The graph represents a network of 8,859 Twitter users whose recent tweets contained "#Brexit", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 12:27 UTC.
The tweets in the network were tweeted over the 7-hour, 59-minute period from Monday, 04 November 2019 at 04:11 UTC to Monday, 04 November 2019 at 12:10 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 : 8859
Unique Edges : 14554
Edges With Duplicates : 3114
Total Edges : 17668
Number of Edge Types : 4
Tweet : 1811
Replies to : 1337
Mentions : 7212
Retweet : 7308
Self-Loops : 2009
Reciprocated Vertex Pair Ratio : 0.00878734622144113
Reciprocated Edge Ratio : 0.0174216027874564
Connected Components : 1263
Single-Vertex Connected Components : 662
Maximum Vertices in a Connected Component : 6159
Maximum Edges in a Connected Component : 14346
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.719418
Graph Density : 0.000182865392898976
Modularity : 0.65932
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 8,859 Twitter users whose recent tweets contained "#Brexit", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 04 November 2019 at 12:27 UTC.
The tweets in the network were tweeted over the 7-hour, 59-minute period from Monday, 04 November 2019 at 04:11 UTC to Monday, 04 November 2019 at 12:10 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 : #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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[465] #ge2019,#brexit [380] general,election [327] 100yro,ww2 [327] ww2,vet [327] vet,#brexit [327] #brexit,breaks [327] breaks,heart [327] heart,struggle [327] struggle,sacrifice [327] sacrifice,makes Top Word Pairs in Tweet in G1:
[288] #brexit,#now [181] voted,leave [159] 17,million [145] #brexit,17 [144] voted,voted [143] know,voted [143] status,quo [142] remainers,know [142] voted,status [142] quo,democracy Top Word Pairs in Tweet in G2:
[308] 100yro,ww2 [308] ww2,vet [308] vet,#brexit [308] #brexit,breaks [308] breaks,heart [308] heart,struggle [308] struggle,sacrifice [308] sacrifice,makes [308] makes,cry [308] cry,thinking Top Word Pairs in Tweet in G3:
[22] boris,johnson [19] #brexit,#generalelection2019 [15] general,election [14] nigel,farage [11] #eu,#euro2020 [11] #euro2020,#brexit [11] #brexit,#french [11] #french,#british [11] #british,#saveyokohama [11] #saveyokohama,#pourquoituabandonnesyokohama Top Word Pairs in Tweet in G4:
[237] #ge2019,#brexit [222] amp,accept [219] chuka,umunna [219] umunna,told [219] told,juliahb1 [219] juliahb1,weve [219] weve,always [219] always,clear [219] clear,main [219] main,goal Top Word Pairs in Tweet in G5:
[53] big,pharma [50] way,#brexit [47] interesting,jeremycorbyn [47] jeremycorbyn,doesn [47] doesn,mention [47] mention,hoarding [47] hoarding,price [47] price,gouging [47] gouging,committed [47] committed,european Top Word Pairs in Tweet in G6:
[32] brexit,party [31] nigel,farage [28] #brexit,#eu [26] end,marxist [26] marxist,10 [26] 10,brexit [26] brexit,actions [26] actions,public [26] public,never [26] never,forgive Top Word Pairs in Tweet in G7:
[21] georgegalloway,rt_com [21] rt_com,rtuknews [21] rtuknews,sputnikint [19] uklabour,conservatives [18] sunday,audience [18] audience,double [18] double,audience [18] audience,sophie [18] sophie,ridge [18] ridge,skynews Top Word Pairs in Tweet in G8:
[59] #brexit,delivered [57] #farage,strategy [57] strategy,correct [57] correct,one [57] one,nationally [57] nationally,known [57] known,figure [57] figure,help [57] help,win [57] win,argument Top Word Pairs in Tweet in G9:
[217] brexit,done [216] bored,election [108] apparently,already [108] already,'tired [108] 'tired,of' [108] of',austerity [108] austerity,bored [108] election,brexit [108] done,actually [108] actually,iike Top Word Pairs in Tweet in G10:
[27] make,sure [25] clear,challenging [25] challenging,times [25] times,ahead [25] ahead,stephengethins [25] stephengethins,far [25] far,best [25] best,#ge2019 [25] #ge2019,candidate [25] candidate,north 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: