The graph represents a network of 5,109 Twitter users whose tweets in the requested range contained "#GE2019", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 10:31 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 14-minute period from Saturday, 14 December 2019 at 23:46 UTC to Monday, 16 December 2019 at 01:00 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 : 5109
Unique Edges : 6492
Edges With Duplicates : 1003
Total Edges : 7495
Number of Edge Types : 3
Mentions : 6268
Tweet : 993
Replies to : 234
Self-Loops : 993
Reciprocated Vertex Pair Ratio : 0.00244738130200685
Reciprocated Edge Ratio : 0.0048828125
Connected Components : 667
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 3560
Maximum Edges in a Connected Component : 5775
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.944402
Graph Density : 0.000235431416575199
Modularity : 0.792044
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,109 Twitter users whose tweets in the requested range contained "#GE2019", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 10:31 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 1-hour, 14-minute period from Saturday, 14 December 2019 at 23:46 UTC to Monday, 16 December 2019 at 01:00 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 : #GE2019
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:
[262] sky,news [216] jeremy,corbyn [186] news,australia [184] breaking,sky [184] australia,#ge2019 [184] #ge2019,brits [184] brits,told [184] told,hard [184] hard,left [181] marquessbraith1,breaking Top Word Pairs in Tweet in G1:
[105] scottish,labour [100] delighted,come [100] come,home [100] home,#edinburghsouthwest [100] #edinburghsouthwest,thesnp [100] thesnp,celebrations [100] celebrations,news [100] news,many [100] many,scottish [100] labour,activists Top Word Pairs in Tweet in G2:
[131] rermoaner,ex [131] ex,tory [131] tory,rebel [131] rebel,david [131] david,gauke [131] gauke,predicted [131] predicted,landslide [131] landslide,himself [131] himself,#ge2019 [131] #ge2019,things Top Word Pairs in Tweet in G3:
[80] jeremy,corbyn [77] activist,rebel [77] rebel,leader [77] leader,opposition [77] opposition,here's [77] here's,jeremy [77] corbyn,rose [77] rose,power [77] power,losses [76] skynews,activist Top Word Pairs in Tweet in G4:
[20] mps,elected [19] way,mps [19] elected,westminster [19] westminster,broken [19] broken,beyond [19] beyond,repair [19] repair,need [19] need,#makeseatsmatchvotes [19] #makeseatsmatchvotes,sign [7] #brexit,#ge2019 Top Word Pairs in Tweet in G5:
[30] uklabour,#ge2019 [26] mainstream,media [26] lies,smears [26] #ge2019,campaign [24] hugely,disappointing [24] disappointing,result [24] result,uklabour [24] #ge2019,due [24] due,mainstream [24] media,onslaught Top Word Pairs in Tweet in G6:
[124] goodwinmj,conservative [123] conservative,gain [123] gain,47 [123] 47,thursday [123] thursday,highest [123] highest,gain [123] gain,incumbent [123] incumbent,conservative [123] conservative,party [123] party,higher Top Word Pairs in Tweet in G7:
[174] marquessbraith1,breaking [174] breaking,sky [174] sky,news [174] news,australia [174] australia,#ge2019 [174] #ge2019,brits [174] brits,told [174] told,hard [174] hard,left [174] left,antisemitic Top Word Pairs in Tweet in G8:
[124] bbcnews,claiming [124] claiming,labour [124] labour,suffered [124] suffered,worst [124] worst,election [124] election,result [124] result,1935 [124] 1935,#ge2019 [123] staircase2,bbcnews [123] #ge2019,poli Top Word Pairs in Tweet in G9:
[47] know,instead [47] instead,doing [47] doing,whip [47] whip,around [47] around,sunday [47] sunday,times [47] times,advocated [47] advocated,end [47] end,childhood [47] childhood,poverty Top Word Pairs in Tweet in G10:
[17] maajid,nawaz [17] nawaz,calling [17] calling,corbyn [17] corbyn,supporters [17] supporters,stop [17] stop,blaming [17] blaming,everyone [17] everyone,themselves [17] themselves,labour's [17] labour's,defeat Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
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:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: