The graph represents a network of 13,036 Twitter users whose recent tweets contained "#GE2019", 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, 12 December 2019 at 06:57 UTC.
The tweets in the network were tweeted over the 5-hour, 48-minute period from Thursday, 12 December 2019 at 00:17 UTC to Thursday, 12 December 2019 at 06:05 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 : 13036
Unique Edges : 24934
Edges With Duplicates : 5914
Total Edges : 30848
Self-Loops : 3309
Reciprocated Vertex Pair Ratio : 0.00210833603632825
Reciprocated Edge Ratio : 0.00420780061498624
Connected Components : 1370
Single-Vertex Connected Components : 812
Maximum Vertices in a Connected Component : 10668
Maximum Edges in a Connected Component : 28198
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.695729
Graph Density : 0.000145453038900979
Modularity : 0.640403
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 13,036 Twitter users whose recent tweets contained "#GE2019", 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, 12 December 2019 at 06:57 UTC.
The tweets in the network were tweeted over the 5-hour, 48-minute period from Thursday, 12 December 2019 at 00:17 UTC to Thursday, 12 December 2019 at 06:05 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 : #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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[986] boris,johnson [772] steve,coogan [740] #ge2019,#generalelection2019 [739] jeremy,corbyn [722] don,t [691] #ge2019,#fridgegate [685] vote,tomorrow [675] make,sure [662] #ge2019,#votetactically [638] think,those Top Word Pairs in Tweet in G1:
[421] uklabour,#ge2019 [400] make,sure [369] #votecorbyn,#votelabouronthursday [358] vote,tomorrow [357] #votelabour,#ge2019 [348] jeremycorbyn,uklabour [347] sure,vote [345] tomorrow,jeremycorbyn [345] #ge2019,#ub40 [345] #ub40,#votecorbyn Top Word Pairs in Tweet in G2:
[544] #ge2019,#votetactically [520] #votetactically,#voteremain [279] vote,#ge2019 [271] boris,johnson [241] steve,coogan [207] 1,jaw [207] jaw,dropping [207] dropping,stuff [207] stuff,newsnight [207] newsnight,tonight Top Word Pairs in Tweet in G3:
[284] jeremy,corbyn [197] labour,party [170] don,t [167] #ge2019,#generalelection2019 [147] party,tomorrow [145] brexit,party [138] tomorrow,vote [119] vote,even [115] #nevercorbyn,#ge2019 [113] jewish,steep Top Word Pairs in Tweet in G4:
[70] #ge2019,#generalelection2019 [40] #generalelection2019,#ge2019 [39] vote,#ge2019 [33] don,t [30] #votelabour,#ge2019 [27] vote,today [26] make,sure [26] vote,labour [26] #ge2019,#ge19 [25] #ge2019,#votelabour Top Word Pairs in Tweet in G5:
[388] #ge2019,#generalerection [383] dailymirror,utterly [383] utterly,superb [383] superb,election [383] election,ve [383] ve,set [383] set,agenda [383] agenda,more [383] more,paper [383] paper,historic Top Word Pairs in Tweet in G6:
[383] right,wing [381] steve,coogan [378] #ge2019,#fridgegate [372] coogan,future [372] future,country [372] country,stake [372] stake,right [372] wing,tory [372] tory,fundamentalist [372] fundamentalist,politicians Top Word Pairs in Tweet in G7:
[195] #ge2019,#votesnp [153] #votesnp,#ge2019 [126] tories,out [125] vote,snp [100] scotland,s [100] make,scotland [100] scotland,tory [100] tory,free [88] worked,hard [85] general,election Top Word Pairs in Tweet in G8:
[225] future,#ge2019 [222] vote,family [222] family,need [222] need,nhs [222] nhs,afford [222] afford,education [222] education,skin [222] skin,white [222] white,business [222] business,suffer Top Word Pairs in Tweet in G9:
[486] think,those [243] think,grenfell [243] grenfell,think [243] think,windrush [243] windrush,think [243] think,homeless [243] homeless,think [243] those,sick [243] sick,think [243] those,disabilities Top Word Pairs in Tweet in G10:
[27] vote,green [23] now,#ge2019 [21] important,message [21] message,voters [20] #ge2019,#generalelection2019 [19] volume,up [19] up,thank [19] thank,endorsement [19] endorsement,carolinelucas [19] carolinelucas,important Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: