The graph represents a network of 3,378 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 Tuesday, 05 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 : 3378
Unique Edges : 4128
Edges With Duplicates : 1785
Total Edges : 5913
Number of Edge Types : 3
Mentions : 4788
Tweet : 944
Replies to : 181
Self-Loops : 944
Reciprocated Vertex Pair Ratio : 0.0413265306122449
Reciprocated Edge Ratio : 0.0793728564429201
Connected Components : 673
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 1004
Maximum Edges in a Connected Component : 2571
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.327845
Graph Density : 0.000357834569624596
Modularity : 0.679617
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,378 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 Tuesday, 05 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:
[1461] world,aids [1404] aids,day [283] red,run [185] 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:
[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 G2:
[379] world,aids [375] aids,day [259] red,run [170] day,red [83] ride,ribbon [81] 25,mile [78] 30,nov [71] saturday,30th [61] take,action [61] action,lace Top Word Pairs in Tweet in G3:
[123] world,aids [120] aids,day [30] hiv,undetectable [27] nat_aids_trust,world [24] gala,world [23] pre,order [22] now,available [22] available,pre [19] liamwaterloo,hello [19] undetectable,people Top Word Pairs in Tweet in G4:
[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 G5:
[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 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:
[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 G9:
[13] world,aids [13] aids,day [10] living,hiv [9] communities,make [9] make,difference [9] creating,warm [9] warm,chain [9] chain,support [9] support,ensure [9] ensure,women 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 G2:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: