The graph represents a network of 5,662 Twitter users whose tweets in the requested range contained "UK (Election OR Vote)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 18 February 2020 at 12:27 UTC.
The requested start date was Tuesday, 18 February 2020 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, 8-minute period from Thursday, 13 February 2020 at 20:57 UTC to Saturday, 15 February 2020 at 00:06 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 : 5662
Unique Edges : 6881
Edges With Duplicates : 615
Total Edges : 7496
Number of Edge Types : 4
MentionsInRetweet : 5449
Replies to : 420
Mentions : 1090
Tweet : 537
Self-Loops : 537
Reciprocated Vertex Pair Ratio : 0.00513362524535709
Reciprocated Edge Ratio : 0.0102148114766411
Connected Components : 582
Single-Vertex Connected Components : 202
Maximum Vertices in a Connected Component : 3692
Maximum Edges in a Connected Component : 5299
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.457769
Graph Density : 0.00020768997642686
Modularity : 0.845276
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,662 Twitter users whose tweets in the requested range contained "UK (Election OR Vote)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 18 February 2020 at 12:27 UTC.
The requested start date was Tuesday, 18 February 2020 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, 8-minute period from Thursday, 13 February 2020 at 20:57 UTC to Saturday, 15 February 2020 at 00:06 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 : UK (Election OR Vote)
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:
[606] million,views [544] 2020,last [542] last,free [542] free,election [535] worry,2020 [528] shown,interest [527] experts,authoritarianism [526] authoritarianism,worry [526] election,republicans [526] republicans,shown Top Word Pairs in Tweet in G1:
[570] million,views [339] boris,johnson [296] know,forgotten [296] report,russian [295] russian,interference [274] forget,report [272] over,million [272] views,still [272] still,silence [272] silence,borisjohnson Top Word Pairs in Tweet in G2:
[438] worry,2020 [438] 2020,last [436] last,free [436] free,election [435] experts,authoritarianism [435] shown,interest [434] authoritarianism,worry [434] election,republicans [434] republicans,shown [433] andrewfeinberg,experts Top Word Pairs in Tweet in G3:
[212] rotherham,council [164] bilderberg_gp,brexiteers [148] brexiteers,talk [148] talk,rubbing [148] rubbing,salt [148] salt,gaping [148] gaping,wound [148] wound,whole [148] whole,lot [148] lot,rotherham Top Word Pairs in Tweet in G4:
[70] emily,thornberry [70] thornberry,rejected [70] rejected,candidates [70] candidates,left [70] left,lisa [70] lisa,nandy [70] nandy,loves [70] loves,expenses [70] expenses,corbyn [70] corbyn,dress Top Word Pairs in Tweet in G5:
[23] election,2020 [18] sexuality,becomes [18] becomes,campaign [18] campaign,issue [17] 2020,buttigieg [17] buttigieg,sexuality [15] bernie,sanders [9] voatz,confidence [9] confidence,boffins [9] boffins,eviscerate Top Word Pairs in Tweet in G6:
[36] lisanandy,womans_place_uk [33] ruthserwotka,lisanandy [32] believe,public [32] public,services [32] services,assets [32] assets,public [32] public,hands [32] hands,need [32] need,make [32] make,case Top Word Pairs in Tweet in G7:
[184] tesla,thought [184] thought,opening [184] opening,plant [184] plant,heywood [184] heywood,greater [184] greater,manchester [184] manchester,brexit [184] brexit,plumped [184] plumped,germany [184] germany,instead Top Word Pairs in Tweet in G8:
[47] uklabour,members [38] pity,storm [38] storm,dennis [38] dennis,longer [38] longer,rattle [38] rattle,corridors [38] corridors,power [38] power,labour [38] labour,stalwart [38] stalwart,dennis Top Word Pairs in Tweet in G9:
[134] labour,party [134] party,member [134] member,1994 [134] 1994,vote [134] vote,candidate [134] candidate,abolish [134] abolish,sex [134] sex,based [134] based,protections [134] protections,young Top Word Pairs in Tweet in G10:
[43] send,back [43] back,somalia [43] somalia,exclusive [43] exclusive,group [43] group,somalian [43] somalian,thugs [43] thugs,wreak [43] wreak,terror [43] terror,birmingham [43] birmingham,hospital 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 G6:
Top Replied-To in G7:
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:
Top Mentioned in G3:
Top Mentioned in G4:
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: