The graph represents a network of 36 Twitter users whose recent tweets contained "#TransVisionMadrid", 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 Saturday, 19 November 2022 at 05:46 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 13-minute period from Thursday, 10 November 2022 at 09:56 UTC to Friday, 18 November 2022 at 16:09 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 : 36
Unique Edges : 105
Edges With Duplicates : 146
Total Edges : 251
Number of Edge Types : 4
Mentions : 32
MentionsInRetweet : 95
Retweet : 62
Tweet : 62
Self-Loops : 63
Reciprocated Vertex Pair Ratio : 0.0725806451612903
Reciprocated Edge Ratio : 0.135338345864662
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 251
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.927469
Graph Density : 0.105555555555556
Modularity : 0.169339
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 36 Twitter users whose recent tweets contained "#TransVisionMadrid", 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 Saturday, 19 November 2022 at 05:46 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 13-minute period from Thursday, 10 November 2022 at 09:56 UTC to Friday, 18 November 2022 at 16:09 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 : #TransVisionMadrid
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[41] biostasis,first [41] first,response [40] #bfr,training [36] #transvisionmadrid,biostasis [30] response,#bfr [30] 13,madrid [30] host,next [30] madrid,host [30] 12,13 [29] #,#future Top Word Pairs in Tweet in G1:
[6] #transvisionmadrid,estamos [5] #transvisionmadrid,biostasis [5] first,response [5] biostasis,first [4] hablamos,#biostasis [4] #ciencia,gracias [4] gracias,apoyo [4] training,#youtube [4] directo,#youtube [4] cordeiro,natashavitamore Top Word Pairs in Tweet in G2:
[18] first,response [18] biostasis,first [16] #bfr,training [14] #transvisionmadrid,biostasis [13] #future,#humanity [13] response,#bfr [13] host,next [13] 12,13 [13] next,# [13] madrid,host Top Word Pairs in Tweet in G3:
[5] #transvisionmadrid,estamos [4] ramon,tamames [4] ieuropeo,javiercremades [4] cordeiro,ramon [4] directo,vía [4] paulspiegel,natashavitamore [4] vía,#youtube [4] estamos,comenzando [4] javiercremades,cordeiro [4] tamames,síguelo Top Word Pairs in Tweet in G4:
[17] #bfr,training [17] biostasis,first [17] first,response [16] #transvisionmadrid,biostasis [15] response,#bfr [15] 13,madrid [15] host,next [15] madrid,host [15] 12,13 [14] #,#future Top Word Pairs in Tweet in G5:
[4] venue,looking [4] looking,serious [4] #transvisionmadrid,venue [4] reached,#transvisionmadrid [2] accelerating,adoption [2] presentation,#transvisionmadrid [2] changes,soon [2] #transvisionmadrid,saturday [2] forthcoming,technological [2] saturday,anticipating Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: