The graph represents a network of 10,628 Twitter users whose recent tweets contained "list:Europarl_EN/all-meps-on-twitter", 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 Tuesday, 14 May 2019 at 09:52 UTC.
The tweets in the network were tweeted over the 6-day, 3-hour, 3-minute period from Wednesday, 08 May 2019 at 05:14 UTC to Tuesday, 14 May 2019 at 08:17 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 : 10791
Unique Edges : 23265
Edges With Duplicates : 39607
Total Edges : 62872
Number of Edge Types : 4
Mentions : 40937
Replies to : 4110
Tweet : 8166
Retweet : 9659
Self-Loops : 8540
Reciprocated Vertex Pair Ratio : 0.120867970183039
Reciprocated Edge Ratio : 0.21566852367688
Connected Components : 44
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 10659
Maximum Edges in a Connected Component : 62438
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.795961
Graph Density : 0.000246661460323448
Modularity : 0.371429
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1878] de,la [606] brexit,party [455] en,el [395] en,la [345] de,los [298] de,las [291] à,la [234] 26,mai [231] la,liste [230] pour,la Top Word Pairs in Tweet in G1:
[572] brexit,party [193] nigel,farage [129] european,elections [110] vote,labour [106] european,parliament [90] vote,brexit [83] change,uk [69] eu,elections [66] leave,eu [64] lib,dems Top Word Pairs in Tweet in G2:
[153] de,la [121] van,de [97] 26,mai [94] sinn,féin [82] voor,de [74] il,faut [73] de,europese [72] à,la [70] pour,la [53] le,26 Top Word Pairs in Tweet in G3:
[939] de,la [391] en,el [324] en,la [270] de,los [243] de,las [189] el,#26m [166] pérez,rubalcaba [163] alfredo,pérez [137] por,el [131] que,el Top Word Pairs in Tweet in G4:
[63] platforma_org,newsplatforma [54] #wielkiwybór,#przyszłośćpolski [49] dziękuję,za [43] #koalicjaeuropejska,#wielkiwybór [43] #europana5,#drużynaboniego [40] #polskasercemeuropy,#pis4you [38] 26,maja [36] nie,ma [33] #przyszłośćpolski,#wielkiwybór [31] grzybandrzej,nowepsl Top Word Pairs in Tweet in G5:
[471] de,la [184] à,la [172] la,liste [131] sur,le [130] pour,la [128] pour,les [124] la,france [115] et,de [105] 26,mai [95] sur,la Top Word Pairs in Tweet in G6:
[72] il,#26maggio [63] per,la [58] per,il [56] 26,maggio [43] con,la [40] è,un [35] non,è [35] il,26 [35] elezioni,europee [33] per,le Top Word Pairs in Tweet in G7:
[50] de,la [26] für,die [24] lo,que [22] de,los [21] #ep2019,#euwahl2019 [21] das,ist [20] en,la [20] #eureantwort,#ep2019 [19] #nzzpodium,#eureantwort [19] der,eu Top Word Pairs in Tweet in G8:
[106] det,är [72] för,att [47] eu,valet [40] soraya,post [36] är,det [32] är,en [29] att,det [27] inför,eu [27] jag,är [27] är,inte Top Word Pairs in Tweet in G9:
[120] imageplotter,arminlaschet [120] arminlaschet,cnn [120] cnn,ard_presse [120] ard_presse,dirklaabs [120] dirklaabs,frontal21 [120] frontal21,correctiv_org [120] correctiv_org,brexit_sham [120] charlestannock,julie4nw [120] julie4nw,mollymep [120] gavinesler,guyverhofstadt Top Word Pairs in Tweet in G10:
[24] #kokoomus,#euvaalit2019 [13] eurooppa,päivää [12] ei,ole [11] hyvää,eurooppa [11] #euvaalit2019,#eurooppapäivä [10] sta,ja [8] sanoo,spietikainen [7] eu,sta [7] eu,ja [7] katso,video Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: