The graph represents a network of 7,439 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 Thursday, 29 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, 6-hour, 51-minute period from Tuesday, 27 October 2020 at 17:09 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 : 7439
Unique Edges : 4067
Edges With Duplicates : 10081
Total Edges : 14148
Number of Edge Types : 5
Retweet : 4204
MentionsInRetweet : 4931
Tweet : 2649
Mentions : 1523
Replies to : 841
Self-Loops : 2678
Reciprocated Vertex Pair Ratio : 0.00781484821160204
Reciprocated Edge Ratio : 0.0155084998508798
Connected Components : 2003
Single-Vertex Connected Components : 1254
Maximum Vertices in a Connected Component : 3393
Maximum Edges in a Connected Component : 8217
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.780483
Graph Density : 0.000121197264144359
Modularity : 0.507449
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,439 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 Thursday, 29 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, 6-hour, 51-minute period from Tuesday, 27 October 2020 at 17:09 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:
[1015] boeing,747 [382] iraní,sancionado [380] fars,air [376] cabo,verde [353] 747,281 [329] escala,cabo [327] qfz9970,boeing [326] boeing,737 [313] air,qeshm [298] boeing,iraní Top Word Pairs in Tweet in G1:
[132] boeing,cut [78] job,cuts [72] united,states [71] 737,max [69] boeing,777 [68] boeing,747 [68] more,jobs [66] boeing,737 [58] frm,hrzn [58] hrzn,heading Top Word Pairs in Tweet in G2:
[87] boeing,ceo [50] boeing,747 [47] ceo,david [47] david,calhoun [42] air,air [40] 130,000 [39] breaking,boeing [38] company,130 [35] boeing,made [35] made,harpoon Top Word Pairs in Tweet in G3:
[400] boeing,747 [322] 747,281 [305] fars,air [300] qfz9970,boeing [258] air,qeshm [236] 281,fars [207] qeshm,carga [207] carga,aérea [204] aérea,guardia [203] 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:
[198] escala,cabo [198] cabo,verde [197] boeing,iraní [197] iraní,sancionado [197] sancionado,ee [197] ee,uu [197] uu,aterrizó [197] aterrizó,maiquetía [197] maiquetía,tras [197] tras,escala Top Word Pairs in Tweet in G6:
[68] years,ago [66] remarkable,really [66] really,boeing [66] boeing,building [66] building,core [66] core,stage [66] stage,sls [66] sls,rocket [66] rocket,2014 [66] 2014,six Top Word Pairs in Tweet in G7:
[118] vegas,sands [118] sands,boeing [118] boeing,747sp [118] 747sp,presumably [118] presumably,vp [118] vp,bms [118] bms,built [118] built,1979 [118] 1979,critically [118] critically,damaged Top Word Pairs in Tweet in G8:
[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 G9:
[115] boeing,747 [112] #ultimahora,arribando [112] arribando,maiquetia [112] maiquetia,lado [112] lado,mundo [112] mundo,república [112] república,islámica [112] islámica,iran [112] iran,boeing [112] 747,200 Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: