The graph represents a network of 19,341 Twitter users whose recent tweets contained "Kabul", 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 Monday, 16 August 2021 at 22:47 UTC.
The tweets in the network were tweeted over the 12-minute period from Monday, 16 August 2021 at 21:52 UTC to Monday, 16 August 2021 at 22:04 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 : 19341
Unique Edges : 22538
Edges With Duplicates : 2940
Total Edges : 25478
Number of Edge Types : 5
Tweet : 4335
Retweet : 15908
Replies to : 1257
Mentions : 1687
MentionsInRetweet : 2291
Self-Loops : 4400
Reciprocated Vertex Pair Ratio : 0.0024791749305831
Reciprocated Edge Ratio : 0.00494608764467306
Connected Components : 2866
Single-Vertex Connected Components : 855
Maximum Vertices in a Connected Component : 12142
Maximum Edges in a Connected Component : 17807
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.125612
Graph Density : 5.40508835413322E-05
Modularity : 0.811066
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 19,341 Twitter users whose recent tweets contained "Kabul", 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 Monday, 16 August 2021 at 22:47 UTC.
The tweets in the network were tweeted over the 12-minute period from Monday, 16 August 2021 at 21:52 UTC to Monday, 16 August 2021 at 22:04 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 : Kabul
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:
[2097] kabul,airport [1102] afghan,civilians [1021] men,women [1017] aircraft,kabul [1013] kabul,evacuate [1012] biden,regime [1011] next,month [1010] think,fact [1010] fact,americans [1010] americans,risking Top Word Pairs in Tweet in G1:
[943] think,fact [943] fact,americans [943] americans,risking [943] risking,lives [943] lives,landing [943] landing,aircraft [943] aircraft,kabul [943] kabul,evacuate [943] evacuate,american [943] american,afghan Top Word Pairs in Tweet in G2:
[329] kabul,airport [128] air,force [115] taliban,fighters [111] under,taliban [99] hundreds,people [96] force,17 [92] video,shows [89] aeropuerto,kabul [89] transport,plane [88] shows,hundreds Top Word Pairs in Tweet in G3:
[560] caída,kabul [404] rch,871 [404] 871,640 [404] 640,personas [404] personas,bordo [402] kabul,rch [141] aeropuerto,kabul [96] régimen,talibán [66] ir,escuela [57] kabul,afganistán Top Word Pairs in Tweet in G4:
[62] kabul,airport [26] aeropuerto,kabul [20] #kabul,#afghanistan [19] joe,biden [19] state,department [19] department,calls [19] include,women [19] women,government [18] calls,taliban [18] taliban,include Top Word Pairs in Tweet in G5:
[536] kabul,airport [359] outside,kabul [358] human,rights [357] biden,human [357] rights,center [357] center,policy [357] policy,hard [357] hard,sell [357] sell,tonight [357] tonight,sitting Top Word Pairs in Tweet in G6:
[252] aeropuerto,kabul [122] kabul,seguro [111] plus,ultra [67] militar,kabul [59] nueva,delhi [57] vuelos,civiles [55] perdieron,48 [55] 48,horas [55] horas,cagada [55] cagada,enviar Top Word Pairs in Tweet in G7:
[531] inside,transport [531] transport,taking [531] taking,kabul [531] kabul,extraordinary [13] kabul,airport [13] #afghanistan,debacle [13] debacle,isn [13] isn,result [13] result,intel [13] intel,failures Top Word Pairs in Tweet in G8:
[42] penfarthing,nowzad [36] staff,rescue [36] rescue,animals [35] kabul,airport [34] evacuation,kabul [32] kabul,potus [32] please,donate [32] evacuate,staff [32] animals,desperate [32] desperate,situation Top Word Pairs in Tweet in G9:
[130] acting,ambassador [130] ambassador,afghanistan [130] afghanistan,fled [130] fled,country [130] country,last [130] last,weekend [130] weekend,britain's [130] britain's,ambassador [130] ambassador,still [130] still,kabul Top Word Pairs in Tweet in G10:
[309] momento,haya [309] haya,niñas [309] niñas,mujeres [309] mujeres,kabul [309] kabul,buscando [309] buscando,veneno [309] veneno,tener [309] tener,caso [309] caso,capturadas [309] capturadas,talibanes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: