The graph represents a network of 3,673 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 Friday, 14 June 2019 at 19:20 UTC.
The requested start date was Friday, 14 June 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, 23-hour, 27-minute period from Friday, 31 May 2019 at 00:08 UTC to Thursday, 13 June 2019 at 23:36 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 : 3673
Unique Edges : 5075
Edges With Duplicates : 1644
Total Edges : 6719
Number of Edge Types : 3
Mentions : 5070
Replies to : 803
Tweet : 846
Self-Loops : 846
Reciprocated Vertex Pair Ratio : 0.0184247823446042
Reciprocated Edge Ratio : 0.036182902584493
Connected Components : 546
Single-Vertex Connected Components : 426
Maximum Vertices in a Connected Component : 2907
Maximum Edges in a Connected Component : 5858
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.778612
Graph Density : 0.000372944652344406
Modularity : 0.602102
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3794] ø,ø [2507] ù,ø [2397] ø,ù [803] ú,ø [760] british,airways [729] ø,ú [681] ø,ûœø [531] ú,ûœ [522] andrew,brem [521] mr,andrew Top Word Pairs in Tweet in G1:
[175] í,ê [140] ì,ì [140] ì,í [140] ë,ì [140] ì,êµ [105] ë,í [82] following,link [70] ê,ë [70] êµ,í [70] ê,µ Top Word Pairs in Tweet in G2:
[38] customer,service [30] british,airways [20] britishairwsuck,britishairways [18] britishairways,flight [15] thanks,britishairways [15] britishairways,uk_caa [15] uk_caa,nats [15] nats,heathrownoise [15] 2,hours [14] business,class Top Word Pairs in Tweet in G3:
[354] ø,ø [256] ø,ù [252] ù,ø [194] à,à [97] ú,ø [92] british,airways [79] ø,ú [62] ø,ûœø [58] ù,ù [55] ø,û Top Word Pairs in Tweet in G4:
[1634] ø,ø [1069] ù,ø [969] ø,ù [284] ú,ø [283] ø,ûœø [236] ø,ú [201] ú,ûœ [194] ø,û [192] û,ø [163] ø,ùˆø Top Word Pairs in Tweet in G5:
[142] #airbus,#a350 [87] first,#airbus [84] #a350,1000 [84] 1000,#britishairways [84] #britishairways,emerge [84] emerge,paintshop [84] paintshop,today [84] today,picture [84] picture,l'ami [84] l'ami,tarmac Top Word Pairs in Tweet in G6:
[231] prime,minister [144] lands,islamabad [143] 1st,flight [143] flight,#britishairways [143] #britishairways,lands [143] islamabad,int'l [143] int'l,airport [143] airport,long [143] long,gap [143] gap,minister Top Word Pairs in Tweet in G7:
[365] mr,andrew [365] andrew,brem [213] british,airways [206] prime,minister [189] brem,coo [189] coo,british [189] airways,calls [189] calls,prime [189] minister,imran [189] imran,khan Top Word Pairs in Tweet in G8:
[702] ø,ø [519] ù,ø [416] ø,ù [221] ø,ú [194] ú,ø [160] ø,ûœø [148] ú,ûœ [101] ù,ú [100] ûœø,ø [97] ù,ù Top Word Pairs in Tweet in G9:
[10] thanks,_britishairways [9] ðÿ,thanks [9] _britishairways,✈ [9] ✈,picking [9] picking,up [9] up,magazine [9] magazine,'bussiness [9] 'bussiness,life'ðÿ [9] life'ðÿ,interview [9] interview,ðÿ Top Word Pairs in Tweet in G10:
[46] ø,ø [42] 1st,flight [40] big,day [40] direct,service [38] day,uk [38] uk,pak [38] pak,1st [38] flight,ofâ [38] ofâ,britishairways [38] britishairways,new Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: