The graph represents a network of 5,960 Twitter users whose tweets in the requested range contained "brexit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 03 December 2019 at 19:26 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 23-hour, 48-minute period from Saturday, 30 November 2019 at 12:47 UTC to Sunday, 01 December 2019 at 12:36 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 : 5960
Unique Edges : 7470
Edges With Duplicates : 2232
Total Edges : 9702
Number of Edge Types : 3
Mentions : 7292
Replies to : 1101
Tweet : 1309
Self-Loops : 1309
Reciprocated Vertex Pair Ratio : 0.0100896860986547
Reciprocated Edge Ratio : 0.0199778024417314
Connected Components : 936
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 3932
Maximum Edges in a Connected Component : 7701
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.245998
Graph Density : 0.000202952839931929
Modularity : 0.692888
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,960 Twitter users whose tweets in the requested range contained "brexit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 03 December 2019 at 19:26 UTC.
The requested start date was Monday, 02 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 23-hour, 48-minute period from Saturday, 30 November 2019 at 12:47 UTC to Sunday, 01 December 2019 at 12:36 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 : brexit
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:
[510] brexit,party [430] boris,johnson [389] brexit,done [183] hard,brexit [173] stop,brexit [114] lib,dems [104] fuck,brexit [102] brexit,more [98] terrorist,being [97] taken,down Top Word Pairs in Tweet in G1:
[65] told,oven [65] oven,ready [65] ready,brexit [65] brexit,worst' [64] lies,borisjohnson [64] borisjohnson,told [64] worst',latest [64] latest,article [63] brexit,done [63] thatginamiller,'of Top Word Pairs in Tweet in G2:
[159] brexit,party [37] public,services [32] labour,40 [25] 31,brexit [23] majority,course [22] hartlepool,yougov [22] yougov,labour [22] 40,tory [22] tory,31 [22] brexit,23 Top Word Pairs in Tweet in G3:
[32] brexit,party [24] brexit,done [21] boris,johnson [8] climate,change [7] general,election [7] deal,brexit [7] stop,brexit [6] brexit,vote [6] lib,dems [6] brexit,brexit Top Word Pairs in Tweet in G4:
[50] boris,johnson [29] tory,govt [29] govt,patel4witham [29] patel4witham,dominicraab [29] dominicraab,really [29] really,charge [29] charge,vietnamese [29] vietnamese,families [29] families,whose [29] whose,loved Top Word Pairs in Tweet in G5:
[52] brexit,done [27] andrewmarr9,incredibly [27] incredibly,clear [26] boris,brilliant [26] brilliant,under [26] under,pressure [26] pressure,andrewmarr9 [26] clear,despite [26] despite,absurd [26] absurd,level Top Word Pairs in Tweet in G6:
[42] stop,brexit [23] brexit,policy [23] policy,democratically [20] lib,deputy [20] deputy,leader [20] leader,edwardjdavey [20] edwardjdavey,stop [18] giftcee,lib [16] terrorist,attack [16] attack,corbyn Top Word Pairs in Tweet in G7:
[48] hard,brexit [43] election,update [43] update,telford [43] telford,hard [43] brexit,conservative [43] conservative,mp [43] mp,lucy [43] lucy,allan [43] allan,faked [43] faked,death Top Word Pairs in Tweet in G8:
[32] more,control [31] 2024,struggling [31] struggling,pay [31] pay,healthcare [31] healthcare,provider [31] provider,shortage [31] shortage,medical [31] medical,professionals [30] blunted_james,2024 [30] professionals,homele Top Word Pairs in Tweet in G9:
[69] boris,johnson [40] johnson,absolutely [39] #marr,tariffs [39] tariffs,checks [39] checks,goods [39] goods,between [39] between,gb [39] gb,boris [39] absolutely,#marr [38] haggis_uk,#marr Top Word Pairs in Tweet in G10:
[8] over,last [8] boris,johnson [7] yeah,over [7] last,nine [7] nine,years [7] years,delivered [7] delivered,nhs [7] nhs,schools [7] schools,policing [7] policing,haven't 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:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: