The graph represents a network of 4,955 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 Wednesday, 13 November 2019 at 16:58 UTC.
The requested start date was Monday, 11 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, 29-minute period from Sunday, 10 November 2019 at 23:31 UTC to Monday, 11 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 : 4955
Unique Edges : 6784
Edges With Duplicates : 1190
Total Edges : 7974
Number of Edge Types : 3
Replies to : 1037
Mentions : 5750
Tweet : 1187
Self-Loops : 1187
Reciprocated Vertex Pair Ratio : 0.0108678280326035
Reciprocated Edge Ratio : 0.021501976284585
Connected Components : 735
Single-Vertex Connected Components : 349
Maximum Vertices in a Connected Component : 3485
Maximum Edges in a Connected Component : 6526
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.546546
Graph Density : 0.000257668226798555
Modularity : 0.693449
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,955 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 Wednesday, 13 November 2019 at 16:58 UTC.
The requested start date was Monday, 11 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, 29-minute period from Sunday, 10 November 2019 at 23:31 UTC to Monday, 11 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[672] brexit,party [301] clean,up [299] today,s [298] metaphors,brexit [298] up,mess [298] actually,makes [297] s,metaphors [297] brexit,man [297] man,brought [297] brought,clean Top Word Pairs in Tweet in G1:
[265] brexit,party [57] offers,olive [57] olive,branch [57] branch,farage [57] farage,ruling [57] ruling,out [53] nigel,farage [34] george,soros [32] johnson,offers [32] out,extending Top Word Pairs in Tweet in G2:
[24] brexit,party [7] gt,gt [7] daily,mail [7] boris,johnson [7] nigel,farage [6] johnson,offers [6] olive,branch [6] hey,#bookworms [6] #bookworms,#booknerd [6] #booknerd,m Top Word Pairs in Tweet in G3:
[261] today,s [261] s,metaphors [261] metaphors,brexit [261] brexit,man [261] man,brought [261] brought,clean [261] clean,up [261] up,mess [261] mess,actually [261] actually,makes Top Word Pairs in Tweet in G4:
[64] stop,brexit [32] vote,tactically [30] tactically,stop [30] stop,tories [28] acgrayling,vote [25] tories,getting [25] getting,majority [25] majority,stop [25] brexit,let's [25] let's,recover Top Word Pairs in Tweet in G5:
[30] anti,brexit [28] latest,signs [28] signs,suburban [28] suburban,anti [28] brexit,revolt [28] revolt,voters [28] voters,once [28] once,backed [28] backed,tories [27] johnharris1969,latest Top Word Pairs in Tweet in G6:
[82] brexit,party [62] standing,down [54] down,parliamentary [54] parliamentary,candidate [54] candidate,brexit [54] party,want [54] want,split [54] split,vote [53] ecadams,standing [53] vote,telford Top Word Pairs in Tweet in G7:
[61] phase,2 [56] #brexit,phase [55] 1,10 [55] 10,following [55] following,thread [55] thread,ten [55] 2,conservatives [55] conservatives,win [55] win,majority [54] simonfraser00,1 Top Word Pairs in Tweet in G8:
[60] tory,squealing [60] squealing,labour [60] labour,s [60] s,spending [60] spending,plans [60] plans,one [60] one,word [60] word,brexit [60] brexit,re [60] re,difficult Top Word Pairs in Tweet in G9:
[62] brexit,election [60] quick,reminder [60] reminder,brexit [60] election,brexit [60] brexit,still [60] still,isn [60] isn,t [60] t,defined [60] defined,costed [60] costed,agreed Top Word Pairs in Tweet in G10:
[106] government's,forecasts [106] forecasts,suggest [106] suggest,boris [106] boris,johnson's [106] johnson's,brexit [106] brexit,deal [106] deal,reduce [106] reduce,growth [106] growth,6 [106] 6,7 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: