The graph represents a network of 8,371 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, 16 May 2022 at 02:22 UTC.
The requested start date was Monday, 16 May 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 3-day, 23-hour, 18-minute period from Wednesday, 11 May 2022 at 12:48 UTC to Sunday, 15 May 2022 at 12:07 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 : 8371
Unique Edges : 3696
Edges With Duplicates : 12532
Total Edges : 16228
Number of Edge Types : 5
MentionsInRetweet : 6460
Mentions : 2239
Retweet : 5700
Tweet : 1100
Replies to : 729
Self-Loops : 1152
Reciprocated Vertex Pair Ratio : 0.012511693171188
Reciprocated Edge Ratio : 0.0247141702275089
Connected Components : 1095
Single-Vertex Connected Components : 389
Maximum Vertices in a Connected Component : 2382
Maximum Edges in a Connected Component : 5433
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 3.781409
Graph Density : 0.000123584766033157
Modularity : 0.519628
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,371 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, 16 May 2022 at 02:22 UTC.
The requested start date was Monday, 16 May 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 3-day, 23-hour, 18-minute period from Wednesday, 11 May 2022 at 12:48 UTC to Sunday, 15 May 2022 at 12:07 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:
[5323] hiv,aids [2382] em,2019 [2382] 2019,ano [2382] ano,não [2382] não,eleitoral [2382] eleitoral,nós [2382] nós,reduzimos [2382] reduzimos,impostos [2382] impostos,remédios [2382] remédios,contra Top Word Pairs in Tweet in G1:
[2378] sr,favelado [2378] favelado,investidor [2378] investidor,em [2378] em,2019 [2378] 2019,ano [2378] ano,não [2378] não,eleitoral [2378] eleitoral,nós [2378] nós,reduzimos [2378] reduzimos,impostos Top Word Pairs in Tweet in G2:
[732] hiv,aids [626] 15,emerging [626] emerging,feared [626] feared,along [626] along,studied [626] studied,decade [626] decade,hiv [626] aids,see [625] thrasherxy,15 [625] see,happeni Top Word Pairs in Tweet in G3:
[339] hiv,aids [30] offer,online [30] online,class [30] class,homework [30] homework,assignment [30] assignment,exam [30] exam,expert [30] expert,help [24] communication,skills [20] aids,hiv Top Word Pairs in Tweet in G4:
[62] hiv,aids [32] people,living [28] 40,years [28] #aids,pandemic [27] years,start [27] start,#aids [27] pandemic,#hiv [27] #hiv,continues [27] continues,affect [27] affect,millions Top Word Pairs in Tweet in G5:
[257] hiv,aids [34] fight,against [32] living,hiv [31] against,hiv [26] aids,2030 [26] buganda,kingdom [25] know,status [25] dfcu,bank [25] 2022,kabaka [25] kabaka,birthday Top Word Pairs in Tweet in G6:
[121] #hiv,#aids [64] hiv,aids [48] #性感染症,#hivboshi [46] #aids,#性感染症 [21] hiv,エイズ [21] central,park [20] aids,memorial [17] help,raise [16] aids,walk [16] annual,#aidswalkny Top Word Pairs in Tweet in G7:
[139] iimenami,hivとaids増えてる件 [10] eness,3月9日 [10] 3月9日,耳が聞こえないとか失明したとか [10] 耳が聞こえないとか失明したとか,もうあらゆる病気になります [10] もうあらゆる病気になります,接種者は免疫力を破壊されてるから [10] 接種者は免疫力を破壊されてるから,hiv患者と同じ [10] hiv患者と同じ,肺炎で亡くなる [10] 肺炎で亡くなる,全身にぶつぶつできてaidsの症状とか [10] 全身にぶつぶつできてaidsの症状とか,もう567関係ない [10] もう567関係ない,567を防ぐ Top Word Pairs in Tweet in G8:
[151] hiv,aids [134] philippine,hiv [83] aids,policy [68] policy,act [68] risa,hontiveros [67] sa,section [67] hontiveros,ang [67] ang,author [67] author,ng [67] ng,philippine Top Word Pairs in Tweet in G9:
[98] hiv,aids [86] kena,hiv [81] kaum,lgbt [80] yang,mendukung [80] mendukung,lgbt [80] lgbt,atas [80] atas,nama [80] nama,ham [80] ham,saat [80] saat,kaum Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: