The graph represents a network of 7,586 Twitter users whose recent tweets contained "Lufthansa", 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 Friday, 06 January 2023 at 13:28 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 5-minute period from Tuesday, 27 December 2022 at 12:55 UTC to Friday, 06 January 2023 at 13:01 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 : 7586
Unique Edges : 11594
Edges With Duplicates : 11922
Total Edges : 23516
Number of Edge Types : 5
Tweet : 2849
Replies to : 6594
Mentions : 7543
Retweet : 3405
MentionsInRetweet : 3125
Self-Loops : 2919
Reciprocated Vertex Pair Ratio : 0.0678550891316849
Reciprocated Edge Ratio : 0.127086698976844
Connected Components : 1330
Single-Vertex Connected Components : 759
Maximum Vertices in a Connected Component : 4756
Maximum Edges in a Connected Component : 20039
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.090937
Graph Density : 0.000225913154735826
Modularity : 0.430154
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,586 Twitter users whose recent tweets contained "Lufthansa", 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 Friday, 06 January 2023 at 13:28 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 5-minute period from Tuesday, 27 December 2022 at 12:55 UTC to Friday, 06 January 2023 at 13:01 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 : Lufthansa
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:
[467] lufthansa,flight [332] boeing,747 [321] passenger,laptop [321] lufthansa,lufthansa_de [321] caught,fire [318] laptop,caught [299] times,#scotradar [296] #lufthansa,#germany [286] diverted,chicago [284] customer,service Top Word Pairs in Tweet in G1:
[84] customer,relations [77] sorry,hear [62] customer,service [60] feedback,id [57] service,center [55] social,media [40] lufthansa,lufthansa_de [39] delayed,baggage [38] loss,report [34] united,lufthansa Top Word Pairs in Tweet in G2:
[276] lufthansa,lufthansa_de [211] customer,service [104] lufthansa,muc_airport [86] still,waiting [77] lufthansa_de,lufthansa_usa [69] muc_airport,lufthansa [67] lufthansa,lufthansa_usa [61] lufthansa_de,lufthansa [60] please,help [59] customer,relations Top Word Pairs in Tweet in G3:
[267] frm,hrzn [267] hrzn,heading [265] airport,away [250] #putney,#sw15 [250] #sw15,#adsb [192] 271nsl,lufthansa [192] a320,271nsl [183] heathrow,airport [183] airport,heathrow [156] frankfurt,airport Top Word Pairs in Tweet in G4:
[49] _lufthansa_,astro_egg_celnt [22] squidunderfoot,ericastration [21] tssalamander,_lufthansa_ [21] gugullig,_lufthansa_ [15] tssalamander,gugullig [15] astro_egg_celnt,squidunderfoot [14] _lufthansa_,incogpingu [14] _lufthansa_,p0liticsenjoyer [14] privkasie,_lufthansa_ [13] _lufthansa_,radical_ivy Top Word Pairs in Tweet in G5:
[60] #aviation,#avgeek [48] airwaysmagazine,staralliance [48] aerotelegraph,airwaysmagazine [48] aerode,aerotelegraph [48] staralliance,sternde [47] a350,900 [47] lufthansa,a350 [46] lufthansa,b747 [45] southern,runway [45] pictures,lufthansa Top Word Pairs in Tweet in G6:
[65] lufthansalatina,lufthansa_de [57] boeing,747 [48] evange_anderson,lufthansalatina [45] 787,abpc [45] lufthansa,787 [33] de_aviacion,vuelosdiarios [33] vuelosdiarios,bettycbr [33] jpspotter_,lufthansalatina [32] bettycbr,sebasstianpine [32] sebasstianpine,jpspotter_ Top Word Pairs in Tweet in G7:
[199] lufthansa,flight [192] passenger,laptop [192] performing,flight [192] diverted,chicago [192] frankfurt,26th [192] angeles,frankfurt [192] visuals,lufthansa [192] midair,performing [192] smoke,cabin [192] caught,fire Top Word Pairs in Tweet in G8:
[132] foram,intoxicados [132] imagina,notebook [132] notebook,pegou [132] programado,avião [132] chatice,nossa [132] dois,deles [132] intoxicados,hospitalizados [132] pega,fogo [132] cabine,passageiros [132] passageiros,747 Top Word Pairs in Tweet in G9:
[299] times,#scotradar [292] #lufthansa,#germany [232] #germany,#airbus [122] vlakbij,wolfheze [122] utc,#adsb [122] #adsb,#avgeek [120] lufthansa,vlakbij [120] deutsche,lufthansa [116] ft,squawk [116] oper,lufthansa Top Word Pairs in Tweet in G10:
[24] einreisebestimmungen,chinesen [24] deutschland,lufthansa [24] co,verschärfen [24] japan,neuseeland [24] running,gag [24] setzt,mehr [24] neuseeland,co [24] usa,japan [24] mehr,flugzeuge [24] vorbereitung,usa 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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: