The graph represents a network of 12,512 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 Wednesday, 11 December 2019 at 05:38 UTC.
The tweets in the network were tweeted over the 6-hour, 8-minute period from Tuesday, 10 December 2019 at 23:15 UTC to Wednesday, 11 December 2019 at 05:23 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 : 12512
Unique Edges : 27187
Edges With Duplicates : 5247
Total Edges : 32434
Self-Loops : 2092
Reciprocated Vertex Pair Ratio : 0.00154381933723477
Reciprocated Edge Ratio : 0.00308287926584457
Connected Components : 605
Single-Vertex Connected Components : 312
Maximum Vertices in a Connected Component : 11347
Maximum Edges in a Connected Component : 31045
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.34077
Graph Density : 0.000178206349767703
Modularity : 0.586639
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 12,512 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 Wednesday, 11 December 2019 at 05:38 UTC.
The tweets in the network were tweeted over the 6-hour, 8-minute period from Tuesday, 10 December 2019 at 23:15 UTC to Wednesday, 11 December 2019 at 05:23 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:
[1306] jeremy,corbyn [940] #votelabour,#ge2019 [893] fork,road [891] yougov,mrp [825] #ge2019,#votelabour [747] s,fork [665] year,old [665] #ge2019,#brexit [656] don,t [641] 4,year Top Word Pairs in Tweet in G1:
[427] yougov,mrp [238] don,t [230] days,go [226] mrp,poll [218] hugh,grant [210] country,tory [210] tory,beaten [210] beaten,beaten [195] johnson,majority [191] #ge2019,#votesnp Top Word Pairs in Tweet in G2:
[472] dr,david [472] david,wrigley [444] brexit,party [357] uk,#ge2019 [332] snp,41 [320] lab,231 [312] grn,1 [311] seat,projection [309] mrp,seat [309] pc,4 Top Word Pairs in Tweet in G3:
[745] fork,road [727] s,fork [459] jeremy,corbyn [392] make,sure [385] wanted,share [368] video,kenloachsixteen [368] kenloachsixteen,team [368] choices,make [368] make,reveal [368] reveal,s Top Word Pairs in Tweet in G4:
[498] #ge2019,#votelabour [382] #votelabour,#ge2019 [350] #generalelections2019,#ge2019 [322] front,page [319] leading,news [319] news,bulletin [319] bulletin,front [319] page,paper [319] paper,respect [319] respect,mirror Top Word Pairs in Tweet in G5:
[289] jeremy,corbyn [249] fans,singing [249] oh,jeremy [247] liverpool,fans [245] corbyn,#ge2019 [244] think,liverpool [244] singing,oh [43] #votelabour,#ge2019 [41] tories,utterly [41] utterly,corrupt Top Word Pairs in Tweet in G6:
[325] #votelabouractually,#ge2019 [205] #ge2019,#brexit [204] boris,came [204] came,local [204] local,one [204] one,lads [204] lads,sure [204] sure,#votelabouractually [85] moving,reminder [85] reminder,need Top Word Pairs in Tweet in G7:
[189] majority,28 [186] #ge2019,skynews [179] skynews,bbcnews [177] tory,majority [177] latest,yougov [177] marginal,seats [177] bbcnews,itvnews [177] itvnews,channel4news [176] 28,being [176] being,reported Top Word Pairs in Tweet in G8:
[141] #ge2019,#brexit [113] hugh,grant [113] country,tory [113] tory,beaten [113] beaten,beaten [110] beaten,country [110] emergency,#ge2019 [105] country,faces [105] faces,emergency [102] grant,anywhere Top Word Pairs in Tweet in G9:
[19] na,na [18] #generalelections2019,#ge2019 [12] #ge2019,#generalelection2019 [10] hung,parliament [10] #votelabour,#ge2019 [10] vote,labour [9] #ge19,#ge2019 [8] #ge2019,#generalelections2019 [7] boris,johnson [7] don,t Top Word Pairs in Tweet in G10:
[198] exclusive,nearly [198] nearly,90 [198] 90,conservative [198] conservative,party [198] party,s [198] s,ads [198] ads,december [198] december,far [198] far,promote [198] promote,claims 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 G4:
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: