The graph represents a network of 3,436 Twitter users whose recent tweets contained "#redessociales", 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 06:09 UTC.
The tweets in the network were tweeted over the 1407-day, 19-hour, 44-minute period from Monday, 11 March 2019 at 05:15 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 : 3436
Unique Edges : 2096
Edges With Duplicates : 6626
Total Edges : 8722
Number of Edge Types : 9
Tweet : 2394
Retweet : 1943
MentionsInRetweet : 2573
Mentions : 1342
Replies to : 161
MentionsInReplyTo : 178
Quote : 65
MentionsInQuote : 51
MentionsInQuoteReply : 15
Self-Loops : 2799
Reciprocated Vertex Pair Ratio : 0.0292604501607717
Reciprocated Edge Ratio : 0.0568572321149641
Connected Components : 938
Single-Vertex Connected Components : 590
Maximum Vertices in a Connected Component : 1160
Maximum Edges in a Connected Component : 4091
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 7.645743
Graph Density : 0.000271210049260082
Modularity : 0.404151
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,436 Twitter users whose recent tweets contained "#redessociales", 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 06:09 UTC.
The tweets in the network were tweeted over the 1407-day, 19-hour, 44-minute period from Monday, 11 March 2019 at 05:15 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 : #redessociales
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:
[530] #expresionsonoranoticias,#sonora [527] #hermosillo,#esn [527] #sonora,#hermosillo [527] #esn,#redessociales [464] redes,sociales [168] #socialmedia,#redessociales [149] nuestras,#redessociales [116] síguenos,nuestras [107] #redessociales,#socialmedia [105] twitter,puedes Top Word Pairs in Tweet in G1:
[154] redes,sociales [51] #marketingdigital,#redessociales [45] #marketing,#redessociales [33] cuautitlán,izcalli [33] izcalli,#revistadigital [27] #redessociales,#twitter [26] mujeres,facturan [25] facturan,#yoteayudo [25] #eliannyanez,#shakirateamo [25] #shakirateamo,#negociosdigitales Top Word Pairs in Tweet in G2:
[109] redes,sociales [62] #socialmedia,#redessociales [50] curso,redes [36] #twitch,creador [36] espectador,#socialmedia [36] aprende,usar [36] usar,#twitch [36] contenido,espectador [36] creador,contenido [35] cinacio06,aprende Top Word Pairs in Tweet in G3:
[76] canaloncetv,#redessociales [64] conéctate,#envivo [53] #envivo,canaloncetv [50] #oncenoticias,meridiano [49] #envivo,#oncenoticias [45] #oncenoticias,nocturno [38] meridiano,#envivo [38] nocturno,canaloncetv [32] líderes,américa [32] cumbre,líderes Top Word Pairs in Tweet in G4:
[21] enero,2023 [15] compartido,#redessociales [15] activos,compartido [15] autores,activos [11] #redessociales,información [11] diciembre,2022 [10] #ela,#canarias [10] 11,enero [10] #esclerosismúltiple,#ela [8] #canarias,#jmbag Top Word Pairs in Tweet in G5:
[44] rosas,cauca [42] cauca,teme [42] #redessociales,estado [42] estado,alterna [42] teme,sector [42] alterna,emergencia [42] emergencia,rosas [39] caracol_cali,#redessociales [36] lavozdepueblo1,#redessociales [36] sector,sufr Top Word Pairs in Tweet in G6:
[39] aprende,identificar [33] reconoce,aprende [33] instantánea,osiseguridad [33] incibe,#rrss [33] #redessociales,apps [33] #fraudes,#redessociales [33] osiseguridad,incibe [33] apps,mensajería [33] mensajería,instantánea [33] identificar,#fraudes Top Word Pairs in Tweet in G7:
[65] grupo,criminal [65] mujeres,#catar [65] desarticula,grupo [65] criminal,explotaba [65] #catar,#paísesbajos [65] explotaba,sexualmente [65] #paísesbajos,#australia [65] policia,desarticula [65] sexualmente,mujeres [62] #australia,deten Top Word Pairs in Tweet in G8:
[69] puedes,encontrarnos [69] #redessociales,puedes [69] juntos,juntas [69] #instagram,#twitter [69] sigamos,juntos [69] encontrarnos,#facebook [69] síguenos,nuestras [69] #twitter,sigamos [69] nuestras,#redessociales [69] #facebook,#instagram Top Word Pairs in Tweet in G9:
[8] redes,sociales [6] sabido,aprovechar [6] #jessemireles,joven [6] #fotógrafa,sabido [6] pues,través [6] impacto,brindan [6] brindan,#redessociales [6] aprovechar,impacto [6] joven,#fotógrafa [6] #redessociales,pues Top Word Pairs in Tweet in G10:
[12] #mexico,#espana [10] #sociedad,#mundo [8] #noticias,#sociedad [8] #mundo,#redessociales [7] #tech,#mexico [7] #peru,#usa [7] #espana,#peru [7] #usa,#colombia [6] #redessociales,#smartphone [5] #colombia,#tecnología 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 G6:
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: