The graph represents a network of 31 Twitter users whose recent tweets contained "#Interconexiona OR @Mireia_Gargallo OR @Interconexiona", 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 Thursday, 05 November 2020 at 16:31 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 56-minute period from Wednesday, 28 October 2020 at 06:12 UTC to Thursday, 05 November 2020 at 04:08 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 : 31
Unique Edges : 53
Edges With Duplicates : 101
Total Edges : 154
Number of Edge Types : 5
Retweet : 21
MentionsInRetweet : 19
Mentions : 35
Tweet : 70
Replies to : 9
Self-Loops : 70
Reciprocated Vertex Pair Ratio : 0.166666666666667
Reciprocated Edge Ratio : 0.285714285714286
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 29
Maximum Edges in a Connected Component : 151
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.078107
Graph Density : 0.067741935483871
Modularity : 0.216763
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 31 Twitter users whose recent tweets contained "#Interconexiona OR @Mireia_Gargallo OR @Interconexiona", 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 Thursday, 05 November 2020 at 16:31 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 56-minute period from Wednesday, 28 October 2020 at 06:12 UTC to Thursday, 05 November 2020 at 04:08 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 : #Interconexiona OR @Mireia_Gargallo OR @Interconexiona
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:
[67] #empleo,#trabajo [67] #trabajo,#emprendimiento [67] #emprendimiento,#rrhh [67] #rrhh,#formacion [67] #formacion,#interconexiona [67] #interconexiona,munozparreno [13] hoja,ruta [11] ciclo,#skillsuoc [11] ruta,hacia [11] hacia,éxito Top Word Pairs in Tweet in G1:
[67] #empleo,#trabajo [67] #trabajo,#emprendimiento [67] #emprendimiento,#rrhh [67] #rrhh,#formacion [67] #formacion,#interconexiona [67] #interconexiona,munozparreno [9] hoja,ruta [7] ciclo,#skillsuoc [7] ruta,hacia [7] hacia,éxito Top Word Pairs in Tweet in G2:
[4] ciclo,#skillsuoc [4] hoja,ruta [4] ruta,hacia [4] hacia,éxito [4] éxito,profesional [3] 10,11 [2] #webinar,hoja [2] mireia_gargallo,orientadora [2] orientadora,laboral [2] laboral,ceo Top Word Pairs in Tweet in G5:
[2] ii,buscar [2] buscar,#empleo [2] #empleo,#hashtags [2] #hashtags,tiempos [2] tiempos,crisis [2] crisis,gestiona [2] gestiona,#linkedin [2] #linkedin,#interconexiona [2] #interconexiona,#seohashtag Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: