The graph represents a network of 4,301 Twitter users whose tweets in the requested range contained "BritishAirways", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 July 2019 at 19:21 UTC.
The requested start date was Friday, 19 July 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 16-minute period from Friday, 05 July 2019 at 15:38 UTC to Thursday, 18 July 2019 at 23:55 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 : 4301
Unique Edges : 5246
Edges With Duplicates : 1729
Total Edges : 6975
Number of Edge Types : 3
Replies to : 868
Mentions : 4491
Tweet : 1616
Self-Loops : 1616
Reciprocated Vertex Pair Ratio : 0.0190349712262063
Reciprocated Edge Ratio : 0.0373588184187663
Connected Components : 1102
Single-Vertex Connected Components : 803
Maximum Vertices in a Connected Component : 2641
Maximum Edges in a Connected Component : 5097
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.113621
Graph Density : 0.000248941565779727
Modularity : 0.631371
NodeXL Version : 1.0.1.417
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[917] british,airways [418] data,breach [272] faces,record [260] 183m,fine [208] record,183m [201] fine,data [193] 183,million [184] airways,faces [163] #britishairways,faces [159] #britishairways,#databreach Top Word Pairs in Tweet in G1:
[249] british,airways [98] data,breach [84] 183m,fine [65] faces,record [65] record,183m [53] #britishairways,faces [45] airways,faces [38] million,fine [38] fine,data [36] 183,million Top Word Pairs in Tweet in G2:
[94] following,link [39] using,link [37] sales,team [36] british,airways [33] 2,2 [31] find,out [30] contact,details [29] out,more [29] please,use [25] more,information Top Word Pairs in Tweet in G3:
[218] british,airways [158] data,breach [96] 183,million [94] 183m,fine [94] #gdpr,#britishairways [81] faces,record [80] #britishairways,#databreach [69] record,183m [67] fine,data [53] #britishairways,faces Top Word Pairs in Tweet in G4:
[27] britishairways,usairforce [26] air,force [25] boarded,britishairways [25] britishairways,route [25] route,texas [25] texas,visit [25] visit,usairforce [25] usairforce,randolph [25] randolph,air [25] force,base Top Word Pairs in Tweet in G5:
[30] british,airways [19] customer,service [13] britishairways,expediauk [11] flight_refunds,britishairways [10] flight,cancelled [10] #britishairways,flight [8] club,world [8] gatwick_airport,britishairways [7] now,delayed [7] didn,t Top Word Pairs in Tweet in G6:
[53] britain's,nice [53] nice,livery [53] livery,wich [53] wich,one [53] one,favorites [53] favorites,face [53] face,face [53] face,2 [53] 2,first [53] first,#airbus Top Word Pairs in Tweet in G7:
[52] british,airways [51] nigerian,poet [51] poet,dr [51] dr,dami [51] dami,ajayi [51] ajayi,lost [51] lost,laptop [51] laptop,work [51] work,manuscript [51] manuscript,british Top Word Pairs in Tweet in G8:
[49] british,airways [49] airways,faces [49] faces,record [49] record,183mln [49] 183mln,fine [49] fine,data [49] data,breach [49] breach,under [49] under,#gdpr [49] #gdpr,think Top Word Pairs in Tweet in G9:
[41] nur,zur [41] zur,erinnerung [41] erinnerung,ziel [41] ziel,des [41] des,#datenschutz [41] #datenschutz,großen [41] großen,#datenverarbeitern [41] #datenverarbeitern,#facebook [41] #facebook,#google [41] #google,#marriott Top Word Pairs in Tweet in G10:
[37] dimensionar,noticia [37] noticia,día [37] día,multa [37] multa,libras [37] libras,euros [37] euros,pesos [37] pesos,mexicanos [37] mexicanos,183 [37] 183,390 [37] 390,00 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: