The graph represents a network of 8,791 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, 05 April 2021 at 01:27 UTC.
The requested start date was Monday, 05 April 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 4-day, 12-hour, 19-minute period from Wednesday, 31 March 2021 at 01:01 UTC to Sunday, 04 April 2021 at 13:20 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 : 8791
Unique Edges : 5485
Edges With Duplicates : 11764
Total Edges : 17249
Number of Edge Types : 5
Tweet : 1326
Retweet : 5206
MentionsInRetweet : 7368
Replies to : 934
Mentions : 2415
Self-Loops : 1412
Reciprocated Vertex Pair Ratio : 0.0122427983539095
Reciprocated Edge Ratio : 0.0241894501473727
Connected Components : 1557
Single-Vertex Connected Components : 610
Maximum Vertices in a Connected Component : 2977
Maximum Edges in a Connected Component : 7795
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 6.62697
Graph Density : 0.000127327967156399
Modularity : 0.565289
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 8,791 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, 05 April 2021 at 01:27 UTC.
The requested start date was Monday, 05 April 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 4-day, 12-hour, 19-minute period from Wednesday, 31 March 2021 at 01:01 UTC to Sunday, 04 April 2021 at 13:20 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:
[3468] hiv,aids [1217] demanding,ksh [1217] million,taxes [1216] arv,kenya [1216] kenya,know [1216] know,kracorporate [1216] kracorporate,demanding [1216] ksh,530 [1216] 530,million [1216] taxes,donors Top Word Pairs in Tweet in G1:
[1201] arv,kenya [1201] kenya,know [1201] know,kracorporate [1201] kracorporate,demanding [1201] demanding,ksh [1201] ksh,530 [1201] 530,million [1201] million,taxes [1201] taxes,donors [1201] donors,drugs Top Word Pairs in Tweet in G2:
[479] hiv,aids [59] covid,19 [57] aids,hiv [43] #hiv,#aids [31] pessoas,hiv [27] 19,pessoas [19] contra,covid [16] aids,também [16] também,terão [15] terão,prioridade Top Word Pairs in Tweet in G3:
[336] aids,hiv [333] everyone,aids [333] hiv,carry [333] carry,card [333] card,showing [333] showing,positive [333] positive,taking [333] taking,proper [333] proper,meds [333] meds,shouldn Top Word Pairs in Tweet in G4:
[221] hiv,aids [216] aids,stds [212] many,more [212] more,systemic [212] systemic,rape [212] rape,victims [212] massacres,enough [211] victims,infections [211] infections,hiv [211] stds,massacres Top Word Pairs in Tweet in G5:
[43] hiv,aids [34] lord,fowler [27] please,donate [27] stepping,down [25] gofundme,please [25] donate,share [25] share,together [25] together,remember [25] remember,loved [25] loved,ones Top Word Pairs in Tweet in G6:
[858] 2021,프라이드 [345] hiv,aids [327] aids,인식 [327] 인식,개선 [307] 개선,운동의 [306] 운동의,상징으로 [286] 프라이드,뱅글을 [286] 뱅글을,소개합니다 [286] 소개합니다,2021 [286] 프라이드,뱅글의 Top Word Pairs in Tweet in G7:
[207] hiv,aids [204] vivem,vírus [204] vírus,hiv [203] 18,59 [203] 59,anos [199] anos,idade [199] foram,incluídas [199] grupo,comorbidades [198] pessoas,18 [198] idade,vivem Top Word Pairs in Tweet in G8:
[74] low,middle [74] middle,income [60] 29,billion [57] billion,year [55] year,hiv [55] hiv,response [55] response,low [55] income,countries [53] investing,29 [51] unaids,report Top Word Pairs in Tweet in G9:
[62] hiv,aids [18] ending,hiv [16] #hiv,#aids [16] transgender,equity [16] equity,critical [16] critical,ending [16] hiv,epidemic [16] epidemic,aids_united [16] aids_united,#advocacy [12] मह,ल Top Word Pairs in Tweet in G10:
[87] hiv,aids [50] aids,awareness [49] awareness,day [48] national,youth [44] promote,#hiv [42] #hiv,prevention [42] youth,hiv [42] april,10 [41] dyk,national [41] day,april Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: