The graph represents a network of 4,205 Twitter users whose recent tweets contained "boeing", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 03:59 UTC.
The tweets in the network were tweeted over the 3571-day, 8-hour, 12-minute period from Tuesday, 19 March 2013 at 16:48 UTC to Thursday, 29 December 2022 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4205
Unique Edges : 2238
Edges With Duplicates : 8657
Total Edges : 10895
Number of Edge Types : 9
Retweet : 2571
MentionsInRetweet : 3319
Tweet : 2051
Replies to : 679
MentionsInReplyTo : 1542
Mentions : 443
MentionsInQuote : 123
Quote : 56
MentionsInQuoteReply : 111
Self-Loops : 2214
Reciprocated Vertex Pair Ratio : 0.0202745512143611
Reciprocated Edge Ratio : 0.0397433243634858
Connected Components : 813
Single-Vertex Connected Components : 436
Maximum Vertices in a Connected Component : 1953
Maximum Edges in a Connected Component : 5815
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.30042
Graph Density : 0.000273280302661754
Modularity : 0.443431
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,205 Twitter users whose recent tweets contained "boeing", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 03:59 UTC.
The tweets in the network were tweeted over the 3571-day, 8-hour, 12-minute period from Tuesday, 19 March 2013 at 16:48 UTC to Thursday, 29 December 2022 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1627] boeing,737 [873] airlines,boeing [828] ethiopian,airlines [726] alula,abanega [721] 737,landed [569] landed,#mekelle [569] #mekelle,alula [563] commercial,flight [561] abanega,airport [561] first,commercial Top Word Pairs in Tweet in G1:
[598] boeing,737 [598] alula,abanega [597] airlines,boeing [596] ethiopian,airlines [596] 737,landed [549] #mekelle,alula [548] landed,#mekelle [542] abanega,airport [541] airport,first [541] commercial,flight Top Word Pairs in Tweet in G2:
[231] times,#scotradar [181] km,speed [181] mph,squawk [181] ft,distance [169] boeing,737 [159] type,boeing [148] distance,14 [121] united,kingdom [98] 737,max [98] boeing,747 Top Word Pairs in Tweet in G3:
[164] ethiopian,airlines [127] boeing,737 [118] alula,abanega [116] 737,landed [116] airlines,boeing [108] mekelle,alula [108] landed,mekelle [108] abanega,international [107] international,airport [105] tigrai_tv,ethiopian Top Word Pairs in Tweet in G4:
[269] #pilot,#pilotlife [266] #avgeek,#pilot [168] #pilotlife,#airl [155] justplanes,10mins [110] mumbai,airport [110] airport,#avgeek [110] 10mins,mumbai [86] airlines,boeing [71] boeing,767 [62] american,airlines Top Word Pairs in Tweet in G5:
[167] peace,2019 [167] air,peace [167] capt,simisola [167] near,tragedy [167] 2019,plane [167] plane,airpeace [167] pilot,averted [167] simisola,pilot [167] averted,near [167] tragedy,air Top Word Pairs in Tweet in G6:
[333] boeing,737 [319] 12,2022 [314] 28,12 [223] ryanair,boeing [213] reg,ei [179] 737,8as [118] heading,nne [115] nw,havant [69] sw,havant [68] heading,ssw Top Word Pairs in Tweet in G7:
[99] airport,tell [99] tell,people [99] one,airport [99] people,really [98] qagreenways,one Top Word Pairs in Tweet in G8:
[23] ethiopian,airlines [22] crash,ethiopian [22] march,2019 [22] 2019,crash [17] boeing,737 [16] 737,max [15] investigation,report [15] airlines,boeing [15] max,#et302 [15] final,investigation Top Word Pairs in Tweet in G9:
[6] everett,factory [6] delivery,atlas [6] air,early [6] 747,left [6] factory,ahead [6] ahead,delivery [6] last,747 [6] early,2023 [6] goes,last [6] atlas,air Top Word Pairs in Tweet in G10:
[31] ufos,defying [31] defying,known [31] ve,seen [31] captured,cigar [31] tech,captured [31] camera,#ufo [31] seen,ufos [31] object,camera [31] pilot,ve [31] cigar,shaped Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G2:
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: