The graph represents a network of 7,347 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, 30 October 2020 at 03:33 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 3-hour, 0-minute period from Tuesday, 27 October 2020 at 21:00 UTC to Thursday, 29 October 2020 at 00:00 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 : 7347
Unique Edges : 3910
Edges With Duplicates : 10207
Total Edges : 14117
Number of Edge Types : 5
Retweet : 4170
MentionsInRetweet : 4839
Tweet : 2661
Mentions : 1612
Replies to : 835
Self-Loops : 2704
Reciprocated Vertex Pair Ratio : 0.0113723682188412
Reciprocated Edge Ratio : 0.0224889834371676
Connected Components : 1971
Single-Vertex Connected Components : 1249
Maximum Vertices in a Connected Component : 3405
Maximum Edges in a Connected Component : 8169
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.961919
Graph Density : 0.000121935714364857
Modularity : 0.499665
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,347 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, 30 October 2020 at 03:33 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 1-day, 3-hour, 0-minute period from Tuesday, 27 October 2020 at 21:00 UTC to Thursday, 29 October 2020 at 00:00 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[889] boeing,747 [384] iraní,sancionado [340] cabo,verde [337] 747,281 [319] escala,cabo [318] boeing,737 [310] boeing,cut [300] boeing,iraní [298] sancionado,ee [298] ee,uu Top Word Pairs in Tweet in G1:
[151] boeing,cut [85] job,cuts [79] 737,max [75] more,jobs [69] end,2021 [67] boeing,737 [66] boeing,747 [64] boeing,777 [63] united,states [55] workforce,end Top Word Pairs in Tweet in G2:
[89] boeing,ceo [63] boeing,747 [52] ceo,david [52] david,calhoun [42] 130,000 [40] breaking,boeing [39] company,130 [38] boeing,777 [36] air,air [34] next,year Top Word Pairs in Tweet in G3:
[328] boeing,747 [304] 747,281 [262] qfz9970,boeing [219] fars,air [217] air,qeshm [197] 281,fars [177] qeshm,carga [177] carga,aérea [174] aérea,guardia [173] guardia,nación Top Word Pairs in Tweet in G4:
[208] lockdown,effect [208] effect,wa [208] wa,workers [208] workers,sure [208] sure,thank [208] thank,gov [208] gov,seattle [208] seattle,mayor [207] larryschweikart,lockdown [3] #stocks,set Top Word Pairs in Tweet in G5:
[203] boeing,iraní [203] iraní,sancionado [203] sancionado,ee [203] ee,uu [203] uu,aterrizó [203] aterrizó,maiquetía [203] maiquetía,tras [203] tras,escala [203] escala,cabo [203] cabo,verde Top Word Pairs in Tweet in G6:
[122] vegas,sands [122] sands,boeing [122] boeing,747sp [122] 747sp,presumably [122] presumably,vp [122] vp,bms [122] bms,built [122] built,1979 [122] 1979,critically [122] critically,damaged Top Word Pairs in Tweet in G7:
[122] king,queen [122] queen,ubon [122] ubon,ratchathani [122] ratchathani,today [122] today,flew [122] flew,back [122] back,one [122] one,king [122] king,personal [122] personal,boeing Top Word Pairs in Tweet in G8:
[114] boeing,747 [111] #ultimahora,arribando [111] arribando,maiquetia [111] maiquetia,lado [111] lado,mundo [111] mundo,república [111] república,islámica [111] islámica,iran [111] iran,boeing [111] 747,200 Top Word Pairs in Tweet in G9:
[111] 267,personas [111] hubieran,viajado [111] viajado,boeing [111] boeing,787 [94] ayer,murieron [94] murieron,267 [94] personas,covid19 [94] covid19,hubieran [94] 787,prensa [94] prensa,radios Top Word Pairs in Tweet in G10:
[15] boeing,cutting [15] realdonaldtrump,boeing [13] cutting,000 [13] 000,jobs [13] dow,jones [13] jones,tumbles [13] tumbles,850 [13] 850,points [13] points,pandemic [13] pandemic,fears Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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: