The graph represents a network of 5,550 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 Tuesday, 13 August 2019 at 09:04 UTC.
The requested start date was Monday, 12 August 2019 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, 19-hour, 3-minute period from Friday, 09 August 2019 at 17:23 UTC to Sunday, 11 August 2019 at 12:26 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
Vertices : 5550
Unique Edges : 6107
Edges With Duplicates : 555
Total Edges : 6662
Number of Edge Types : 3
Mentions : 6139
Tweet : 384
Replies to : 139
Self-Loops : 384
Reciprocated Vertex Pair Ratio : 0.0043800539083558
Reciprocated Edge Ratio : 0.00872190540087219
Connected Components : 408
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 1612
Maximum Edges in a Connected Component : 2004
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.445172
Graph Density : 0.000193590599069064
Modularity : 0.796982
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1628] unprotected,sex [1626] hiv,hpv [1626] hpv,aids [1626] aids,herpes [1626] herpes,chlamydia [1626] chlamydia,rate [1626] rate,way [1626] way,damn [1626] damn,high [1626] high,having Top Word Pairs in Tweet in G1:
[1612] hiv,hpv [1612] hpv,aids [1612] aids,herpes [1612] herpes,chlamydia [1612] chlamydia,rate [1612] rate,way [1612] way,damn [1612] damn,high [1612] high,having [1612] having,hoes Top Word Pairs in Tweet in G2:
[1062] contra,câncer [1062] câncer,e [1061] governo,zera [1061] zera,tarifa [1061] tarifa,importação [1061] importação,em [1061] em,medicamentos [1061] medicamentos,contra [1061] e,hiv [1061] hiv,tds Top Word Pairs in Tweet in G3:
[480] câncer,e [480] e,hiv [462] hiv,aids [459] reduziu,17 [459] 17,tarifas [459] tarifas,importação [458] medicamentos,tratamento [458] tratamento,pacientes [458] pacientes,com [458] com,câncer Top Word Pairs in Tweet in G4:
[387] hiv,aids [384] 25,years [384] years,ago [384] ago,hiv [384] aids,death [384] death,sentence [384] sentence,today [384] today,another [384] another,chronic [384] chronic,condition Top Word Pairs in Tweet in G5:
[245] name,siphosethu [245] siphosethu,ngubane [245] ngubane,22 [245] 22,years [245] years,old [245] old,l [245] l,born [245] born,hiv [245] hiv,pregnant [245] pregnant,father Top Word Pairs in Tweet in G6:
[125] hiv,aids [15] immuno,chemistry [13] market,insights [13] insights,epidemiology [13] epidemiology,market [13] market,forecast [13] forecast,2028 [13] prices,usd [12] chemistry,market [12] market,outlook Top Word Pairs in Tweet in G7:
[52] hey,tweeps [52] tweeps,want [52] want,engage [52] engage,wonder [52] wonder,talking [52] talking,#thegreatestvisitation [51] ma_rwaj,hey [51] #thegreatestvisitation,becau [27] hiv,aids [11] cases,really Top Word Pairs in Tweet in G8:
[29] hiv,aids [13] know,difference [13] difference,between [13] between,hiv [12] happiness,progress [12] progress,made [12] made,tackling [12] tackling,#hiv [12] #hiv,tempered [12] tempered,grief Top Word Pairs in Tweet in G9:
[13] thisweekabc,robinroberts [13] robinroberts,gma [13] gma,joebiden [13] joebiden,whitehouse [13] whitehouse,nmstatepolice [13] nmstatepolice,potus [13] potus,govmlg [13] govmlg,fbi [13] fbi,thejusticedept [13] thejusticedept,fcc Top Word Pairs in Tweet in G10:
[53] 10,common [53] common,reasons [53] reasons,people [53] people,use [53] use,medical [53] medical,marijuana [53] marijuana,1 [53] 1,cancer [53] cancer,2 [53] 2,chronic Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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