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 : 5283
Unique Edges : 15661
Edges With Duplicates : 24438
Total Edges : 40099
Number of Edge Types : 5
MentionsInRetweet : 29075
Replies to : 2104
Retweet : 4062
Mentions : 4809
Tweet : 49
Self-Loops : 69
Reciprocated Vertex Pair Ratio : 0.00240950953094881
Reciprocated Edge Ratio : 0.00480743550024037
Connected Components : 95
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 4966
Maximum Edges in a Connected Component : 39778
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.496475
Graph Density : 0.000670888018357841
Modularity : 0.366703
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:
[599] europarl_de,ep_belgium [574] pestrasbourg,epinoesterreich [573] realdonaldtrump,netanyahu [573] emmanuelmacron,euinnigeria [573] ep_belgium,epidanmark [573] netanyahu,antonioguterres [573] antonioguterres,borisjohnson [573] borisjohnson,nakufoaddo [573] nakufoaddo,emmanuelmacron [573] epidanmark,europarl_fr Top Word Pairs in Tweet in G3:
[1264] ep_president,europarl_de [1262] europarl_de,cdu [669] glaube,alle [638] alle,politiker [638] politiker,die [636] die,gegen [636] gegen,transparenz [636] transparenz,wehren [636] wehren,dafür [636] dafür,gründe Top Word Pairs in Tweet in G4:
[54] adopted,motion [54] authorities,enforce [42] child,abduction [42] parental,child [42] unanimously,adopted [42] motion,resolution [42] resolution,urging [42] urging,japanese [42] japanese,authorities [42] enforce,international Top Word Pairs in Tweet in G5:
[57] franztimmermans,europarl_nl [55] watch,very [54] very,closely [53] closely,cause [52] cause,open [50] open,borders [50] borders,propaganda [48] propaganda,franztimmermans [48] europarl_nl,funded [48] funded,georgesoros Top Word Pairs in Tweet in G6:
[128] anni,fa [119] fa,signori [119] signori,regeni [119] regeni,europarl_it [119] europarl_it,italia [119] italia,europa [119] europa,aumentino [119] aumentino,pressione [119] pressione,sull'egitto [119] sull'egitto,avere Top Word Pairs in Tweet in G7:
[19] eu_commission,europarl_en [19] europarl_en,groote [19] groote,eu_health [19] eu_health,skyriakideseu [19] skyriakideseu,eupatientsforum [19] ema_news,eu_commission [19] eupatientsforum,epha_eu [19] epha_eu,eupals [19] eupals,encals [19] #nurowneurope,marykayturner1 Top Word Pairs in Tweet in G8:
[112] europarl_cs,andrejbabis [106] tomaszdechovsky,europarl_cs [106] medvjed,tomaszdechovsky [106] berman_pavel,medvjed [105] tomaszdechovsky,forum_24 [104] forum_24,europarl_cs [104] kducsl,tomaszdechovsky [104] berman_pavel,tomaszdechovsky [88] antoninnyton,berman_pavel [86] antoninnyton,tomaszdechovsky Top Word Pairs in Tweet in G9:
[87] europarl_fr,renaissance_ue [84] pcanfin,europarl_fr [30] renaissance_ue,thetwinitiative [16] renaissance_ue,reneweurope [15] parlement,réunit [15] réunit,dès [14] dès,aujourd [14] aujourd,hui [13] hui,plénière [12] plénière,jours Top Word Pairs in Tweet in G10:
[7] covid,19 [6] possible,policy [6] policy,responses [5] european,parliament [4] 19,lessons [4] lessons,learnt [4] learnt,previous [4] previous,crises [4] crises,interview [4] interview,state Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: