The graph represents a network of 4,269 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 5,000 tweets. The network was obtained from Twitter on Monday, 28 June 2021 at 19:41 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 1-minute period from Thursday, 24 June 2021 at 09:23 UTC to Monday, 28 June 2021 at 19:25 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 : 4269
Unique Edges : 4880
Edges With Duplicates : 1787
Total Edges : 6667
Number of Edge Types : 5
Retweet : 4500
MentionsInRetweet : 1283
Mentions : 445
Replies to : 97
Tweet : 342
Self-Loops : 348
Reciprocated Vertex Pair Ratio : 0.00532117065754466
Reciprocated Edge Ratio : 0.010586011342155
Connected Components : 271
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 2622
Maximum Edges in a Connected Component : 4128
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.27535
Graph Density : 0.000290338819364908
Modularity : 0.584575
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,269 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 5,000 tweets. The network was obtained from Twitter on Monday, 28 June 2021 at 19:41 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 1-minute period from Thursday, 24 June 2021 at 09:23 UTC to Monday, 28 June 2021 at 19:25 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:
[1797] de,los [1688] uno,de [1686] después,de [1682] en,esta [1678] es,uno [1675] los,mayores [1674] #infodemia,#vacunascovid19 [1674] #vacunascovid19,esta [1674] esta,publicación [1674] publicación,es Top Word Pairs in Tweet in G1:
[1663] #vacunascovid19,esta [1663] esta,publicación [1663] publicación,es [1663] es,uno [1663] uno,de [1663] de,los [1663] los,mayores [1663] mayores,actos [1663] actos,de [1663] de,irresponsabilidad Top Word Pairs in Tweet in G2:
[49] sesión,plenaria [45] en,la [43] #vacunascovid19,en [39] al,guatemalagob [38] el,30 [38] 30,diciembre [38] diciembre,2020 [38] 2020,en [38] la,ultima [38] ultima,conferencia Top Word Pairs in Tweet in G3:
[122] más,de [119] en,la [119] la,investigación [119] producción,de [119] de,#cuba [119] de,#vacunascovid19 [118] de,30 [118] 30,años [118] años,de [118] de,experiencia Top Word Pairs in Tweet in G4:
[17] de,la [14] las,#vacunascovid19 [13] dosis,de [11] en,la [10] primera,dosis [10] #covid19,#vacunascovid19 [9] las,vacunas [8] de,las [8] para,la [7] covid,19 Top Word Pairs in Tweet in G5:
[116] la,comunidadmadrid [116] comunidadmadrid,amplía [116] amplía,hoy [116] hoy,el [116] el,sistema [116] sistema,de [116] de,autocitación [116] autocitación,para [116] para,vacunarse [116] vacunarse,contra Top Word Pairs in Tweet in G6:
[188] contrato,directo [94] mm,se [94] se,viene [94] viene,una [94] una,gran [94] gran,cantidad [94] cantidad,de [94] de,#vacunascovid19 [94] #vacunascovid19,dos [94] dos,mm Top Word Pairs in Tweet in G7:
[134] dosis,de [72] de,#vacunascovid19 [66] de,la [62] la,población [62] población,venezolana [62] venezolana,ha [62] ha,recibido [62] recibido,dosis [62] #vacunascovid19,814 [62] 814,000 Top Word Pairs in Tweet in G8:
[76] han,vacunado [76] vacunado,felipe [76] felipe,vi [76] vi,es [76] es,una [76] una,buena [76] buena,noticia [76] noticia,eso [76] eso,significa [76] significa,están Top Word Pairs in Tweet in G9:
[26] las,#vacunascovid19 [22] diluyente,incorrecto [20] en,el [19] de,las [18] de,#vacunascovid19 [17] #segpac,posibles [17] posibles,#errores [17] #errores,en [17] el,proceso [17] proceso,de Top Word Pairs in Tweet in G10:
[11] de,junio [11] sin,cita [10] de,#vacunascovid19 [9] ime_sre,ssalud_mx [7] de,12 [7] 12,años [7] ssalud_mx,xborderamb [6] millones,de [6] te,compartimos [6] las,jornadas 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 G5:
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 G5:
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: