The graph represents a network of 13,924 Twitter users whose recent tweets contained "Europarl", 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 Thursday, 18 June 2020 at 12:28 UTC.
The tweets in the network were tweeted over the 2-day, 8-hour, 4-minute period from Tuesday, 16 June 2020 at 03:54 UTC to Thursday, 18 June 2020 at 11:59 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 : 2940
Unique Edges : 7283
Edges With Duplicates : 2717
Total Edges : 10000
Number of Edge Types : 5
MentionsInRetweet : 6198
Retweet : 1322
Replies to : 416
Mentions : 2037
Tweet : 27
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.00233961334810984
Reciprocated Edge Ratio : 0.00466830466830467
Connected Components : 72
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 2671
Maximum Edges in a Connected Component : 9695
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.732659
Graph Density : 0.000942057666891187
Modularity : 0.626845
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 13,924 Twitter users whose recent tweets contained "Europarl", 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 Thursday, 18 June 2020 at 12:28 UTC.
The tweets in the network were tweeted over the 2-day, 8-hour, 4-minute period from Tuesday, 16 June 2020 at 03:54 UTC to Thursday, 18 June 2020 at 11:59 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 : Europarl
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 G2:
[148] imatge,josepborrellf [144] josepborrellf,amb [143] amb,els [143] els,#gal [143] #gal,vol [143] vol,difongui [143] difongui,tots [143] tots,aquells [143] aquells,socialistes [143] socialistes,pateixen Top Word Pairs in Tweet in G3:
[40] #godblessipob,#godblessipob [40] realdonaldtrump,borisjohnson [40] happening,nigeria [40] borisjohnson,netanyahu [40] netanyahu,statedept [40] statedept,ngrsenate [40] ngrsenate,europarl_en [40] world,leaders [40] leaders,muhammad [40] muhammad,buhari Top Word Pairs in Tweet in G4:
[253] ep_president,europarl_de [70] europarl_de,cdu [49] glaube,alle [49] alle,politiker [49] politiker,die [49] die,gegen [49] gegen,transparenz [48] transparenz,wehren [48] wehren,dafür [48] dafür,gründe Top Word Pairs in Tweet in G5:
[48] franztimmermans,europarl_nl [48] watch,very [37] very,closely [37] closely,cause [37] cause,open [37] open,borders [37] borders,propaganda [37] propaganda,franztimmermans [37] europarl_nl,funded [37] funded,georgesoros Top Word Pairs in Tweet in G6:
[70] estem,europarl_cat [66] europarl_cat,defensar [66] defensar,l'autodeterminació [66] l'autodeterminació,catalunya [66] catalunya,mateix [66] mateix,temps [66] temps,hem [66] hem,proactius [66] proactius,discussions [66] discussions,resposta Top Word Pairs in Tweet in G7:
[57] adopted,motion [57] authorities,enforce [57] unanimously,adopted [57] motion,resolution [57] resolution,urging [57] urging,japanese [57] japanese,authorities [57] enforce,international [57] international,rules [57] rules,child Top Word Pairs in Tweet in G8:
[17] europarl_fr,renaissance_ue [16] pcanfin,europarl_fr [15] renaissance_ue,thetwinitiative [15] parlement,européen [15] pcanfin,jdecerle [14] jdecerle,asandermep [14] jppb1,pcanfin [14] jdl288,pcanfin [14] mais,viu [14] viu,furo Top Word Pairs in Tweet in G9:
[7] europarl_cs,andrejbabis [6] tomaszdechovsky,europarl_cs [6] víme,že [3] střetu,zájmů [3] kducsl,tomaszdechovsky [3] tomaszdechovsky,forum_24 [3] forum_24,europarl_cs [3] vzkaz,rezoluce [2] rezoluce,jasný [2] jasný,europarl_cs Top Word Pairs in Tweet in G10:
[15] eu_commission,europarl_en [12] europarl_en,groote [11] groote,eu_health [11] eu_health,skyriakideseu [11] ema_news,eu_commission [11] skyriakideseu,eupatientsforum [11] eupatientsforum,epha_eu [10] epha_eu,eupals [10] eupals,encals [10] encals,luchaela 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: