The graph represents a network of 15,425 Twitter users whose recent tweets contained "EU UK", 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, 23 October 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 19-hour, 58-minute period from Thursday, 22 October 2020 at 21:40 UTC to Friday, 23 October 2020 at 17:38 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 : 15425
Unique Edges : 23378
Edges With Duplicates : 7744
Total Edges : 31122
Number of Edge Types : 5
Retweet : 11834
MentionsInRetweet : 4346
Tweet : 3540
Replies to : 3132
Mentions : 8270
Self-Loops : 3652
Reciprocated Vertex Pair Ratio : 0.0184903197737655
Reciprocated Edge Ratio : 0.0363092695429304
Connected Components : 2385
Single-Vertex Connected Components : 1378
Maximum Vertices in a Connected Component : 10465
Maximum Edges in a Connected Component : 25191
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.485983
Graph Density : 9.83964034244134E-05
Modularity : 0.66324
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 15,425 Twitter users whose recent tweets contained "EU UK", 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, 23 October 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 19-hour, 58-minute period from Thursday, 22 October 2020 at 21:40 UTC to Friday, 23 October 2020 at 17:38 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 : EU UK
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:
[2225] trade,deal [1419] uk,eu [917] japan,trade [729] brexit,britain [664] britain,makes [664] makes,history [659] leaving,eu [653] staggering,15billion [653] 15billion,japan [653] deal,secured Top Word Pairs in Tweet in G1:
[1268] trade,deal [658] brexit,britain [616] japan,trade [607] britain,makes [607] makes,history [597] staggering,15billion [597] 15billion,japan [597] deal,secured [595] history,staggering [287] still,negotiating Top Word Pairs in Tweet in G2:
[245] trade,deal [237] uk,eu [201] uk,presses [201] presses,use [180] uk,japan [167] leave,eu [165] passport,gates [165] gates,eu [163] japan,deal [163] faster,passport Top Word Pairs in Tweet in G3:
[229] uk,eu [88] passport,gates [85] presses,use [85] use,faster [85] faster,passport [84] eu,airports [83] gates,eu [82] uk,presses [81] airports,brexit [73] trade,deal Top Word Pairs in Tweet in G4:
[215] british,farmers [158] food,imports [145] neville,rolfe [144] voted,against [143] unbelievable,baroness [143] baroness,lucy [143] lucy,neville [143] rolfe,chair [143] chair,company [143] company,behind Top Word Pairs in Tweet in G5:
[385] leaving,eu [378] entirely,due [378] due,uk [378] uk,leaving [377] hmrc,confirmed [377] confirmed,change [377] change,entirely [29] uk,eu [20] ukip,forced [20] forced,tory Top Word Pairs in Tweet in G6:
[208] blink,ll [208] ll,privatise [75] uk,outsource [75] outsource,28m [75] 28m,deportation [75] deportation,service [54] taking,back [54] back,control [53] benefits,club [53] club,without Top Word Pairs in Tweet in G7:
[172] trade,deal [157] state,aid [156] japan,trade [156] stricter,state [156] japan,eu [155] case,missed [155] missed,japan [155] deal,commits [155] commits,uk [155] uk,stricter Top Word Pairs in Tweet in G8:
[183] trade,deal [146] end,uk [145] brexit,heading [145] heading,disaster [145] disaster,whether [145] whether,trade [145] deal,agreed [145] agreed,blog [145] blog,carnegie_europe [145] carnegie_europe,argues Top Word Pairs in Tweet in G9:
[32] leave,eu [30] uk,leave [30] uk,eu [29] voted,stay [29] stay,uk [29] eu,firmly [29] firmly,believe [29] believe,uk [29] uk,having [29] having,control Top Word Pairs in Tweet in G10:
[60] trade,deal [34] arron,banks' [34] firm,fined [34] fined,120 [34] 120,000 [34] data,breaches [33] very,relevant [33] relevant,story [33] story,today [33] today,aaron Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: