The graph represents a network of 2,834 Twitter users whose recent tweets contained "eu_eeas", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 2/10/2023 1:10:08 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 21:31 UTC.
The tweets in the network were tweeted over the 1284-day, 10-hour, 57-minute period from Tuesday, 06 August 2019 at 10:12 UTC to Friday, 10 February 2023 at 21:10 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2834
Unique Edges : 8116
Edges With Duplicates : 104871
Total Edges : 112987
Number of Edge Types : 9
Retweet : 38324
MentionsInRetweet : 57718
Quote : 280
MentionsInQuote : 2546
Mentions : 9191
Tweet : 131
MentionsInReplyTo : 4078
Replies to : 544
MentionsInQuoteReply : 175
Self-Loops : 1679
Reciprocated Vertex Pair Ratio : 0.0571792892855944
Reciprocated Edge Ratio : 0.108173305824472
Connected Components : 29
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 2782
Maximum Edges in a Connected Component : 112901
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.218291
Graph Density : 0.00392403672714038
Modularity : 0.189158
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,834 Twitter users whose recent tweets contained "eu_eeas", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 2/10/2023 1:10:08 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 21:31 UTC.
The tweets in the network were tweeted over the 1284-day, 10-hour, 57-minute period from Tuesday, 06 August 2019 at 10:12 UTC to Friday, 10 February 2023 at 21:10 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : eu_eeas
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 Entire Graph:
[3468] tatters,deal [3468] people's,lives [3452] rocky,mountainous [3452] mountainous,region [3419] deal,famine [3405] tigray,tatters [3400] lives,ethiopia's [3400] ethiopia's,rocky [3390] region,tigray [3324] difficult,tigray's Top Word Pairs in Tweet in G1:
[123] eu_eeas,josepborrellf [95] janezlenarcic,eu_echo [86] eu_echo,eu_commission [72] eu_near,eu_eeas [64] eu_commission,eudelegationtur [51] eudelegationtur,afadbaskanlik [51] afadbaskanlik,eu_near [51] josepborrellf,vonderleyen [50] eu_eeas,eucouncil [43] eu_eeas,zelenskyyua Top Word Pairs in Tweet in G2:
[3403] tatters,deal [3403] people's,lives [3391] mountainous,region [3391] rocky,mountainous [3354] deal,famine [3341] tigray,tatters [3335] ethiopia's,rocky [3335] lives,ethiopia's [3330] region,tigray [3275] tigray's,capital Top Word Pairs in Tweet in G3:
[159] large,scale [128] killing,campaigns [128] campaigns,ola [128] 2022,large [128] between,june [128] scale,killing [128] oromia,kelem [128] occurred,region [128] august,2022 [128] ola,occurred Top Word Pairs in Tweet in G4:
[12] eu_commission,eu_eeas [12] eu_eeas,ausgov [12] ifc_org,bbcworld [12] ausgov,newzealandgov [12] imfnews,ifc_org [12] bbcworld,eu_commission [11] questcnn,minpres [11] moodysinvsvc,stat_world [11] swedenun,swiss_un [11] en_germany,ukparliament Top Word Pairs in Tweet in G5:
[88] mbuhari,aishayesufu [88] cnnafrica,eu_eeas [88] aishayesufu,cnnafrica [82] abubakarmalami,mbuhari [68] amnestyusa,arisetv [68] eu_eeas,amnestyusa [68] arisetv,bbcbreaking [68] harmonyforhuma1,abubakarmalami [68] bbcbreaking,cenbank [52] massive,protest Top Word Pairs in Tweet in G7:
[37] turning,dictatorship [36] assembly,denied [36] maldives,fully [36] fully,turning [36] dictatorship,freedom [36] freedom,speech [36] speech,freedom [36] freedom,assembly [36] denied,usambsl [35] visnaameehaa,maldives Top Word Pairs in Tweet in G8:
[9] ataques,destructivos [9] noruego,quienes [9] unidos,noruego [9] planificaron,ejecutaron [9] ejecutaron,ataques [9] quienes,planificaron [9] gobiernos,estados [9] estados,unidos [8] destructivos,gasodu [8] tomkucharz,gobiernos Top Word Pairs in Tweet in G9:
[2] fykstare,alleycat579 [2] edificiosincr69,susyq918 [2] amberlanewrites,booksofgeronimo [2] susyq918,panda_editing [2] alleycat579,amberlanewrites [2] edgeoerin1,edificiosincr69 [2] borbalabranch,edgeoerin1 [2] booksofgeronimo,borbalabranch Top Word Pairs in Tweet in G10:
[22] 甚大な,#震災 [22] と#eu,理事会議長国 [22] および,#シリア [22] #欧州委員会,と#eu [22] #シリア,の人々を支援するため [22] の人々を支援するため,ドナー会議を来月開催すると発表した [22] #スウェーデン,は8日 [22] #トルコ,および [22] #震災,被害を受けた [22] 理事会議長国,#スウェーデン 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 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: