The graph represents a network of 8,662 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 Tuesday, 11 May 2021 at 02:03 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, 10-hour, 39-minute period from Wednesday, 05 May 2021 at 13:20 UTC to Sunday, 09 May 2021 at 23:59 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 : 8662
Unique Edges : 5135
Edges With Duplicates : 11279
Total Edges : 16414
Number of Edge Types : 5
Tweet : 1354
Retweet : 5234
MentionsInRetweet : 7100
Replies to : 767
Mentions : 1959
Self-Loops : 1415
Reciprocated Vertex Pair Ratio : 0.0142291644377875
Reciprocated Edge Ratio : 0.0280590717299578
Connected Components : 1570
Single-Vertex Connected Components : 661
Maximum Vertices in a Connected Component : 3368
Maximum Edges in a Connected Component : 8531
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.798167
Graph Density : 0.000126363637599644
Modularity : 0.569927
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,662 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 Tuesday, 11 May 2021 at 02:03 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, 10-hour, 39-minute period from Wednesday, 05 May 2021 at 13:20 UTC to Sunday, 09 May 2021 at 23:59 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:
[3230] hiv,aids [1125] vaccine,patents [1124] save,lives [1122] waiving,vaccine [1121] pharmaceutical,companies' [1120] know,waiving [1120] patents,save [1120] lives,without [1120] without,stifling [1120] stifling,pharmaceutical Top Word Pairs in Tweet in G1:
[1104] know,waiving [1104] waiving,vaccine [1104] vaccine,patents [1104] patents,save [1104] save,lives [1104] lives,without [1104] without,stifling [1104] stifling,pharmaceutical [1104] pharmaceutical,companies' [1104] companies',creativity Top Word Pairs in Tweet in G2:
[510] hiv,aids [65] #hiv,#aids [44] aids,hiv [34] living,hiv [25] covid,19 [21] #性感染症,#hivboshi [19] #aids,#性感染症 [17] aids,epidemic [14] std,hiv [13] test,kits Top Word Pairs in Tweet in G3:
[383] hiv,aids [378] joke,bufebe [378] bufebe,scared [378] scared,getting [378] getting,sick [378] sick,man's [378] man's,recklessness [378] recklessness,beyond [378] beyond,hiv [378] aids,std Top Word Pairs in Tweet in G4:
[341] 2020,42 [341] 42,7m [341] 7m,abortions [341] abortions,performed [341] performed,worldwide [341] worldwide,2m [341] 2m,people [341] people,died [341] died,cancer [341] cancer,7m Top Word Pairs in Tweet in G5:
[68] hiv,aids [38] minister,presidency [23] hon,mbayo_ [21] candlelight,memorial [21] presidency,hon [19] red,ribbon [17] addressed,media [17] media,forthcoming [17] forthcoming,candlelight [16] patrick,o'connell Top Word Pairs in Tweet in G6:
[88] hiv,aids [39] ending,gender [39] gender,inequality [39] inequality,discrimination [39] discrimination,punitive [39] punitive,legal [39] legal,policy [39] policy,environments [39] environments,front [39] front,centre Top Word Pairs in Tweet in G7:
[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 G8:
[188] hiv,aids [188] aids,patients [187] myanmar,junta [187] junta,arrests [187] arrests,three [187] three,hiv [187] patients,care [187] care,center [187] center,run [187] run,national Top Word Pairs in Tweet in G9:
[21] hiv,aids [15] excess,deaths [14] disruptions,services [14] services,#hiv [14] #hiv,aids [14] aids,potentially [14] potentially,result [14] result,many [14] many,five [14] five,hundred Top Word Pairs in Tweet in G10:
[32] hiv,aids [24] uk,aids [24] aids,memorial [24] many,first [24] first,time [16] raised,million [16] million,fight [16] fight,hiv [15] last,night [15] night,ejaf Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: