The graph represents a network of 13,635 Twitter users whose recent tweets contained "RyanAir", 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 Sunday, 24 October 2021 at 10:52 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 6-minute period from Friday, 15 October 2021 at 09:46 UTC to Sunday, 24 October 2021 at 09:53 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 : 13635
Unique Edges : 15942
Edges With Duplicates : 6201
Total Edges : 22143
Number of Edge Types : 5
Retweet : 6843
MentionsInRetweet : 1681
Replies to : 4264
Tweet : 3742
Mentions : 5613
Self-Loops : 3780
Reciprocated Vertex Pair Ratio : 0.0304382051954867
Reciprocated Edge Ratio : 0.0590781767252355
Connected Components : 2308
Single-Vertex Connected Components : 1269
Maximum Vertices in a Connected Component : 8953
Maximum Edges in a Connected Component : 15922
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.299269
Graph Density : 8.44972277776406E-05
Modularity : 0.633077
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 13,635 Twitter users whose recent tweets contained "RyanAir", 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 Sunday, 24 October 2021 at 10:52 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 6-minute period from Friday, 15 October 2021 at 09:46 UTC to Sunday, 24 October 2021 at 09:53 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 : RyanAir
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:
[2109] asiento,vuelo [2108] cobre,maleta [2108] maleta,asiento [2108] vuelo,embarque [1811] pensando,pensamientos [1805] vuelos,9'99 [1805] 9'99,ryanair [1804] ryanair,pensando [845] 737ng,8as [636] #ryanair,#ireland Top Word Pairs in Tweet in G1:
[2039] cobre,maleta [2039] maleta,asiento [2039] asiento,vuelo [2039] vuelo,embarque [5] irnos,viaje [4] quién,pillar [4] pillar,vuelos [4] vuelos,baratos [4] baratos,ryanair [4] ryanair,irnos Top Word Pairs in Tweet in G2:
[1798] vuelos,9'99 [1798] 9'99,ryanair [1798] ryanair,pensando [1798] pensando,pensamientos [49] cobre,maleta [49] maleta,asiento [49] asiento,vuelo [49] vuelo,embarque [3] claven,pavos [3] pavos,enviarte Top Word Pairs in Tweet in G3:
[101] mellor76,ryanair [78] inec,arena [75] gleneagle,inec [75] ryanair,gleneagle [54] ryanair,inec [43] boeing,737 [38] ryanair,hi [37] customer,service [37] ryanair,flight [35] flying,ryanair Top Word Pairs in Tweet in G4:
[305] boeing,737ng [281] 737ng,8as [273] 8as,ryanair [245] 2021,10 [243] #ryanair,first [243] first,seen [243] seen,2021 [243] min,alt [243] ft,msl [243] msl,min Top Word Pairs in Tweet in G5:
[252] ryanair,askryanair [60] askryanair,ryanairpress [54] ryanair,flight [49] ryanair,piersmorgan [47] askryanair,ryanair [43] cancellation,email [43] customer,service [41] email,ryanair [40] didn,receive [40] flight,operate Top Word Pairs in Tweet in G6:
[55] ryanair_es,rubiu5 [54] rubiu5,spibairon [47] gracias,ryanair_es [43] superhéroes,divierte [43] viendo,videos [43] iron,man [43] man,casa [42] erik,encantan [42] encantan,superhéroes [42] divierte,montón Top Word Pairs in Tweet in G7:
[329] well,done [329] done,ryanair [328] oh,plane [328] plane,leave [328] leave,plague [328] plague,island [328] island,slight [328] slight,delay [328] delay,passengers [328] passengers,without Top Word Pairs in Tweet in G8:
[182] arkadaşım,çelik [182] çelik,efe [182] efe,ayerdem [182] ayerdem,bugün [182] bugün,erasmus [182] erasmus,projesi [182] projesi,ile [182] ile,bulunduğu [182] bulunduğu,bulgaristan [182] bulgaristan,sofya Top Word Pairs in Tweet in G9:
[116] stansted,airport [114] damaged,tug [64] ryanair,boeing [60] boeing,737 [58] 737,800 [58] 800,id [58] id,unknown [58] unknown,severely [58] severely,damaged [58] tug,incident Top Word Pairs in Tweet in G10:
[112] 99,gli [57] l'ho,viaggiata [56] ho,provato [56] provato,scrivere [56] scrivere,strappalacrime [56] strappalacrime,#alitalia [56] #alitalia,ma [56] ma,io [56] io,l'europa [56] l'europa,l'ho 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 Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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 G6:
Top Mentioned in G7:
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: