The graph represents a network of 5,936 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:32 UTC.
The tweets in the network were tweeted over the 1696-day, 7-hour, 48-minute period from Friday, 20 July 2018 at 16:11 UTC to Sunday, 12 March 2023 at 23:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5936
Unique Edges : 1583
Edges With Duplicates : 10472
Total Edges : 12055
Number of Edge Types : 9
Retweet : 4332
MentionsInRetweet : 4615
Replies to : 628
MentionsInReplyTo : 1746
Tweet : 412
Mentions : 239
Quote : 47
MentionsInQuote : 29
MentionsInQuoteReply : 7
Self-Loops : 553
Reciprocated Vertex Pair Ratio : 0.0183352263508032
Reciprocated Edge Ratio : 0.0360101975780752
Connected Components : 530
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 3616
Maximum Edges in a Connected Component : 7301
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.208024
Graph Density : 0.00017814281853957
Modularity : 0.442968
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,936 Twitter users whose recent tweets contained "HIV AIDS", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:32 UTC.
The tweets in the network were tweeted over the 1696-day, 7-hour, 48-minute period from Friday, 20 July 2018 at 16:11 UTC to Sunday, 12 March 2023 at 23:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[4374] hiv,aids [3478] patients,hiv [3477] hipaa,exists [3477] clinics,selling [3476] aids,tabloids [3476] thinking,hipaa [3476] tyleralbertario,thinking [3476] hospitals,clinics [3476] exists,hospitals [3476] selling,lists Top Word Pairs in Tweet in G1:
[3467] hiv,aids [3465] hipaa,exists [3465] tyleralbertario,thinking [3465] patients,hiv [3465] exists,hospitals [3465] thinking,hipaa [3465] clinics,selling [3465] aids,tabloids [3465] selling,lists [3465] hospitals,clinics Top Word Pairs in Tweet in G2:
[33] hiv,aids [15] girls,hiv [15] women,girls [14] aids,awareness [14] national,women [14] awareness,day [13] #internationalwomensday,world [13] equality,pressing [13] week,#internationalwomensday [13] world,right Top Word Pairs in Tweet in G3:
[78] hiv,aids [17] aids,hiv [11] #hiv,#aids [8] tested,hiv [8] positive,std [8] std,hiv [8] aids,single [8] date,positive [8] living,hiv [6] women,folk Top Word Pairs in Tweet in G4:
[69] hiv,aids [54] years,ago [54] africa,today [54] sentence,south [54] today,considered [54] ago,hiv [54] death,sentence [54] many,manageable [54] twenty,years [54] aids,death Top Word Pairs in Tweet in G5:
[70] hiv,aids [63] during,hiv [63] advocated,direct [63] illegal,squat [63] supported,illegal [63] hospices,during [63] action,defence [63] violent,action [63] direct,violent [63] aids,crisis Top Word Pairs in Tweet in G6:
[10] asymetrictrades,valzimmer2 [9] jamieaa_again,rt7683 [9] sense_strand,debunk_the_funk [9] debunk_the_funk,jamieaa_again [9] fckelonmusk1,asymetrictrades [9] rt7683,fckelonmusk1 [8] valzimmer2,alec_zeck [7] richgra11892932,sense_strand [5] alec_zeck,pchandr43659403 [4] jason_willz1,richgra11892932 Top Word Pairs in Tweet in G7:
[13] truepatriot627,thechiefnerd [13] hiv,aids [10] kary,mullis [9] robert,willner [6] willner,american [5] 65,heart [5] age,65 [5] attack,wikipedia [5] heart,attack [5] 95,age Top Word Pairs in Tweet in G8:
[23] ellenar28475343,pious [23] mike,showed [23] trump,before [23] showed,true [23] true,colors [23] before,holier [23] colors,aligned [23] victorshi2020,ellenar28475343 [23] aligned,trump [23] pious,mike Top Word Pairs in Tweet in G9:
[2] biondorama,cecinestpaspipe [2] veritasalways1,angry_pear_ [2] biotransviren,satanistfather [2] stitchingsin,carm5012 [2] cave_art_films,pomeraniangod [2] imjustherefun,fletcherkathy8 [2] radfemme74,witchygibson [2] smazeny_,gremozzerella [2] harveycuthbert3,xamethystbatata [2] ruprekt79,wrenwright Top Word Pairs in Tweet in G10:
[4] petermcavoy_,littlwritergir1 [4] littlwritergir1,hrt6017 [4] jbizzy6969,jalan21813286 [4] dirk_fasshauer,topps1959 [4] avatarmax123,nedorton [4] 2_drac,hamradiojoe [4] debodonnell18,itisjustmebabe [4] byted0wn,moglirocks [4] nedorton,trick_the_only [4] annettetremain,yourmomswatchin Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: