The graph represents a network of 6,611 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, 23 June 2022 at 03:08 UTC.
The requested start date was Thursday, 23 June 2022 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, 22-hour, 9-minute period from Tuesday, 21 June 2022 at 01:40 UTC to Wednesday, 22 June 2022 at 23:50 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 : 6611
Unique Edges : 4135
Edges With Duplicates : 10640
Total Edges : 14775
Number of Edge Types : 5
Retweet : 3872
MentionsInRetweet : 4903
Tweet : 3183
Replies to : 757
Mentions : 2060
Self-Loops : 3220
Reciprocated Vertex Pair Ratio : 0.0107366537429168
Reciprocated Edge Ratio : 0.0212452050752434
Connected Components : 1448
Single-Vertex Connected Components : 755
Maximum Vertices in a Connected Component : 2561
Maximum Edges in a Connected Component : 7906
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.878227
Graph Density : 0.00015510755351817
Modularity : 0.474167
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,611 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, 23 June 2022 at 03:08 UTC.
The requested start date was Thursday, 23 June 2022 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, 22-hour, 9-minute period from Tuesday, 21 June 2022 at 01:40 UTC to Wednesday, 22 June 2022 at 23:50 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:
[1115] boeing,737 [576] boeing,787 [572] boeing,747 [459] ft,distance [459] km,speed [412] mph,squawk [409] 737,max [376] united,kingdom [328] distance,14 [306] business,insider Top Word Pairs in Tweet in G1:
[185] boeing,737 [124] away,heading [114] times,before [105] boeing,747 [104] tracked,flights [104] #abovebracknell,#rg12 [104] #rg12,#rg42 [104] #rg42,#adsb [104] #adsb,seen [104] seen,aircraft Top Word Pairs in Tweet in G2:
[459] ft,distance [459] km,speed [412] mph,squawk [370] united,kingdom [361] boeing,737 [328] distance,14 [277] boeing,737ng [247] times,#scotradar [224] 737ng,8as [210] 737,max Top Word Pairs in Tweet in G3:
[91] boeing,777 [65] boeing,737 [55] boeing,747 [50] airbus,boeing [47] sydoperahouse,qantas [46] qantas,airbus [45] airlines,boeing [45] boeing,787 [35] angeles,international [34] boeing,emirates Top Word Pairs in Tweet in G4:
[259] destruiremos,rusia [259] rusia,sanciones [259] sanciones,wall [259] wall,street [259] street,informó [259] informó,boeing [259] boeing,detuvo [259] detuvo,producción [259] producción,aviones [259] aviones,10 Top Word Pairs in Tweet in G5:
[37] anyone's,wondering [37] wondering,much [37] much,bigger [37] bigger,777x [37] 777x,pair [37] pair,#boeing [37] #boeing,#777x [37] #777x,parked [37] parked,next [37] next,#737max Top Word Pairs in Tweet in G6:
[129] abramovich's,boeing [129] boeing,787 [129] 350,million [119] usa,confiscate [119] confiscate,abramovich's [119] 787,350 [119] million,business [119] business,insider [118] flash43191300,usa [59] wipljw,boeing Top Word Pairs in Tweet in G7:
[155] 757,225 [154] ghana,international [154] international,airline [154] airline,boeing [154] boeing,757 [154] 225,gatwick [154] gatwick,airport [154] airport,11 [154] 11,11 [154] 11,2005 Top Word Pairs in Tweet in G8:
[146] big,lie [144] home,depot [143] top,10 [143] 10,patriotic [143] patriotic,companies [143] companies,support [143] support,big [143] lie,politicians [143] politicians,koch [143] koch,boeing Top Word Pairs in Tweet in G9:
[134] boeing,747 [61] airways,boeing [39] see,photos [33] virgin,atlantic [33] atlantic,airways [30] nippon,airways [26] moody,shot [26] shot,pan [26] pan,american [26] american,world Top Word Pairs in Tweet in G10:
[139] captain,monica [139] monica,khanna [139] khanna,pilot [139] pilot,command [139] command,today [139] today,saved [139] saved,185 [139] 185,souls [139] souls,board [139] board,boeing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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 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 G9:
Top Tweeters in G10: