The graph represents a network of 2,577 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 Sunday, 27 October 2019 at 03:31 UTC.
The requested start date was Sunday, 27 October 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 39-day, 11-hour, 56-minute period from Monday, 16 September 2019 at 07:50 UTC to Friday, 25 October 2019 at 19:47 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 : 2577
Unique Edges : 3120
Edges With Duplicates : 1285
Total Edges : 4405
Number of Edge Types : 3
Tweet : 724
Mentions : 3531
Replies to : 150
Self-Loops : 724
Reciprocated Vertex Pair Ratio : 0.0449671393981321
Reciprocated Edge Ratio : 0.0860642171466402
Connected Components : 569
Single-Vertex Connected Components : 276
Maximum Vertices in a Connected Component : 629
Maximum Edges in a Connected Component : 1669
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.876127
Graph Density : 0.000455082827786173
Modularity : 0.682115
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,577 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 Sunday, 27 October 2019 at 03:31 UTC.
The requested start date was Sunday, 27 October 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 39-day, 11-hour, 56-minute period from Monday, 16 September 2019 at 07:50 UTC to Friday, 25 October 2019 at 19:47 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:
[972] world,aids [919] aids,day [230] red,run [152] day,red [114] hiv,aids [89] fight,against [89] against,hiv [86] red,ribbon [86] world,arthritis [86] arthritis,day Top Word Pairs in Tweet in G1:
[128] world,aids [126] aids,day [14] hiv,aids [12] george,w [12] w,bush [11] bono,ve [11] ve,grown [11] grown,very [11] very,fond [11] fond,george Top Word Pairs in Tweet in G2:
[259] world,aids [257] aids,day [202] red,run [143] day,red [79] ride,ribbon [74] 25,mile [69] 30,nov [60] saturday,30th [55] sat,30 [53] mile,london Top Word Pairs in Tweet in G3:
[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 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:
[78] #wadden,#werelderfgoed [78] #werelderfgoed,#waddenzee [78] #waddenzee,#wad [76] #waddenkust,#dezeekust [76] #dezeekust,#wadden [66] aan,#waddenkust [57] #wad,#fryslân [37] #dutchsunset,#zonsondergang [37] #zonsondergang,aan [34] #fryslân,#wolkenlucht Top Word Pairs in Tweet in G6:
[64] world,aids [64] aids,day [27] nat_aids_trust,world [17] hiv,stigma [16] gala,world [16] day,back [15] day,weeks [15] weeks,away [15] away,looking [15] looking,forward Top Word Pairs in Tweet in G7:
[23] world,aids [20] aids,day [16] communities,make [16] make,difference [11] important,message [11] day,world [11] thank,mac [11] mac,partnership [11] living,hiv [10] museminalir,important 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] #wad,#waddefilm [12] van,rubensmitnatuur [8] achter,schermen [7] rubensmitnatuur,#wad [7] schermen,bij [7] bij,natuurfilm [7] adembenemend,mooi [6] zondag,20 [6] npo1,bnnvara [6] #wad,film Top Word Pairs in Tweet in G10:
[51] graham,norton [49] bbc,impartiality [49] impartiality,rules [49] rules,mean [49] mean,everyone [49] everyone,wear [49] wear,poppy [49] poppy,graham [49] norton,told [49] told,wearing 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: