The graph represents a network of 489 Twitter users whose recent tweets contained "#AvilaEnTapas", 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 Friday, 25 June 2021 at 15:43 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 54-minute period from Thursday, 17 June 2021 at 07:47 UTC to Friday, 25 June 2021 at 15:42 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 : 489
Unique Edges : 1026
Edges With Duplicates : 8082
Total Edges : 9108
Number of Edge Types : 5
Mentions : 4807
Retweet : 1250
MentionsInRetweet : 2269
Replies to : 700
Tweet : 82
Self-Loops : 92
Reciprocated Vertex Pair Ratio : 0.131546134663342
Reciprocated Edge Ratio : 0.232506887052342
Connected Components : 5
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 482
Maximum Edges in a Connected Component : 9102
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.651204
Graph Density : 0.0076058533641758
Modularity : 0.11179
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 489 Twitter users whose recent tweets contained "#AvilaEnTapas", 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 Friday, 25 June 2021 at 15:43 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 54-minute period from Thursday, 17 June 2021 at 07:47 UTC to Friday, 25 June 2021 at 15:42 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 : #AvilaEnTapas
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:
[428] avilagro_org,fhosteleria [424] ayto_avila,avilagro_org [340] síguenos,twitter [340] twitter,retuitea [340] retuitea,mensaje [274] establecimientos,#ávilaentapas [273] vale,50 [263] consigue,vale [262] comentarios,personas [224] #ávila,#estarcomoencasa Top Word Pairs in Tweet in G1:
[167] síguenos,twitter [167] twitter,retuitea [167] retuitea,mensaje [136] comentarios,personas [129] vale,50 [129] establecimientos,#ávilaentapas [126] consigue,vale [107] 50,canjear [107] canjear,establecimientos [103] personas,disfrutarías Top Word Pairs in Tweet in G2:
[332] avilagro_org,fhosteleria [325] ayto_avila,avilagro_org [189] destinocyl,destino_sabor [161] yendoporlavida,destinocyl [144] recetasdecarol,zampatelmundo [141] #ávila,#estarcomoencasa [138] avila_turismo,ayto_avila [123] zampatelmundo,yendoporlavida [106] ávila,tapas [97] #estarcomoencasa,ayto_avila Top Word Pairs in Tweet in G3:
[43] avilagro_org,fhosteleria [42] ayto_avila,avilagro_org [36] ávila,tapas [35] síguenos,twitter [35] twitter,retuitea [35] retuitea,mensaje [33] vale,50 [33] establecimientos,#ávilaentapas [32] consigue,vale [31] #ávila,#avilaentapas Top Word Pairs in Tweet in G4:
[42] ayto_avila,avilagro_org [39] avilagro_org,fhosteleria [34] #ávila,#estarcomoencasa [28] #estarcomoencasa,ayto_avila [18] ℹhttps,co [15] co,uyaz0teavd [15] uyaz0teavd,#ávila [15] avila_turismo,ayto_avila [11] síguenos,twitter [11] twitter,retuitea Top Word Pairs in Tweet in G5:
[10] canjear,establecimientos [9] 50,canjear [9] síguenos,twitter [9] twitter,retuitea [9] retuitea,mensaje [9] comentarios,personas [9] personas,disfrutarías [9] disfrutarías,tapa [9] tapa,#ávila [6] participan,#ávilaentapas Top Word Pairs in Tweet in G6:
[11] avila_turismo,#avilaentapas [10] #avilaentapas,#avila [9] síguenos,twitter [9] twitter,retuitea [9] retuitea,mensaje [8] comentarios,personas [6] 50,canjear [6] canjear,establecimientos [6] personas,disfrutarías [6] disfrutarías,tapa Top Word Pairs in Tweet in G7:
[5] concurso,consigue [5] síguenos,twitter [5] twitter,retuitea [5] retuitea,mensaje [5] comentarios,personas [4] consigue,día [4] día,cheque [4] cheque,50 [4] 50,canjear [4] canjear,establecimientos Top Word Pairs in Tweet in G8:
[7] síguenos,twitter [7] twitter,retuitea [7] retuitea,mensaje [6] consigue,vale [6] vale,50 [6] establecimientos,#ávilaentapas [4] #ávilaentapas,síguenos [4] comentarios,personas [4] 50,establecimientos [4] olvides,ht Top Word Pairs in Tweet in G9:
[3] consigue,vale [3] vale,50 [3] establecimientos,#ávilaentapas [3] síguenos,twitter [3] twitter,retuitea [3] retuitea,mensaje [2] 50,establecimientos [2] #ávilaentapas,síguenos [2] mensaje,dinos [2] olvides,ht Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: