The graph represents a network of 8,241 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 August 2020 at 01:14 UTC.
The requested start date was Monday, 24 August 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 4-day, 2-hour, 22-minute period from Monday, 17 August 2020 at 11:20 UTC to Friday, 21 August 2020 at 13:42 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 : 8241
Unique Edges : 5186
Edges With Duplicates : 10667
Total Edges : 15853
Number of Edge Types : 5
Retweet : 4663
MentionsInRetweet : 6154
Tweet : 1627
Mentions : 2423
Replies to : 986
Self-Loops : 1708
Reciprocated Vertex Pair Ratio : 0.0234494079024505
Reciprocated Edge Ratio : 0.0458242639477603
Connected Components : 1633
Single-Vertex Connected Components : 672
Maximum Vertices in a Connected Component : 2869
Maximum Edges in a Connected Component : 7832
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.739643
Graph Density : 0.000128545644969564
Modularity : 0.559093
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,241 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 August 2020 at 01:14 UTC.
The requested start date was Monday, 24 August 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 4-day, 2-hour, 22-minute period from Monday, 17 August 2020 at 11:20 UTC to Friday, 21 August 2020 at 13:42 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 Domains
Top Word Pairs in Tweet in Entire Graph:
[3656] hiv,aids [389] living,hiv [376] awareness,day [374] aids,awareness [370] southern,hiv [369] people,living [368] cause,death [274] world's,population [270] aids,cases [265] world's,hiv Top Word Pairs in Tweet in G1:
[554] hiv,aids [57] #hiv,#aids [57] aids,hiv [49] covid,19 [35] 30,years [33] people,living [30] living,hiv [29] years,ago [26] aids,awareness [26] horror,hiv Top Word Pairs in Tweet in G2:
[429] hiv,aids [321] southern,hiv [319] awareness,day [308] aids,awareness [113] today,southern [75] public,health [72] more,questions [72] questions,answers [65] future,public [58] ryan,white Top Word Pairs in Tweet in G3:
[276] hiv,aids [263] aids,cases [263] cases,sa [262] sa,population [262] population,constitutes [262] constitutes,01 [262] 01,world's [262] world's,population [262] population,17 [262] 17,world's Top Word Pairs in Tweet in G4:
[346] cause,death [189] living,hiv [179] people,living [173] tb,leading [173] leading,infectious [173] infectious,cause [173] death,globally [173] globally,remains [173] remains,main [173] main,cause Top Word Pairs in Tweet in G5:
[106] hiv,aids [64] joint,aids [63] annual,joint [58] partnership,forum [52] aids,review [45] 26th,27th [45] 27th,august [44] review,partnership [43] august,2020 [43] 2020,host Top Word Pairs in Tweet in G6:
[63] hiv,aids [23] living,hiv [22] people,living [18] second,round [18] emergency,funding [18] community,led [18] aids,during [14] join,nafophanu [13] living,#hiv [13] effective,community Top Word Pairs in Tweet in G7:
[131] costly,kemsa [131] kemsa,rot [131] rot,kemsa [131] kemsa,risks [131] risks,losing [131] losing,billions [131] billions,shillings [131] shillings,devalued [131] devalued,stocks [131] stocks,major Top Word Pairs in Tweet in G8:
[30] hiv,aids [8] aids,hiv [8] ninguém,fala [8] fala,menino [8] menino,gênero [8] gênero,masculino [8] masculino,estuprada [8] estuprada,mulheres [8] mulheres,principalmente [8] principalmente,mulheres Top Word Pairs in Tweet in G9:
[126] hiv,aids [74] ukimwi,haupimwi [74] haupimwi,virusi [74] virusi,vya [74] vya,hiv [74] hiv,ndivyo [74] ndivyo,hupimwa [74] hupimwa,difference [74] difference,between [74] between,hiv Top Word Pairs in Tweet in G10:
[116] hiv,aids [110] tell,anyone [110] anyone,hate [110] hate,man [110] man,10th [110] 10th,anniversary [110] anniversary,concert [110] concert,mukti [110] mukti,foundation [110] foundation,hiv Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: