The graph represents a network of 19,253 Twitter users whose recent tweets contained "Airline", 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 Thursday, 19 August 2021 at 00:34 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 22-minute period from Monday, 16 August 2021 at 23:24 UTC to Wednesday, 18 August 2021 at 23:47 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 : 19253
Unique Edges : 21709
Edges With Duplicates : 3528
Total Edges : 25237
Number of Edge Types : 5
Retweet : 10310
MentionsInRetweet : 3157
Replies to : 4044
Mentions : 3934
Tweet : 3792
Self-Loops : 3850
Reciprocated Vertex Pair Ratio : 0.0108512914565184
Reciprocated Edge Ratio : 0.021469609918355
Connected Components : 3966
Single-Vertex Connected Components : 2072
Maximum Vertices in a Connected Component : 9404
Maximum Edges in a Connected Component : 13906
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.756625
Graph Density : 5.35317179988593E-05
Modularity : 0.800431
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 19,253 Twitter users whose recent tweets contained "Airline", 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 Thursday, 19 August 2021 at 00:34 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 22-minute period from Monday, 16 August 2021 at 23:24 UTC to Wednesday, 18 August 2021 at 23:47 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 : Airline
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4986] air,peace [3315] flight,ibadan [2545] airline,miles [2317] legal,approval [2317] approval,travel [2316] travel,afford [2316] afford,airfare [2063] asylum,seekers [2060] refugees,asylees [2060] asylees,asylum Top Word Pairs in Tweet in G1:
[180] airline,passengers [162] covid,19 [160] mask,rule [148] rule,airline [143] airline,flights [134] public,transportation [128] federal,officials [124] people,airline [124] flights,public [123] officials,extending Top Word Pairs in Tweet in G2:
[2003] airline,miles [2000] miles,donate [2000] refugees,asylees [2000] asylees,asylum [2000] asylum,seekers [1998] donate,refugees [1998] seekers,immediate [1998] immediate,family [1998] family,members [1998] members,legal Top Word Pairs in Tweet in G3:
[4782] air,peace [3192] flight,ibadan [1596] peace,airline [1593] morning,received [1593] received,first [1593] first,air [1593] peace,flight [1593] ibadan,air [1593] peace,operate [1593] operate,daily Top Word Pairs in Tweet in G4:
[45] looks,airline [44] back,back [44] back,announcements [44] announcements,gofirstairways [44] gofirstairways,quite [44] quite,thing [44] thing,industry [44] industry,severely [44] severely,impacted [44] impacted,covid Top Word Pairs in Tweet in G5:
[80] member,airlines [80] flyethiopian,airline [79] think,fair [79] fair,staralliance [79] staralliance,member [79] airlines,such [79] such,lufthansa [79] lufthansa,sas [79] sas,united [79] united,others Top Word Pairs in Tweet in G6:
[439] delta,airline [428] face,cap [427] video,nigeria [427] nigeria,infamous [427] infamous,information [427] information,minister [427] minister,lai [427] lai,mohammed [427] mohammed,travelling [427] travelling,lagos Top Word Pairs in Tweet in G7:
[467] wayv,airline [447] ชอบท,ทำท [447] ทำท,กอย [447] กอย,างให [447] างให,เป [447] เป,น [447] น,wayv [447] wayv,อ [447] อ,ะ [447] ะ,ชอบมากกก Top Word Pairs in Tweet in G8:
[291] airline,miles [291] legal,approval [291] approval,travel [291] travel,afford [291] afford,airfare [278] donate,airline [278] miles,those [278] those,legal [278] airfare,donate [278] donate,help Top Word Pairs in Tweet in G9:
[174] kam,air [91] afghan,airline [82] one,afghan [82] airline,kam [82] air,737s [82] 737s,way [82] way,afghanistan [82] afghanistan,kmj [82] kmj,one [82] one,737s Top Word Pairs in Tweet in G10:
[324] #twice,#once [324] #once,#breaktudoawards [323] vote,#twice [323] #breaktudoawards,2021 [301] jypetwice,airline [253] tfvunion,jypetwice [250] airline,vote [163] 2021,jypetwice [160] 2021,#votetwiceonbreaktudo [158] #votetwiceonbreaktudo,jypetwice Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: