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 : 3618
Unique Edges : 9982
Edges With Duplicates : 10018
Total Edges : 20000
Number of Edge Types : 5
MentionsInRetweet : 14205
Replies to : 944
Retweet : 2202
Mentions : 2619
Tweet : 30
Self-Loops : 42
Reciprocated Vertex Pair Ratio : 0.00208170699973979
Reciprocated Edge Ratio : 0.00415476499610491
Connected Components : 76
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 3347
Maximum Edges in a Connected Component : 19720
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.55173
Graph Density : 0.000882831258874735
Modularity : 0.460595
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:
[332] imatge,josepborrellf [324] josepborrellf,amb [323] amb,els [323] els,#gal [323] #gal,vol [323] vol,difongui [323] difongui,tots [323] tots,aquells [323] aquells,socialistes [323] socialistes,pateixen Top Word Pairs in Tweet in G3:
[46] europarl_de,ep_belgium [46] pestrasbourg,epinoesterreich [46] #godblessipob,#godblessipob [46] emmanuelmacron,euinnigeria [46] ep_belgium,epidanmark [46] netanyahu,antonioguterres [46] antonioguterres,borisjohnson [46] borisjohnson,nakufoaddo [46] nakufoaddo,emmanuelmacron [46] epidanmark,europarl_fr Top Word Pairs in Tweet in G4:
[478] ep_president,europarl_de [477] europarl_de,cdu [286] glaube,alle [256] alle,politiker [256] politiker,die [255] die,gegen [255] gegen,transparenz [255] transparenz,wehren [255] wehren,dafür [255] dafür,gründe Top Word Pairs in Tweet in G5:
[50] franztimmermans,europarl_nl [50] watch,very [38] very,closely [38] closely,cause [38] cause,open [38] open,borders [38] borders,propaganda [38] propaganda,franztimmermans [38] europarl_nl,funded [38] funded,georgesoros Top Word Pairs in Tweet in G6:
[107] estem,europarl_cat [100] europarl_cat,defensar [100] defensar,l'autodeterminació [100] l'autodeterminació,catalunya [100] catalunya,mateix [100] mateix,temps [100] temps,hem [100] hem,proactius [100] proactius,discussions [100] discussions,resposta Top Word Pairs in Tweet in G7:
[59] lévriers,abandonnés [59] abandonnés,maltraités [59] maltraités,suppliciés [59] suppliciés,notre [59] notre,devoir [59] devoir,d'agir [59] d'agir,leur [59] leur,protection [59] protection,#protectionanimale [59] #protectionanimale,europarl_fr Top Word Pairs in Tweet in G8:
[8] adopted,motion [8] unanimously,adopted [8] motion,resolution [8] resolution,urging [8] authorities,enforce [8] urging,japanese [8] japanese,authorities [8] enforce,international [8] international,rules [8] rules,child Top Word Pairs in Tweet in G9:
[20] eu_commission,europarl_en [18] europarl_en,groote [18] groote,eu_health [18] eu_health,skyriakideseu [18] skyriakideseu,eupatientsforum [16] ema_news,eu_commission [16] eupatientsforum,epha_eu [16] epha_eu,eupals [16] #nurowneurope,marykayturner1 [16] eupals,encals Top Word Pairs in Tweet in G10:
[83] europarl_cs,andrejbabis [80] tomaszdechovsky,europarl_cs [80] tomaszdechovsky,forum_24 [80] forum_24,europarl_cs [79] víme,že [78] střetu,zájmů [78] vzkaz,rezoluce [78] rezoluce,jasný [64] jasný,europarl_cs [64] europarl_cs,má Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: