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 : 1875
Unique Edges : 4353
Edges With Duplicates : 646
Total Edges : 4999
Number of Edge Types : 5
MentionsInRetweet : 2881
Replies to : 232
Mentions : 1173
Retweet : 691
Tweet : 22
Self-Loops : 27
Reciprocated Vertex Pair Ratio : 0.00347826086956522
Reciprocated Edge Ratio : 0.00693240901213172
Connected Components : 60
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 1649
Maximum Edges in a Connected Component : 4757
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.710591
Graph Density : 0.00131369619352544
Modularity : 0.719325
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:
[33] #ddhhnosevenden,#hhrrarenotforsale [33] tibisay,lucena [33] explotación,reproductiva [33] reneweurope,greensefa [33] eppgroup,reneweurope [33] parlamentoue,europarl_es [33] greensefa,ecrgroup [33] almagro_oea2015,europarl_es [33] onu_es,europarl_es [33] sergionovelli,usaenespanol Top Word Pairs in Tweet in G3:
[23] #godblessipob,#godblessipob [16] realdonaldtrump,borisjohnson [14] borisjohnson,netanyahu [14] netanyahu,statedept [13] statedept,ngrsenate [12] ngrsenate,europarl_en [12] world,leaders [11] leaders,muhammad [11] muhammad,buhari [10] buhari,used Top Word Pairs in Tweet in G4:
[176] eu_commission,europarl_en [41] jordialapreso,eu_commission [36] europarl_en,coe [36] coe,eurightsagency [36] eurightsagency,humanrightsdtr [36] humanrightsdtr,humanrightsctte [35] humanrightsctte,amnestyusa [35] amnestyusa,cnndusa [35] cnndusa,cnn [35] cnn,bbcworld Top Word Pairs in Tweet in G5:
[11] estem,europarl_cat [6] europarl_cat,defensar [6] defensar,l'autodeterminació [6] l'autodeterminació,catalunya [6] catalunya,mateix [6] mateix,temps [6] temps,hem [6] hem,proactius [6] proactius,discussions [6] discussions,resposta Top Word Pairs in Tweet in G6:
[52] ep_president,europarl_de [52] europarl_de,cdu [52] glaube,alle [52] alle,politiker [52] politiker,die [52] die,gegen [52] gegen,transparenz [52] transparenz,wehren [52] wehren,dafür [52] dafür,gründe Top Word Pairs in Tweet in G7:
[38] parlamento,europeo [38] bilancio,ue [29] accesso,credito [29] credito,strumenti [29] strumenti,finanziari [29] finanziari,nel [29] nel,bilancio [29] ue,2021 [29] 2021,2027 [29] anni,fa Top Word Pairs in Tweet in G8:
[10] europarl_cs,andrejbabis [9] tomaszdechovsky,europarl_cs [9] kducsl,tomaszdechovsky [7] tomaszdechovsky,forum_24 [7] forum_24,europarl_cs [7] střetu,zájmů [7] víme,že [6] vzkaz,rezoluce [6] rezoluce,jasný [5] jasný,europarl_cs Top Word Pairs in Tweet in G9:
[14] europarl_fr,renaissance_ue [11] pcanfin,europarl_fr [9] renaissance_ue,thetwinitiative [9] parlement,européen [9] uefrance,europarl_fr [9] paulmagnette,conner_rousseau [9] pcanfin,jdecerle [8] jdecerle,asandermep [8] jppb1,pcanfin [8] jdl288,pcanfin Top Word Pairs in Tweet in G10:
[7] europarl_pl,usambpoland [6] usambpoland,eu_commission [6] eu_commission,unhumanrights [5] trzeba,natychmiast [3] natychmiast,zrobić [3] zrobić,wszystko [3] wszystko,co [3] co,możliwe [3] możliwe,aby [3] aby,tvp_info 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: