The graph represents a network of 16,629 Twitter users whose recent tweets contained "May Brexit", 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 Saturday, 25 May 2019 at 16:19 UTC.
The tweets in the network were tweeted over the 6-hour, 51-minute period from Saturday, 25 May 2019 at 08:04 UTC to Saturday, 25 May 2019 at 14:56 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 : 16629
Unique Edges : 21681
Edges With Duplicates : 2210
Total Edges : 23891
Self-Loops : 3654
Reciprocated Vertex Pair Ratio : 0.00519574052163177
Reciprocated Edge Ratio : 0.0103377686796315
Connected Components : 2698
Single-Vertex Connected Components : 1760
Maximum Vertices in a Connected Component : 11873
Maximum Edges in a Connected Component : 18942
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.055694
Graph Density : 7.06672856455445E-05
Modularity : 0.74022
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2065] hi,everyone [2064] bydonkeys,hi [1358] prime,minister [930] led,donkeys [904] show,faces [896] faces,last [893] donkeys,show [845] boris,johnson [801] theresa,may's [787] one,knew Top Word Pairs in Tweet in G1:
[1786] hi,everyone [1785] bydonkeys,hi [88] show,faces [84] one,knew [83] led,donkeys [83] faces,last [82] donkeys,show [81] last,one [53] love,bydonkeys [51] shera_marley,love Top Word Pairs in Tweet in G2:
[181] love,country [181] theresa_may,very [181] very,much [179] country,theresa_may [179] much,cry [179] cry,horrors [179] horrors,decade [179] decade,austerity [179] austerity,hostile [178] johannasaunders,love Top Word Pairs in Tweet in G3:
[261] led,donkeys [255] show,faces [254] one,knew [253] donkeys,show [252] faces,last [251] last,one [174] prime,minister [91] brexit,party [69] owen,jones [65] deal,brexit Top Word Pairs in Tweet in G4:
[159] deal,eu [158] great,brexit [158] brexit,myth [158] myth,perpetrated [158] perpetrated,stooges [158] stooges,amplified [158] amplified,media [158] media,uk [158] uk,needs [158] needs,deal Top Word Pairs in Tweet in G5:
[348] brexit,party [342] party,rally [330] went,brexit [316] last,week [248] grenfell,fire [248] fire,endure [248] endure,reminder [248] reminder,social [248] social,order [248] order,built Top Word Pairs in Tweet in G6:
[162] led,donkeys [155] pity,theresa [150] lots,people [150] poisoned,chalice [149] people,pity [149] theresa,think [149] think,took [149] took,up [149] up,poisoned [149] chalice,ve Top Word Pairs in Tweet in G7:
[315] prime,minister [307] boris,johnson [305] possibility,boris [305] johnson,indeed [305] indeed,become [305] become,prime [305] minister,one [305] one,many [305] many,measures [305] measures,current Top Word Pairs in Tweet in G8:
[218] theresa,may's [218] may's,legacy [217] legacy,windrush [215] windrush,grenfell [215] grenfell,14m [215] 14m,poverty [215] poverty,130k [215] 130k,homeless [215] homeless,children [215] children,1m Top Word Pairs in Tweet in G9:
[53] strategic,mistakes [52] mistakes,irish [52] irish,question [51] theresa,strategic [43] british,friend [43] friend,brexit [43] brexit,basically [43] basically,opening [43] opening,ark [43] ark,raiders Top Word Pairs in Tweet in G10:
[120] theresa,may's [103] afp,theresa [101] britain,crashing [101] crashing,out [100] may's,resignation [100] resignation,leaves [100] leaves,#brexit [100] #brexit,process [100] process,disarray [100] disarray,raises Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: