The graph represents a network of 8,526 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, 29 November 2021 at 03:02 UTC.
The requested start date was Monday, 29 November 2021 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 3-day, 18-hour, 58-minute period from Wednesday, 24 November 2021 at 17:11 UTC to Sunday, 28 November 2021 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 : 8526
Unique Edges : 4522
Edges With Duplicates : 10786
Total Edges : 15308
Number of Edge Types : 5
Tweet : 1616
Retweet : 4961
MentionsInRetweet : 5933
Replies to : 932
Mentions : 1866
Self-Loops : 1689
Reciprocated Vertex Pair Ratio : 0.0159542077700645
Reciprocated Edge Ratio : 0.031407336370175
Connected Components : 1684
Single-Vertex Connected Components : 681
Maximum Vertices in a Connected Component : 3204
Maximum Edges in a Connected Component : 7436
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.351401
Graph Density : 0.000114770551764037
Modularity : 0.563591
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,526 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, 29 November 2021 at 03:02 UTC.
The requested start date was Monday, 29 November 2021 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 3-day, 18-hour, 58-minute period from Wednesday, 24 November 2021 at 17:11 UTC to Sunday, 28 November 2021 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:
[3370] hiv,aids [739] south,africa [672] freddie,mercury [582] africa,botswana [576] botswana,exceptional [576] exceptional,sequencing [576] sequencing,capabilities [576] capabilities,due [576] due,countries [576] countries,histories Top Word Pairs in Tweet in G1:
[492] hiv,aids [57] aids,day [52] world,aids [45] #hiv,#aids [43] aids,hiv [35] aids,patient [32] untreated,hiv [30] possibly,untreated [29] evolved,during [29] chronic,infection Top Word Pairs in Tweet in G2:
[612] south,africa [557] hiv,aids [546] africa,botswana [546] botswana,exceptional [546] exceptional,sequencing [546] sequencing,capabilities [546] capabilities,due [546] due,countries [546] countries,histories [546] histories,hiv Top Word Pairs in Tweet in G3:
[63] aids,day [61] world,aids [51] hiv,aids [39] living,hiv [31] pandemic,responses [31] responses,focus [31] focus,vulnerable [31] vulnerable,affected [31] affected,setting [31] setting,including Top Word Pairs in Tweet in G4:
[326] watching,brilliant [326] freddie,mercury [309] aids,hiv [308] ve,watching [308] brilliant,bbc2 [308] bbc2,doc [308] doc,freddie [308] mercury,aids [308] hiv,80s [308] 80s,90s Top Word Pairs in Tweet in G5:
[189] daddyhope,dr [189] dr,mati [189] mati,hlatshwayo [189] hlatshwayo,davis [189] davis,director [189] director,health [189] health,city [189] city,st [189] st,louis [189] louis,dr Top Word Pairs in Tweet in G6:
[185] tops,hiv [185] hiv,population [185] population,ghana [185] ghana,aids [185] aids,commission [185] commission,ashanti [185] ashanti,73 [185] 73,245 [185] 245,accra [185] accra,70 Top Word Pairs in Tweet in G7:
[129] hiv,aids [108] birthday,run [78] kabaka's,birthday [55] against,hiv [41] run,theme [39] aids,men [32] fight,against [27] aids,save [25] kabaka,birthday [25] fighting,hiv Top Word Pairs in Tweet in G8:
[109] yes,much [109] much,joke [109] joke,afford [109] afford,data [109] data,public [109] public,accurate [109] accurate,winning [109] winning,short [109] short,term [109] term,geopolitical Top Word Pairs in Tweet in G9:
[119] freddie,mercury [118] 30,years [115] years,ago [115] ago,today [115] today,queen [115] queen,frontman [115] frontman,freddie [115] mercury,died [115] died,complications [115] complications,aids Top Word Pairs in Tweet in G10:
[104] hiv,aids [90] thabo,mbeki [89] mbeki,manto [89] manto,tshabalala [89] tshabalala,msimang [88] remember,thabo [88] msimang,bizarre [88] bizarre,theories [88] theories,hiv [88] aids,virus 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: