The graph represents a network of 8,461 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, 25 April 2022 at 02:23 UTC.
The requested start date was Monday, 25 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 4-day, 12-hour, 1-minute period from Wednesday, 20 April 2022 at 00:04 UTC to Sunday, 24 April 2022 at 12:06 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 : 8461
Unique Edges : 6333
Edges With Duplicates : 11786
Total Edges : 18119
Number of Edge Types : 5
Retweet : 5189
MentionsInRetweet : 8325
Replies to : 966
Mentions : 2331
Tweet : 1308
Self-Loops : 1375
Reciprocated Vertex Pair Ratio : 0.0128578132332238
Reciprocated Edge Ratio : 0.0253891771682728
Connected Components : 1325
Single-Vertex Connected Components : 501
Maximum Vertices in a Connected Component : 3750
Maximum Edges in a Connected Component : 10886
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.238192
Graph Density : 0.000150768244675961
Modularity : 0.563301
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,461 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, 25 April 2022 at 02:23 UTC.
The requested start date was Monday, 25 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 4-day, 12-hour, 1-minute period from Wednesday, 20 April 2022 at 00:04 UTC to Sunday, 24 April 2022 at 12:06 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:
[2405] hiv,aids [1838] years,ago [1827] took,place [1826] 30,years [1826] ago,today [1823] unbelievably,performance [1823] performance,took [1823] today,performing [1823] performing,under [1823] under,pressure Top Word Pairs in Tweet in G1:
[1815] 30,years [1814] unbelievably,performance [1814] performance,took [1814] took,place [1814] place,30 [1814] years,ago [1814] ago,today [1814] today,performing [1814] performing,under [1814] under,pressure Top Word Pairs in Tweet in G2:
[141] #hiv,#aids [85] hiv,aids [48] #aids,#性感染症 [48] #性感染症,#hivboshi [43] people,living [38] living,hiv [29] calum,douglas [24] stigma,discrimination [23] #aids,#hiv [21] aids,related Top Word Pairs in Tweet in G3:
[406] hiv,aids [48] aids,hiv [48] fighting,stigma [24] covid,19 [16] aids,malaria [16] aids,epidemic [14] #hiv,#aids [13] living,hiv [13] malaria,tuberkulose [12] setze,ende Top Word Pairs in Tweet in G4:
[201] jk_rowling,jebadoo2 [198] gay,men [198] trans,women [195] katymontgomerie,jk_rowling [195] jebadoo2,one [195] one,point [195] point,aids [195] aids,killed [195] killed,10 [195] 10,gay Top Word Pairs in Tweet in G5:
[251] hiv,aids [223] born,hiv [223] aids,age [223] age,fungus [223] fungus,brain [223] brain,blood [223] blood,infections [223] infections,etc [223] etc,told [222] sports_doctor2,born Top Word Pairs in Tweet in G6:
[228] hiv,aids [189] kenya,hiv [183] condom,adverts [183] adverts,one [183] one,people [183] people,kenya [183] aids,saa [183] saa,hiyo [183] hiyo,mko [183] mko,wawili Top Word Pairs in Tweet in G7:
[90] musicquestmike,ebonyjhilton_md [89] ebonyjhilton_md,something [89] something,think [89] think,hiv [89] hiv,flu [89] flu,symptoms [89] symptoms,aids [89] aids,years [89] years,later [89] later,covid Top Word Pairs in Tweet in G8:
[75] rfk,jr [74] chapter,rfk [74] jr,book [74] book,downright [74] downright,infuriating [74] infuriating,read [74] read,didn [74] didn,expect [74] expect,aids [74] aids,denial Top Word Pairs in Tweet in G9:
[175] gay,bisexual [175] bisexual,men [87] hiv,continues [87] continues,disproportionately [87] disproportionately,afect [87] afect,gay [87] men,nearly [87] nearly,330 [87] 330,000 [87] 000,gay Top Word Pairs in Tweet in G10:
[49] hiv,aids [43] jim_jordan,fauci [42] michell39615704,jim_jordan [42] fauci,advised [42] advised,seven [42] seven,presidents [42] presidents,hiv [42] aids,many [42] many,domestic [42] domestic,global 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 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: