The graph represents a network of 573 Twitter users whose recent tweets contained "#VacunasCOVID19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500 tweets. The network was obtained from Twitter on Friday, 02 July 2021 at 02:59 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 46-minute period from Thursday, 01 July 2021 at 00:06 UTC to Friday, 02 July 2021 at 02:53 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 : 573
Unique Edges : 688
Edges With Duplicates : 60
Total Edges : 748
Number of Edge Types : 5
Retweet : 383
MentionsInRetweet : 154
Replies to : 20
Tweet : 100
Mentions : 91
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0.00158982511923688
Reciprocated Edge Ratio : 0.00317460317460317
Connected Components : 103
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 99
Maximum Edges in a Connected Component : 103
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.904681
Graph Density : 0.00192216160802548
Modularity : 0.844577
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 573 Twitter users whose recent tweets contained "#VacunasCOVID19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500 tweets. The network was obtained from Twitter on Friday, 02 July 2021 at 02:59 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 46-minute period from Thursday, 01 July 2021 at 00:06 UTC to Friday, 02 July 2021 at 02:53 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 : #VacunasCOVID19
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:
[100] de,#vacunascovid19 [99] el,miedo [99] miedo,perder [99] perder,lad [99] lad,elecciones [99] elecciones,pudo [99] pudo,más [99] más,el [99] el,capricho [99] capricho,la Top Word Pairs in Tweet in G1:
[99] el,miedo [99] miedo,perder [99] perder,lad [99] lad,elecciones [99] elecciones,pudo [99] pudo,más [99] más,el [99] el,capricho [99] capricho,la [99] la,ideología Top Word Pairs in Tweet in G2:
[55] #quiénesquiénenlasmentiras,es [55] es,falso [55] falso,exista [55] exista,espionaje [55] espionaje,periodista [55] periodista,como [55] como,lo [55] lo,afirmaron [55] afirmaron,diversos [55] diversos,medios Top Word Pairs in Tweet in G3:
[48] las,vacunas [48] vacunas,reconocidas [45] #vacunascovid19,cuando [45] cuando,un [45] un,niñ [45] niñ,ve [45] ve,algo [45] algo,cree [45] cree,existe [45] existe,es Top Word Pairs in Tweet in G4:
[8] las,vacunas [5] de,la [5] de,vacunas [4] de,las [4] de,julio [4] #covid19,#vacunascovid19 [4] argentina,se [4] se,acerca [4] acerca,los [4] los,27 Top Word Pairs in Tweet in G5:
[17] #covid19,#vacunascovid19 [17] #vacunascovid19,#uruguay [17] #uruguay,la [17] la,comisión [17] comisión,nacional [17] nacional,asesora [17] asesora,de [17] de,vacunaciones [17] vacunaciones,su [17] su,grupo Top Word Pairs in Tweet in G6:
[10] asimismo,con [10] con,mayor [10] mayor,número [10] número,de [10] de,#vacunascovid19 [10] #vacunascovid19,minsa_peru [10] minsa_peru,debe [10] debe,evaluar [10] evaluar,incorporación [10] incorporación,de Top Word Pairs in Tweet in G7:
[8] ni,oración [8] oración,ni [8] ni,ayuno [8] ayuno,ni [8] ni,santos [8] santos,por [8] por,los [8] los,aires [8] aires,#vacunascovid19 [8] #vacunascovid19,para Top Word Pairs in Tweet in G8:
[16] parece,las [16] las,#vacunascovid19 [16] #vacunascovid19,autorizadas [16] autorizadas,en [16] en,la [16] la,unión [16] unión,europea [16] europea,protegen [16] protegen,frente [16] frente,todas Top Word Pairs in Tweet in G9:
[6] para,aumentar [5] acceso,universal [5] de,#vacunascovid19 [3] el,acceso [3] universal,justo [3] justo,#vacunascovid19 [3] #vacunascovid19,es [3] es,socavado [3] socavado,por [3] por,el Top Word Pairs in Tweet in G10:
[2] tercera,dosis Top Replied-To in Entire Graph:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G6:
Top Mentioned in G7:
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: