The graph represents a network of 4,899 Twitter users whose tweets in the requested range contained "boeing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 18:55 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-hour, 28-minute period from Thursday, 14 November 2019 at 15:32 UTC to Friday, 15 November 2019 at 01:00 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 : 4899
Unique Edges : 6084
Edges With Duplicates : 1310
Total Edges : 7394
Number of Edge Types : 3
Mentions : 5528
Replies to : 509
Tweet : 1357
Self-Loops : 1357
Reciprocated Vertex Pair Ratio : 0.00768667642752562
Reciprocated Edge Ratio : 0.0152560842717036
Connected Components : 1055
Single-Vertex Connected Components : 684
Maximum Vertices in a Connected Component : 2737
Maximum Edges in a Connected Component : 4976
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.334719
Graph Density : 0.00022946158377169
Modularity : 0.719664
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,899 Twitter users whose tweets in the requested range contained "boeing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 15 November 2019 at 18:55 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-hour, 28-minute period from Thursday, 14 November 2019 at 15:32 UTC to Friday, 15 November 2019 at 01:00 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 : GraphServerTwitterSearch
Graph Term : boeing
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[583] boeing,777 [525] singapore,airlines [399] 777,300er [394] ก,ว [392] boeing,737 [392] ลมกระโชกแรงในช,วงไม [392] วงไม,ก [392] ว,นาท [392] นาท,ก [392] ก,อนเคร Top Word Pairs in Tweet in G1:
[276] white,supremacist [274] know,boeing [274] hate,mail [273] boeing,hate [273] mail,directed [273] directed,called [273] called,white [273] supremacist,disgraceful [272] chuckwoolery,know [209] email,employee Top Word Pairs in Tweet in G2:
[73] 737,max [69] father's,funeral [69] funeral,not' [68] boeing,737 [48] boeing,father's [37] boeing,seat [36] nasa,report [36] report,finds [36] finds,boeing [36] seat,prices Top Word Pairs in Tweet in G3:
[391] ลมกระโชกแรงในช,วงไม [391] วงไม,ก [391] ก,ว [391] ว,นาท [391] นาท,ก [391] ก,อนเคร [391] อนเคร,อง [391] อง,boeing [391] boeing,777 [391] 777,300er Top Word Pairs in Tweet in G4:
[95] seat,prices [77] 2,million [74] nasa,report [74] per,seat [71] report,finds [71] prices,60 [71] 60,higher [71] higher,spacex [70] finds,boeing [70] boeing,seat Top Word Pairs in Tweet in G5:
[52] boeing,787 [47] 787,9 [35] boeing,737 [29] qantas,research [27] research,flight [27] flight,enter [27] enter,australian [27] australian,airspace [27] airspace,16h [27] 16h,takeoff Top Word Pairs in Tweet in G6:
[137] boeing,777 [133] airlines,boeing [130] singapore,airlines [130] 777,strong [130] strong,wind [130] wind,guest [130] guest,seconds [130] seconds,before [130] before,touchdown [129] ilove_aviation,singapore Top Word Pairs in Tweet in G7:
[134] whoa,southwest [134] southwest,pilots [134] pilots,union [134] union,president [134] president,jon [134] jon,weaks [134] weaks,memo [134] memo,sent [134] sent,members [134] members,today Top Word Pairs in Tweet in G8:
[138] ex,bank [136] bank,inherently [136] inherently,corrupt [136] corrupt,unfairly [136] unfairly,forces [136] forces,americans [136] americans,subsidize [136] subsidize,foreign [136] foreign,entities [136] entities,buy Top Word Pairs in Tweet in G9:
[35] damning,report [35] report,watchdog [35] watchdog,paints [35] paints,troubling [35] troubling,picture [35] picture,relationship [35] relationship,between [35] between,nasa [35] nasa,boeing [34] washingtonpost,damning Top Word Pairs in Tweet in G10:
[76] egypt,passenger [76] passenger,jet [76] jet,carrying [76] carrying,196 [76] 196,people [76] people,burst [76] burst,flames [76] flames,landing [76] landing,airport [76] airport,egypt Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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: