The graph represents a network of 11,063 Twitter users whose recent tweets contained "#Leave", 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 Thursday, 07 November 2019 at 11:28 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 26-minute period from Tuesday, 29 October 2019 at 08:11 UTC to Thursday, 07 November 2019 at 10:37 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 : 11063
Unique Edges : 20426
Edges With Duplicates : 6281
Total Edges : 26707
Self-Loops : 1844
Reciprocated Vertex Pair Ratio : 0.00689880203234979
Reciprocated Edge Ratio : 0.0137030693023471
Connected Components : 643
Single-Vertex Connected Components : 388
Maximum Vertices in a Connected Component : 9847
Maximum Edges in a Connected Component : 25349
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.036108
Graph Density : 0.000176509177161626
Modularity : 0.569783
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 11,063 Twitter users whose recent tweets contained "#Leave", 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 Thursday, 07 November 2019 at 11:28 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 26-minute period from Tuesday, 29 October 2019 at 08:11 UTC to Thursday, 07 November 2019 at 10:37 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 : #Leave
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3698] #leave,#remain [3055] second,referendum [3044] #peoplesvote,#brexit [3044] #brexit,think [3041] #remain,second [3041] referendum,#peoplesvote [3041] think,win [3041] win,#pleasert [3041] #pleasert,voting [3041] voting,greater Top Word Pairs in Tweet in G1:
[2883] #leave,#remain [2881] #remain,second [2881] second,referendum [2881] referendum,#peoplesvote [2881] #peoplesvote,#brexit [2881] #brexit,think [2881] think,win [2881] win,#pleasert [2881] #pleasert,voting [2881] voting,greater Top Word Pairs in Tweet in G2:
[578] vote,brexitparty_uk [477] party,standing [467] #leave,party [463] don,t [404] split,vote [401] #leave,vote [399] appendage,facsimile [396] doesn,t [389] conservatives,split [388] hold,nerve Top Word Pairs in Tweet in G3:
[260] voted,#leave [250] #leave,2016 [207] single,market [207] vote,#remain [205] barney,veteran [205] veteran,west [205] west,midlands [205] midlands,spoke [205] spoke,morning [205] morning,train Top Word Pairs in Tweet in G4:
[74] #remain,#leave [67] half,country [67] #leave,voter [66] #itsnotjustaboutbrexit,people [66] people,accuse [66] accuse,talking [66] talking,#remain [66] #leave,exactly [66] exactly,right [66] right,someone Top Word Pairs in Tweet in G5:
[342] #leave,voters [117] voters,#leave [105] #leave,area [98] mp,laurapidcockmp [98] 55,#leave [90] want,#leave [87] hallelujah,think [87] think,finally [87] finally,people [87] people,beginning Top Word Pairs in Tweet in G6:
[128] majority,#brexit [116] vote,brexitparty_uk [111] want,#leave [107] tories,now [85] 17,4m [78] both,theresa [73] really,come [73] come,tories [73] tories,campaigned [73] campaigned,slogan Top Word Pairs in Tweet in G7:
[42] #leave,#remain [30] voted,#leave [27] #remain,#leave [24] #leave,voters [20] #brexit,#leave [16] don,t [12] vote,#leave [10] #leave,#brexit [9] #leave,vote [9] #leave,#eu Top Word Pairs in Tweet in G8:
[248] heavy,handed [248] handed,policing [248] policing,extinctionr [248] extinctionr,protests [248] protests,stark [248] stark,contrast [248] contrast,hands [248] hands,approach [248] approach,towards [248] towards,#leave Top Word Pairs in Tweet in G9:
[234] #brexit,#leave [133] #bracknell,#brexit [132] #changepoliticsforgood,#bracknell [126] #ge2019,#winsper [122] brexit,party [120] #leave,#ge2019 [118] party,aims [118] aims,wipe [118] wipe,out [118] out,#labour Top Word Pairs in Tweet in G10:
[227] 17,4 [227] 4,million [227] million,people [227] people,voted [227] voted,#brexit [227] #brexit,now [227] now,400 [227] 400,000 [227] 000,others [227] others,trying Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
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:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: