The graph represents a network of 13,266 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 Friday, 08 November 2019 at 15:24 UTC.
The tweets in the network were tweeted over the 6-hour, 1-minute period from Friday, 08 November 2019 at 07:39 UTC to Friday, 08 November 2019 at 13:40 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 : 13266
Unique Edges : 26346
Edges With Duplicates : 5365
Total Edges : 31711
Self-Loops : 1969
Reciprocated Vertex Pair Ratio : 0.00500277932184547
Reciprocated Edge Ratio : 0.00995575221238938
Connected Components : 696
Single-Vertex Connected Components : 377
Maximum Vertices in a Connected Component : 11734
Maximum Edges in a Connected Component : 29398
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.449316
Graph Density : 0.000154114122530615
Modularity : 0.641437
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,266 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 Friday, 08 November 2019 at 15:24 UTC.
The tweets in the network were tweeted over the 6-hour, 1-minute period from Friday, 08 November 2019 at 07:39 UTC to Friday, 08 November 2019 at 13:40 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:
[2311] jeremy,corbyn [1397] #ge2019,#generalelection2019 [993] boris,johnson [952] campaign,launch [805] general,election [784] number,times [784] times,jeremy [780] #votesnp,#ge2019 [741] #ge2019,#brexit [619] #ge2019,campaign Top Word Pairs in Tweet in G1:
[475] jeremy,corbyn [326] #ge2019,#bbcqt [299] first,big [298] queuing,round [298] round,block [296] see,jeremy [296] jeremy,corbyn's [296] corbyn's,first [296] big,rally [288] general,election Top Word Pairs in Tweet in G2:
[395] #ge2019,#brexit [263] northern,ireland [220] boris,johnson [169] ian,austin [164] #toni2win,#ge2019 [163] former,labour [162] political,party [139] general,election [139] read,more [136] checks,between Top Word Pairs in Tweet in G3:
[758] #votesnp,#ge2019 [475] #ge2019,campaign [367] boris,johnson [276] campaign,launch [268] future,trade [231] thesnp,#ge2019 [228] jeremy,corbyn [220] introduce,bill [210] trade,deal [209] scotland,s Top Word Pairs in Tweet in G4:
[1303] jeremy,corbyn [829] #ge2019,#generalelection2019 [706] number,times [706] times,jeremy [373] corbyn,favourite [373] favourite,propaganda [373] propaganda,channel [373] channel,attempts [373] attempts,justify [373] justify,actions Top Word Pairs in Tweet in G5:
[443] campaign,launch [437] conservatives,campaign [435] launch,versus [435] versus,reality [435] reality,#ge2019 [433] smoke,mirrors [433] mirrors,image [433] image,conservatives [141] borisjohnson,jeremycorbyn [140] jeremycorbyn,joswinson Top Word Pairs in Tweet in G6:
[166] labour,candidate [162] gideon,bull [146] clacton,labour [141] anti,semitic [138] over,accusation [138] semitic,term [134] breaking,clacton [134] candidate,gideon [134] bull,quits [134] quits,over Top Word Pairs in Tweet in G7:
[408] cost,cancer [408] cancer,treatment [408] treatment,bankrupts [408] bankrupts,staggering [408] staggering,42 [408] 42,patients [408] patients,two [408] two,years [408] years,even [408] even,health Top Word Pairs in Tweet in G8:
[97] remain_labour,pledge [88] #ge2019,#votelabour2019 [84] up,#ge2019 [84] extent,russian [84] russian,backed [84] backed,fraud [84] fraud,means [84] means,referendum [83] pledge,#ge2019 [82] new,'the Top Word Pairs in Tweet in G9:
[33] #ge2019,#generalelection2019 [23] #generalelection2019,#ge2019 [22] boris,johnson [19] #ge2019,#generalelection19 [18] general,election [12] #generalelection19,#ge2019 [11] jeremy,corbyn [10] #brexit,#ge2019 [10] #votelabour,#ge2019 [10] don,t Top Word Pairs in Tweet in G10:
[262] vote,#ge2019 [261] tactical,voting [260] poll,finds [260] finds,60 [260] 60,britons [260] britons,want [260] want,keep [260] keep,eu [260] eu,citizenship [260] citizenship,vote Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
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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:
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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: