The graph represents a network of 3,147 Twitter users whose recent tweets contained "statedept", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 01:38 UTC.
The tweets in the network were tweeted over the 2218-day, 4-hour, 58-minute period from Tuesday, 20 December 2016 at 20:02 UTC to Tuesday, 17 January 2023 at 01:00 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 : 3147
Unique Edges : 6277
Edges With Duplicates : 19733
Total Edges : 26010
Number of Edge Types : 9
Retweet : 4389
MentionsInRetweet : 8290
Replies to : 479
MentionsInReplyTo : 4246
Mentions : 3986
MentionsInQuote : 3834
Quote : 261
MentionsInQuoteReply : 391
Tweet : 134
Self-Loops : 749
Reciprocated Vertex Pair Ratio : 0.00478919011374327
Reciprocated Edge Ratio : 0.00953272618946293
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 3142
Maximum Edges in a Connected Component : 26003
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.328851
Graph Density : 0.00118671229686049
Modularity : 0.334013
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,147 Twitter users whose recent tweets contained "statedept", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 01:38 UTC.
The tweets in the network were tweeted over the 2218-day, 4-hour, 58-minute period from Tuesday, 20 December 2016 at 20:02 UTC to Tuesday, 17 January 2023 at 01:00 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 : statedept
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:
[585] alex,saab [540] mig,23bn [538] 23bn,etc [538] model,mig [538] etc,su27 [538] description,jet [538] fits,type [538] mig,mig [538] jet,model [538] #neveforget,description Top Word Pairs in Tweet in G1:
[128] ee,uu [123] funcionario,statedept [123] detenidos,realizó [123] realizó,viaje [123] statedept,ee [123] viaje,discreto [123] alto,funcionario [123] asuntos,rehenes [123] uu,asuntos [123] rehenes,detenidos Top Word Pairs in Tweet in G2:
[540] mig,23bn [538] #neveforget,description [538] mig,mig [538] 23bn,etc [538] su27,fits [538] model,mig [538] etc,su27 [538] fits,type [538] jet,model [538] description,jet Top Word Pairs in Tweet in G3:
[554] alex,saab [154] movimiento,#freealexsaab [111] diplomático,venezolano [104] statedept,statespeha [103] venezolano,alex [95] foro,antibloqueo [94] diplomático,alex [91] flor,venezuela [90] días,secuestro [87] potus,statedept Top Word Pairs in Tweet in G4:
[179] interfered,nigerian [179] former,president [179] jonathan,#us [179] nigeria,former [179] goodluck,jonathan [179] president,goodluck [179] euinnigeria,europarl_en [179] hear,nigeria [179] #us,interfered [179] nigerian,election Top Word Pairs in Tweet in G5:
[119] #arashsadeghi,#toomajsalehi [107] antonioguterres,mbachelet [105] amnestyeu,hrw [105] hillelneuer,djirsarai [105] statedept,heikomaas [105] mbachelet,heikomaas [105] amnestypress,amnestyeu [105] unwatch,josepborrellf [105] hrf,humanrights1st [105] eucouncilpress,europarl_en Top Word Pairs in Tweet in G6:
[3] visit,kurdistan [3] level,delegation [3] visits,2023 [3] more,exchanges [3] exchanges,visits [3] high,level [3] hope,many [3] 2023,today [3] rusembusa,statedept [3] delegation,visit Top Word Pairs in Tweet in G7:
[6] alejandrochar,lopezobrador [6] davidbarguil,juandiegogj [6] mluciaramirez,davidbarguil [6] lopezobrador,mluciaramirez [6] juandiegogj,paolaholguin [6] palomavalencial,cathe_ch [6] paolaholguin,palomavalencial [3] fernandochano1,hernancadavidma [3] luisalfreramos,danielsampero [3] jaliriobarrerar,rafanietoloaiza Top Word Pairs in Tweet in G8:
[3] ethiopia,break [3] gov,coddling [3] dictator,abiyahmedali [3] #amharagenocide,ethiopia [3] committing,#amharagenocide [3] coddling,dictator [3] break,silence [3] abiyahmedali,committing [2] secdef,statedept [2] yegg,globalprivctrl Top Word Pairs in Tweet in G9:
[11] organization,according [11] yes,course [11] terrorist,organization [11] irgc,terrorist [11] terrorism,yes [11] definitions,terrorism [11] according,definitions [10] farhadrezaeii,irgc [10] course,agreeme [2] statedept,eucouncil Top Word Pairs in Tweet in G10:
[26] uscis,uscisdirector [21] miserable,one [21] friend,greencard [21] path,miserable [21] journey,uscis [21] painful,journey [21] uscisdirector,path [21] greencard,week [21] week,see [21] see,painful Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: