The graph represents a network of 3,846 Twitter users whose recent tweets contained "#NotMyBrexit", 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, 31 January 2020 at 10:13 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 5-minute period from Thursday, 23 January 2020 at 19:03 UTC to Friday, 31 January 2020 at 10:09 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.
Vertices : 3846
Unique Edges : 4808
Edges With Duplicates : 921
Total Edges : 5729
Number of Edge Types : 5
Tweet : 1195
Retweet : 3438
Replies to : 614
MentionsInRetweet : 261
Mentions : 221
Self-Loops : 1224
Reciprocated Vertex Pair Ratio : 0.000979911807937286
Reciprocated Edge Ratio : 0.00195790504160548
Connected Components : 832
Single-Vertex Connected Components : 673
Maximum Vertices in a Connected Component : 2703
Maximum Edges in a Connected Component : 4471
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.828181
Graph Density : 0.000276307541248334
Modularity : 0.63592
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,846 Twitter users whose recent tweets contained "#NotMyBrexit", 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, 31 January 2020 at 10:13 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 5-minute period from Thursday, 23 January 2020 at 19:03 UTC to Friday, 31 January 2020 at 10:09 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 : #NotMyBrexit
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[777] very,sad [728] sad,#notmybrexit [723] 47,years [722] auld,lang [722] lang,syne [722] syne,47 [722] years,success [722] success,through [722] through,partnership [722] partnership,eu Top Word Pairs in Tweet in G1:
[629] auld,lang [629] lang,syne [629] syne,47 [629] 47,years [629] years,success [629] success,through [629] through,partnership [629] partnership,eu [629] eu,parlament [629] parlament,sings Top Word Pairs in Tweet in G2:
[42] sad,day [39] #brexitday,#notmybrexit [39] #notmybrexit,#notmybrexit [24] #notmybrexit,#brexitday [19] day,#notmybrexit [16] #notmybrexit,#forevereuropean [15] #notmybrexit,#notinmyname [14] very,sad [11] didn,t [11] #notmybrexit,#brexitreality Top Word Pairs in Tweet in G3:
[179] 51,9 [133] never,give [120] #forevereuropean,#notmybrexit [115] good,morning [115] except,51 [115] 9,voted [115] voted,shit [114] uk,leaving [113] morning,everyone [113] everyone,except Top Word Pairs in Tweet in G4:
[303] uk,leaving [302] don,t [300] never,forget [300] forget,uk [300] leaving,worlds [300] worlds,biggest [300] biggest,trading [300] trading,bloc [300] bloc,peace [300] peace,project Top Word Pairs in Tweet in G5:
[105] live,eu [99] endured,3 [99] 3,years [99] years,being [99] being,called [99] called,bitch [99] bitch,c [99] c,nt [99] nt,traitor [99] traitor,commie Top Word Pairs in Tweet in G6:
[276] #brexit,#brexitlies [276] #brexitlies,#robertmercer [276] #robertmercer,#stevebannon [276] #stevebannon,#cambridgeanalytica [276] #cambridgeanalytica,#thegreathack [276] #thegreathack,#dataharvesting [276] #dataharvesting,#targeteddarkads [276] #targeteddarkads,#facebooktargeting [276] #democracyisdead,#notmybrexit [258] #facebooktargeting,#erg Top Word Pairs in Tweet in G7:
[40] #brexitday,#notmybrexit [38] give,one [38] one,word [38] word,describe [38] describe,nigel [38] nigel,farage [38] farage,asked [38] asked,people [38] people,brussels [38] brussels,give Top Word Pairs in Tweet in G8:
[106] dear,bbcpolitics [106] bbcpolitics,brexit [106] brexit,approaches [106] approaches,eu [106] eu,anthem [106] anthem,#odetojoy [106] #odetojoy,reached [106] reached,top [106] top,amazon's [106] amazon's,download Top Word Pairs in Tweet in G9:
[64] #notmybrexit,#notmypm [62] borisjohnson,signed [62] signed,away [62] away,country's [62] country's,prosperity [62] prosperity,please [62] please,oligarch [62] oligarch,chums [62] chums,#notmybrexit [9] #notmypm,#notmybrexit Top Word Pairs in Tweet in G10:
[26] good,see [26] see,#sodem [26] #sodem,eunity [26] eunity,flag [26] flag,flying [26] flying,#bettertogether [26] #bettertogether,#notmybrexit [13] #brexitday,#notmybrexit [10] #notinmyname,#notmybrexit [8] auld,lang Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: