The graph represents a network of 8,679 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, 06 December 2021 at 03:04 UTC.
The requested start date was Monday, 06 December 2021 at 01:01 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, 1-hour, 42-minute period from Thursday, 02 December 2021 at 10:23 UTC to Sunday, 05 December 2021 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 : 8679
Unique Edges : 5004
Edges With Duplicates : 12163
Total Edges : 17167
Number of Edge Types : 5
MentionsInRetweet : 6809
Replies to : 585
Mentions : 2318
Retweet : 5369
Tweet : 2086
Self-Loops : 2214
Reciprocated Vertex Pair Ratio : 0.0125895125895126
Reciprocated Edge Ratio : 0.0248659746777689
Connected Components : 1918
Single-Vertex Connected Components : 778
Maximum Vertices in a Connected Component : 2481
Maximum Edges in a Connected Component : 6832
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.714674
Graph Density : 0.00011640232968236
Modularity : 0.537481
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,679 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, 06 December 2021 at 03:04 UTC.
The requested start date was Monday, 06 December 2021 at 01:01 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, 1-hour, 42-minute period from Thursday, 02 December 2021 at 10:23 UTC to Sunday, 05 December 2021 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:
[4165] hiv,aids [992] aids,day [979] world,aids [437] living,hiv [360] against,hiv [251] people,living [237] ebola,hiv [226] smallpox,word [226] word,polio [226] polio,anthrax Top Word Pairs in Tweet in G1:
[591] hiv,aids [126] aids,day [124] world,aids [102] living,hiv [66] 000,people [63] more,38 [63] 38,000 [63] people,jersey [63] jersey,living [53] fighting,stigma Top Word Pairs in Tweet in G2:
[531] hiv,aids [150] against,hiv [101] time,hiv [92] hiv,campaign [91] minister,health [90] launched,hiv [89] health,janeruth_aceng [81] hiv,services [81] risk,perception [78] raise,risk Top Word Pairs in Tweet in G3:
[180] hiv,aids [122] world,aids [122] aids,day [66] ending,hiv [54] tremendous,progress [54] progress,aids [54] aids,far [54] far,far [54] far,away [54] away,ending Top Word Pairs in Tweet in G4:
[60] hiv,aids [29] 30,years [27] trans,woman [27] woman,hiv [27] hiv,told [27] told,two [27] two,years [27] years,live [27] live,30 [27] years,later Top Word Pairs in Tweet in G5:
[226] smallpox,word [226] word,polio [226] polio,anthrax [226] anthrax,mumps [226] mumps,measles [226] measles,whooping [226] whooping,cough [226] cough,diphtheria [226] diphtheria,cholera [226] cholera,ebola Top Word Pairs in Tweet in G6:
[117] world,aids [117] aids,day [114] today,wore [114] wore,red [114] red,ribbon [114] ribbon,mark [114] mark,world [114] day,reminder [114] reminder,far [114] far,ve Top Word Pairs in Tweet in G7:
[110] fauci,fueled [110] fueled,anti [110] anti,gay [110] gay,fear [110] fear,outrageously [110] outrageously,wrong [110] wrong,public [110] public,statements [110] statements,1980s [110] 1980s,snake Top Word Pairs in Tweet in G8:
[80] hiv,aids [76] lives,lost [75] those,living [74] honored,continue [74] continue,tradition [74] tradition,#worldaidsday [74] #worldaidsday,remembering [74] remembering,lives [74] lost,hiv [74] aids,supporting Top Word Pairs in Tweet in G9:
[108] hiv,aids [91] rio,grande [91] grande,sul [89] epidemia,hiv [85] sul,vive [83] vive,uma [83] uma,epidemia [82] indicadores,estado [82] estado,superam [82] superam,média Top Word Pairs in Tweet in G10:
[23] hiv,aids [21] #hiv,#aids [17] call,national [17] national,#tollfree [13] clarifying,doubts [13] doubts,related [13] related,#hiv [13] #hiv,confidential [13] confidential,available [13] available,regional 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 G6:
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: