The graph represents a network of 900 Twitter users whose recent tweets contained "#BHIVA2019 OR #BHIVA19 OR #BHIVA", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 06 April 2019 at 08:40 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 24-minute period from Thursday, 28 March 2019 at 21:12 UTC to Saturday, 06 April 2019 at 08:37 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 : 900
Unique Edges : 3955
Edges With Duplicates : 5178
Total Edges : 9133
Self-Loops : 490
Reciprocated Vertex Pair Ratio : 0.0850219344056821
Reciprocated Edge Ratio : 0.156719291490181
Connected Components : 12
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 887
Maximum Edges in a Connected Component : 9120
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.749937
Graph Density : 0.0064194784328266
Modularity : 0.241835
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[192] britishhivassoc,#bhiva2019 [191] u,u [184] living,hiv [158] #bhiva2019,britishhivassoc [139] people,living [133] valerie,delpech [127] sexual,health [118] viral,load [111] black,african [106] women,hiv Top Word Pairs in Tweet in G1:
[84] britishhivassoc,#bhiva2019 [72] #bhiva2019,britishhivassoc [62] u,u [47] living,hiv [45] valerie,delpech [43] living,#hiv [43] black,african [43] hiv,testing [42] viral,load [40] sexual,health Top Word Pairs in Tweet in G2:
[105] living,hiv [87] women,hiv [77] people,living [66] sexual,health [66] trans,people [56] u,u [56] britishhivassoc,#bhiva2019 [56] quality,life [51] people,hiv [48] hiv,care Top Word Pairs in Tweet in G3:
[23] britishhivassoc,#bhiva2019 [20] valerie,delpech [17] delpech,phe_uk [16] black,african [15] find,out [15] u,u [14] african,women [13] living,hiv [13] #bhiva2019,britishhivassoc [13] living,#hiv Top Word Pairs in Tweet in G4:
[39] u,u [38] #bhiva2019,britishhivassoc [31] viral,load [28] #uequalsu,#bhiva2019 [25] loud,clear [25] clear,#languagematters [25] #languagematters,#uequalsu [25] britishhivassoc,preventionac [25] preventionac,br999 [25] br999,cdc_hivaids Top Word Pairs in Tweet in G5:
[14] central,asia [12] new,#hiv [12] #hiv,diagnoses [11] #europe,track [11] track,end [11] end,#hiv [11] #hiv,substantial [11] substantial,progress [11] progress,towards [11] towards,909090 Top Word Pairs in Tweet in G6:
[11] london,uk [10] kellyobrien25,rhardingcsi [8] hiv,#disability [8] #disability,questionnaire [8] #rehabhiv,#globalpt [7] happy,present [7] present,#rehabhiv [7] #rehabhiv,poster [7] poster,#bhiva2019 [7] #bhiva2019,#disability Top Word Pairs in Tweet in G7:
[4] whole,system [4] session,#bhiva2019 [4] discussing,today [4] today,spain [4] spain,#jornadasong2019 [4] #jornadasong2019,seisida [4] seisida,tonipoveda [4] tonipoveda,benidormjose [4] benidormjose,cesida_esp [4] cesida_esp,#bhiva2019 Top Word Pairs in Tweet in G9:
[5] 2,drug [4] britishhivassoc,#bhiva2019 [4] infectious,diseases [4] diseases,registrar [4] registrar,dr [4] dr,jennifer [4] jennifer,hart [4] hart,royalfreenhs [4] royalfreenhs,gets [4] gets,highly Top Word Pairs in Tweet in G10:
[10] u,u [3] u,bring [3] bring,back [3] back,happiness [3] happiness,such [3] such,interesting [3] interesting,presentation [3] presentation,mmc_cnwl [3] mmc_cnwl,knowledge [3] knowledge,impact 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 G7:
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 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: