[59] nightmare
[59] result
[59] vaccination

Top Words in Tweet in G8:
[318] sex
[158] hiv
[158] aids
[158] std
[158] rate
[158] way
[158] high
[158] having
[158] side
[158] chicks

Top Words in Tweet in G9:
[163] hiv
[163] aids
[143] theultimate_za
[138] sex
[137] std
[137] having
[137] unprotected
[136] know
[136] sti
[136] still

Top Words in Tweet in G10:
[123] aids
[123] hiv
[122] yes
[122] covid
[122] generation
[122] largest
[122] boom
[122] disability
[122] population
[122] 1980s

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[3251] hiv,aids
[421] aids,hiv
[415] alcohol,drug
[413] worked,40
[413] 40,person
[413] person,alcohol
[413] drug,service
[413] service,qld
[413] qld,health
[413] health,campbell

Top Word Pairs in Tweet in G1:
[544] hiv,aids
[60] covid,19
[56] aids,hiv
[53] #hiv,#aids
[34] lt,lt
[15] living,hiv
[13] aids,epidemic
[12] #aids,#hiv
[10] reproductive,health
[10] std,hiv

Top Word Pairs in Tweet in G2:
[388] edição,genética
[388] vacinas,covid
[387] chines,fez
[387] fez,clonagem
[387] clonagem,edição
[387] genética,imunidade
[387] imunidade,hiv
[387] hiv,covid
[387] covid,parece
[387] parece,hiv

Top Word Pairs in Tweet in G3:
[410] worked,40
[410] 40,person
[410] person,alcohol
[410] alcohol,drug
[410] drug,service
[410] service,qld
[410] qld,health
[410] health,campbell
[410] campbell,newman
[410] newman,voted

Top Word Pairs in Tweet in G4:
[82] hiv,aids
[74] key,populations
[48] funding,key
[45] hiv,treatment
[42] access,hiv
[40] increased,access
[40] treatment,averted
[40] averted,around
[40] around,12
[40] 12,million

Top Word Pairs in Tweet in G5:
[274] sense,perspective
[274] perspective,help
[274] help,multiple
[274] multiple,pandemics
[274] pandemics,over
[274] over,last
[274] last,100
[274] 100,years
[274] years,influenza
[274] influenza,1957

Top Word Pairs in Tweet in G6:
[85] hiv,aids
[54] dr,fauci
[31] realdonaldtrump,60minutes
[29] public,health
[27] 60minutes,dr
[27] fauci,served
[27] served,american
[27] american,public
[27] health,50
[27] 50,yrs

Top Word Pairs in Tweet in G7:
[60] hiv,vaccine
[60] vaccine,trial
[59] trial,13
[59] 13,years
[59] years,ago
[59] ago,nightmare
[59] nightmare,result
[59] result,vaccination
[59] vaccination,increased
[59] increased,risk

Top Word Pairs in Tweet in G8:
[158] hiv,aids
[158] aids,std
[158] std,rate
[158] rate,way
[158] way,high
[158] high,having
[158] having,side
[158] side,chicks
[158] chicks,sex
[158] sex,buddies

Top Word Pairs in Tweet in G9:
[163] hiv,aids
[137] unprotected,sex
[136] know,std
[136] std,sti
[136] sti,hiv
[136] aids,still
[136] still,going
[136] going,around
[136] around,having
[136] having,unprotected

Top Word Pairs in Tweet in G10:
[122] yes,covid
[122] covid,generation
[122] generation,largest
[122] largest,boom
[122] boom,disability
[122] disability,population
[122] population,aids
[122] aids,hiv
[122] hiv,1980s
[122] 1980s,ptsd

Top Replied-To
Top Replied-To in Entire Graph:
@charliebach
@realdonaldtrump
@brandxjon
@maxboot
@sen_joemanchin
@stephenking
@charlesmblow
@davidveevers1
@richieoketch
@sadatoliveira

Top Replied-To in G1:
@leewardtafara

Top Replied-To in G2:
@liberdademedico
@osmarterra
@gfiuza_oficial
@g1
@_leitadas_loen
@zolbec
@ginghinni7
@sunllysa
@stylilac
@aftergiowbutera

Top Replied-To in G4:
@charliebach
@matthew_hodson
@calumdouglas7
@nat_aids_trust
@unep
@id_dodondawa
@unaids
@pritipatel
@missnikkip88
@pennymordaunt

Top Replied-To in G5:
@ballouxfrancois
@krebsscott
@markready47
@dmrees
@drsophieharman
@gregggonsalves
@ioanaa_cristea
@sgifforduk

Top Replied-To in G6:
@realdonaldtrump
@joebiden
@mike_pence
@therightmelissa
@bitterclingerpa
@murray_nyc
@thomasewoods
@jensheltonn
@ericrweinstein
@mikeharnedy

Top Replied-To in G7:
@petebuttigieg
@pontifex
@nih
@kirstiealley
@johncardillo
@caribewellness
@cdcgov
@emoryrollins
@mmpadellan

Top Replied-To in G8:
@motloutsishimmy

Top Mentioned
Top Mentioned in Entire Graph:
@feathersmcgee
@canalccore2
@ballouxfrancois
@motloutsishimmy
@theultimate_za
@rebeccacokley
@unaids
@sciencecohen
@realdonaldtrump
@nickiminaj

Top Mentioned in G1:
@pancaporg
@stigmabase
@aware_now
@time2coach
@bunnzworld
@bare_prep_sp
@cleaninsight
@pairsonnalitesf
@mlnangalama

Top Mentioned in G2:
@canalccore2
@fabioteles007
@_leitadas_loen
@liberdademedico
@anholeto
@maggiepole1
@ginghinni7
@g1
@arthurweint
@theoria31314227

Top Mentioned in G3:
@feathersmcgee
@nebraskamegan

Top Mentioned in G4:
@unaids
@aidsfonds_intl
@aids_united
@thtorguk
@appg_hiv_aids
@yplus_global
@pozmagazine
@frontlineaids
@adolescenthivtx
@ejaf

Top Mentioned in G5:
@ballouxfrancois
@tothur
@curious30525151
@j_h_5
@thelibertyrebel
@justjojob
@the_don1988
@carrie_inlondon
@ellapemberton
@desmondswayne

Top Mentioned in G6:
@realdonaldtrump
@60minutes
@miafarrow
@joebiden
@drlapook
@nataliejharp
@hhs_ash
@gop
@hivgov
@maddow

Top Mentioned in G7:
@sciencecohen
@helenbranswell
@cdcgov
@pulitzercenter
@newsfromscience
@julietcuthbert
@icf
@unionconference
@theunion_tblh
@pepfar

Top Mentioned in G8:
@motloutsishimmy
@olesegodineo

Top Mentioned in G9:
@theultimate_za
@nandijkj
@motloutsishimmy

Top Mentioned in G10:
@rebeccacokley

Top Tweeters
Top Tweeters in Entire Graph:
@easy_branches
@detikcom
@kompascom
@pairsonnalites
@jurylady5
@pairsonnalitesu
@hrblock_21
@scarfizal
@mlnangalama
@jude_mugabi

Top Tweeters in G1:
@pairsonnalites
@pairsonnalitesu
@mlnangalama
@watsupafrica
@pairsonnalitese
@stigmabase
@pairsonnalitesf
@chronlaw
@mlczone
@anamafalda1992

Top Tweeters in G2:
@g1
@artinovar
@limadoc
@nacilia
@madrilenha
@lelacohen
@mnunesvsc
@angelicaguirele
@bonnieximena
@omnipangolin

Top Tweeters in G3:
@3wombats
@slsandpet
@fedupofpollys
@ern_malleyscrub
@sydnets
@ochreblue
@wittatwitta
@weezmgk
@frygerard
@misskylie77

Top Tweeters in G4:
@nilimajumder
@trigorosa
@magarya
@skynews
@ssxman2
@lgbtqplusbot
@candtalan
@nlygo
@faznet
@paulocanning

Top Tweeters in G5:
@revolution_fr
@_redfrog
@magicdmw
@fieryreddragon
@jota
@ricpuglisi
@asnodeburidan
@tothur
@beddoeroger
@sheelaghg

Top Tweeters in G6:
@smcenturff
@lisamoraitis1
@funder
@davidmweissman
@vannschaffner
@brianstelter
@vtsusie
@beth_lizet
@jmcavam
@breitbartnews

Top Tweeters in G7:
@padakitty
@cnbsnana
@scout2462
@roxann_minerals
@jaevionn
@usatoday
@miseryxchord
@bewickwren
@shmarya
@ajagbeadewole

Top Tweeters in G8:
@les_thegreat
@czarodriego
@taliascottp
@fairjoy_za
@neo_mvundla
@boetprince
@straightmarvin
@realkevinart_
@tevin8r
@sandilehmabaso

Top Tweeters in G9:
@theultimate_za
@joan_mg
@nandijkj
@staxcooks
@kat_upendi
@ilikemaneyo
@whoisurgod
@siiphiwe
@_bxngii
@heidi_timbs

Top Tweeters in G10:
@sfdirewolf
@holliejoyjoy
@shannonaber
@daniellegembala
@tinu
@darthmamashark
@chromesthesia
@audiobookmel
@adigoesswimming
@koffiekakeki


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