The graph represents a network of 885 Twitter users whose recent tweets contained "wales #brexit", 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, 25 December 2020 at 17:05 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 36-minute period from Thursday, 17 December 2020 at 15:26 UTC to Friday, 25 December 2020 at 16:03 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 : 885
Unique Edges : 1981
Edges With Duplicates : 164
Total Edges : 2145
Number of Edge Types : 5
Retweet : 621
MentionsInRetweet : 1130
Mentions : 208
Tweet : 113
Replies to : 73
Self-Loops : 121
Reciprocated Vertex Pair Ratio : 0,00419287211740042
Reciprocated Edge Ratio : 0,00835073068893528
Connected Components : 117
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 592
Maximum Edges in a Connected Component : 1803
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5,102056
Graph Density : 0,00244906306720863
Modularity : 0,560213
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 885 Twitter users whose recent tweets contained "wales #brexit", 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, 25 December 2020 at 17:05 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 36-minute period from Thursday, 17 December 2020 at 15:26 UTC to Friday, 25 December 2020 at 16:03 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 : wales #brexit
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:
[284] fishing,rights [234] wales,labour [234] labour,#covid19 [233] lot,anti [233] anti,borisjohnson [233] borisjohnson,stuff [233] stuff,morning [233] morning,usual [233] usual,think [233] think,good Top Word Pairs in Tweet in G1:
[231] wales,labour [231] labour,#covid19 [230] lot,anti [230] anti,borisjohnson [230] borisjohnson,stuff [230] stuff,morning [230] morning,usual [230] usual,think [230] think,good [230] good,job Top Word Pairs in Tweet in G2:
[282] fishing,rights [141] greenpeace,investigation [141] investigation,companies [141] companies,hold [141] hold,61 [141] 61,fishing [141] rights,england [141] england,44 [141] 44,england [141] england,wales Top Word Pairs in Tweet in G3:
[11] scotland,wales [8] northern,ireland [4] #brexit,deal [4] #brexit,#brexitdeal [4] #wales,#scotland [4] great,britain [4] wales,northern [4] trade,deal [3] welsh,people [3] england,wales Top Word Pairs in Tweet in G4:
[6] live,animal [6] animal,exports [6] exports,banned [6] banned,england [6] england,wales [5] #internalmarketbill,#brexit [4] wales,pleased [4] pleased,nightmare [4] nightmare,protests [4] protests,#brightlingsea Top Word Pairs in Tweet in G5:
[8] brexit,brexit [7] #ireland,#wales [6] hey,#scotland [6] #scotland,ve [6] ve,surrounded [6] surrounded,invade [6] invade,#brexit [6] #brexit,#covid_19 [6] #covid_19,scotgovfm [6] scotgovfm,#england Top Word Pairs in Tweet in G6:
[44] 15,bgcwales [44] bgcwales,involved [44] involved,youth [44] youth,exchanges [44] exchanges,erasmus [44] erasmus,programme [44] programme,enabling [44] enabling,young [44] young,people [44] people,wales Top Word Pairs in Tweet in G7:
[3] ghost_wales,larrainewright1 [3] larrainewright1,#uk [3] #uk,alerted [3] alerted,#who [3] #who,strain [3] strain,week [3] week,tad [3] tad,coincidental [3] coincidental,hitting [3] hitting,tonight Top Word Pairs in Tweet in G8:
[23] better,deal [23] deal,economy [23] economy,businesses [23] businesses,agriculture [23] agriculture,sector [23] sector,significantly [23] significantly,worse [23] worse,course [23] course,conservatives [23] conservatives,delivering Top Word Pairs in Tweet in G9:
[24] doghelpabroad,#donate [24] #england,#wales [13] poor,love [13] love,79 [13] 79,kill [13] kill,shelter [13] shelter,help [13] help,plse [13] plse,hope [13] hope,doghelpabroad Top Word Pairs in Tweet in G10:
[28] codified,constitution [14] england,wales [14] wales,uk [14] uk,codified [14] constitution,#brexit [14] #brexit,zero [14] zero,chance [14] chance,english [14] english,embrace [14] embrace,federalism Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
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: