The graph represents a network of 8,366 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, 07 March 2022 at 03:03 UTC.
The requested start date was Monday, 07 March 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 4-day, 19-hour, 14-minute period from Sunday, 27 February 2022 at 16:54 UTC to Friday, 04 March 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 : 8366
Unique Edges : 4991
Edges With Duplicates : 10760
Total Edges : 15751
Number of Edge Types : 5
Tweet : 1776
Replies to : 932
Mentions : 2444
Retweet : 4634
MentionsInRetweet : 5965
Self-Loops : 1841
Reciprocated Vertex Pair Ratio : 0.0165004748338082
Reciprocated Edge Ratio : 0.0324652575032115
Connected Components : 1715
Single-Vertex Connected Components : 724
Maximum Vertices in a Connected Component : 2133
Maximum Edges in a Connected Component : 5548
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.723708
Graph Density : 0.000122360752306428
Modularity : 0.562071
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,366 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, 07 March 2022 at 03:03 UTC.
The requested start date was Monday, 07 March 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 4-day, 19-hour, 14-minute period from Sunday, 27 February 2022 at 16:54 UTC to Friday, 04 March 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:
[3306] hiv,aids [744] aids,hiv [361] aids,research [338] remember,nicki [338] nicki,mac [338] mac,line [338] line,raised [338] raised,250 [338] 250,million [338] million,dollars Top Word Pairs in Tweet in G1:
[553] hiv,aids [79] aids,hiv [31] aids,awareness [29] awareness,day [27] covid,19 [25] #hiv,#aids [23] living,hiv [21] お知らせ,第11回aids文化フォーラムin京都の報告書 [21] 第11回aids文化フォーラムin京都の報告書,をhpに掲載しました [21] をhpに掲載しました,pdfです Top Word Pairs in Tweet in G2:
[100] hiv,aids [44] zero,discrimination [38] stigma,discrimination [25] people,living [25] laws,harm [21] living,affected [21] affected,hiv [20] 10,10 [20] today,#zerodiscriminationday [19] world,largest Top Word Pairs in Tweet in G3:
[338] remember,nicki [338] nicki,mac [338] mac,line [338] line,raised [338] raised,250 [338] 250,million [338] million,dollars [338] dollars,went [338] went,hiv [338] hiv,aids Top Word Pairs in Tweet in G4:
[126] #hiv,#aids [123] hiv,aids [72] living,hiv [71] people,living [48] housing,people [48] #性感染症,#hivboshi [46] #aids,#性感染症 [42] rest,state [42] state,housing [40] #aids,#hiv Top Word Pairs in Tweet in G5:
[284] lgbtq,child [284] child,80's [284] 80's,fighting [284] fighting,aids [284] aids,hiv [284] hiv,suppression [270] stand,jack [257] morethanmysle,lgbtq [246] suppression,stand [246] jack,afraid Top Word Pairs in Tweet in G6:
[208] ngayong,araw [208] araw,pinagdiriwang [208] pinagdiriwang,natin [208] natin,ang [208] ang,zero [208] zero,discrimination [208] discrimination,day [208] day,bilang [208] bilang,pagsuporta [208] pagsuporta,sa Top Word Pairs in Tweet in G7:
[7] hiv,aids [6] long,covid [3] bladdyblahblahb,rkaviate [3] rkaviate,erictopol [3] erictopol,blood [3] blood,clots [3] clots,virus [3] virus,persistent [3] persistent,virus [3] virus,wearing Top Word Pairs in Tweet in G8:
[111] hiv,aids [76] awareness,day [42] hiv,crime [40] crime,awareness [38] inaugural,hiv [38] hiv,criminalization [38] criminalization,laws [37] today,join [37] join,#hiv [37] #hiv,community Top Word Pairs in Tweet in G9:
[88] fora,moralismo [88] moralismo,nada [88] nada,justifica [88] justifica,desmonte [88] desmonte,políticas [88] políticas,prevenção [88] prevenção,ists [88] ists,sem [88] sem,falar [88] falar,fizeram Top Word Pairs in Tweet in G10:
[124] alexander,downer [124] downer,gave [124] gave,25 [124] 25,million [124] million,australian [124] australian,taxpayer [124] taxpayer,money [124] money,clinton [124] clinton,foundation [124] foundation,fight 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 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: