The graph represents a network of 5,191 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, 26 November 2019 at 18:18 UTC.
The requested start date was Monday, 25 November 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 1-hour, 25-minute period from Sunday, 24 November 2019 at 23:35 UTC to Monday, 25 November 2019 at 01:01 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 : 5191
Unique Edges : 6621
Edges With Duplicates : 1091
Total Edges : 7712
Number of Edge Types : 3
Mentions : 5362
Replies to : 1086
Tweet : 1264
Self-Loops : 1264
Reciprocated Vertex Pair Ratio : 0.0111871764902321
Reciprocated Edge Ratio : 0.0221268163804491
Connected Components : 878
Single-Vertex Connected Components : 418
Maximum Vertices in a Connected Component : 3475
Maximum Edges in a Connected Component : 5974
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.918495
Graph Density : 0.00022478507896244
Modularity : 0.71968
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,191 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, 26 November 2019 at 18:18 UTC.
The requested start date was Monday, 25 November 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 1-hour, 25-minute period from Sunday, 24 November 2019 at 23:35 UTC to Monday, 25 November 2019 at 01:01 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:
[703] brexit,done [476] brexit,party [347] boris,johnson [262] deal,brexit [178] brexit,deal [167] vote,deal [163] hard,brexit [162] vote,vote [154] tories,confirmed [154] confirmed,vote Top Word Pairs in Tweet in G1:
[254] brexit,party [61] vote,brexit [47] boris,johnson [38] prediction,brexit [36] contract,people [35] called,racists [35] racists,again [35] again,doncaster [35] doncaster,brexit [35] party,fighting Top Word Pairs in Tweet in G2:
[52] brexit,done [27] boris,johnson [19] #conservativemanifesto,focuses [19] focuses,people's [19] people's,priorities [19] priorities,#voteconservative [19] #voteconservative,brexit [19] done,invest [13] brexit,party [9] johnson,offers Top Word Pairs in Tweet in G3:
[46] stop,brexit [33] brexit,vote [33] brexit,central [29] vote,tactically [27] johnson,tories [26] support,brexit [25] know,beat [25] beat,johnson [25] tories,brexit [25] voting,labour Top Word Pairs in Tweet in G4:
[148] brexit,done [50] done,invest [32] majority,conservative [32] conservative,government [32] government,brexit [31] done,31st [31] 31st,january [31] january,#voteconservative [31] #voteconservative,#getbrexitdone [31] jacob_rees_mogg,majority Top Word Pairs in Tweet in G5:
[54] boris,johnson [44] brexit,party [40] end,day [40] day,much [40] much,same [40] same,place [40] place,started [40] started,besides [40] besides,brexit [40] brexit,haven Top Word Pairs in Tweet in G6:
[91] brexit,done [33] done,invest [28] brexit,catastrofuck [28] catastrofuck,lied [28] lied,hospitals [28] hospitals,suppressed [28] suppressed,russia [28] russia,report [28] report,nhs [28] nhs,meltdown Top Word Pairs in Tweet in G7:
[55] erm,think [55] think,femi_sorry [55] femi_sorry,managed [55] managed,explain [55] explain,brexit [55] brexit,less [55] less,50 [55] 50,seconds [55] seconds,#ge2019 [54] ofocbrexit,erm Top Word Pairs in Tweet in G8:
[53] brexit,done [34] deadline,11 [34] 11,59 [34] 59,pm [34] pm,26th [34] 26th,november [34] november,please [34] please,register [34] register,vote [34] vote,election Top Word Pairs in Tweet in G9:
[125] deal,brexit [119] keir_starmer,tories [119] tories,confirmed [119] confirmed,vote [119] vote,vote [119] vote,deal [3] hard,brexit [3] keir_starmer,confirmed [3] confirmed,look [3] look,deal Top Word Pairs in Tweet in G10:
[25] brexit,party [23] #ge2019,#brexit [15] go,white [15] white,fucking [15] fucking,country [15] country,#ge2019 [15] #brexit,matters [15] matters,#uk [15] #uk,country [14] darrenplymouth,go 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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: