The graph represents a network of 5,065 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 Wednesday, 04 December 2019 at 10:52 UTC.
The requested start date was Monday, 02 December 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, 0-hour, 56-minute period from Saturday, 30 November 2019 at 07:08 UTC to Sunday, 01 December 2019 at 08:05 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 : 5065
Unique Edges : 6562
Edges With Duplicates : 698
Total Edges : 7260
Number of Edge Types : 3
Tweet : 1167
Mentions : 5909
Replies to : 184
Self-Loops : 1167
Reciprocated Vertex Pair Ratio : 0.00186251269895022
Reciprocated Edge Ratio : 0.0037181003887105
Connected Components : 716
Single-Vertex Connected Components : 339
Maximum Vertices in a Connected Component : 3292
Maximum Edges in a Connected Component : 5385
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.210388
Graph Density : 0.000230689815962784
Modularity : 0.767454
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,065 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 Wednesday, 04 December 2019 at 10:52 UTC.
The requested start date was Monday, 02 December 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, 0-hour, 56-minute period from Saturday, 30 November 2019 at 07:08 UTC to Sunday, 01 December 2019 at 08:05 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 : 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:
[619] boris,johnson [362] general,election [259] google,bans [243] tory,election [230] election,adverts [229] eight,different [226] bans,eight [216] concerns,mount [213] different,tory [211] adverts,disinformation Top Word Pairs in Tweet in G1:
[41] boris,johnson [26] brexit,party [23] general,election [19] depths,borisjohnson [19] borisjohnson,won [19] won,sink [19] sink,politicizing [19] politicizing,deaths [19] deaths,uk [19] uk,citizens Top Word Pairs in Tweet in G2:
[72] general,election [48] election,2019 [32] boris,johnson [26] uk,election [24] tory,election [23] bbc,news [20] different,tory [20] election,adverts [19] google,bans [19] bans,eight Top Word Pairs in Tweet in G3:
[61] andrew,lloyd [61] lloyd,webber [61] webber,trending [61] trending,remind [61] remind,2015 [61] 2015,tory [61] tory,peer [61] peer,worth [61] worth,estimated [61] estimated,650million Top Word Pairs in Tweet in G4:
[75] boris,johnson [39] google,bans [39] bans,eight [39] eight,different [39] election,adverts [39] adverts,disinformation [39] disinformation,concerns [39] concerns,mount [38] different,tory [38] tory,election Top Word Pairs in Tweet in G5:
[100] election,update [100] update,telford [100] telford,hard [100] hard,brexit [100] brexit,conservative [100] conservative,mp [100] mp,lucy [100] lucy,allan [100] allan,faked [100] faked,death Top Word Pairs in Tweet in G6:
[38] voting,corbyn [38] boris,johnson [37] giselastuart,vote [36] lib,dems [34] everyone,considering [34] considering,voting [34] corbyn,labour [34] labour,party [34] party,lib [34] dems,watch Top Word Pairs in Tweet in G7:
[167] uk,predicted [167] predicted,vote [167] vote,image [167] image,homer [167] homer,muumuu [167] muumuu,unsee [166] notstelfc,uk [2] notstelfc,history [2] history,repeats Top Word Pairs in Tweet in G8:
[22] vote,party [22] nicola,sturgeon [21] poisonous,antisemitism [21] antisemitism,means [21] means,vote [21] party,once [14] under,circumstances [13] labour's,poisonous [13] once,loved [13] loved,metrouk Top Word Pairs in Tweet in G9:
[90] much,wrong [90] wrong,corbyn [90] corbyn,british [90] british,people [90] people,starting [90] starting,see [90] see,threat [90] threat,values [89] jolyonmaugham,much [13] tory,election Top Word Pairs in Tweet in G10:
[45] unlike,uk [45] uk,press [45] press,rest [45] rest,world [45] world,sees [45] sees,#marrshow [45] #marrshow,#russiareport [45] #russiareport,#ge2019 [44] larry_mogridge,unlike [44] #ge2019,brit Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: