The graph represents a network of 2,917 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 01:37 UTC.
The tweets in the network were tweeted over the 1510-day, 13-hour, 38-minute period from Wednesday, 21 November 2018 at 11:22 UTC to Tuesday, 10 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 : 2917
Unique Edges : 6547
Edges With Duplicates : 18991
Total Edges : 25538
Number of Edge Types : 9
Retweet : 4298
MentionsInRetweet : 9232
Mentions : 4518
MentionsInQuoteReply : 307
MentionsInQuote : 2563
Quote : 265
MentionsInReplyTo : 3787
Replies to : 474
Tweet : 94
Self-Loops : 618
Reciprocated Vertex Pair Ratio : 0.00499612369713154
Reciprocated Edge Ratio : 0.00994257306934088
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2915
Maximum Edges in a Connected Component : 25536
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.288371
Graph Density : 0.00137162454802344
Modularity : 0.318912
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,917 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 01:37 UTC.
The tweets in the network were tweeted over the 1510-day, 13-hour, 38-minute period from Wednesday, 21 November 2018 at 11:22 UTC to Tuesday, 10 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:
[645] alex,saab [401] amhara,students [391] tortured,amhara [391] patriots,vocal [391] abducted,tortured [391] amharaapp,abducted [391] fano,patriots [391] #amharagenocide,regime [391] vocal,#amharagenocide [391] students,fano Top Word Pairs in Tweet in G1:
[65] euinnigeria,catalonia_us [60] activate,violence [59] independence,#police [59] #breaking,news [59] burnt,people [59] tension,#lagos [59] #police,cars [59] #lagos,#opc [59] news,tension [59] violence,#oduduwa Top Word Pairs in Tweet in G2:
[357] rape,conflict [357] led,charge [357] soldiers,led [342] conflict,tigray [292] tigray,still [288] committing,heinous [288] weaponising,rape [288] charge,weaponising [288] still,committing [279] eritrean,soldiers Top Word Pairs in Tweet in G3:
[622] alex,saab [92] diplomático,alex [91] enviado,especial [82] diplomático,venezolano [74] saab,diplomático [74] statedept,statespeha [69] venezolano,alex [64] días,secuestro [60] statedept,potus [59] potus,statedept Top Word Pairs in Tweet in G4:
[45] iranian,students [43] students,waiting [42] statedept,secblinken [38] statedept,statedeptspox [23] visas,wanna [23] wanna,study [22] fbi,cia [21] f1,visas [20] days,more [20] waiting,330days Top Word Pairs in Tweet in G5:
[401] amhara,students [391] fano,patriots [391] students,fano [391] #amharagenocide,regime [391] patriots,vocal [391] vocal,#amharagenocide [391] abducted,tortured [391] amharaapp,abducted [391] tortured,amhara [278] merihabesha12,amharaapp Top Word Pairs in Tweet in G6:
[17] antonioguterres,mbachelet [14] ifrc,humanrights1st [13] terror,bloodshed [13] hillelneuer,djirsarai [13] world,#irgc [13] statedept,heikomaas [13] mbachelet,heikomaas [13] amnestypress,amnestyeu [13] unwatch,josepborrellf [13] hrf,humanrights1st Top Word Pairs in Tweet in G7:
[56] nig,go [56] battle,survival [56] existence,pillar [56] entity,called [56] holding,evil [56] go,down [56] survival,existence [56] ready,final [56] evil,entity [56] pillar,holding Top Word Pairs in Tweet in G8:
[27] statedept,kjp46 [27] kjp46,nedprice [18] kenklippenstein,statedept [16] haven,florida [16] brazil,january [16] 6th,comment [16] supporters,carry [16] being,given [16] safe,haven [16] carry,brazil Top Word Pairs in Tweet in G10:
[8] junckereu,potus [8] realdonaldtrump,vp [8] potus,realdonaldtrump [8] us_fda,ansm [8] narendramodi,pmoindia [8] ansm,ema_news [8] sgottliebfda,us_fda [8] vp,narendramodi [8] ema_news,junckereu [7] pmoindia,sushmaswaraj 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 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: