The graph represents a network of 8,193 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, 11 April 2022 at 02:00 UTC.
The requested start date was Monday, 11 April 2022 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, 12-hour, 18-minute period from Monday, 04 April 2022 at 23:49 UTC to Sunday, 10 April 2022 at 12:08 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 : 8193
Unique Edges : 4855
Edges With Duplicates : 11102
Total Edges : 15957
Number of Edge Types : 5
Retweet : 4735
MentionsInRetweet : 6070
Tweet : 1726
Mentions : 2500
Replies to : 926
Self-Loops : 1810
Reciprocated Vertex Pair Ratio : 0.0179769894534995
Reciprocated Edge Ratio : 0.0353190487402873
Connected Components : 1623
Single-Vertex Connected Components : 717
Maximum Vertices in a Connected Component : 3432
Maximum Edges in a Connected Component : 8965
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.27705
Graph Density : 0.000126555014570365
Modularity : 0.548244
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,193 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, 11 April 2022 at 02:00 UTC.
The requested start date was Monday, 11 April 2022 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, 12-hour, 18-minute period from Monday, 04 April 2022 at 23:49 UTC to Sunday, 10 April 2022 at 12:08 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:
[2963] hiv,aids [683] aids,crisis [658] straight,people [653] early,aids [653] crisis,lot [653] lot,argument [653] argument,hiv [653] hiv,gynecologist [653] gynecologist,told [653] told,straight Top Word Pairs in Tweet in G1:
[614] hiv,aids [98] aids,malaria [93] î,î [91] name,help [91] help,end [91] end,hiv [90] malaria,tuberculosis [90] added,name [90] save,millions [90] millions,lives Top Word Pairs in Tweet in G2:
[643] early,aids [643] aids,crisis [643] crisis,lot [643] lot,argument [643] argument,hiv [643] hiv,gynecologist [643] gynecologist,told [643] told,straight [643] straight,people [642] laurieallee,early Top Word Pairs in Tweet in G3:
[238] hiv,aids [154] aids,awareness [154] awareness,day [152] national,youth [143] #hiv,#aids [133] youth,hiv [100] ø,ø [77] young,people [65] æ,ÿæÿ [57] ù,ø Top Word Pairs in Tweet in G4:
[284] victims,hiv [284] hiv,intentionally [284] intentionally,injected [284] injected,virus [284] virus,#eritreansolder [283] #eritreansolder,sayâ [283] sayâ,œi [283] œi,aidsâ [151] aidsâ,rapiâ [132] aidsâ,raping Top Word Pairs in Tweet in G5:
[47] hiv,aids [30] worst,hit [29] young,people [23] living,hiv [23] leading,scientists [22] people,living [18] hiv,response [18] unaids,unaids_id [18] unaids_id,unaidsph [18] unaidsph,unthailand Top Word Pairs in Tweet in G6:
[183] untreated,gonorrhea [183] gonorrhea,lead [183] lead,infertility [183] infertility,both [183] both,males [183] males,females [183] females,pelvic [183] pelvic,infections [183] infections,females [183] females,infection Top Word Pairs in Tweet in G7:
[78] cover,variety [78] variety,raminsetoodeh [78] raminsetoodeh,interviewed [78] interviewed,magicjohnson [78] magicjohnson,changing [78] changing,history [78] history,basketball [77] selomeeeee,cover [77] basketball,theâ [39] magic,johnson Top Word Pairs in Tweet in G8:
[11] hiv,aids [7] viruses,biology [4] immune,system [4] aids,hiv [4] learn,viruses [3] ashtfe,kpcresearch [3] kpcresearch,eastyorkstony [3] greatregretca,ragtoo [3] ragtoo,truth_in_number [3] g_ballew,swordthechemist Top Word Pairs in Tweet in G9:
[115] ryan,white [105] hiv,aids [99] people,living [98] living,hiv [96] today,remember [96] remember,18 [96] 18,year [96] year,old [96] old,ryan [96] white,fearless Top Word Pairs in Tweet in G10:
[192] hiv,aids [71] nacc_kenya,mediacouncilk [71] ncpd_kenya,nacc_kenya [58] #endtriplethreatke,ncpd_kenya [28] against,hiv [27] public,health [26] hiv,infections [26] aids,#endtriplethreatke [25] teenage,pregnancies [23] manage,prevent Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: