The graph represents a network of 37 Twitter users whose recent tweets contained "TAP_AIRLINE", 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, 09 January 2020 at 21:24 UTC.
The tweets in the network were tweeted over the 7-day, 7-hour, 28-minute period from Thursday, 02 January 2020 at 05:04 UTC to Thursday, 09 January 2020 at 12:32 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 : 37
Unique Edges : 32
Edges With Duplicates : 0
Total Edges : 32
Number of Edge Types : 5
MentionsInRetweet : 9
Mentions : 8
Replies to : 5
Retweet : 3
Tweet : 7
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 14
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 13
Maximum Edges in a Connected Component : 14
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.73516
Graph Density : 0.0187687687687688
Modularity : 0.710205
NodeXL Version : 1.0.1.422
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=219920
Data Import : The graph represents a network of 37 Twitter users whose recent tweets contained "TAP_AIRLINE", 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, 09 January 2020 at 21:24 UTC.
The tweets in the network were tweeted over the 7-day, 7-hour, 28-minute period from Thursday, 02 January 2020 at 05:04 UTC to Thursday, 09 January 2020 at 12:32 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 : TAP_AIRLINE
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:
[11] mais,seguras [9] seguras,mundo [8] airline_ratings,tap [8] 20,companhias [8] companhias,aéreas [8] aéreas,mais [7] seguramente,uma [7] uma,melhores [7] melhores,notícias [7] notícias,podíamos Top Word Pairs in Tweet in G1:
[6] seguramente,uma [6] uma,melhores [6] melhores,notícias [6] notícias,podíamos [6] podíamos,receber [6] receber,início [6] início,2020 [6] 2020,acordo [6] acordo,site [6] site,airline_ratings Top Word Pairs in Tweet in G2:
[2] airline_ratings,tap [2] tapairportugal,airline [2] airline,recommends [2] recommends,go [2] go,competitor [2] competitor,fix [2] fix,mistake [2] mistake,tap [2] tap,cancelled [2] cancelled,flight Top Word Pairs in Tweet in G3:
[2] tap,portugal [2] mais,seguras [2] seguras,mundo [2] airline,ratings Top Word Pairs in Tweet in G5:
[2] parabéns,tap [2] tap,air [2] air,portugal [2] portugal,aos [2] aos,nossos [2] nossos,ex [2] ex,alunos [2] alunos,seu [2] seu,trabalho [2] trabalho,colocaram Top Word Pairs in Tweet in G6:
[2] tap,direct [2] direct,feeds [2] feeds,read [2] read,900 [2] 900,global [2] global,airlines [2] airlines,access [2] access,20 [2] 20,years [2] years,historical Top Word Pairs in Tweet in G10:
[2] chinese,man [2] man,tossed [2] tossed,coins [2] coins,plane [2] plane,engine [2] engine,good [2] good,luck [2] luck,ordered [2] ordered,pay [2] pay,airline Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G7:
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 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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: