HIV AIDS, Twitter, 9/28/2020 1:29:36 AM, 236115


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HIV AIDS_2020-09-27_17-55-45.xlsx
HIV AIDS_2020-09-27_17-55-45.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
September 28, 2020
Short Description:
HIV AIDS via NodeXL https://bit.ly/341wNMh
@karenattiah
@meidastouch
@waci_tweets
@kenya
@dichristine
@hivgov
@globalfund
@realdonaldtrump
@cdcgov
@stanbackkenneth

Top hashtags:
#hiv
#gloriouswednesdayword
#aids
#covid19
#에이즈
#ngmhaad
#tetapbangga
#safepalug
#drfauci

Description:
Description
The graph represents a network of 8,312 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, 28 September 2020 at 01:02 UTC.

The requested start date was Monday, 28 September 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 3-day, 15-hour, 40-minute period from Tuesday, 22 September 2020 at 20:47 UTC to Saturday, 26 September 2020 at 12:27 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 : 8312
Unique Edges : 4590
Edges With Duplicates : 11189
Total Edges : 15779
Number of Edge Types : 5
Replies to : 940
Mentions : 2058
Retweet : 5118
MentionsInRetweet : 6266
Tweet : 1397
Self-Loops : 1478
Reciprocated Vertex Pair Ratio : 0.0140469847420683
Reciprocated Edge Ratio : 0.0277048005732028
Connected Components : 1544
Single-Vertex Connected Components : 577
Maximum Vertices in a Connected Component : 2388
Maximum Edges in a Connected Component : 6319
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.405831
Graph Density : 0.000121219960929362
Modularity : 0.549117
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,312 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, 28 September 2020 at 01:02 UTC.

The requested start date was Monday, 28 September 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 3-day, 15-hour, 40-minute period from Tuesday, 22 September 2020 at 20:47 UTC to Saturday, 26 September 2020 at 12:27 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:
[18] https://www.pscp.tv/w/cjoZnDFwempNT09na21uUWR8MU93eFdMZGJkWU1LUViivFylFX9hpkegiagb0DApRnqYlircWgtK4qNTz1qs
[16] https://truepundit.com/dod-leak-feds-investigated-birx-fabricated-falsified-hiv-aids-vaccine-trials/
[15] https://www.cdc.gov/stophivtogether/hiv-prevention/convo.html?ngmhaad20
[13] https://rogerstv.com/media?lid=237&rid=23&gid=590202
[12] https://docs.google.com/forms/d/e/1FAIpQLSctl4PrVfnih-p9QKIX8hvGTm5H1Dzt8RMygTlQXatDMSX6JQ/viewform?vc=0&c=0&w=1&flr=0&gxids=7757
[11] https://www.pinknews.co.uk/2020/09/23/joe-exotic-before-he-was-king-tiger-husband-hiv-aids-death-investigation-discovery/
[8] http://www.aids.gov.br/pt-br/publico-geral/prevencao-combinada/profilaxia-pre-exposicao-prep
[8] https://www.politico.com/news/agenda/2020/09/23/what-stds-can-tell-us-about-how-to-fight-covid-420720
[7] https://www.youtube.com/watch?v=fLekq_3PPFM&feature=youtu.be

[7] https://www.cdc.gov/stophivtogether/hiv-prevention/prep.html?ngmhaad20

Top URLs in Tweet in G1:
[13] https://rogerstv.com/media?lid=237&rid=23&gid=590202
[12] https://www.cdc.gov/stophivtogether/hiv-prevention/convo.html?ngmhaad20
[6] https://truepundit.com/dod-leak-feds-investigated-birx-fabricated-falsified-hiv-aids-vaccine-trials/
[6] 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.cdc.gov/stophivtogether/hiv-prevention/prep.html?ngmhaad20
[4] https://www.hivdisclosuretochildren.org/
[3] https://www.cdc.gov/stophivtogether/hiv-treatment/talk-treatment.html?ngmhaad20
[3] https://www.tintasiyasi.com/2019/12/liberalisme-biang-kerok-maraknya-hiv.html
[3] https://twitter.com/0drLtL9f5vCOVbS/status/1309370403056267265?s=09
[3] https://grantwriters.net/search-for-grants/grant-6688/

Top URLs in Tweet in G3:
[3] https://truepundit.com/dod-leak-feds-investigated-birx-fabricated-falsified-hiv-aids-vaccine-trials/

Top URLs in Tweet in G4:
[2] https://www.miamiherald.com/news/local/obituaries/article245612895.html

Top URLs in Tweet in G6:
[10] https://www.pinknews.co.uk/2020/09/23/joe-exotic-before-he-was-king-tiger-husband-hiv-aids-death-investigation-discovery/
[4] https://www.poz.com/article/national-gay-mens-hivaids-awareness-day-2020-video
[3] https://aumag.org/2020/09/22/stay-angry-and-make-trouble/
[3] https://www.dw.com/p/3iwnO?maca=en-Twitter-sharing
[3] https://myemail.constantcontact.com/subject.html?soid=1011361658119&aid=YYSCtqWjffk
[2] https://www.theglobalfight.org/pandemics-and-the-black-diaspora-webinar/
[2] https://www.theglobalfight.org/covid-aids-tb-malaria/
[2] https://locator.hiv.gov/
[2] https://www.theglobalfund.org/en/news/2020-09-14-global-fund-partnership-has-saved-38-million-lives/
[2] https://www.hiv.gov/events/awareness-days/gay-mens

Top URLs in Tweet in G7:
[1] https://twitter.com/atrupar/status/1308209927274536961
[1] https://www.ebar.com/index.php?id=297213&fbclid=IwAR3pa1s4jP-c7wKk93inJmYU3mZaub_iUrHfxpfjqcmqnJXrMBf6hx8T2s8

Top URLs in Tweet in G8:
[14] https://www.pscp.tv/w/cjoZnDFwempNT09na21uUWR8MU93eFdMZGJkWU1LUViivFylFX9hpkegiagb0DApRnqYlircWgtK4qNTz1qs
[1] https://twitter.com/D_Elungat2/status/1308822555210514435
[1] https://twitter.com/RepentNorway/status/1308809752026046464
[1] https://twitter.com/Busse_Heiligung/status/1308825822539796482
[1] https://s3.radio.co/s97f38db97/listen
[1] https://youtube.com/c/RepentPrepareTheWay/Live/
[1] https://twitter.com/Josephi49281971/status/1308839275144847360

Top URLs in Tweet in G9:
[2] http://abcnews.go.com/Health/health-experts-call-national-covid-19-strategy-current/story?id=73145559
[1] http://www.xinhuanet.com/english/2020-09/23/c_139391229.htm
[1] https://trib.al/wvERbuJ
[1] https://trib.al/ps3J7mm
[1] https://trib.al/OA1adwR

Top URLs in Tweet in G10:
[1] http://virusmyth.com/aids/hiv/chjtests5.htm
[1] https://twitter.com/MarionKoopmans/status/1308296329542557698
[1] https://sci-hub.scihubtw.tw/10.1007/bf01435010
[1] https://uncoverdc.com/2020/04/07/was-the-covid-19-test-meant-to-detect-a-virus/
[1] https://threadreaderapp.com/thread/1309167958128840706.html
[1] https://www.youtube.com/watch?v=wy3frBacd2k&feature=emb_logo

[1] https://twitter.com/LisaFrideborg/status/1307593800399945743

Top Domains
Top Domains in Tweet in Entire Graph:
[178] twitter.com
[70] youtube.com
[43] cdc.gov
[42] feedburner.com
[29] google.com
[29] hiv.gov
[21] pairsonnalites.org
[19] pscp.tv
[17] co.uk
[16] truepundit.com

Top Domains in Tweet in G1:
[77] twitter.com
[42] feedburner.com
[23] cdc.gov
[21] pairsonnalites.org
[13] rogerstv.com
[12] datingforpositivesingles.com
[9] google.com
[8] youtube.com
[6] truepundit.com
[6] instagram.com

Top Domains in Tweet in G3:
[3] truepundit.com

Top Domains in Tweet in G4:
[2] miamiherald.com

Top Domains in Tweet in G6:
[14] cdc.gov
[12] hiv.gov
[10] co.uk
[6] poz.com
[5] theglobalfight.org
[5] matec.info
[5] twitter.com
[4] nih.gov
[3] clinicaloptions.com
[3] aumag.org

Top Domains in Tweet in G7:
[1] twitter.com
[1] ebar.com

Top Domains in Tweet in G8:
[14] pscp.tv
[4] twitter.com
[1] radio.co
[1] youtube.com

Top Domains in Tweet in G9:
[3] trib.al
[2] go.com
[1] xinhuanet.com

Top Domains in Tweet in G10:
[2] twitter.com
[1] virusmyth.com
[1] scihubtw.tw
[1] uncoverdc.com
[1] threadreaderapp.com
[1] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[504] hiv
[226] gloriouswednesdayword
[217] aids
[154] covid19
[109] 에이즈
[72] ngmhaad
[48] tetapbangga
[46] safepalug
[38] drfauci
[33] starttalkinghiv



Top Hashtags in Tweet in G1:
[115] hiv
[72] aids
[28] ngmhaad
[22] gloriouswednesdayword
[21] starttalkinghiv
[20] 性感染症
[16] hivboshi
[15] covid19
[9] uequalsu
[8] hivawareness

Top Hashtags in Tweet in G4:
[1] rt

Top Hashtags in Tweet in G6:
[78] hiv
[32] ngmhaad
[24] aids
[23] covid19
[8] webinar
[7] starttalkinghiv
[6] nhaad
[6] stophivtogether
[5] gettested
[5] cme

Top Hashtags in Tweet in G7:
[2] nhaad
[2] hivandaging
[2] uequalsu

Top Hashtags in Tweet in G8:
[138] gloriouswednesdayword
[6] gloriouswenesdayword
[3] liveglobalvigil
[1] cripplesarewalking
[1] gloriouswednesday
[1] globalwenesdayword
[1] gloriouswedndayword

Top Hashtags in Tweet in G9:
[29] covid19

Top Hashtags in Tweet in G10:
[9] covid19
[8] ebola
[8] mers
[8] sars
[8] flu
[8] dengue
[8] hiv
[8] aids
[1] sars_cov_2

Top Words
Top Words in Tweet in Entire Graph:
[5842] hiv
[5673] aids
[1207] covid
[888] people
[807] meidastouch
[766] 19
[584] died
[565] national
[543] health
[504] #hiv

Top Words in Tweet in G1:
[840] hiv
[707] aids
[146] day
[115] #hiv
[101] national
[100] people
[97] gay
[73] men
[72] #aids
[71] awareness

Top Words in Tweet in G2:
[796] aids
[793] meidastouch
[519] hiv
[278] funding
[277] sponsored
[277] reauthorization
[277] global
[277] program
[277] pepfar
[277] significantly

Top Words in Tweet in G3:
[281] hiv
[281] aids
[279] dod
[279] leak
[279] feds
[279] investigated
[279] birx
[279] cdc
[279] director
[279] scientific

Top Words in Tweet in G4:
[281] helen
[281] gutierrez
[281] zwick
[281] 62
[281] south
[281] florida
[281] died
[281] covid
[281] 19
[281] july

Top Words in Tweet in G5:
[275] hiv
[274] aids
[269] adrianumendes
[257] constantemente
[257] associado
[257] gays
[257] incio
[257] epidemia
[257] mas
[257] voce

Top Words in Tweet in G6:
[251] hiv
[165] aids
[123] gay
[119] day
[113] awareness
[112] national
[109] men
[78] #hiv
[49] people
[35] hivgov

Top Words in Tweet in G7:
[196] aids
[195] hiv
[192] died
[192] covid
[191] uncle
[191] three
[191] decade
[191] longterm
[191] survivor
[191] early

Top Words in Tweet in G8:
[253] hiv
[221] aids
[138] #gloriouswednesdayword
[69] jesus
[57] healed
[56] lord
[55] mightiest
[51] blood
[49] ruth
[46] prophets

Top Words in Tweet in G9:
[335] strategy
[175] health
[175] experts
[175] national
[163] hiv
[163] aids
[162] covid
[162] 19
[161] obama
[159] public

Top Words in Tweet in G10:
[112] hiv
[104] covid
[102] elonbachman
[101] aids
[97] world
[90] 1980s
[89] confronted
[89] scary
[89] epidemic
[89] 19

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[4464] hiv,aids
[758] covid,19
[483] died,covid
[312] people,hiv
[304] aids,program
[294] whose,work
[290] global,aids
[288] program,pepfar
[287] sponsored,reauthorization
[287] reauthorization,global

Top Word Pairs in Tweet in G1:
[526] hiv,aids
[64] aids,awareness
[59] awareness,day
[56] #hiv,#aids
[52] national,gay
[49] aids,hiv
[46] gay,men
[44] men,hiv
[35] day,national
[28] covid,19

Top Word Pairs in Tweet in G2:
[518] hiv,aids
[277] sponsored,reauthorization
[277] reauthorization,global
[277] global,aids
[277] aids,program
[277] program,pepfar
[277] pepfar,significantly
[277] significantly,expanded
[277] expanded,funding
[277] funding,targets

Top Word Pairs in Tweet in G3:
[280] hiv,aids
[279] dod,leak
[279] leak,feds
[279] feds,investigated
[279] investigated,birx
[279] birx,cdc
[279] cdc,director
[279] director,scientific
[279] scientific,fraud
[279] fraud,misconduct

Top Word Pairs in Tweet in G4:
[281] helen,gutierrez
[281] gutierrez,zwick
[281] zwick,62
[281] 62,south
[281] south,florida
[281] florida,died
[281] died,covid
[281] covid,19
[281] 19,july
[281] july,17

Top Word Pairs in Tweet in G5:
[273] hiv,aids
[257] aids,constantemente
[257] constantemente,associado
[257] associado,gays
[257] gays,incio
[257] incio,epidemia
[257] epidemia,mas
[257] mas,voce
[257] voce,sabia
[257] sabia,os

Top Word Pairs in Tweet in G6:
[125] hiv,aids
[102] awareness,day
[94] national,gay
[88] aids,awareness
[82] gay,men
[76] men,hiv
[24] million,people
[21] globalfund,results
[21] results,20
[21] 20,million

Top Word Pairs in Tweet in G7:
[195] hiv,aids
[192] died,covid
[191] uncle,three
[191] three,decade
[191] decade,longterm
[191] longterm,survivor
[191] survivor,hiv
[191] aids,died
[191] covid,early
[191] early,april

Top Word Pairs in Tweet in G8:
[221] hiv,aids
[37] those,leprosy
[35] matthew,11
[35] 11,blind
[35] blind,receive
[35] receive,sight
[35] sight,lame
[35] lame,walk
[35] walk,those
[35] leprosy,cured

Top Word Pairs in Tweet in G9:
[175] health,experts
[163] hiv,aids
[162] national,covid
[162] covid,19
[162] 19,strategy
[159] public,health
[159] experts,proposed
[159] proposed,national
[159] strategy,based
[159] based,obama

Top Word Pairs in Tweet in G10:
[94] hiv,aids
[89] 1980s,world
[89] world,confronted
[89] confronted,scary
[89] scary,epidemic
[89] epidemic,hiv
[89] aids,covid
[89] covid,19
[89] 19,quickly
[88] elonbachman,1980s

Top Replied-To
Top Replied-To in Entire Graph:
@repent_europe
@austriarepent7
@mukuba_charity
@realdonaldtrump
@unsnatcher
@rkennethowen
@unaids
@charriselane
@loucecil2
@sales_un

Top Replied-To in G3:
@tomselliott
@thomas1774paine

Top Replied-To in G5:
@adrianumendes

Top Replied-To in G6:
@dakota_150
@gileadsciences
@aborunda
@cdcmmwr
@diamondlady7827
@alyssafarah
@cdcgov
@globalfund

Top Replied-To in G8:
@repent_europe
@austriarepent7
@denmarkrepent
@graceki78239907
@zealouskoki
@bahappuch
@vellardukunde
@_allan_asava
@achamsu
@rudolfh13535316

Top Replied-To in G10:
@emilypetro22
@lorencharnley
@kiswanson
@elonbachman
@hotzone_chiller
@regancupps79
@saifedean
@luciandipeso

Top Mentioned
Top Mentioned in Entire Graph:
@meidastouch
@facesofcovid
@thomas1774paine
@adrianumendes
@mynameisjro
@abc
@karenattiah
@koreadca
@elonbachman
@davidmilley22

Top Mentioned in G1:
@pairsonnalitesn
@grantgeek
@pairsonnalitesf
@pairsonnalitese
@donnamellon1
@grimhood
@juliansapp
@ptsdisco
@info4america
@lvrfox

Top Mentioned in G2:
@meidastouch

Top Mentioned in G3:
@thomas1774paine
@gardenerams
@1angel_galeon
@tomselliott

Top Mentioned in G4:
@facesofcovid
@meidastouch

Top Mentioned in G5:
@adrianumendes

Top Mentioned in G6:
@hivgov
@globalfund
@aids_united
@theglobalfight
@gfan_africa
@nih
@cdcgov
@treypearson
@cdc_hivaids
@pinknews

Top Mentioned in G7:
@mynameisjro
@preventionac
@facesofcovid
@meidastouch

Top Mentioned in G8:
@kainja_geofrey
@vellardukunde
@_allan_asava
@graceki78239907
@bahappuch
@gregoryjumahc
@aogamary
@okechialphonce
@ikuogoh
@d_elungat2

Top Mentioned in G9:
@abc
@xhnews
@delthiaricks

Top Mentioned in G10:
@elonbachman
@ryankemper10
@patricksavalle
@xgohub
@stacey_rudin
@mihaylov_kiril
@hotzone_chiller
@mcfunny
@montaigne01
@heckofaliberal

Top Tweeters
Top Tweeters in Entire Graph:
@jornalistavitor
@oldlady12345
@rlthingy
@dichristine
@pairsonnalites
@odio_nao
@pairsonnalitesa
@vivacoid
@falconhamada_90
@united

Top Tweeters in G1:
@pairsonnalites
@pairsonnalitesa
@pairsonnalitese
@cheezwitham
@pairsonnalitesn
@stigmabase
@pairsonnalitesf
@jawapos
@blackcuminpower
@pengadaannet

Top Tweeters in G2:
@phillip92321
@mayirmamay14
@damonbethea1
@eddarrell
@teram323tere
@sueglashauser
@yayayarndiva
@dawnarickelz
@aquarius1049
@bjcrochet

Top Tweeters in G3:
@shoutgracegrace
@cssueta
@sheindie
@lonestartxmary
@vlovesanimals
@nltcny
@lattydian
@realwendyteresa
@mimiinftworth
@suohuu

Top Tweeters in G4:
@jhamby
@sophialamar1
@shirfire218
@trumpwatchnews
@570karen
@juliawb
@denver_rose
@aryss1
@zannerina
@nate_ready2go

Top Tweeters in G5:
@madinacosta
@blvckjenn
@karendotuito
@rhaymirandela
@euheinale
@jadilson_rodrig
@variasqueixasss
@nubiaoliv
@adrianumendes
@daniloalvespark

Top Tweeters in G6:
@guardian
@trigorosa
@teresamac2009
@dkpolparrot
@hiv_insight
@mikellyoung
@pinknews
@ronaldmatters
@amitkum09617147
@faryus88

Top Tweeters in G7:
@ggg_says
@beverly21811568
@adamisarockgod
@tenshiakari12
@rosenaram
@tahfromslc
@queenguillotine
@rebelsresisting
@jonath666
@carloseats

Top Tweeters in G8:
@thedailybeast
@measureup77
@afecto_al_cocuy
@bahappuch
@elianebis1
@otienojackb
@vellardukunde
@emodiabenjamin
@itsmwiti2
@j_kikwai

Top Tweeters in G9:
@jornalistavitor
@falconhamada_90
@pradopecci
@govsherazkhan
@jrm2406
@world_news_eng
@mika_berry
@kennethhowardc3
@northwind1ndn
@masky_jay_hoody

Top Tweeters in G10:
@sandoly
@diggrich_
@cryptocoinage
@hermetec
@shaq_131
@annek993
@libertarianmike
@beautyon_
@gregkoester
@allegro_w_brio