The graph represents a network of 9,114 Twitter users whose recent tweets contained "Brexit", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 11:02 UTC.
The tweets in the network were tweeted over the 44-minute period from Monday, 04 November 2019 at 09:59 UTC to Monday, 04 November 2019 at 10:43 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 : 9114
Unique Edges : 15194
Edges With Duplicates : 3081
Total Edges : 18275
Number of Edge Types : 4
Retweet : 7247
Replies to : 2565
Mentions : 6615
Tweet : 1848
Self-Loops : 1951
Reciprocated Vertex Pair Ratio : 0.0123172712506768
Reciprocated Edge Ratio : 0.0243348041181976
Connected Components : 1062
Single-Vertex Connected Components : 497
Maximum Vertices in a Connected Component : 6803
Maximum Edges in a Connected Component : 15742
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.373075
Graph Density : 0.000180095613216172
Modularity : 0.655269
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,114 Twitter users whose recent tweets contained "Brexit", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 11:02 UTC.
The tweets in the network were tweeted over the 44-minute period from Monday, 04 November 2019 at 09:59 UTC to Monday, 04 November 2019 at 10:43 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 : 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1735] brexit,party [571] nigel,farage [446] boris,johnson [391] brexit,done [376] deal,brexit [335] jeremy,corbyn [314] election,brexit [311] general,election [292] vote,tactically [277] vote,brexit Top Word Pairs in Tweet in G1:
[251] vote,tactically [230] brexit,party [157] election,brexit [119] voted,brexit [114] stop,brexit [105] brexit,nhs [103] brexit,happens [102] nhs,brexit [100] general,election [100] happens,nhs Top Word Pairs in Tweet in G2:
[664] brexit,party [243] deal,brexit [189] brexit,done [166] nigel,farage [146] jeremy,corbyn [145] brexit,years [138] another,eu [137] eu,referendum [136] corbyn,another [136] referendum,debate Top Word Pairs in Tweet in G3:
[62] brexit,party [28] boris,johnson [23] general,election [22] nigel,farage [10] stop,brexit [9] trade,deal [8] jeremy,corbyn [8] liberal,democrat [7] brexit,deal [7] brexit,election Top Word Pairs in Tweet in G4:
[71] nigel,farage [69] boris,johnson [68] versions,brexit [68] johnson,deal [67] support,brexit [66] three,different [66] different,versions [66] brexit,theresa [66] theresa,deal [66] deal,boris Top Word Pairs in Tweet in G5:
[91] brexit,party [48] boris,johnson [48] chuka,umunna [39] johnson,deal [36] umunna,told [36] told,juliahb1 [36] juliahb1,weve [36] weve,always [36] always,clear [36] clear,main Top Word Pairs in Tweet in G6:
[263] whomsoever,canst [263] canst,draw [263] draw,motorola [263] motorola,carriageway [263] carriageway,shall [263] shall,kinge [263] kinge,brexit [263] brexit,englandde [8] 100million,wasted [8] wasted,'get Top Word Pairs in Tweet in G7:
[37] brexit,party [29] brexit,blocking [28] dozens,brexit [28] blocking,peers [28] peers,mps [28] mps,received [28] received,millions [28] millions,cash [28] cash,eu [28] eu,mailonline Top Word Pairs in Tweet in G8:
[60] boris,johnson [54] election,brexit [54] invest,invest [52] dominic,cummings [52] cummings,seumas [52] seumas,milne [52] upcoming,general [52] general,election [51] dispatches,examines [51] examines,influence Top Word Pairs in Tweet in G9:
[57] #brexit,#now [36] oh,well [36] well,thunk [36] thunk,york [36] york,times [36] times,expose [36] expose,morning [36] morning,finds [36] finds,#eu [36] #eu,agricultural Top Word Pairs in Tweet in G10:
[81] brexit,done [80] bored,election [52] radical,right [44] october,31 [41] election,brexit [40] apparently,already [40] already,'tired [40] 'tired,of' [40] of',austerity [40] austerity,bored Top Replied-To in Entire Graph:
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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 G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: