The graph represents a network of 11,921 Twitter users whose recent tweets contained "Guacamaya Leaks", 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, 09 October 2022 at 06:13 UTC.
The tweets in the network were tweeted over the 2-day, 22-hour, 14-minute period from Thursday, 06 October 2022 at 06:49 UTC to Sunday, 09 October 2022 at 05:04 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 : 11922
Unique Edges : 21564
Edges With Duplicates : 2779
Total Edges : 24343
Number of Edge Types : 5
Retweet : 16258
MentionsInRetweet : 5642
Tweet : 1175
Mentions : 777
Replies to : 491
Self-Loops : 1214
Reciprocated Vertex Pair Ratio : 0.0014645979221017
Reciprocated Edge Ratio : 0.00292491202413052
Connected Components : 586
Single-Vertex Connected Components : 425
Maximum Vertices in a Connected Component : 11038
Maximum Edges in a Connected Component : 23341
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.15858
Graph Density : 0.000153959098933494
Modularity : 0.608613
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,921 Twitter users whose recent tweets contained "Guacamaya Leaks", 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, 09 October 2022 at 06:13 UTC.
The tweets in the network were tweeted over the 2-day, 22-hour, 14-minute period from Thursday, 06 October 2022 at 06:49 UTC to Sunday, 09 October 2022 at 05:04 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 : Guacamaya Leaks
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10369] guacamaya,leaks [1995] viajes,familia [1993] familia,presidencial [1922] tras,hackeo [1901] reino,unido [1901] unido,francia [1901] francia,italia [1896] houston,reino [1896] italia,alemania [1896] alemania,polonia Top Word Pairs in Tweet in G1:
[1158] guacamaya,leaks [855] mil,pesos [844] campo,militar [843] militar,cdmx [840] venta,armas [840] armas,criminales [761] guacamaya,sedena [757] hackeo,documentos [757] documentos,guacamaya [757] sedena,señala Top Word Pairs in Tweet in G2:
[1811] guacamaya,leaks [1073] decían,guacamaya [612] oigan,acuerdan [612] acuerdan,cuan [612] cuan,decían [612] leaks,serían [612] serían,fin [612] fin,amlo [612] amlo,risa [463] leaks,eran Top Word Pairs in Tweet in G3:
[1111] viajes,familia [1111] familia,presidencial [1092] houston,reino [1092] reino,unido [1092] unido,francia [1092] francia,italia [1092] italia,alemania [1092] alemania,polonia [1092] polonia,japón [1089] tras,hackeo Top Word Pairs in Tweet in G4:
[1035] guacamaya,leaks [201] mil,pesos [200] cuauhtémoc,blanco [196] crimen,organizado [194] sedenamx,semar_mx [177] grupo,guacamaya [172] tras,hackeo [170] hacktivistas,guacamaya [168] grupo,hacktivistas [167] viajes,familia Top Word Pairs in Tweet in G5:
[1205] guacamaya,leaks [995] informes,sedena [989] cartel,jalisco [987] leaks,revela [987] revela,adan_augusto [987] adan_augusto,piquis [987] piquis,colis [987] colis,lopitos [987] lopitos,huachicolero [987] huachicolero,mayor Top Word Pairs in Tweet in G6:
[1409] guacamaya,leaks [319] militar,ruso [319] ruso,bogdanov [319] bogdanov,rustam [319] rustam,adiestra [319] adiestra,policías [319] policías,comunitarias [319] comunitarias,guerrero [306] documentos,ejército [306] ejército,expuestos Top Word Pairs in Tweet in G7:
[809] guacamaya,leaks [547] revelaciones,guacamaya [544] leaks,conocen [544] conocen,obligan [544] obligan,preguntarnos [544] preguntarnos,quién [544] quién,proteja [544] proteja,ejército [544] ejército,criminaliza [544] criminaliza,colectivos Top Word Pairs in Tweet in G8:
[633] guacamaya,leaks [336] ejército,sabe [169] leaks,ejército [168] grave,ventila [168] ventila,guacamaya [168] sabe,matar [168] matar,alguien [168] alguien,elementos [168] elementos,poder [168] poder,evitarlo Top Word Pairs in Tweet in G9:
[344] guacamaya,leaks [43] mil,pesos [40] revela,guacamaya [40] ejército,méxico [34] familia,amlo [34] amlo,viajó [34] personal,militar [33] hackeo,masivo [33] masivo,sufrió [33] sufrió,ejército Top Word Pairs in Tweet in G10:
[192] informes,sedena [183] #sedenaleaks,informes [183] sedena,marina [183] marina,filtrados [183] filtrados,colectivo [183] colectivo,guacamaya [183] guacamaya,vinculan [183] blanco,autoridades [183] ramírez,senadores [183] senadores,diputados 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 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: