The graph represents a network of 23,106 Twitter users whose recent tweets contained "lost baggage", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 12/31/2023 11:59:59 PM. The network was obtained from Twitter on Thursday, 22 February 2024 at 23:50 UTC.
The tweets in the network were tweeted over the 1205-day, 17-hour, 21-minute period from Wednesday, 04 November 2020 at 07:28 UTC to Friday, 23 February 2024 at 00:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 23106
Unique Edges : 21642
Edges With Duplicates : 7341
Total Edges : 28983
Number of Edge Types : 7
Tweet : 3106
MentionsInReplyTo : 6244
Mentions : 8435
Replies to : 10045
Quote : 671
MentionsInQuote : 466
MentionsInQuoteReply : 16
Self-Loops : 4557
Reciprocated Vertex Pair Ratio : 0.0186011904761905
Reciprocated Edge Ratio : 0.0365230094959825
Connected Components : 5822
Single-Vertex Connected Components : 3063
Maximum Vertices in a Connected Component : 12270
Maximum Edges in a Connected Component : 19966
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.441833
Graph Density : 3.84648431053047E-05
Modularity : 0.711256
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 23,106 Twitter users whose recent tweets contained "lost baggage", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 50,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 12/31/2023 11:59:59 PM. The network was obtained from Twitter on Thursday, 22 February 2024 at 23:50 UTC.
The tweets in the network were tweeted over the 1205-day, 17-hour, 21-minute period from Wednesday, 04 November 2020 at 07:28 UTC to Friday, 23 February 2024 at 00:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : lost baggage
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:
[8111] lost,baggage [1891] baggage,lost [1231] lost,found [1124] lost,luggage [1060] baggage,claim [941] sorry,hear [720] customer,service [562] delayed,baggage [546] baggage,report [440] please,help Top Word Pairs in Tweet in G1:
[1176] lost,baggage [228] baggage,lost [191] baggage,claim [183] lost,luggage [140] air,canada [126] travel,insurance [108] lost,found [74] people,lost [60] much,baggage [59] unclaimed,baggage Top Word Pairs in Tweet in G2:
[774] lost,baggage [250] baggage,lost [102] air,india [87] please,help [61] customer,service [56] baggage,team [55] indigo6e,lost [47] customer,care [42] regarding,lost [36] lost,found Top Word Pairs in Tweet in G3:
[540] lost,baggage [269] lost,luggage [244] sorry,hear [243] claim,lost [224] track,baggage [224] made,claim [222] luggage,track [221] already,made [220] soon,possible [213] baggage,soon Top Word Pairs in Tweet in G4:
[556] lost,baggage [247] baggage,report [217] delayed,baggage [195] sorry,hear [122] found,lost [117] hear,delayed [97] lost,found [97] baggage,lost [93] baggage,please [92] lost,luggage Top Word Pairs in Tweet in G5:
[111] much,baggage [93] trump,lost [62] lost,2020 [55] more,baggage [50] already,lost [36] baggage,trump [31] baggage,lost [29] lost,baggage [29] lost,biden [29] lose,again Top Word Pairs in Tweet in G6:
[412] lost,baggage [93] baggage,lost [78] lost,luggage [69] air,canada [57] baggage,claim [54] customer,service [48] aircanada,lost [40] delayed,baggage [34] please,help [30] lost,bag Top Word Pairs in Tweet in G7:
[266] lost,baggage [95] baggage,claim [53] customer,service [53] baggage,lost [41] lost,luggage [34] lost,found [33] lost,bag [32] baggage,service [29] united,lost [18] bag,lost Top Word Pairs in Tweet in G8:
[324] lost,baggage [97] gt,gt [89] upon,arrival [87] immediately,upon [85] arrival,mishandled [85] luggage,office [85] mishandled,luggage [85] reported,immediately [83] baggage,reported [82] before,leaving Top Word Pairs in Tweet in G9:
[241] lost,baggage [77] sorry,hear [54] baggage,lost [52] baggage,claim [43] damaged,baggage [42] lost,luggage [39] helpful,information [39] information,additional [39] additional,resources [39] lost,damaged Top Word Pairs in Tweet in G10:
[357] lost,baggage [88] baggage,lost [51] customer,service [46] air,france [37] klm,lost [29] lost,bags [23] lost,luggage [23] please,help [21] please,take [21] airfrance,lost Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: