The graph represents a network of 5,897 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, 08 December 2019 at 05:05 UTC.
The requested start date was Sunday, 08 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 1-hour, 30-minute period from Wednesday, 04 December 2019 at 23:27 UTC to Sunday, 08 December 2019 at 00:58 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 : 5897
Unique Edges : 7175
Edges With Duplicates : 1403
Total Edges : 8578
Number of Edge Types : 3
Mentions : 6988
Tweet : 1510
Replies to : 80
Self-Loops : 1510
Reciprocated Vertex Pair Ratio : 0.0210077396935713
Reciprocated Edge Ratio : 0.0411509900990099
Connected Components : 1281
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 2452
Maximum Edges in a Connected Component : 4461
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.916671
Graph Density : 0.000185914278331622
Modularity : 0.784776
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,897 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, 08 December 2019 at 05:05 UTC.
The requested start date was Sunday, 08 December 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 1-hour, 30-minute period from Wednesday, 04 December 2019 at 23:27 UTC to Sunday, 08 December 2019 at 00:58 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1475] world,aids [1451] aids,day [873] hiv,aids [636] living,hiv [376] those,lost [371] î,î [300] everyone,living [299] stand,everyone [299] aids,honor [299] lost,#worldaidsday Top Word Pairs in Tweet in G1:
[353] world,aids [353] aids,day [41] day,2019 [40] hiv,aids [28] àª,ઠ[21] ø,ø [14] ø,ù [13] 2019,world [13] living,hiv [13] event,world Top Word Pairs in Tweet in G2:
[293] living,hiv [293] hiv,aids [283] today,stand [283] stand,everyone [283] everyone,living [283] aids,honor [283] honor,those [283] those,lost [283] lost,#worldaidsday [283] #worldaidsday,whitehouse Top Word Pairs in Tweet in G3:
[41] world,aids [25] aids,day [19] executive,director [18] unaids,unaids [18] unaids,deputy [18] deputy,executive [18] director,carlssonswe [18] carlssonswe,met [18] met,minister [18] minister,president Top Word Pairs in Tweet in G4:
[126] aids,africa [89] fight,aids [86] together,power [83] power,help [83] help,end [83] end,aids [83] africa,10 [83] 10,donated [83] red,12 [83] 12,31 Top Word Pairs in Tweet in G5:
[147] people,living [143] hiv,virus [142] virus,stigma [142] stigma,epidemic [142] epidemic,stop [142] stop,stigmatizing [142] stigmatizing,discriminating [142] discriminating,against [142] against,people [141] textstagram_,hiv Top Word Pairs in Tweet in G6:
[120] living,hiv [119] hiv,aids [106] world,aids [106] aids,day [103] day,first [103] first,lady [103] lady,express [103] express,support [103] support,those [103] those,living Top Word Pairs in Tweet in G7:
[37] world,aids [37] aids,day [28] hiv,aids [25] day,2019 [25] secondary,school [25] school,students [24] morning,ssa [24] ssa,ekitistategov [24] ekitistategov,dr [24] dr,jimlas_opeyemi Top Word Pairs in Tweet in G8:
[28] hiv,charities [27] again,cycling [27] cycling,club [27] club,raises [27] raises,money [27] money,hiv [27] charities,right [27] right,sumup [27] sumup,deemed [27] deemed,breach Top Word Pairs in Tweet in G9:
[44] dr,gurmeetramrahim [38] saint,dr [33] œà,ˆà [29] moral,values [28] त,ह [25] #worldaidsday,saint [24] ज,स [23] क,प [23] prevented,good [23] values,celibacy Top Word Pairs in Tweet in G10:
[16] people,living [16] living,#hiv [13] end,2018 [12] #worldaidsday,approximately [12] approximately,37 [12] 37,million [12] million,people [12] #hiv,end [12] 2018,79 [12] 79,diagnosed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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 Replied-To in G10:
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:
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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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: