The graph represents a network of 16,999 Twitter users whose recent tweets contained "EU_Commission", 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 Sunday, 24 May 2020 at 18:30 UTC.
The tweets in the network were tweeted over the 3-day, 2-hour, 42-minute period from Thursday, 21 May 2020 at 15:07 UTC to Sunday, 24 May 2020 at 17:50 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 : 16999
Unique Edges : 49641
Edges With Duplicates : 90180
Total Edges : 139821
Number of Edge Types : 5
MentionsInRetweet : 74246
Mentions : 46999
Retweet : 13058
Replies to : 4696
Tweet : 822
Self-Loops : 1045
Reciprocated Vertex Pair Ratio : 0.0138829489752278
Reciprocated Edge Ratio : 0.0273857036243876
Connected Components : 611
Single-Vertex Connected Components : 326
Maximum Vertices in a Connected Component : 15670
Maximum Edges in a Connected Component : 138279
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.571668
Graph Density : 0.000213317919679127
Modularity : 0.339203
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 16,999 Twitter users whose recent tweets contained "EU_Commission", 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 Sunday, 24 May 2020 at 18:30 UTC.
The tweets in the network were tweeted over the 3-day, 2-hour, 42-minute period from Thursday, 21 May 2020 at 15:07 UTC to Sunday, 24 May 2020 at 17:50 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 : EU_Commission
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in G2:
[397] mazinnamdikanu,realdonaldtrump [244] borisjohnson,whitehouse [189] whitehouse,eu_commission [187] eu_commission,europarl_en [184] realdonaldtrump,mike_pence [181] mike_pence,borisjohnson [179] #biafraexit,#biafraexit [179] europarl_en,eu_commission [176] mazinnamdikanu,euinnigeria [176] euinnigeria,ukinnigeria Top Word Pairs in Tweet in G3:
[235] commission,européenne [226] vice,président [218] président,commission [215] entretenir,vice [209] greta,thunberg [209] nom,greta [150] greta,thumberg [139] thumberg,entretenir [128] européenne,quelle [115] quelle,légitimité Top Word Pairs in Tweet in G4:
[1642] virgilerichard3,ladonprumt [1063] rosariop70,harvard2h [1063] cielciel99999,britewerks [746] amygdaloidspew,subsite13 [687] jj2000426,eu_commission [633] eu_commission,realdonaldtrump [633] borisjohnson,justintrudeau [633] justintrudeau,scottmorrisonmp [633] ecohealthnyc,nlpc [633] realdonaldtrump,borisjohnson Top Word Pairs in Tweet in G5:
[346] slap,face [346] face,sturgeon [346] sturgeon,please [346] please,madam [346] madam,president [346] president,surrender [346] surrender,one [346] one,vassal [345] vassal,states [345] states,eu Top Word Pairs in Tweet in G6:
[294] eu,commission [294] alone,seeing [294] seeing,profound [294] profound,irony [294] irony,brexit [294] brexit,justified [294] justified,taking [294] taking,back [294] back,control [294] control,unelected Top Word Pairs in Tweet in G7:
[424] ema_news,eu_commission [417] cylebo,david_setboun [417] david_setboun,ralph_kern [417] ralph_kern,brainstormcell [417] brainstormcell,ema_news [417] eu_health,skyriakideseu [417] eu_commission,europarl_en [417] europarl_en,groote [417] marykayturner1,cylebo [417] groote,eu_health Top Word Pairs in Tweet in G8:
[2813] european,commission [2509] commission,puts [2509] puts,forward [2495] forward,european [2482] european,approach [2301] approach,ai [2232] ai,robotics [2216] robotics,deals [2179] deals,many [2057] many,aspects Top Word Pairs in Tweet in G9:
[87] european,commission [80] eu,commission [80] nicola,sturgeon [80] crushing,verdict [80] eu,entry [80] european,commission's [80] commission's,crushing [80] verdict,scotland's [80] scotland's,eu [80] blow,european Top Word Pairs in Tweet in G10:
[69] eu_commission,eu_eeas [52] osce,oscepa [30] oscepa,europarl_en [30] eu_eeas,osce [30] guamsecretariat,nato [27] europarl_en,azerbaijannam [25] azerbaijannam,guamsecretariat [25] nato,turk_pa [25] turk_pa,oic_oci [20] #respectintlaw,#karabakhisazerbaijan 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: