The graph represents a network of 44 Twitter users whose recent tweets contained "#ahoracruzroja", 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 Wednesday, 29 March 2023 at 06:08 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 40-minute period from Monday, 20 March 2023 at 10:14 UTC to Wednesday, 29 March 2023 at 05:55 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 : 44
Unique Edges : 60
Edges With Duplicates : 48
Total Edges : 108
Number of Edge Types : 4
Retweet : 61
MentionsInRetweet : 20
Mentions : 8
Tweet : 19
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0.0476190476190476
Reciprocated Edge Ratio : 0.0909090909090909
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 40
Maximum Edges in a Connected Component : 104
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.985056
Graph Density : 0.0348837209302326
Modularity : 0.310314
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 44 Twitter users whose recent tweets contained "#ahoracruzroja", 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 Wednesday, 29 March 2023 at 06:08 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 40-minute period from Monday, 20 March 2023 at 10:14 UTC to Wednesday, 29 March 2023 at 05:55 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 : #ahoracruzroja
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:
[16] ayuda,inmediata [16] atendimos,12 [16] 12,millones [16] 50,000 [16] población,vulnerable [16] inmediata,población [16] pasado,atendimos [16] posiciona,ayuda [16] #ahoracruzroja,gracias [16] vulnerable,50 Top Word Pairs in Tweet in G1:
[11] ayuda,inmediata [11] atendimos,12 [11] 12,millones [11] 50,000 [11] población,vulnerable [11] inmediata,población [11] pasado,atendimos [11] posiciona,ayuda [11] #ahoracruzroja,gracias [11] vulnerable,50 Top Word Pairs in Tweet in G2:
[6] llevados,cabo [6] docentes,centros [6] cole,existen [6] yendo,cole [6] ambos,llevados [6] proyectos,éxito [6] través,nuestros [6] nuestros,proyectos [6] éxito,saeih [6] posible,través Top Word Pairs in Tweet in G3:
[5] sociales,fundamental [5] causas,sociales [5] vivencias,íntimas [5] episodios,personales [5] fundamental,vida [5] generación,jóvenes [5] rimar,vivencias [5] freestyle,referente [5] smootharkano,vinculación [5] vinculación,causas Top Word Pairs in Tweet in G4:
[3] querer,aprende [3] plasma,paso [3] colaborar,niños [3] positiva,enseña [3] cómo,toda [3] vincula,mundo [3] querer,querer [3] niños,niñas [3] mundo,forma [3] mayores,caigan Top Word Pairs in Tweet in G5:
[2] especialmente,zonas [2] #ahoracruzroja,2016 [2] reducir,altas [2] maternity,foundation [2] altas,tasas [2] safe,delivery [2] guinea,contribuir [2] app,guinea [2] tasas,mortalidad [2] introdujeron,safe Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: