The graph represents a network of 5,641 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, 02 April 2020 at 03:28 UTC.
The requested start date was Thursday, 02 April 2020 at 00:01 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 12-hour, 56-minute period from Saturday, 28 March 2020 at 00:30 UTC to Saturday, 28 March 2020 at 13:26 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 : 5641
Unique Edges : 6444
Edges With Duplicates : 1345
Total Edges : 7789
Number of Edge Types : 4
Tweet : 1041
MentionsInRetweet : 4180
Replies to : 931
Mentions : 1637
Self-Loops : 1041
Reciprocated Vertex Pair Ratio : 0.00984317650984318
Reciprocated Edge Ratio : 0.0194944655542706
Connected Components : 1032
Single-Vertex Connected Components : 486
Maximum Vertices in a Connected Component : 2536
Maximum Edges in a Connected Component : 4483
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.157738
Graph Density : 0.000190254733266196
Modularity : 0.759133
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,641 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, 02 April 2020 at 03:28 UTC.
The requested start date was Thursday, 02 April 2020 at 00:01 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 12-hour, 56-minute period from Saturday, 28 March 2020 at 00:30 UTC to Saturday, 28 March 2020 at 13:26 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:
[603] boeing,777 [510] boeing,747 [499] covid,19 [457] dreamlifter,cargo [455] cargo,plane [451] relief,efforts [450] support,covid [450] 19,relief [450] efforts,heroic [450] heroic,healthcare Top Word Pairs in Tweet in G1:
[446] covid,19 [416] relief,efforts [416] dreamlifter,cargo [415] support,covid [415] 19,relief [415] efforts,heroic [415] heroic,healthcare [415] healthcare,professionals [415] professionals,offering [415] cargo,plane Top Word Pairs in Tweet in G2:
[37] boeing,747 [33] boeing,737 [28] face,shields [23] boeing,777 [21] boeing,ba [20] boeing,787 [20] boeing,fights [20] fights,coronavirus [20] coronavirus,produce [20] produce,face Top Word Pairs in Tweet in G3:
[210] boeing,747 [174] klm,boeing [166] #queenoftheskies,klm [166] last,time [165] home,amsterdam [164] toronto,last [125] time,headed [125] headed,home [123] farwell,#queenoftheskies [123] 747,departed Top Word Pairs in Tweet in G4:
[342] govt,bring [342] bring,back [341] special,aircraft [341] aircraft,787 [341] 787,dreamliner [341] dreamliner,boeing [341] boeing,777 [341] 777,special [341] special,medical [341] medical,teams Top Word Pairs in Tweet in G5:
[16] much,spend [14] cernovich,realdonaldtrump [14] #nzks14,nzpcommissioner [14] nzherald,boeing [14] boeing,potus [14] potus,vp [14] vp,bbcbreaking [14] bbcbreaking,lewishamilton [14] lewishamilton,wbuxtonofficial [12] nzpcommissioner,nzpcommissioner Top Word Pairs in Tweet in G6:
[35] boeing,airbus [29] klm,boeing [29] airbus,transavia [29] transavia,cnn [29] cnn,telegraaf [28] federal,government [21] although,federal [21] government,end [21] end,owning [21] owning,stakes Top Word Pairs in Tweet in G7:
[139] boeing,announced [139] announced,joining [139] joining,fight [139] fight,#covid19 [139] #covid19,keys [139] keys,gt [139] gt,take [139] take,hardest [139] hardest,hit [139] hit,dow Top Word Pairs in Tweet in G8:
[35] boeing,board [25] until,last [25] last,week [23] 18b,boeing [23] board,member [23] member,until [22] matthewstoller,18b [19] areyougreatyet,charliekirk11 [12] query,boeing [11] nikkihaley,boeing Top Word Pairs in Tweet in G9:
[82] セントレアからアメリカに787の部品輸送しているドリームリフターが新型コロナウイルス関連の物資輸送に使用されるとのことです,テキスト入ってなかったので再掲 [81] centrairairport,セントレアからアメリカに787の部品輸送しているドリームリフターが新型コロナウイルス関連の物資輸送に使用されるとのことです [23] kojiinet,ドリームリフターを救援物資輸送に提供するとな [15] boeing,support [15] support,covid [15] covid,19 [15] 19,relief [15] relief,efforts [15] efforts,heroic [15] heroic,healthcare Top Word Pairs in Tweet in G10:
[79] boeing,field [74] today,planes [74] planes,usarmy [74] usarmy,doctors [74] doctors,nurses [74] nurses,support [74] support,staff [74] staff,arrived [74] arrived,king [74] king,county Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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