The graph represents a network of 2,158 Twitter users whose recent tweets contained "lost baggage", 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 Wednesday, 31 August 2022 at 15:20 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 25-minute period from Monday, 22 August 2022 at 09:42 UTC to Wednesday, 31 August 2022 at 15:07 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 : 2158
Unique Edges : 2026
Edges With Duplicates : 1380
Total Edges : 3406
Number of Edge Types : 5
Replies to : 1407
Mentions : 1462
Tweet : 222
Retweet : 182
MentionsInRetweet : 133
Self-Loops : 235
Reciprocated Vertex Pair Ratio : 0.0161764705882353
Reciprocated Edge Ratio : 0.0318379160636758
Connected Components : 363
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 1356
Maximum Edges in a Connected Component : 2637
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.525496
Graph Density : 0.000445346164802572
Modularity : 0.566504
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,158 Twitter users whose recent tweets contained "lost baggage", 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 Wednesday, 31 August 2022 at 15:20 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 25-minute period from Monday, 22 August 2022 at 09:42 UTC to Wednesday, 31 August 2022 at 15:07 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 : 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1210] delayed,baggage [606] lost,delayed [590] help,delayed [590] baggage,compensated [590] compensated,delay [590] delay,drop [590] drop,message [590] message,gladly [590] gladly,assist [590] assist,assist Top Word Pairs in Tweet in G1:
[1182] delayed,baggage [594] lost,delayed [590] help,delayed [590] baggage,compensated [590] compensated,delay [590] delay,drop [590] drop,message [590] message,gladly [590] gladly,assist [590] assist,assist Top Word Pairs in Tweet in G2:
[66] lost,baggage [37] baggage,lost [23] receive,compensation [23] compensation,baggage [23] lost,air [23] air,travel [23] travel,read [23] read,article [23] article,learn [21] lost,luggage Top Word Pairs in Tweet in G3:
[36] lost,luggage [31] claim,lost [30] baggage,claim [29] luggage,track [28] track,baggage [28] hope,helps [25] baggage,hope [25] lost,baggage [24] hear,like [23] like,help Top Word Pairs in Tweet in G4:
[30] lost,baggage [11] baggage,report [10] customer,service [7] lost,luggage [5] baggage,tracing [5] delayed,baggage [5] access,baggage [5] lufthansa,lost [5] baggage,lost [4] call,telephone Top Word Pairs in Tweet in G5:
[26] lost,baggage [8] dublin,airport [7] aer,lingus [6] baggage,lost [6] compensation,claim [5] lost,bag [4] lost,office [4] trace,baggage [4] missing,bag [4] answer,phone Top Word Pairs in Tweet in G6:
[31] lost,baggage [7] baggage,lost [6] worst,experience [6] experience,flying [6] flying,flyspicejet [6] flyspicejet,flight [6] flight,sg8169 [6] sg8169,delhi [6] delhi,mumbai [6] mumbai,lost Top Word Pairs in Tweet in G7:
[21] lost,baggage [7] customer,service [6] lost,item [6] baggage,lost [6] etihad,etihadhelp [5] baggage,claim [5] baggage,team [5] americanair,lost [5] lost,bag [4] lost,items Top Word Pairs in Tweet in G8:
[37] lost,baggage [8] delayed,lost [6] baggage,lost [5] baggage,claim [4] alaska,airlines [3] delta,lost [3] luggage,lost [3] airline,travelled [3] delta,delta [3] checked,baggage Top Word Pairs in Tweet in G9:
[12] lost,property [10] lost,baggage [8] baggage,services [7] tapairportugal,lost [6] delayed,luggage [6] lost,item [6] crew,hand [6] services,team [6] property,office [5] information,delayed Top Word Pairs in Tweet in G10:
[23] lost,office [22] lodged,report [22] report,lost [20] office,issued [20] issued,file [20] file,reference [20] reference,track [20] track,status [20] status,baggage [20] lost,baggage Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: