The graph represents a network of 334 Twitter users whose recent tweets contained "#BTravel OR BTravelShow OR PROmarketingDAY", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/1/2023 12:00:00 AM and 3/21/2023 10:58:58 AM. The network was obtained from Twitter on Tuesday, 21 March 2023 at 18:00 UTC.
The tweets in the network were tweeted over the 43-day, 5-hour, 18-minute period from Monday, 06 February 2023 at 12:39 UTC to Tuesday, 21 March 2023 at 17:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 334
Unique Edges : 540
Edges With Duplicates : 1554
Total Edges : 2094
Number of Edge Types : 9
Retweet : 310
MentionsInRetweet : 842
MentionsInReplyTo : 546
Replies to : 93
Mentions : 142
MentionsInQuoteReply : 100
Tweet : 35
Quote : 15
MentionsInQuote : 11
Self-Loops : 122
Reciprocated Vertex Pair Ratio : 0.103954802259887
Reciprocated Edge Ratio : 0.188331627430911
Connected Components : 12
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 311
Maximum Edges in a Connected Component : 2054
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.978595
Graph Density : 0.00878423333513154
Modularity : 0.327222
NodeXL Version : 1.0.1.510
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=291674
Data Import : The graph represents a network of 334 Twitter users whose recent tweets contained "#BTravel OR BTravelShow OR PROmarketingDAY", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/1/2023 12:00:00 AM and 3/21/2023 10:58:58 AM. The network was obtained from Twitter on Tuesday, 21 March 2023 at 18:00 UTC.
The tweets in the network were tweeted over the 43-day, 5-hour, 18-minute period from Monday, 06 February 2023 at 12:39 UTC to Tuesday, 21 March 2023 at 17:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #BTravel OR BTravelShow OR PROmarketingDAY
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:
[64] 45,ponentes [54] gran,reto [54] btravelshow,fira_barcelona [52] aulacm,25 [51] 4ª,edición [49] vuelve,#promarketingday [49] 25,próximo [49] año,45 [49] ponentes,gran [49] próximo,marzo Top Word Pairs in Tweet in G1:
[54] btravelshow,fira_barcelona [38] 24,26 [32] saló,turisme [30] turisme,catalunya [28] cap,setmana [24] catalunya,btravelshow [24] fira_barcelona,proper [24] entrades,dobles [24] sortegem,10 [24] pel,saló Top Word Pairs in Tweet in G2:
[59] 45,ponentes [49] gran,reto [47] 45,puntos [46] aulacm,25 [45] 4ª,edición [44] año,45 [44] ponentes,gran [44] próximo,marzo [44] 25,próximo [44] vuelve,#promarketingday Top Word Pairs in Tweet in G3:
[33] ruthagua,anamillernet [33] desmarketinges,perbea123 [33] seoenmadrid,anabelanogs [33] marisolramos88,hraquelaldana1 [33] perbea123,seoenmadrid [33] anabelanogs,marisolramos88 [33] hraquelaldana1,ruthagua [22] activithink,desmarketinges [16] anamillernet,vidamaja [14] vidamaja,ir Top Word Pairs in Tweet in G4:
[7] desmarketinges,perbea123 [7] hraquelaldana1,ruthagua [7] seoenmadrid,anabelanogs [7] anabelanogs,marisolramos88 [7] perbea123,seoenmadrid [7] marisolramos88,hraquelaldana1 [6] ruthagua,anamillernet [5] anamillernet,vidamaja [4] i_abel,borjadelope [4] guidomorenob,nuupsistemas Top Word Pairs in Tweet in G5:
[2] começar,viver [2] tuas,férias [2] reserva,tus [2] estamos,tua [2] #vacaciones,#btravel [2] reserva,tuas [2] espera,parque [2] sorteo,realizado [2] próximas,#vacaciones [2] déjate,llevar Top Word Pairs in Tweet in G6:
[3] #btravel,#barcelona [2] 24,26 [2] #turismo,#btravel Top Word Pairs in Tweet in G7:
[3] 10,12 [3] barcelona,tourism [3] 2023,spain [3] spain,host [3] help,invest [3] fair,salons [3] tourism,fair [3] salons,help [3] 12,march [3] host,travel Top Word Pairs in Tweet in G9:
[2] blog,salón [2] primera,blog [2] emocionada,alguien [2] salón,turismo [2] asisto,primera [2] estoy,emocionada [2] turismo,estoy [2] viernes,asisto Top Word Pairs in Tweet in G10:
[2] cita,travel [2] marzo,año [2] preparativos,nuestra [2] 24,26 [2] nuestra,próxima [2] año,lema [2] 26,marzo [2] próxima,cita [2] barcelona,24 [2] travel,barcelona 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 G4:
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 Mentioned in G7:
Top Mentioned in G8:
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: