The graph represents a network of 24 Twitter users whose recent tweets contained ""HIV test week" -#HIVTestweek -#GetTested -#CantPassItOn -#UequalsU", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 23 November 2019 at 14:16 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 22-minute period from Friday, 15 November 2019 at 10:26 UTC to Saturday, 23 November 2019 at 08:49 UTC.
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 : 24
Unique Edges : 32
Edges With Duplicates : 0
Total Edges : 32
Number of Edge Types : 3
Tweet : 10
Retweet : 8
Mentions : 14
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 12
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 15
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.878049
Graph Density : 0.0398550724637681
Modularity : 0.592773
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 24 Twitter users whose recent tweets contained ""HIV test week" -#HIVTestweek -#GetTested -#CantPassItOn -#UequalsU", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 23 November 2019 at 14:16 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 22-minute period from Friday, 15 November 2019 at 10:26 UTC to Saturday, 23 November 2019 at 08:49 UTC.
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 : TwitterSearch
Graph Term : "HIV test week" -#HIVTestweek -#GetTested -#CantPassItOn -#UequalsU
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 Color : Betweenness Centrality
Vertex Radius : Betweenness Centrality
Vertex Alpha : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[24] hiv,test [24] test,week [8] national,hiv [7] greenwood,supports [7] supports,thomas [7] thomas,hiv [5] pledged,support [5] week,undergoing [5] test,virus [4] week,willgreenwood Top Word Pairs in Tweet in G1:
[8] hiv,test [8] test,week [4] greenwood,supports [4] supports,thomas [4] thomas,hiv [4] week,willgreenwood [4] willgreenwood,pledged [4] pledged,support [4] support,gareththomas14 [4] gareththomas14,national Top Word Pairs in Tweet in G2:
[7] hiv,test [7] test,week [3] greenwood,supports [3] supports,thomas [3] thomas,hiv [2] national,hiv Top Word Pairs in Tweet in G3:
[3] guys,girls [3] girls,head [3] head,along [3] along,find [3] find,out [3] out,more [3] more,hiv [3] hiv,s [3] s,hiv [3] hiv,test Top Word Pairs in Tweet in G4:
[2] sussexroyal,gareththomasofficial [2] gareththomasofficial,explaining [2] explaining,importance [2] importance,knowing [2] knowing,status [2] status,thtorguk [2] thtorguk,hiv [2] hiv,test [2] test,week [2] week,everyone Top Word Pairs in Tweet in G5:
[2] during,hiv [2] hiv,test [2] test,week [2] week,know [2] know,didn [2] didn,t [2] t,anything [2] anything,support [2] support,yeah [2] yeah,know Top Word Pairs in Tweet in G6:
[2] s,national [2] national,hiv [2] hiv,test [2] test,week [2] week,re [2] re,giving [2] giving,hiv [2] hiv,finger [2] finger,#hivtestingweek Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
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: