The graph represents a network of 29 Twitter users whose recent tweets contained "#SportBizLatam", 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, 07 May 2021 at 04:29 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 19-minute period from Thursday, 29 April 2021 at 12:54 UTC to Thursday, 06 May 2021 at 17:14 UTC.
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 : 29
Unique Edges : 51
Edges With Duplicates : 5
Total Edges : 56
Number of Edge Types : 4
Retweet : 11
MentionsInRetweet : 19
Mentions : 18
Tweet : 8
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.0212765957446809
Reciprocated Edge Ratio : 0.0416666666666667
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 24
Maximum Edges in a Connected Component : 51
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.743676
Graph Density : 0.0591133004926108
Modularity : 0.40338
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 29 Twitter users whose recent tweets contained "#SportBizLatam", 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, 07 May 2021 at 04:29 UTC.
The tweets in the network were tweeted over the 7-day, 4-hour, 19-minute period from Thursday, 29 April 2021 at 12:54 UTC to Thursday, 06 May 2021 at 17:14 UTC.
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 : #SportBizLatam
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:
[20] #sportbizlatam,live [13] 19,20 [13] 20,mayo [7] mayo,industria [7] tickets,venta [7] venta,#sportbiz [6] ecosistema,deportivo [5] live,día [5] industria,deportiva [5] vuelve,encontrarse Top Word Pairs in Tweet in G1:
[16] #sportbizlatam,live [11] 19,20 [11] 20,mayo [7] mayo,industria [7] tickets,venta [7] venta,#sportbiz [6] ecosistema,deportivo [5] industria,deportiva [5] vuelve,encontrarse [5] encontrarse,online Top Word Pairs in Tweet in G2:
[3] guido,baroli [2] #sportbizlatam,live [2] live,pasión [2] pasión,profesionalizada [2] profesionalizada,clubes [2] clubes,dependen [2] dependen,azar [2] azar,gtes [2] gtes,generales [2] generales,chinobesc Top Word Pairs in Tweet in G3:
[4] alianza,académica [4] académica,#sportbizlatam [4] #sportbizlatam,acercamos [4] acercamos,nuestra [4] nuestra,comunidad [4] comunidad,posibilidad [4] posibilidad,acceder [4] acceder,código [4] código,participar [4] participar,evento Top Word Pairs in Tweet in G4:
[2] #sportbizlatam,live [2] live,día [2] día,mjimenez81 [2] mjimenez81,jurídica [2] jurídica,secretaria [2] secretaria,legal [2] legal,adjunta [2] adjunta,conmebol [2] conmebol,presentará [2] presentará,fair Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: