The graph represents a network of 7,880 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, 12 September 2022 at 02:21 UTC.
The requested start date was Monday, 12 September 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, 7-hour, 25-minute period from Thursday, 08 September 2022 at 04:43 UTC to Sunday, 11 September 2022 at 12:09 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 : 7880
Unique Edges : 3566
Edges With Duplicates : 12044
Total Edges : 15610
Number of Edge Types : 5
Retweet : 5540
MentionsInRetweet : 6636
Tweet : 1417
Mentions : 1414
Replies to : 603
Self-Loops : 1485
Reciprocated Vertex Pair Ratio : 0.00481073553614382
Reciprocated Edge Ratio : 0.00957540632480786
Connected Components : 1400
Single-Vertex Connected Components : 728
Maximum Vertices in a Connected Component : 2127
Maximum Edges in a Connected Component : 4996
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.224254
Graph Density : 0.000127837733537006
Modularity : 0.532071
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,880 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, 12 September 2022 at 02:21 UTC.
The requested start date was Monday, 12 September 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, 7-hour, 25-minute period from Thursday, 08 September 2022 at 04:43 UTC to Sunday, 11 September 2022 at 12:09 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:
[3514] hiv,aids [1376] fall,ussr [1363] alive,1926 [1359] world,wars [1343] wars,fall [1338] witnessed,world [1313] ussr,birth [1295] period,witnessed [1231] 1926,period [1090] birth,israel Top Word Pairs in Tweet in G1:
[650] hiv,aids [272] world,wars [272] fall,ussr [268] witnessed,world [267] alive,1926 [264] wars,fall [263] atomic,bombs [261] ussr,birth [260] moon,landing [260] landing,hiv Top Word Pairs in Tweet in G2:
[610] federal,judge [609] judge,ruled [609] ruled,employers [609] employers,deny [609] deny,coverage [609] coverage,prep [608] today,radical [608] radical,republican [608] republican,appointed [608] appointed,federal Top Word Pairs in Tweet in G3:
[451] alive,1926 [451] world,wars [451] wars,fall [451] fall,ussr [406] 1926,period [406] period,witnessed [406] witnessed,world [406] ussr,birth [213] queen,elizabeth [213] elizabeth,alive Top Word Pairs in Tweet in G4:
[420] judge,ruled [420] ruled,employers [420] employers,deny [420] deny,coverage [420] coverage,prep [395] prevent,hiv [395] hiv,aids [394] gop,appointed [394] appointed,judge [394] prep,lifesaving Top Word Pairs in Tweet in G5:
[290] zuzusexytiems,redemptionarcs [189] happen,today [187] redemptionarcs,someone [187] someone,today [187] today,happen [187] today,happened [187] happened,understand [104] redemptionarcs,ps [104] ps,risking [104] risking,reputation Top Word Pairs in Tweet in G6:
[82] hiv,aids [21] living,hiv [20] south,africa [18] meet,gracious [18] gracious,legoathi [18] legoathi,gen [18] gen,advocate [18] advocate,sexual [18] sexual,reproductive [18] reproductive,health Top Word Pairs in Tweet in G7:
[193] powerful,message [193] message,world [193] world,momen [193] momen,ketika [193] ketika,dia [193] dia,menjabat [193] menjabat,tangan [193] tangan,dan [193] dan,berbicara [193] berbicara,dengan Top Word Pairs in Tweet in G8:
[174] hiv,aids [165] went,hard [165] hard,80s [165] 80s,90s [165] 90s,embracing [165] embracing,black [165] black,queer [165] queer,folks [165] folks,hiv [163] aids,worked Top Word Pairs in Tweet in G9:
[153] hiv,aids [150] aids,affect [150] affect,anyone [150] re,back [150] back,acting [150] acting,disease [150] disease,choosing [150] choosing,infect [150] infect,care [149] dariccott,hiv Top Word Pairs in Tweet in G10:
[182] hiv,aids [117] add,law [117] law,finally [117] finally,banned [117] banned,hiv [117] aids,discrimination [117] discrimination,equality [117] equality,act [117] act,2010 [116] tyleralbertario,add Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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:
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:
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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: