The graph represents a network of 16,750 Twitter users whose recent tweets contained "Zelensky Vogue", 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 Friday, 29 July 2022 at 11:23 UTC.
The tweets in the network were tweeted over the 22-hour, 56-minute period from Thursday, 28 July 2022 at 11:35 UTC to Friday, 29 July 2022 at 10:31 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 : 16750
Unique Edges : 19882
Edges With Duplicates : 1160
Total Edges : 21042
Number of Edge Types : 5
Tweet : 1734
Retweet : 15742
Mentions : 949
Replies to : 1156
MentionsInRetweet : 1461
Self-Loops : 1792
Reciprocated Vertex Pair Ratio : 0.0013294336612603
Reciprocated Edge Ratio : 0.00265533722782793
Connected Components : 1486
Single-Vertex Connected Components : 836
Maximum Vertices in a Connected Component : 13485
Maximum Edges in a Connected Component : 17642
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.356869
Graph Density : 6.71191775316504E-05
Modularity : 0.846644
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 16,750 Twitter users whose recent tweets contained "Zelensky Vogue", 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 Friday, 29 July 2022 at 11:23 UTC.
The tweets in the network were tweeted over the 22-hour, 56-minute period from Thursday, 28 July 2022 at 11:35 UTC to Friday, 29 July 2022 at 10:31 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 : Zelensky Vogue
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1669] photos,glamour [1600] sa,femme [1580] pour,#vogue [1434] par,son [1432] la,revista [1329] la,guerre [1324] une,guerre [1318] dans,une [1275] para,la [1252] zelensky,vogue Top Word Pairs in Tweet in G1:
[1545] photos,glamour [1372] sa,femme [1326] par,son [1131] la,guerre [1002] pour,#vogue [905] et,son [904] son,épouse [886] #zelensky,et [882] glamour,pour [880] séance,de Top Word Pairs in Tweet in G2:
[557] pour,#vogue [553] une,guerre [550] dans,une [502] leur,peuple [499] cet,hiver [499] #vogue,#zelensky [499] #zelensky,#ukrainewar [498] faudra,pas [498] pas,demander [498] demander,de Top Word Pairs in Tweet in G3:
[301] da,vogue [300] pra,vogue [281] da,ucrânia [206] zelensky,mulher [205] de,moda [200] mulher,posam [200] posam,pra [200] vogue,espetacularização [200] espetacularização,estetização [200] estetização,da Top Word Pairs in Tweet in G4:
[113] zelensky,vogue [70] zelensky,wife [59] vogue,cover [55] para,vogue [53] volodymyr,zelensky [39] vogue,photoshoot [39] vogue,magazine [34] casal,zelensky [33] su,vogue [32] de,la Top Word Pairs in Tweet in G5:
[391] war,pose [391] pose,vogue [386] proxy,war [385] people,dying [385] dying,#nato [385] #nato,proxy [385] vogue,leader [385] leader,morally [385] morally,bankrupt [385] bankrupt,nato Top Word Pairs in Tweet in G6:
[634] zelensky,sua [628] revista,de [628] de,moda [628] moda,vogue [622] essa,foto [622] foto,de [622] de,zelensky [622] sua,mulher [622] mulher,revista [622] vogue,como Top Word Pairs in Tweet in G7:
[566] united,states [566] states,enters [566] enters,recession [566] recession,remember [566] remember,zelensky [566] zelensky,american [566] american,economic [566] economic,woes [566] woes,stop [566] stop,funding Top Word Pairs in Tweet in G8:
[491] zelensky,vogue [483] massive,amount [483] amount,ukrainian [483] ukrainian,soldiers [483] soldiers,dying [483] dying,zelensky [483] vogue,shooting [32] vogue,zelensky [31] dopo,vogue [31] zelensky,punta Top Word Pairs in Tweet in G9:
[501] la,revista [499] su,esposa [498] zelensky,su [495] de,una [489] para,la [487] vlodimir,zelensky [487] esposa,olena [487] olena,se [487] se,han [487] han,dado Top Word Pairs in Tweet in G10:
[374] della,moglie [286] su,vogue [255] di,zelensky [207] moglie,vogue [206] zelensky,della [189] di,più [188] umanità,che [186] l'intervista,di [186] vuol,dire [185] se,vi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: