The graph represents a network of 9,617 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, 18 June 2019 at 11:34 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 57-minute period from Saturday, 08 June 2019 at 14:15 UTC to Tuesday, 18 June 2019 at 10:12 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.
[9293] en
[2692] es
[2047] fr
[1773] pl
[1510] de
[1120] nl
[856] it
[654] ca
[409] und
[309] cs
[5423] en
[90] und
[9] sl
[7] it
[6] fr
[5] de
[5] pt
[4] in
[3] es
[3] nl
[1719] fr
[919] en
[628] ca
[413] es
[216] de
[103] pl
[85] nl
[82] und
[39] it
[35] el
[1627] es
[587] en
[200] pt
[65] fr
[30] und
[21] eu
[20] ca
[6] it
[3] de
[3] da
[1534] pl
[220] en
[44] und
[5] fi
[4] tl
[4] es
[4] cs
[4] in
[2] it
[2] pt
[662] de
[222] en
[18] und
[15] fr
[14] tr
[4] uk
[2] pt
[2] cs
[1] lt
[1] da
[735] nl
[138] en
[12] es
[11] und
[11] de
[7] fr
[1] it
[1] tr
[1] et
[502] en
[24] und
[19] it
[5] cy
[2] is
[2] fi
[745] it
[37] en
[16] cs
[8] es
[4] und
[2] fr
[2] pt
[576] de
[67] en
[20] und
[2] lt
[2] in
[1] pt
[1] nl
[1] fr
[1] tl
[1] tr
[457] es
[42] sv
[20] en
[12] fr
[7] pt
[7] und
[2] it
[1] fi
Author Description
Vertices : 9617
Unique Edges : 16956
Edges With Duplicates : 19350
Total Edges : 36306
Number of Edge Types : 4
Retweet : 8234
Tweet : 7143
Replies to : 2902
Mentions : 18027
Self-Loops : 7382
Reciprocated Vertex Pair Ratio : 0.0419092606832912
Reciprocated Edge Ratio : 0.0804470451789762
Connected Components : 66
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 9427
Maximum Edges in a Connected Component : 35919
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.63749
Graph Density : 0.00020512111369616
Modularity : 0.455501
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[205] boris,johnson [150] prime,minister [124] deal,brexit [109] brexit,party [102] rory,stewart [98] european,parliament [96] tory,leadership [88] years,ago [79] hong,kong [77] climate,change Top Word Pairs in Tweet in G1:
[174] boris,johnson [108] brexit,party [104] deal,brexit [99] prime,minister [95] rory,stewart [80] tory,leadership [74] leave,eu [62] nigel,farage [60] deliver,brexit [55] general,election Top Word Pairs in Tweet in G2:
[57] parlement,européen [45] study,days [41] san,sebastián [38] european,parliament [37] amb,els [32] ce,matin [29] san,sebastian [28] manuel,valls [25] els,comuns [23] days,san Top Word Pairs in Tweet in G3:
[52] sarafernandezcs,pilar_alegria [50] extrema,derecha [42] parlamento,europeo [30] pilar_alegria,sarafernandezcs [24] sarafernandezcs,rdominguezcs [22] cszaragoza_,sarafernandezcs [22] rdominguezcs,pilar_alegria [22] pilar_alegria,zaragozapsoe [19] pp,ciudadanos [18] sara,fernández Top Word Pairs in Tweet in G4:
[50] nie,ma [34] #forumidei,#fundacjabatorego [25] się,nie [21] ullaulcik,prymitywnakuch [20] nie,tylko [16] lat,temu [15] gotowaniezpasja,gotowanie [15] gotowanie,kuchniabazylii [15] kuchniabazylii,ullaulcik [15] prymitywnakuch,psmaki Top Word Pairs in Tweet in G5:
[62] warum,warum [12] weil,die [12] davidclowery,unite4copyright [12] unite4copyright,creativefuture [11] die,grünen [8] iwan,golunow [8] cdu,csu [8] loxatus,ifpi_org [8] ifpi_org,impalamusic [8] parrothh,neilturkewitz Top Word Pairs in Tweet in G6:
[11] sea,watch [10] ik,ben [10] 10,jaar [10] dit,zijn [10] mensen,die [10] dat,niet [9] niet,meer [9] naar,nederland [9] dat,ze [8] ook,nog Top Word Pairs in Tweet in G7:
[29] sinn,féin [17] well,done [14] voting,rights [12] medicinal,cannabis [10] irish,citizens [8] bígí,linn [7] water,charges [7] good,friday [7] friday,agreement [7] ming,flanagan Top Word Pairs in Tweet in G8:
[16] ci,sono [16] #portaaporta,raiportaaporta [15] sempre,più [15] non,ci [13] gli,italiani [11] non,sono [10] nostro,paese [10] anni,fa [10] cade,pezzi [9] fratelliditaiia,giorgiameloni Top Word Pairs in Tweet in G9:
[17] die,grünen [8] sebastian,kurz [8] millionen,euro [8] die,politik [8] die,övp [8] hcstrachefp,wkogler [7] werner,kogler [7] gegen,die [7] wkogler,karli [6] spitzenkandidat,die Top Word Pairs in Tweet in G10:
[12] estados,unidos [12] huelga,general [12] #boicotamazon,jeffbezos [10] jeffbezos,marseglia [9] reino,unido [8] campos,concentración [8] concentración,franco [8] extrema,derecha [8] médicos,cubanos [6] sáhara,occidental 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: