The graph represents a network of 5,655 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 Tuesday, 24 December 2019 at 21:03 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 9-hour, 55-minute period from Friday, 20 December 2019 at 15:05 UTC to Tuesday, 24 December 2019 at 01:00 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 : 5655
Unique Edges : 5902
Edges With Duplicates : 824
Total Edges : 6726
Number of Edge Types : 4
Tweet : 1293
MentionsInRetweet : 3877
Mentions : 1124
Replies to : 432
Self-Loops : 1293
Reciprocated Vertex Pair Ratio : 0.0138159174936758
Reciprocated Edge Ratio : 0.0272552783109405
Connected Components : 1227
Single-Vertex Connected Components : 605
Maximum Vertices in a Connected Component : 1453
Maximum Edges in a Connected Component : 2026
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.393567
Graph Density : 0.000162948103374777
Modularity : 0.81281
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,655 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 Tuesday, 24 December 2019 at 21:03 UTC.
The requested start date was Tuesday, 24 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 9-hour, 55-minute period from Friday, 20 December 2019 at 15:05 UTC to Tuesday, 24 December 2019 at 01:00 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:
[2901] hiv,aids [563] south,africa [552] kenya,nigeria [550] share,adults [550] adults,hiv [550] aids,2016 [550] 2016,swaziland [550] swaziland,27 [550] 27,south [550] africa,18 Top Word Pairs in Tweet in G1:
[465] hiv,aids [38] aids,hiv [35] #hiv,#aids [26] hari,ibu [23] cure,hiv [19] aids,awareness [19] pdi,perjuangan [18] living,hiv [17] aids,sedunia [16] memperingati,hari Top Word Pairs in Tweet in G2:
[554] hiv,aids [541] share,adults [541] adults,hiv [541] aids,2016 [541] 2016,swaziland [541] swaziland,27 [541] 27,south [541] south,africa [541] africa,18 [541] 18,zimbabwe Top Word Pairs in Tweet in G3:
[301] asyik,kutuk [301] kutuk,hiv [300] stop,retweeting [300] retweeting,certain [300] certain,diva [300] diva,punya [300] punya,tweets [300] tweets,dah [300] dah,lama [300] lama,block Top Word Pairs in Tweet in G4:
[221] hiv,aids [108] mc,kats [79] reactions,mc [79] kats,situation [79] situation,lot [79] lot,intensity [79] intensity,prevalence [79] prevalence,public [79] public,stigma [79] stigma,towards Top Word Pairs in Tweet in G5:
[173] hiv,aids [173] aids,thing [173] thing,man [173] man,don [173] don,play [173] play,life [173] life,quick [173] quick,fuck [172] venda_gawdess,hiv Top Word Pairs in Tweet in G6:
[31] worldwide,more [31] more,half [31] half,#hiv [31] #hiv,infections [31] infections,key [31] key,populations [31] populations,sexual [31] sexual,partners [31] partners,take [31] take,urgent Top Word Pairs in Tweet in G7:
[37] hiv,aids [13] aids,prevention [11] pepfar,provides [11] provides,critical [11] critical,care [11] care,support [11] support,more [11] more,million [11] million,orphans [11] orphans,vulnerable Top Word Pairs in Tweet in G8:
[76] meet,kedibone [76] kedibone,lekoto [76] lekoto,plant [76] plant,operator [76] operator,mogalakwena [76] mogalakwena,mine [76] mine,tested [76] tested,positive [76] positive,early [76] early,2000s Top Word Pairs in Tweet in G9:
[44] hiv,aids [37] hiv,itu [32] dengan,hiv [29] penyebab,kematian [29] kematian,seseorang [29] seseorang,dengan [29] hiv,bukanlah [29] bukanlah,karena [29] karena,virus [29] virus,hiv Top Word Pairs in Tweet in G10:
[13] people,living [12] hiv,aids [12] living,hiv [12] frontlines,early [11] early,aids [11] aids,epidemic [8] time,include [8] include,people [8] hiv,frontlines [6] epidemic,vanguard 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 G6:
Top Replied-To in G7:
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: