The graph represents a network of 3,373 Twitter users whose tweets in the requested range contained ""world aids day" OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 November 2019 at 03:31 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 47-day, 15-hour, 55-minute period from Monday, 16 September 2019 at 07:50 UTC to Saturday, 02 November 2019 at 23:46 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 : 3373
Unique Edges : 4122
Edges With Duplicates : 1766
Total Edges : 5888
Number of Edge Types : 3
Mentions : 4766
Tweet : 942
Replies to : 180
Self-Loops : 942
Reciprocated Vertex Pair Ratio : 0.0414322250639386
Reciprocated Edge Ratio : 0.0795677799607073
Connected Components : 673
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 999
Maximum Edges in a Connected Component : 2546
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.334654
Graph Density : 0.000358017175680576
Modularity : 0.676415
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,373 Twitter users whose tweets in the requested range contained "%22world aids day%22 OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 November 2019 at 03:31 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 47-day, 15-hour, 55-minute period from Monday, 16 September 2019 at 07:50 UTC to Saturday, 02 November 2019 at 23:46 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 : %22world aids day%22 OR #worldaidsday OR #worldaidsday20 OR #worldaidsday20 OR #wad OR #wad20 OR #wad2020
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1450] world,aids [1395] aids,day [282] red,run [184] day,red [162] hiv,aids [116] 2019,world [106] red,ribbon [99] fight,against [98] against,hiv [94] #werelderfgoed,#waddenzee Top Word Pairs in Tweet in G1:
[393] world,aids [392] aids,day [221] red,run [154] day,red [58] take,action [58] action,lace [58] lace,up [56] 30th,november [50] november,2019 [49] year's,world Top Word Pairs in Tweet in G2:
[168] world,aids [165] aids,day [20] hiv,aids [12] george,w [12] w,bush [11] #hiv,#aids [11] day,2019 [11] https,t [11] t,co [11] bono,ve Top Word Pairs in Tweet in G3:
[92] #wadden,#werelderfgoed [92] #werelderfgoed,#waddenzee [91] #waddenzee,#wad [90] #waddenkust,#dezeekust [90] #dezeekust,#wadden [78] aan,#waddenkust [67] #wad,#fryslân [48] #dutchsunset,#zonsondergang [43] #zonsondergang,aan [37] #fryslân,#wolkenlucht Top Word Pairs in Tweet in G4:
[71] world,arthritis [71] arthritis,day [37] 12th,october [37] day,#wad [30] october,world [30] #wad,#emeunet [30] #emeunet,works [30] works,everyday [30] everyday,world [30] world,very Top Word Pairs in Tweet in G5:
[26] world,aids [23] aids,day [19] communities,make [19] make,difference [12] save,date [11] important,message [11] day,world [11] thank,mac [11] mac,partnership [10] museminalir,important Top Word Pairs in Tweet in G6:
[35] #worldaidsday,#endaids [35] #endaids,#hiv [35] #hiv,https [35] https,t [35] t,co [18] tomhanks,streets [18] streets,philadelphia [18] philadelphia,bruce [18] bruce,springsteen [18] springsteen,#worldaidsday Top Word Pairs in Tweet in G7:
[80] world,aids [80] aids,day [72] adolescent,young [63] 2019,world [63] day,adolescent [54] encourage,participate [49] participate,2019 [48] child,between [48] between,age [48] age,14 Top Word Pairs in Tweet in G8:
[80] ride,ribbon [76] 25,mile [58] world,aids [58] 30,nov [57] aids,day [56] sat,30 [54] mile,london [54] london,loop [51] nov,25 [35] gt,ride Top Word Pairs in Tweet in G9:
[68] jason,kenney [35] mrdash109,chantalhbert [35] chantalhbert,torontostar [35] torontostar,jason [35] kenney,apologize [35] apologize,#hateful [35] #hateful,stance [35] stance,deprived [35] deprived,many [34] rolliespokes,mrdash109 Top Word Pairs in Tweet in G10:
[44] world,aids [44] aids,day [14] december,1st [11] living,hiv [10] hanneke,schuitemaker [10] hiv,diagnosis [9] over,100 [9] participants,over [9] over,80 [9] 80,countries Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: