The graph represents a network of 10,629 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 Monday, 20 May 2019 at 12:50 UTC.
The tweets in the network were tweeted over the 5-day, 11-hour, 37-minute period from Tuesday, 14 May 2019 at 23:44 UTC to Monday, 20 May 2019 at 11:22 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.
[10217] en
[3365] fr
[3354] es
[2596] de
[1771] it
[1756] pl
[1271] nl
[1091] ca
[849] sv
[687] und
[6635] en
[120] und
[28] de
[11] fr
[7] et
[4] cy
[3] ht
[3] pt
[2] sv
[2] es
[2297] de
[979] fr
[877] en
[275] nl
[166] und
[143] it
[57] sl
[54] es
[47] cs
[21] sv
[2246] fr
[721] nl
[485] it
[213] en
[87] und
[21] el
[10] de
[10] da
[6] pt
[5] tl
[2447] es
[1060] ca
[125] eu
[123] en
[56] pt
[38] und
[18] nl
[17] fr
[4] it
[3] de
[1710] pl
[65] und
[31] en
[8] it
[6] fr
[2] uk
[1] cs
[1] hu
[1] tl
[1] es
[1160] en
[20] und
[4] cy
[2] it
[1] fi
[933] it
[19] en
[7] und
[7] es
[3] fr
[1] tl
[638] es
[22] en
[21] und
[7] pt
[4] ca
[2] it
[2] de
[1] fr
[816] sv
[87] en
[14] und
[6] no
[4] es
[3] ca
[2] fr
[2] fi
[2] tr
[1] in
[548] fi
[40] en
[9] it
[9] el
[6] sv
[2] et
[1] und
[1] es
[1] tl
Author Description
Vertices : 10753
Unique Edges : 22070
Edges With Duplicates : 36723
Total Edges : 58793
Number of Edge Types : 4
Mentions : 36615
Replies to : 4250
Tweet : 8268
Retweet : 9660
Self-Loops : 8607
Reciprocated Vertex Pair Ratio : 0.123486478504831
Reciprocated Edge Ratio : 0.219827262485918
Connected Components : 57
Single-Vertex Connected Components : 31
Maximum Vertices in a Connected Component : 10630
Maximum Edges in a Connected Component : 58342
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.858516
Graph Density : 0.000230330932010115
Modularity : 0.375981
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[634] brexit,party [293] 26,mai [224] nigel,farage [188] european,parliament [168] european,elections [153] ce,soir [149] far,right [146] parlamento,europeo [142] #combatscommuns,#enviedeurope [127] parlement,européen Top Word Pairs in Tweet in G1:
[623] brexit,party [208] nigel,farage [128] european,elections [128] european,parliament [108] vote,labour [103] far,right [102] vote,brexit [96] change,uk [81] next,week [78] mep,candidates Top Word Pairs in Tweet in G2:
[142] #combatscommuns,#enviedeurope [91] 26,mai [77] rglucks1,faureolivier [73] chtaubira,rglucks1 [72] faureolivier,mebareknora [71] mebareknora,thomasroller [70] thomasroller,placepublique_ [69] placepublique_,pjouvet [68] pjouvet,vauzelle [67] vauzelle,larrouturou Top Word Pairs in Tweet in G3:
[195] 26,mai [97] ce,soir [86] parlement,européen [67] piazza,duomo [64] ce,matin [53] réunion,publique [51] #rouenfi,direct [44] manonaubry,francois_ruffin [42] 23,mei [41] francois_ruffin,#rouenfi Top Word Pairs in Tweet in G4:
[90] president,krls [83] parlamento,europeo [62] #debateheraldo26m,#pilaralcaldesa [59] elecciones,europeas [46] extrema,derecha [45] 26,mayo [42] #juntsxeuropa,#femhojunts [41] l',ernestmaragall [35] tots,els [35] conseller,quimforn Top Word Pairs in Tweet in G5:
[64] marsz,#polskaweuropie [61] parlamentu,europejskiego [59] #polskasercemeuropy,#pis4you [55] #polskaweuropie,#koalicjaeuropejska [54] keuropejska,platforma_org [49] unii,europejskiej [49] platforma_org,newsplatforma [48] #koalicjaeuropejska,#wielkiwybór [46] #wielkiwybór,#przyszłośćpolski [46] jsaryuszwolski,#pr24 Top Word Pairs in Tweet in G6:
[92] sinn,féin [54] martina,anderson [33] #euroming2019,#takingthejobseriously [30] european,election [28] fine,gael [26] #takingthejobseriously,#euelections2019 [22] marriage,equality [21] lynn,boylan [16] european,parliament [16] thursday,23rd Top Word Pairs in Tweet in G7:
[71] gruppoficamera,gruppofisenato [59] forza_italia,gruppoficamera [52] matteosalvinimi,giorgiameloni [52] giorgiameloni,emmabonino [52] 26,maggio [51] emmabonino,forza_italia [29] #cesaperilsud,#scrivicesa [28] #europee2019,#cesaperilsud [22] parlamento,europeo [20] #piufortineuropa,#scrividecastro Top Word Pairs in Tweet in G8:
[43] javier,couso [27] couso,caninator [20] parlamento,europeo [20] izquierda,positivo [20] jesús,santrich [18] neofascismo,logrando [18] logrando,enfrentar [18] enfrentar,pobres [18] pobres,contra [14] #cousoaeuropa,#hopelsback Top Word Pairs in Tweet in G9:
[60] det,är [39] är,det [31] eu,valet [23] att,det [21] #europeneedsfeminism,#euval2019 [17] mänskliga,rättigheter [17] inför,#euval2019 [16] våld,mot [14] mot,kvinnor [14] rösta,rosa Top Word Pairs in Tweet in G10:
[25] ei,ole [12] heidihautala,miapetrakumpula [12] miapetrakumpula,ljaakonsaari [11] eu,ssa [11] ljaakonsaari,longplay_fi [10] #kujo2019,#yrittäjät [10] #yrittäjät,#euvaalit2019 [10] tuuliap,pekkapuska1 [8] eu,vaaleissa [8] klo,14 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 G9:
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: