The graph represents a network of 8,286 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, 13 June 2022 at 02:27 UTC.
The requested start date was Monday, 13 June 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, 4-hour, 33-minute period from Tuesday, 07 June 2022 at 07:36 UTC to Sunday, 12 June 2022 at 12:10 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 : 8286
Unique Edges : 6378
Edges With Duplicates : 10935
Total Edges : 17313
Number of Edge Types : 5
Tweet : 1974
Retweet : 4142
MentionsInRetweet : 6302
Mentions : 3681
Replies to : 1214
Self-Loops : 2052
Reciprocated Vertex Pair Ratio : 0.0208722399209052
Reciprocated Edge Ratio : 0.0408909932207038
Connected Components : 1881
Single-Vertex Connected Components : 835
Maximum Vertices in a Connected Component : 2860
Maximum Edges in a Connected Component : 9143
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.947436
Graph Density : 0.000135368773935896
Modularity : 0.544717
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,286 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, 13 June 2022 at 02:27 UTC.
The requested start date was Monday, 13 June 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, 4-hour, 33-minute period from Tuesday, 07 June 2022 at 07:36 UTC to Sunday, 12 June 2022 at 12:10 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:
[3387] hiv,aids [350] #hiv,#aids [292] #onomatomania,#gurusiyagmahaprayan [219] aids,hiv [195] #aids,#hiv [176] living,hiv [173] photo,#gurusiyag [173] #gurusiyag,induce [173] yogic,movements [173] movements,postures Top Word Pairs in Tweet in G1:
[675] hiv,aids [56] aids,hiv [50] lgbtq,community [48] nancy,reagan [44] stamp,prompted [44] prompted,backlash [43] here's,nancy [43] reagan,stamp [42] backlash,lgbtq [36] aids,awareness Top Word Pairs in Tweet in G2:
[183] hiv,aids [63] hiv,prevention [60] declaration,commitment [59] commitment,hiv [49] help,improve [46] access,taking [46] taking,prep [43] improve,#prep [43] #prep,access [43] prep,hiv Top Word Pairs in Tweet in G3:
[273] hiv,aids [161] #hiv,#aids [63] impacted,hiv [62] region,more [62] more,impacted [62] aids,african [62] african,region [62] region,next [62] next,month [62] month,aids_conference Top Word Pairs in Tweet in G4:
[275] #onomatomania,#gurusiyagmahaprayan [155] #aids,#hiv [152] photo,#gurusiyag [152] #gurusiyag,induce [152] yogic,movements [152] movements,postures [152] postures,locks [151] locks,breathing [143] breathing,exercises [142] #meditation,#asap Top Word Pairs in Tweet in G5:
[95] hiv,aids [47] ryan,white [47] white,hiv [40] aids,prgm [26] hrsagov,#hrsahonorshivsurvivors [21] aids,memorial [15] #hrsahonorshivsurvivors,shawnte [15] shawnte,spriggs [15] spriggs,writer [15] writer,ryan Top Word Pairs in Tweet in G6:
[9] hiv,aids [4] hiv,infection [4] mrdannyteal,pyattamelia [4] pyattamelia,mr_magoo5 [4] mr_magoo5,opinionated53 [4] opinionated53,knight2archer [4] knight2archer,notmymonkey77 [4] notmymonkey77,crazycdn2 [4] helenjaneadkins,5shezz4 [4] 5shezz4,fredeast11 Top Word Pairs in Tweet in G7:
[63] affordable,housing [49] housing,truly [49] truly,affordable [49] affordable,very [49] very,affordable [49] affordable,don [49] don,neighborhood [48] marketurbanism,affordable [24] hiv,aids [15] kyron,callenlorde Top Word Pairs in Tweet in G8:
[28] hiv,aids [16] aids,pandemic [16] francescoesp33,inwuchang [16] inwuchang,stuartjdneil [13] graybea71861266,francescoesp33 [12] stuartjdneil,_everythingism [12] _everythingism,past_is_future [9] ridley,defend [9] defend,idea [8] idea,hiv Top Word Pairs in Tweet in G9:
[29] hiv,aids [16] hiv,infections [15] reduction,hiv [15] infections,fast [15] fast,enough [15] enough,achieve [15] achieve,goal [15] goal,ending [15] ending,aids [15] aids,public Top Word Pairs in Tweet in G10:
[76] hiv,aids [59] aids,beatable [59] beatable,today [59] today,#ncahaad [59] #ncahaad,take [59] take,control [59] control,health [59] health,tests [59] tests,treatments [59] treatments,available Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: