The graph represents a network of 16,776 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 17:23 UTC.
The tweets in the network were tweeted over the 1-hour, 42-minute period from Sunday, 01 December 2019 at 14:36 UTC to Sunday, 01 December 2019 at 16:19 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 : 16776
Unique Edges : 24260
Edges With Duplicates : 5394
Total Edges : 29654
Self-Loops : 4219
Reciprocated Vertex Pair Ratio : 0.0100811847622446
Reciprocated Edge Ratio : 0.0199611376081964
Connected Components : 2578
Single-Vertex Connected Components : 1244
Maximum Vertices in a Connected Component : 10797
Maximum Edges in a Connected Component : 22454
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.779915
Graph Density : 8.04641077630594E-05
Modularity : 0.714909
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 16,776 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 17:23 UTC.
The tweets in the network were tweeted over the 1-hour, 42-minute period from Sunday, 01 December 2019 at 14:36 UTC to Sunday, 01 December 2019 at 16:19 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:
[2644] hiv,aids [2365] living,hiv [1619] today,#worldaidsday [1610] people,living [1198] remember,those [860] end,hiv [830] don,t [799] aids,day [790] world,aids [787] those,lost Top Word Pairs in Tweet in G1:
[471] people,living [280] living,hiv [279] living,#hiv [271] million,people [236] hiv,aids [213] today,#worldaidsday [210] 9,million [210] hiv,virus [209] #hiv,end [206] 37,9 Top Word Pairs in Tweet in G2:
[689] hiv,aids [687] living,hiv [456] people,living [356] end,stigma [319] end,hiv [279] around,world [274] million,people [269] 40,million [269] hiv,around [269] world,#worldaidsday Top Word Pairs in Tweet in G3:
[226] #bts,atmma [226] #ca,f_referees_are_corrupt [226] f_referees_are_corrupt,#طارق_حام [226] #طارق_حام,د_متمرد [226] #شخبار,الضغط [226] الضغط,#ديسم [226] #ديسم,بر [226] #وش_نوع_قهوتك_الم,فضله [226] #س,نابات_هند_القحطاني [148] atmma,#c Top Word Pairs in Tweet in G4:
[442] today,#worldaidsday [411] hiv,stigma [406] #worldaidsday,s [406] untransmittable,hiv [405] s,key [405] key,points [405] points,undetectable [405] undetectable,untransmittable [405] hiv,criminalization [405] criminalization,laws Top Word Pairs in Tweet in G5:
[289] #worldaidsday,remember [227] living,hiv [198] living,#hiv [162] lost,aids [159] years,ago [158] friends,family [157] those,closest [157] aids,over [157] over,27 [157] 27,years Top Word Pairs in Tweet in G6:
[225] hiv,aids [166] end,hiv [163] aids,epidemic [130] work,end [129] despite,progress [129] progress,medical [129] medical,advancements [129] advancements,still [129] still,lot [129] lot,work Top Word Pairs in Tweet in G7:
[317] ज,स [286] क,प [284] त,ह [277] ब,म [277] म,र [265] dr,gurmeetramrahim [248] एड,स [237] स,ज [230] saint,dr [225] म,ल Top Word Pairs in Tweet in G8:
[45] #diamundialdelsida,#worldaidsday [41] hoy,#diamundialdelsida [41] #worldaidsday,gracias [40] #vih,enfermedad [40] enfermedad,vih [40] vih,vuelve [40] vuelve,víctima [40] víctima,estereotipo [40] estereotipo,hace [40] hace,culpable Top Word Pairs in Tweet in G9:
[545] don,t [301] living,hiv [276] undetectable,means [274] t,pass [273] viral,load [273] live,long [272] pill,usually [272] usually,reminder [272] reminder,m [272] m,living Top Word Pairs in Tweet in G10:
[262] remember,those [261] those,lost [261] lost,lives [156] hiv,aids [156] out,prep [149] world,aids [149] aids,day [147] today,world [147] hiv,transmissions [145] day,remember Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: