The graph represents a network of 4,585 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 Tuesday, 19 November 2019 at 08:44 UTC.
The requested start date was Tuesday, 19 November 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, 3-hour, 33-minute period from Sunday, 17 November 2019 at 03:47 UTC to Monday, 18 November 2019 at 07:21 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 : 4585
Unique Edges : 6443
Edges With Duplicates : 1072
Total Edges : 7515
Number of Edge Types : 3
Mentions : 6725
Replies to : 111
Tweet : 679
Self-Loops : 679
Reciprocated Vertex Pair Ratio : 0.00233354075917859
Reciprocated Edge Ratio : 0.00465621604842465
Connected Components : 218
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 4094
Maximum Edges in a Connected Component : 6956
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.07713
Graph Density : 0.000306552020112629
Modularity : 0.720878
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,585 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 Tuesday, 19 November 2019 at 08:44 UTC.
The requested start date was Tuesday, 19 November 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, 3-hour, 33-minute period from Sunday, 17 November 2019 at 03:47 UTC to Monday, 18 November 2019 at 07:21 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[656] health,service [653] crucial,moment [653] moment,national [653] national,health [653] service,here's [653] here's,asking [652] asking,want [649] want,protect [649] protect,nhs [643] keepnhspublic,crucial Top Word Pairs in Tweet in G1:
[269] jeremy,corbyn [105] emily,thornberry [94] heres,ex [94] ex,ira [94] ira,leader [94] leader,turned [94] turned,informer [94] informer,sean [94] sean,callaghan [94] callaghan,jeremy Top Word Pairs in Tweet in G2:
[580] crucial,moment [580] moment,national [580] national,health [580] health,service [580] service,here's [580] here's,asking [580] asking,want [580] want,protect [580] protect,nhs [579] keepnhspublic,crucial Top Word Pairs in Tweet in G3:
[65] uklabour,#ge2019 [64] journalist,openly [64] openly,supporting [64] supporting,uklabour [64] #ge2019,#videosbythemany [63] joanaramirouk,journalist [56] #ge2019,manifesto [51] jeremy,corbyn [42] boris,johnson [34] long,day Top Word Pairs in Tweet in G4:
[72] #ge2019,#brexit [56] professional,experience [56] experience,nhs [56] nhs,wonderfully [56] wonderfully,international [56] international,ve [56] ve,worked [56] worked,fantastic [56] fantastic,filipino [56] filipino,irish Top Word Pairs in Tweet in G5:
[231] boris,johnson [217] 2013,boris [217] 12,fire [217] fire,stations [216] 13,june [216] june,2013 [216] johnson,warned [216] warned,plan [216] plan,close [216] close,12 Top Word Pairs in Tweet in G6:
[79] vote,#ge2019 [52] register,vote [49] permanent,address [48] joined,labour [48] labour,party [48] party,labour [48] labour,offers [48] offers,hope [48] hope,future [48] future,others Top Word Pairs in Tweet in G7:
[23] #votesnp,#ge2019 [21] labour,ban [21] ban,zero [21] zero,hours [21] hours,contracts [21] contracts,introduce [21] introduce,10 [21] 10,hour [21] hour,minimum [21] minimum,wage Top Word Pairs in Tweet in G8:
[20] freedom,movement [17] parties,want [17] want,everything [17] everything,possible [17] possible,tackle [17] tackle,#climate [17] #climate,emergency [17] emergency,going [17] going,ahead [17] ahead,environmentally Top Word Pairs in Tweet in G9:
[98] single,tweet [98] tweet,problem [98] problem,state [98] state,owned [98] owned,state [98] state,controlled [98] controlled,broadband [98] broadband,#ge2019 [97] suzanneevans1,single [48] pt,lead Top Word Pairs in Tweet in G10:
[49] #jenniferarcuri,#exposure [40] stunned,lack [40] lack,journalists [40] journalists,tweeting [40] tweeting,johnson [40] johnson,#jenniferarcuri [40] #exposure,prog [40] prog,itv [40] itv,admittedly [40] admittedly,late Top Replied-To in Entire Graph:
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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: