The graph represents a network of 7,977 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, 23 May 2022 at 02:23 UTC.
The requested start date was Monday, 23 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, 8-hour, 25-minute period from Thursday, 19 May 2022 at 03:42 UTC to Sunday, 22 May 2022 at 12:08 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 : 7977
Unique Edges : 4267
Edges With Duplicates : 12993
Total Edges : 17260
Number of Edge Types : 5
MentionsInRetweet : 7817
Replies to : 870
Mentions : 1900
Retweet : 5351
Tweet : 1322
Self-Loops : 1366
Reciprocated Vertex Pair Ratio : 0.0111332473924763
Reciprocated Edge Ratio : 0.0220213259156236
Connected Components : 1374
Single-Vertex Connected Components : 554
Maximum Vertices in a Connected Component : 2765
Maximum Edges in a Connected Component : 9366
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.918259
Graph Density : 0.000135608027542575
Modularity : 0.505937
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,977 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, 23 May 2022 at 02:23 UTC.
The requested start date was Monday, 23 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, 8-hour, 25-minute period from Thursday, 19 May 2022 at 03:42 UTC to Sunday, 22 May 2022 at 12:08 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:
[3643] hiv,aids [1004] multiple,countries [1004] disease,never [1004] seen,before [1003] monkeypox,multiple [1003] countries,once [1003] once,links [1003] links,one [1003] one,another [1003] another,widespread Top Word Pairs in Tweet in G1:
[985] monkeypox,multiple [985] multiple,countries [985] countries,once [985] once,links [985] links,one [985] one,another [985] another,widespread [985] widespread,disease [985] disease,never [985] never,seen Top Word Pairs in Tweet in G2:
[656] depois,toda [656] toda,violência [656] violência,perseguição [656] perseguição,ostracização [656] ostracização,comunidade [656] comunidade,lgbt [656] lgbt,epidemia [656] epidemia,hiv [656] hiv,aids [656] aids,anos Top Word Pairs in Tweet in G3:
[496] hiv,aids [193] pacific,islander [192] asian,pacific [130] awareness,day [124] aids,awareness [116] islander,hiv [114] national,asian [94] hiv,stigma [71] day,day [70] islander,communities Top Word Pairs in Tweet in G4:
[311] hiv,aids [273] asian,pacific [264] pacific,islander [212] aids,awareness [209] islander,hiv [206] awareness,day [198] national,asian [107] day,day [104] #hiv,#aids [94] today,national Top Word Pairs in Tweet in G5:
[165] 80,million [165] million,pepfar [164] pepfar,funding [159] united,states [159] including,12 [158] today,united [158] states,announced [158] announced,plans [158] plans,provide [158] provide,80 Top Word Pairs in Tweet in G6:
[296] #gurudev,#siyag's [289] #yoga4stressfreelife,#gurudev [261] #siddhayoga,#kundalini [254] #siyag's,#siddhayoga [197] #kundalini,#awakeningduring [91] #addiction,#diseases [91] #diseases,#stress [91] #stress,#anxiety [91] #anxiety,#depression [91] #depression,#hiv Top Word Pairs in Tweet in G7:
[223] เร,องฝ [223] องฝ,ดาษล [223] ดาษล,งท [223] งท,ตอนน [223] ตอนน,พบผ [223] พบผ,ต [223] ต,ดเช [223] ดเช,อส [223] อส,วนใหญ [223] วนใหญ,เป Top Word Pairs in Tweet in G8:
[40] hiv,aids [22] living,hiv [13] david,mellor [13] covid,vaccines [13] vaccines,developed [13] developed,lightning [13] lightning,speed [12] long,acting [12] speed,hiv [12] aids,vaccine Top Word Pairs in Tweet in G9:
[152] yg,udah [146] hiv,aids [76] buat,yg [76] udah,vaksen [76] vaksen,terutama [76] terutama,yg [76] udah,boo5ter [76] boo5ter,coba [76] coba,aja [76] aja,lakuin Top Word Pairs in Tweet in G10:
[137] hiv,aids [127] historical,reminder [127] reminder,hiv [127] aids,origin [127] origin,blamed [127] blamed,apes [126] liz_churchill_,historical [16] cause,death [8] according,hiv [8] aids,leading Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: