The graph represents a network of 16,303 Twitter users whose recent tweets contained "Aviation", 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 04:00 UTC.
The tweets in the network were tweeted over the 2-day, 2-hour, 48-minute period from Monday, 16 August 2021 at 23:45 UTC to Thursday, 19 August 2021 at 02:33 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 : 16303
Unique Edges : 22696
Edges With Duplicates : 7908
Total Edges : 30604
Number of Edge Types : 5
Replies to : 3000
Retweet : 9182
MentionsInRetweet : 6777
Mentions : 5932
Tweet : 5713
Self-Loops : 5836
Reciprocated Vertex Pair Ratio : 0.0208177044261065
Reciprocated Edge Ratio : 0.0407863310674261
Connected Components : 3600
Single-Vertex Connected Components : 2052
Maximum Vertices in a Connected Component : 8269
Maximum Edges in a Connected Component : 20384
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.250033
Graph Density : 8.19199933344246E-05
Modularity : 0.697149
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 16,303 Twitter users whose recent tweets contained "Aviation", 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 04:00 UTC.
The tweets in the network were tweeted over the 2-day, 2-hour, 48-minute period from Monday, 16 August 2021 at 23:45 UTC to Thursday, 19 August 2021 at 02:33 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 : Aviation
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:
[937] civil,aviation [774] left,behind [773] mh,60 [772] taliban,flying [768] ge,aviation [767] special,aviation [764] forces,units [762] supplied,ana [762] ana,special [762] aviation,spec Top Word Pairs in Tweet in G1:
[152] forecast,discussion [134] area,forecast [131] issues,area [131] discussion,afd [131] afd,aug [119] civil,aviation [89] aviation,wire [74] aviation,services [73] ge,aviation [67] aug,17 Top Word Pairs in Tweet in G2:
[264] #avgeek,#aviation [256] #aviation,#avgeek [143] kn,bearing [120] #aviation,#haveglass [120] #haveglass,#planealert [117] air,force [96] bearing,unknown [84] #avgeek,#avgeeks [81] #avgeek,#airplane [74] speed,unknown Top Word Pairs in Tweet in G3:
[30] aviation_intel,malcolmnance [24] hours,ago [23] tepper,aviation [23] alex_beelzebub,aviation_intel [22] particularly,air [22] ago,cia [22] cia,linked [22] linked,northcap [22] northcap,llc [22] llc,owned Top Word Pairs in Tweet in G4:
[506] ge,aviation [477] aviation,usa [463] rs,5375 [457] 5375,crores [405] civil,aviation [354] aviation,minister [338] jyotiraditya,scindia [331] minister,jyotiraditya [271] 716,million [268] support,services Top Word Pairs in Tweet in G5:
[758] material,implications [758] implications,kabul [758] kabul,friends [758] friends,taliban [758] taliban,flying [758] flying,mh [758] mh,60 [758] 60,stealth [758] stealth,helicopter [758] helicopter,supplied Top Word Pairs in Tweet in G6:
[65] civil,aviation [60] ge,aviation [56] commercial,#aviation [53] read,more [51] #aviation,#engineering [50] years,ago [49] cf6,engine [49] #cf6power,#aviation [46] today,celebrate [46] celebrate,50th Top Word Pairs in Tweet in G7:
[77] civil,aviation [48] aviation,minister [47] र,क [44] स,ध [44] ध,य [43] व,पस [43] पस,ल [41] व,यक [41] यक,त [41] त,क Top Word Pairs in Tweet in G8:
[64] ras,1st [64] 1st,time [64] time,transferring [64] transferring,live [64] live,munitions [64] munitions,today [64] today,14540kg [64] 14540kg,loaded [64] loaded,rfafortvictoria [64] rfafortvictoria,along Top Word Pairs in Tweet in G9:
[90] zara,rutherford [90] rutherford,19 [90] 19,setting [90] setting,32 [90] 32,000 [90] 000,mile [90] mile,journey [90] journey,around [90] around,world [90] world,hopes Top Word Pairs in Tweet in G10:
[168] 500,000 [167] aviation,fuel [162] fuel,facility [159] 000,litre [159] litre,aviation [151] operational,base [148] earlier,year [148] year,donated [148] donated,operational [148] operational,vehicle Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: