The graph represents a network of 17,067 Twitter users whose recent tweets contained "#WorldAIDSDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 December 2019 at 18:46 UTC.
The tweets in the network were tweeted over the 1-hour, 42-minute period from Sunday, 01 December 2019 at 16:29 UTC to Sunday, 01 December 2019 at 18:11 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 : 17067
Unique Edges : 24181
Edges With Duplicates : 4534
Total Edges : 28715
Self-Loops : 4403
Reciprocated Vertex Pair Ratio : 0.0100081514355584
Reciprocated Edge Ratio : 0.0198179617091871
Connected Components : 2661
Single-Vertex Connected Components : 1241
Maximum Vertices in a Connected Component : 10962
Maximum Edges in a Connected Component : 21012
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.704457
Graph Density : 7.65727694240341E-05
Modularity : 0.7432
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 17,067 Twitter users whose recent tweets contained "#WorldAIDSDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 December 2019 at 18:46 UTC.
The tweets in the network were tweeted over the 1-hour, 42-minute period from Sunday, 01 December 2019 at 16:29 UTC to Sunday, 01 December 2019 at 18:11 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 : TwitterSearch
Graph Term : #WorldAIDSDay
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3231] hiv,aids [2000] living,hiv [1837] today,#worldaidsday [1209] people,living [1155] remember,those [1025] million,people [925] #worldaidsday,remember [817] those,lost [794] world,aids [787] aids,day Top Word Pairs in Tweet in G1:
[724] hiv,aids [454] end,hiv [411] living,hiv [365] #worldaidsday,remember [319] people,living [306] #طارق_حام,د_متمرد [306] #d,ecember1st [306] ecember1st,#شخبار [306] #شخبار,الضغط [306] الضغط,#ديسم Top Word Pairs in Tweet in G2:
[377] people,living [311] hiv,aids [243] living,hiv [218] today,#worldaidsday [211] living,#hiv [185] million,people [171] life,saving [156] make,difference [146] communities,make [135] hiv,services Top Word Pairs in Tweet in G3:
[117] hiv,aids [100] world,aids [100] aids,day [100] #طارق_حام,د_متمرد [100] #d,ecember1st [100] ecember1st,#شخبار [100] #شخبار,الضغط [100] الضغط,#ديسم [100] #ديسم,بر [100] #الهلال_فريق_ياس,ر_القحطاني Top Word Pairs in Tweet in G4:
[207] hiv,aids [187] millions,vies [183] globalfund,et [180] ceux,qui [178] à,toutes [175] toutes,celles [175] celles,et [175] et,ceux [175] qui,sont [174] continue,#worldaidsday Top Word Pairs in Tweet in G5:
[267] those,lost [261] remember,those [200] lost,lives [135] hiv,aids [124] out,prep [120] hiv,transmissions [120] world,aids [120] aids,day [118] living,hiv [108] aids,related Top Word Pairs in Tweet in G6:
[454] hiv,aids [411] million,people [404] clinton,foundation [404] foundation,helped [404] helped,9 [404] 9,million [404] people,lower [404] lower,cost [404] cost,hiv [404] aids,medication Top Word Pairs in Tweet in G7:
[512] today,#worldaidsday [504] undetectable,untransmittable [504] hiv,criminalization [502] #worldaidsday,s [502] s,key [502] key,points [502] points,undetectable [502] untransmittable,hiv [502] criminalization,laws [502] laws,archaic Top Word Pairs in Tweet in G8:
[409] don,t [247] living,hiv [213] viral,load [210] load,undetectable [209] live,long [204] undetectable,means [203] pill,usually [203] usually,reminder [203] reminder,m [203] m,living Top Word Pairs in Tweet in G9:
[28] hiv,aids [18] gender,based [18] based,violence [15] #worldaidsday,madonna's [15] madonna's,life [15] today,#worldaidsday [14] living,hiv [11] #worldaidsday,recognize [11] people,living [10] madonna,included Top Word Pairs in Tweet in G10:
[76] día,mundial [73] personas,vih [72] lucha,contra [70] integrar,humanizar [70] #diamundialdelsida,#worldaidsday [69] también,visibiizar [69] visibiizar,integrar [69] hablamos,vih [69] vih,hablamos [69] hablamos,personas Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: