The graph represents a network of 8,419 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, 26 December 2022 at 03:24 UTC.
The requested start date was Monday, 26 December 2022 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 5-day, 23-hour, 35-minute period from Monday, 19 December 2022 at 12:32 UTC to Sunday, 25 December 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 : 8419
Unique Edges : 4845
Edges With Duplicates : 10849
Total Edges : 15694
Number of Edge Types : 5
Tweet : 1926
Retweet : 4432
MentionsInRetweet : 5390
Replies to : 1199
Mentions : 2747
Self-Loops : 2018
Reciprocated Vertex Pair Ratio : 0.014017521902378
Reciprocated Edge Ratio : 0.0276474944458158
Connected Components : 1820
Single-Vertex Connected Components : 817
Maximum Vertices in a Connected Component : 3040
Maximum Edges in a Connected Component : 7540
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.957843
Graph Density : 0.000114320155868238
Modularity : 0.538486
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,419 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, 26 December 2022 at 03:24 UTC.
The requested start date was Monday, 26 December 2022 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 5-day, 23-hour, 35-minute period from Monday, 19 December 2022 at 12:32 UTC to Sunday, 25 December 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:
[3710] hiv,aids [430] covid,19 [275] four,decades [275] aids,ebola [273] ebola,covid [272] under,seven [271] close,four [271] 19,close [271] decades,under [271] seven,republican Top Word Pairs in Tweet in G1:
[587] hiv,aids [72] aids,hiv [70] #hiv,#aids [35] living,hiv [27] aids,awareness [24] dezembro,vermelho [24] covid,19 [22] #aids,#hiv [20] 12,12 [20] hiv,virus Top Word Pairs in Tweet in G2:
[218] women,girls [209] violence,against [209] preventing,hiv [208] won,gains [208] against,women [208] vulnerability,hiv [208] increases,vulnerability [208] undermines,hard [208] hiv,undermines [208] hard,won Top Word Pairs in Tweet in G3:
[176] hiv,causes [148] cells,hiv [141] virus,attacks [141] attacks,kills [141] kills,cells [136] hiv,aids [131] 'the,virus [130] enemyinastate,'the [129] covid,infects [117] causes,aids Top Word Pairs in Tweet in G4:
[273] hiv,aids [267] republican,democratic [267] close,four [267] under,seven [267] four,decades [267] 19,close [267] covid,19 [267] seven,republican [267] aids,ebola [267] decades,under Top Word Pairs in Tweet in G5:
[198] licensed,cannabis [198] excited,first [198] re,excited [198] dispensary,advance [198] first,licensed [198] work,supporting [198] cannabis,retailer [198] retailer,york [198] york,dispensary [198] advance,work Top Word Pairs in Tweet in G6:
[173] medyczne,świadczenia [173] nie,będzie [173] programy,leczenia [173] ratownictwo,medyczne [173] za,ratownictwo [173] świadczenia,wysokospecjalistyczne [173] wysokospecjalistyczne,programy [173] budżet,państwa [173] będzie,płacić [173] państwa,nie Top Word Pairs in Tweet in G7:
[158] elected,height [157] aids,denialism [157] mbeki,re [157] denialism,zuma [157] down,hiv [157] zuma,elected [157] doubling,down [157] height,rape [157] re,elected [157] rape,allegations Top Word Pairs in Tweet in G8:
[126] hiv,aids [36] people,living [28] living,hiv [15] aids,uganda [15] behavioral,problem [14] go,look [14] doesn,look [14] remarks,hiv [14] related,stigma [14] kagutamuseveni,remarks Top Word Pairs in Tweet in G9:
[56] hiv,aids [17] partnership,#pepfar [17] close,collaboration [17] made,significant [17] alone,close [17] #pepfar,made [17] progress,toward [17] one,entity [17] collaboration,partnership [17] entity,#endaids Top Word Pairs in Tweet in G10:
[34] fight,against [31] aids,day [31] world,aids [29] hiv,aids [28] against,hiv [27] #hiv,#aids [26] addressing,inequalities [26] spreading,awareness [26] day,day [26] awareness,supporting Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: