The graph represents a network of 8,598 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, 10 May 2021 at 02:02 UTC.
The requested start date was Monday, 10 May 2021 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, 1-hour, 48-minute period from Wednesday, 05 May 2021 at 10:13 UTC to Sunday, 09 May 2021 at 12:02 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 : 8598
Unique Edges : 4817
Edges With Duplicates : 11466
Total Edges : 16283
Number of Edge Types : 5
Retweet : 5356
MentionsInRetweet : 7094
Tweet : 1298
Replies to : 698
Mentions : 1837
Self-Loops : 1356
Reciprocated Vertex Pair Ratio : 0.012495925241769
Reciprocated Edge Ratio : 0.0246834084567504
Connected Components : 1496
Single-Vertex Connected Components : 634
Maximum Vertices in a Connected Component : 3410
Maximum Edges in a Connected Component : 8483
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.649585
Graph Density : 0.000126060300656658
Modularity : 0.566228
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,598 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, 10 May 2021 at 02:02 UTC.
The requested start date was Monday, 10 May 2021 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, 1-hour, 48-minute period from Wednesday, 05 May 2021 at 10:13 UTC to Sunday, 09 May 2021 at 12:02 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:
[3540] hiv,aids [1052] vaccine,patents [1051] save,lives [1049] waiving,vaccine [1048] pharmaceutical,companies' [1047] know,waiving [1047] patents,save [1047] lives,without [1047] without,stifling [1047] stifling,pharmaceutical Top Word Pairs in Tweet in G1:
[1032] know,waiving [1032] waiving,vaccine [1032] vaccine,patents [1032] patents,save [1032] save,lives [1032] lives,without [1032] without,stifling [1032] stifling,pharmaceutical [1032] pharmaceutical,companies' [1032] companies',creativity Top Word Pairs in Tweet in G2:
[495] hiv,aids [83] î,î [63] #hiv,#aids [39] aids,hiv [35] living,hiv [27] covid,19 [20] #性感染症,#hivboshi [19] #aids,#性感染症 [15] aids,epidemic [13] ãƒ,ムTop Word Pairs in Tweet in G3:
[519] hiv,aids [511] joke,bufebe [511] bufebe,scared [511] scared,getting [511] getting,sick [511] sick,man's [511] man's,recklessness [511] recklessness,beyond [511] beyond,hiv [511] aids,std Top Word Pairs in Tweet in G4:
[438] hiv,aids [438] aids,patients [437] myanmar,junta [437] junta,arrests [437] arrests,three [437] three,hiv [437] patients,care [437] care,center [437] center,run [437] run,national Top Word Pairs in Tweet in G5:
[340] 2020,42 [340] 42,7m [340] 7m,abortions [340] abortions,performed [340] performed,worldwide [340] worldwide,2m [340] 2m,people [340] people,died [340] died,cancer [340] cancer,7m Top Word Pairs in Tweet in G6:
[89] hiv,aids [36] ending,gender [36] gender,inequality [36] inequality,discrimination [36] discrimination,punitive [36] punitive,legal [36] legal,policy [36] policy,environments [36] environments,front [36] front,centre Top Word Pairs in Tweet in G7:
[66] hiv,aids [38] minister,presidency [23] hon,mbayo_ [21] presidency,hon [21] candlelight,memorial [19] red,ribbon [17] addressed,media [17] media,forthcoming [17] forthcoming,candlelight [16] patrick,o'connell Top Word Pairs in Tweet in G8:
[52] far,more [50] voiding,patents [50] patents,#covid19 [50] #covid19,#vaccines [50] #vaccines,bring [50] bring,equitable [50] equitable,access [50] access,far [50] more,involved [50] involved,lead Top Word Pairs in Tweet in G9:
[32] hiv,aids [24] uk,aids [24] aids,memorial [24] many,first [24] first,time [14] raised,million [14] million,fight [14] fight,hiv [13] last,night [13] night,ejaf Top Word Pairs in Tweet in G10:
[140] keith,haring [140] hiv,aids [126] haring,63 [126] 63,today [126] today,die [126] die,hiv [126] aids,complications [126] complications,1990 [126] 1990,63 [126] 63,young Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: