The graph represents a network of 8,756 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, 16 August 2021 at 01:59 UTC.
The requested start date was Monday, 16 August 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 3-day, 0-hour, 54-minute period from Tuesday, 10 August 2021 at 11:14 UTC to Friday, 13 August 2021 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 : 8756
Unique Edges : 4258
Edges With Duplicates : 11495
Total Edges : 15753
Number of Edge Types : 5
Replies to : 960
Retweet : 5359
MentionsInRetweet : 6345
Mentions : 1939
Tweet : 1150
Self-Loops : 1211
Reciprocated Vertex Pair Ratio : 0.0129129827826896
Reciprocated Edge Ratio : 0.0254967267715631
Connected Components : 1480
Single-Vertex Connected Components : 559
Maximum Vertices in a Connected Component : 3998
Maximum Edges in a Connected Component : 9017
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.44098
Graph Density : 0.000113581249271121
Modularity : 0.552469
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,756 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, 16 August 2021 at 01:59 UTC.
The requested start date was Monday, 16 August 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 3-day, 0-hour, 54-minute period from Tuesday, 10 August 2021 at 11:14 UTC to Friday, 13 August 2021 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:
[2633] hiv,aids [1741] keith,haring [1740] death,aids [1739] nails,inspired [1739] inspired,keith [1739] haring,unfinished [1739] unfinished,painting [1739] painting,one [1739] one,last [1739] last,pieces Top Word Pairs in Tweet in G1:
[1737] nails,inspired [1737] inspired,keith [1737] keith,haring [1737] haring,unfinished [1737] unfinished,painting [1737] painting,one [1737] one,last [1737] last,pieces [1737] pieces,painted [1737] painted,before Top Word Pairs in Tweet in G2:
[775] ryan,white [664] absolutely,obscene [664] obscene,ryan [664] white,teenage [664] teenage,hiv [664] hiv,victim [664] victim,faced [664] faced,ostracism [664] ostracism,school [663] philwmagness,absolutely Top Word Pairs in Tweet in G3:
[457] hiv,aids [46] aids,hiv [35] #hiv,#aids [27] covid,19 [19] living,hiv [19] view,article [14] people,hiv [14] aids,epidemic [13] people,living [11] hiv,infections Top Word Pairs in Tweet in G4:
[96] health,hiv [95] life,saving [95] hiv,services [94] fear,stigma [94] stigma,discrimination [94] discrimination,prevent [94] prevent,people [94] people,accessing [94] accessing,life [94] saving,health Top Word Pairs in Tweet in G5:
[60] hiv,aids [58] georgehousetrst,didn [58] didn,receive [58] receive,funding [58] funding,manchesterpride [58] manchesterpride,2019 [58] 2019,pride [58] pride,uncomfortable [57] anna_jameson_,georgehousetrst [40] lgbt,community Top Word Pairs in Tweet in G6:
[4] hiv,aids [2] cause,aids [2] skepticalmutant,sodthong66 [2] sodthong66,mike77463289 [2] mike77463289,tony__heller [2] tony__heller,gavleeham [2] gavleeham,tonybaduy [2] tonybaduy,shared_facts [2] shared_facts,worldfullofjunk [2] worldfullofjunk,mrdarcy1815 Top Word Pairs in Tweet in G7:
[156] hiv,aids [114] kama,hujai [114] hujai,google [114] google,signs [114] signs,za [114] za,pregnancy [114] pregnancy,ama [114] ama,hiv [114] aids,wewe [114] wewe,hujai Top Word Pairs in Tweet in G8:
[42] hiv,aids [18] aids,hiv [18] aids,medications [17] breakthrough,findings [17] findings,nanoparticle [17] nanoparticle,delivery [17] delivery,hiv [16] anybody,done [16] done,effected [16] effected,aids Top Word Pairs in Tweet in G9:
[38] cause,aids [29] hiv,cause [26] thabo,mbeki [25] mbeki,believed [25] believed,hiv [25] aids,refused [25] refused,nationwide [25] nationwide,rollout [25] rollout,antiretroviral [25] antiretroviral,drugs Top Word Pairs in Tweet in G10:
[26] ca,gov [26] gov,gavinnewsom [26] gavinnewsom,long [26] long,stood [26] stood,#lgbtq [26] #lgbtq,californians [26] californians,established [26] established,transgender [26] transgender,wellness [26] wellness,equity Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: